A Monitoring Method for Valve Body Cutting and Forming Processes in New Energy Vehicles Based on Process Tracking

Abstract

The present invention relates to a new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking, which belongs to the technical field of new energy vehicle valve body cutting and forming processing. The present invention inputs the required accuracy information in the processing drawings of the new energy vehicle valve body, and makes processing judgments according to the processing accuracy change characteristics and required accuracy information of the processing machine tool during the processing of the new energy vehicle valve body, obtains the processing analysis results, and finally introduces a genetic algorithm to perform cutting and forming processing allocation on the processing machine tool based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body. The present invention monitors the processing accuracy of the processing equipment, thereby making judgments according to the processing accuracy of the processing equipment and the required accuracy data in the processing drawings of the new energy vehicle valve body, and then adjusting the distribution of the processing work according to the judgment results.

Description

Technical Field

[0001] The present invention relates to the technical field of cutting and forming processing of valve bodies of new energy vehicles, and in particular to a cutting and forming processing monitoring method of valve bodies of new energy vehicles based on processing tracking. Background Art

[0002] New energy vehicles refer to vehicles that use unconventional vehicle fuels as power sources (or use conventional vehicle fuels and new vehicle power devices), integrate advanced technologies in vehicle power control and drive, and form vehicles with advanced technical principles, new technologies, and new structures. The valve body is an important component of new energy vehicles, such as the throttle body. The throttle body is a device on the engine intake system. The throttle body is generally divided into three parts: the actuator, the throttle plate, and the throttle position sensor. The throttle body is a valve that controls how much air the engine inhales. The stability of its working state will directly affect the working state of new energy vehicles. Cutting and forming processing is one of the important processing procedures for new energy vehicle valve bodies. Due to the performance degradation of the processing equipment during service, the processing accuracy will change to a certain extent. For some new energy vehicle valve bodies that require higher processing accuracy, when the processing order volume of new energy vehicle valve bodies is large, some processing equipment that does not meet the processing accuracy will continue to process, which will cause the processed new energy vehicle valve bodies to not meet the requirements, resulting in an increase in the processing cost of new energy vehicle valve bodies. Summary of the invention

[0003] The present invention overcomes the shortcomings of the prior art and provides a new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking, comprising the following steps:

[0006] Acquire historical machining accuracy characteristic change data of the machining machine tool at various machining temperatures, and construct a machining accuracy change curve of the machining machine tool based on the historical machining accuracy characteristic change data of the machining machine tool at various machining temperatures;

[0007] Acquire predicted processing temperature data of a processing machine tool during processing of a valve body of a new energy vehicle, and predict processing accuracy variation characteristics of the processing machine tool during processing of the valve body of a new energy vehicle based on the predicted processing temperature data of the processing machine tool during processing of the valve body of a new energy vehicle;

[0008] Input the required accuracy information in the processing drawings of the new energy vehicle valve body, and make processing judgments based on the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body and the required accuracy information to obtain the processing analysis results;

[0009] Genetic algorithm is introduced to allocate cutting and forming processing to processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body.

[0010] Furthermore, in this method, historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures are obtained, and a processing accuracy change curve of the processing machine tool is constructed based on the historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures, specifically:

[0011] Obtain historical processing accuracy characteristic change data of the processing machine tool at each processing temperature, construct a timestamp, sort the historical processing accuracy characteristic change data of each processing machine tool at each processing temperature according to the order of the timestamps, and obtain the processing accuracy characteristic change data of each processing machine tool based on the time series;

[0012] Constructing a machining accuracy variation model diagram of a machining machine tool, and sequentially inputting machining accuracy data in each time stamp in the machining accuracy characteristic variation data based on a time series of each machining machine tool into the machining accuracy variation model diagram of the machining machine tool;

[0013] When the machining accuracy data in each timestamp is displayed in the machining accuracy change model diagram, adjacent nodes are connected through a smooth curve to generate a machining accuracy change curve of the machining machine tool.

[0014] Furthermore, in this method, the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body is obtained, specifically:

[0015] Obtain the historical temperature characteristic data of the machining machine during the machining of the valve body of new energy vehicles, build a machining temperature data prediction model based on a deep neural network, and introduce an attention mechanism;

[0016] The historical temperature characteristic data set of the machining machine tool in the process of machining the valve body of the new energy vehicle is used as the training set, and the temperature characteristic data in the training set is processed through the attention mechanism to obtain the temperature characteristic graph;

[0017] By performing a SoftMax operation on each temperature feature data in the temperature feature map, a normalized feature map with attention is obtained, and an inner product operation is performed on the normalized feature map with attention and the temperature feature data in the training set;

[0018] Focus on the temperature feature data, generate a temperature attention feature map, input the temperature attention feature map into the hidden layer, and work with the hidden state in the hidden layer to update the hidden layer state.

[0019] Real-time processing material data is obtained, and the real-time processing material data is input into the processing temperature data prediction model for prediction, so as to obtain the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body.

[0020] Furthermore, in this method, the machining accuracy change characteristics of the machining tool in the process of machining the new energy vehicle valve body are predicted according to the predicted machining temperature data of the machining tool in the process of machining the new energy vehicle valve body and the machining accuracy change curve of the machining tool, specifically:

[0021] Acquire machining accuracy data of a machining machine tool within a preset time, divide the machining accuracy change curve of the machining machine tool into a plurality of sub-curve graphs, and acquire a plurality of sub-curve graphs of each machining accuracy change curve;

[0022] Draw a machining accuracy curve within a preset time according to the machining accuracy data of the machining machine tool within the preset time, and screen several sub-curves of each machining accuracy change curve based on the predicted machining temperature data of the machining machine tool during the machining of the valve body of the new energy vehicle;

[0023] By screening, several sub-curve graphs that meet the predicted processing temperature data are selected, and the Mahalanobis distance value between each sub-curve graph and the processing accuracy curve graph within a preset time is calculated;

[0024] The sub-curve whose Mahalanobis distance value is not greater than the preset Mahalanobis distance value is taken as the migration target curve, and the machining accuracy change characteristics of the migration target curve within the preset time are extracted and output as the machining accuracy change characteristics of the machining machine tool during the process of machining the valve body of the new energy vehicle.

[0025] Furthermore, in this method, a processing judgment is made according to the processing accuracy change characteristics and required accuracy information of the processing machine tool during the processing of the valve body of the new energy vehicle, and the processing analysis results are obtained, specifically:

[0026] Determine whether the machining accuracy variation characteristics of the machining machine tool during the machining of the valve body of the new energy vehicle are greater than the required accuracy information;

[0027] When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information, the corresponding machining machine tool is used as the machining machine tool that can normally machine the current new energy vehicle valve body;

[0028] When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is not greater than the required accuracy information, the corresponding machining machine tool is regarded as a machining machine tool that cannot normally machine the current new energy vehicle valve body;

[0029] A processing analysis result is generated based on a processing machine tool that can normally process the current new energy vehicle valve body and a processing machine tool that cannot normally process the current new energy vehicle valve body, and the processing analysis result is output.

[0030] Furthermore, in this method, a genetic algorithm is introduced to allocate cutting and forming processing to the processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body, specifically:

[0031] Genetic algorithms are introduced, genetic algebra is set based on genetic algorithms, and machining machine tools are randomly selected according to machining analysis results to construct a machining machine tool combination for new energy vehicle valve bodies.

[0032] Determine whether the combination of machining machine tools for the valve body of new energy vehicles are all machining machine tools that can normally process the valve body of the current new energy vehicle;

[0033] When all the processing machines in the processing machine tool combination for the new energy vehicle valve body are processing machines that can normally process the current new energy vehicle valve body, the processing machine tool combination for the new energy vehicle valve body is output, and the processing machines are assigned for cutting and forming processing according to the processing machine tool combination for the new energy vehicle valve body;

[0034] When not all the machining machines in the machining machine tool combination for the new energy vehicle valve body are machining machines that can normally machine the current new energy vehicle valve body, inheritance is performed based on genetic algebra to update the machining machine tool combination for the new energy vehicle valve body until all the machining machines in the machining machine tool combination for the new energy vehicle valve body are machining machines that can normally machine the current new energy vehicle valve body.

[0035] The second aspect of the present invention provides a new energy vehicle valve body cutting and forming processing monitoring system based on processing tracking, including a memory and a processor. The memory includes a new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking. When the new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking is executed by the processor, any step of the new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking is implemented.

[0036] A third aspect of the present invention provides an electronic device, comprising:

[0037] A processing accuracy change curve construction module is used to obtain historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures, and to construct a processing accuracy change curve of the processing machine tool based on the historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures;

[0038] The processing accuracy variation characteristic analysis module obtains the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body, and predicts the processing accuracy variation characteristics of the processing machine tool during the processing of the new energy vehicle valve body according to the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body;

[0039] The processing judgment module inputs the required accuracy information in the processing drawing of the new energy vehicle valve body, and performs processing judgment according to the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body and the required accuracy information to obtain the processing analysis results;

[0040] The processing work allocation module introduces a genetic algorithm to allocate cutting and forming processing to the processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body.

[0041] The fourth aspect of the present invention provides a computer-readable storage medium, which includes a program for monitoring the cutting and forming processing of a valve body of a new energy vehicle based on processing tracking. When the program for monitoring the cutting and forming processing of a valve body of a new energy vehicle based on processing tracking is executed by a processor, any step of the method for monitoring the cutting and forming processing of a valve body of a new energy vehicle based on processing tracking is implemented.

[0042] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0043] The present invention obtains the historical processing accuracy characteristic change data of the processing machine tool under each processing temperature, constructs the processing accuracy change curve of the processing machine tool based on the historical processing accuracy characteristic change data of the processing machine tool under each processing temperature, and then obtains the predicted processing temperature data of the processing machine tool in the process of processing the valve body of the new energy vehicle, and predicts the processing accuracy change characteristics of the processing machine tool in the process of processing the valve body of the new energy vehicle according to the predicted processing temperature data of the processing machine tool in the process of processing the valve body of the new energy vehicle, thereby inputting the required accuracy information in the processing drawing of the valve body of the new energy vehicle, and performing processing judgment according to the processing accuracy change characteristics and required accuracy information of the processing machine tool in the process of processing the valve body of the new energy vehicle, obtaining the processing analysis result, and finally introducing the genetic algorithm, and performing cutting and forming processing allocation on the processing machine tool based on the processing analysis result and the required accuracy information in the processing drawing of the valve body of the new energy vehicle. The present invention monitors and tracks the processing accuracy of the processing equipment, and thus makes a judgment according to the processing accuracy of the processing equipment and the required accuracy data in the processing drawing of the valve body of the new energy vehicle, and then adjusts the distribution of the processing work according to the judgment result, realizes tracking and monitoring in the processing process, and realizes dynamic allocation analysis of the processing order. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0045] Figure 1 The overall flow chart of the new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking is shown;

[0046] Figure 2 A partial flow chart of a method for monitoring the cutting and forming process of a valve body of a new energy vehicle based on process tracking is shown;

[0047] Figure 3 The system block diagram of the new energy vehicle valve body cutting and forming processing monitoring system based on processing tracking is shown;

[0048] Figure 4 is a schematic diagram showing an electronic device. DETAILED DESCRIPTION

[0049] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0051] like Figure 1 As shown, the first aspect of the present invention provides a new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking, comprising the following steps:

[0052] S102: Acquire historical machining accuracy characteristic change data of the machining machine tool at various machining temperatures, and construct a machining accuracy change curve of the machining machine tool based on the historical machining accuracy characteristic change data of the machining machine tool at various machining temperatures;

[0053] Furthermore, in step S102 of the method, specifically:

[0054] Obtain historical processing accuracy characteristic change data of the processing machine tool at each processing temperature, construct a timestamp, sort the historical processing accuracy characteristic change data of each processing machine tool at each processing temperature according to the order of the timestamps, and obtain the processing accuracy characteristic change data of each processing machine tool based on the time series;

[0055] Constructing a machining accuracy variation model diagram of a machining machine tool, and sequentially inputting machining accuracy data in each time stamp in the machining accuracy characteristic variation data based on a time series of each machining machine tool into the machining accuracy variation model diagram of the machining machine tool;

[0056] When the machining accuracy data in each timestamp is displayed in the machining accuracy change model diagram, adjacent nodes are connected through a smooth curve to generate a machining accuracy change curve of the machining machine tool.

[0057] It should be noted that during the processing of the valve body of new energy vehicles, the final shape and size of the parts will change due to the high temperature generated by the contact between the tool and the valve body blank of the new energy vehicle, the influence of the ambient temperature, etc. The processing temperature factor causes the final shape and size of the parts to change. Processing deformation can be divided into mechanically induced deformation and thermally induced deformation. In most cases, processing deformation is mainly the result of mechanical and thermal coupling, which is caused by uneven stress distribution and low workpiece stiffness. Processing deformation can cause poor surface quality of the workpiece, reduced geometric accuracy and possible residual stress. This method can construct the historical change curve of the processing accuracy of the processing machine tool under various processing temperatures, so as to more intuitively observe the processing accuracy change characteristic data of the processing equipment.

[0058] S104: acquiring predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body, and predicting the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body according to the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body;

[0059] Furthermore, in step S104 of the method, the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body is obtained, specifically:

[0060] Obtain the historical temperature characteristic data of the machining machine during the machining of the valve body of new energy vehicles, build a machining temperature data prediction model based on a deep neural network, and introduce an attention mechanism;

[0061] The historical temperature characteristic data set of the machining machine tool in the process of machining the valve body of the new energy vehicle is used as the training set, and the temperature characteristic data in the training set is processed through the attention mechanism to obtain the temperature characteristic graph;

[0062] By performing a SoftMax operation on each temperature feature data in the temperature feature map, a normalized feature map with attention is obtained, and an inner product operation is performed on the normalized feature map with attention and the temperature feature data in the training set;

[0063] Focus on the temperature feature data, generate a temperature attention feature map, input the temperature attention feature map into the hidden layer, and work with the hidden state in the hidden layer to update the hidden layer state.

[0064] Real-time processing material data is obtained, and the real-time processing material data is input into the processing temperature data prediction model for prediction, so as to obtain the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body.

[0065] It should be noted that by collecting the historical temperature characteristic data of the processing machine tool during the processing of the new energy vehicle valve body, since the temperature characteristics of the new energy vehicle valve body of different processing materials (such as stainless steel 304, stainless steel 316, aluminum alloy materials, etc.) are inconsistent during processing, by integrating the attention mechanism, the attention is focused on the temperature characteristic data to avoid the interference of multi-scale data. Deep neural networks include recursive neural networks, convolutional neural networks, long and short time memory neural networks, etc. Among them, in fact, in this step, the real-time processing material data (material type) is input into the model for prediction, so that the output of the model is the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body. During the training process, the temperature characteristics of the new energy vehicle valve body of stainless steel 304 material during processing, the temperature characteristics of the new energy vehicle valve body of stainless steel 316 material during processing, etc. are trained, and the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body is obtained by analyzing and comparing with the actual input value.

[0066] Further, in step S104 of the method, the machining accuracy change characteristics of the machining tool in the process of machining the new energy vehicle valve body are predicted according to the predicted machining temperature data of the machining tool in the process of machining the new energy vehicle valve body and the machining accuracy change curve of the machining tool, specifically:

[0067] Acquire machining accuracy data of a machining machine tool within a preset time, divide the machining accuracy change curve of the machining machine tool into a plurality of sub-curve graphs, and acquire a plurality of sub-curve graphs of each machining accuracy change curve;

[0068] Draw a machining accuracy curve within a preset time according to the machining accuracy data of the machining machine tool within the preset time, and screen several sub-curves of each machining accuracy change curve based on the predicted machining temperature data of the machining machine tool during the machining of the valve body of the new energy vehicle;

[0069] By screening, several sub-curve graphs that meet the predicted processing temperature data are selected, and the Mahalanobis distance value between each sub-curve graph and the processing accuracy curve graph within a preset time is calculated;

[0070] The sub-curve whose Mahalanobis distance value is not greater than the preset Mahalanobis distance value is taken as the migration target curve, and the machining accuracy change characteristics of the migration target curve within the preset time are extracted and output as the machining accuracy change characteristics of the machining machine tool during the process of machining the valve body of the new energy vehicle.

[0071] It should be noted that, in fact, when the sample data reaches a certain amount, similarity analysis is an important means of evaluating the performance of processing equipment. In fact, due to the interference of multiple factors, it will always be difficult for the processing equipment to be consistent with the curve related to the historical processing accuracy data, that is, the processing equipment will fit the historical sub-curves of multiple processing equipment, that is, the previous preset time is the historical sub-curve of a processing equipment, and the next preset time is the historical sub-curve of the next processing equipment. When the Mahalanobis distance value is greater than the preset Mahalanobis distance value, it means that the processing accuracy of the processing equipment has migrated from one sub-curve to another sub-curve, that is, from one target to another. This method can further and more accurately predict the processing accuracy change characteristics of the processing machine tool in the process of processing the valve body of new energy vehicles.

[0072] S106: inputting the required accuracy information in the processing drawing of the new energy vehicle valve body, and performing processing judgment according to the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body and the required accuracy information, and obtaining the processing analysis result;

[0073] Furthermore, in S106 of this method, specifically:

[0074] Determine whether the machining accuracy variation characteristics of the machining machine tool during the machining of the valve body of the new energy vehicle are greater than the required accuracy information;

[0075] When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information, the corresponding machining machine tool is used as the machining machine tool that can normally machine the current new energy vehicle valve body;

[0076] When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is not greater than the required accuracy information, the corresponding machining machine tool is regarded as a machining machine tool that cannot normally machine the current new energy vehicle valve body;

[0077] A processing analysis result is generated based on a processing machine tool that can normally process the current new energy vehicle valve body and a processing machine tool that cannot normally process the current new energy vehicle valve body, and the processing analysis result is output.

[0078] It should be noted that the machining accuracy change characteristics of the machine tool during the processing of the new energy vehicle valve body include data such as roughness machining accuracy, contour machining accuracy, size machining accuracy, and cylindricity machining accuracy.

[0079] S108: Introduce a genetic algorithm to allocate cutting and forming processing to processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body.

[0080] like Figure 2 As shown, further, in step S108 of this method, specifically:

[0081] S202: introducing a genetic algorithm, setting a genetic algebra based on the genetic algorithm, randomly selecting a processing machine tool according to a processing analysis result, and constructing a processing machine tool combination for a new energy vehicle valve body;

[0082] S204: Determine whether the combination of machining machine tools for the new energy vehicle valve body is a machining machine tool that can normally machine the current new energy vehicle valve body;

[0083] S206: When all the processing machines in the processing machine tool combination for the new energy vehicle valve body are processing machines that can normally process the current new energy vehicle valve body, the processing machine tool combination for the new energy vehicle valve body is output, and the processing machines are assigned to perform cutting and forming processing according to the processing machine tool combination for the new energy vehicle valve body;

[0084] S208: When not all the processing machines in the processing machine tool combination for the new energy vehicle valve body are processing machines that can normally process the current new energy vehicle valve body, inheritance is performed based on genetic algebra to update the processing machine tool combination for the new energy vehicle valve body until all the processing machines in the processing machine tool combination for the new energy vehicle valve body are processing machines that can normally process the current new energy vehicle valve body.

[0085] It should be noted that, through the genetic algorithm of this method, the combination of machine tools for processing the valve body of new energy vehicles can be optimized, thereby improving the rationality of the processing allocation of the valve body of new energy vehicles.

[0086] It should be noted that the present invention monitors the machining accuracy of the machining equipment, and makes a determination based on the machining accuracy of the machining equipment and the required accuracy data in the machining drawings of the new energy vehicle valve body, thereby adjusting the distribution of the machining work based on the determination result.

[0087] In addition, the method may also include: installing an electromagnetic detection sensor in the production area, and obtaining electromagnetic interference characteristic data of each processing equipment in the production area within a preset range through the electromagnetic detection sensor, and judging whether the electromagnetic interference characteristic data of each processing equipment in the production area within the preset range is greater than the electromagnetic interference characteristic data threshold; when the electromagnetic interference characteristic data of each processing equipment in the production area within the preset range is greater than the electromagnetic interference characteristic data threshold, obtaining the regional position where the electromagnetic interference characteristic data is greater than the electromagnetic interference characteristic data threshold; obtaining the processing equipment corresponding to the regional position, and judging whether there is a processing equipment corresponding to the regional position in the processing machine tool combination of the new energy vehicle valve body; when there is a processing equipment corresponding to the regional position in the processing machine tool combination of the new energy vehicle valve body, re-adjusting the processing machine tool equipment in the processing machine tool combination of the new energy vehicle valve body. It should be noted that the electromagnetic interference characteristic data includes the wavelength, frequency, type, etc. of the electromagnetic wave. Since electromagnetic interference will affect the normal operation of the processing production equipment, the electromagnetic interference characteristic data of each processing equipment in the production area within the preset range is collected in real time, so as to determine the processing equipment affected by the interference. The rationality of processing allocation can be further improved through this method.

[0088] In addition, the method may further include: installing a camera device in a target area, constructing a camera acquisition network according to the installation position of the camera device, and initializing the installation position of a data acquisition device of the camera acquisition network; calculating a communication distance value based on the installation position of the camera device and the installation position of the data acquisition device of the camera acquisition network, and calculating data acquisition delay data of the camera acquisition network according to the communication distance value; setting a data acquisition delay data threshold, and judging whether the data acquisition delay data of the camera acquisition network is greater than the data acquisition delay data threshold; when the data acquisition delay data of the camera acquisition network is greater than the data acquisition delay data threshold, readjusting the installation position of the data acquisition device of the camera acquisition network until it is not greater than the data acquisition delay data threshold; acquiring real-time processing image data in the processing process through the camera acquisition network, obtaining processing data information (including contour size, cylindrical size, etc.) of the real-time new energy vehicle valve body according to the processing image data, and obtaining processing drawing information of the new energy vehicle valve body; judging whether the processing data information of the real-time new energy vehicle valve body is within the predetermined processing accuracy error of the processing drawing information of the new energy vehicle valve body, if so, generating a continue processing instruction, and if not, generating a stop processing instruction. It should be noted that this method can realize a camera data acquisition network with high-speed, low-latency, high-performance and high-security data transmission, so that the processing of new energy vehicle valve bodies can be controlled in real time and the rationality of processing control can be improved.

[0089] like Figure 3 As shown, the second aspect of the present invention provides a new energy vehicle valve body cutting and forming processing monitoring system 4 based on processing tracking, including a memory 41 and a processor 42. The memory 41 includes a new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking. When the new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking is executed by the processor 42, any step of the new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking is implemented.

[0090] like Figure 4 As shown, the third aspect of the present invention provides an electronic device, including:

[0091] A processing accuracy change curve construction module 10 is used to obtain historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures, and to construct a processing accuracy change curve of the processing machine tool based on the historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures;

[0092] The processing accuracy variation characteristic analysis module 20 obtains the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body, and predicts the processing accuracy variation characteristics of the processing machine tool during the processing of the new energy vehicle valve body according to the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body;

[0093] The processing judgment module 30 inputs the required accuracy information in the processing drawing of the new energy vehicle valve body, and performs processing judgment according to the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body and the required accuracy information to obtain the processing analysis result;

[0094] The processing work allocation module 40 introduces a genetic algorithm to allocate cutting and forming processing to the processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body.

[0095] Furthermore, in the present device, historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures are obtained, and a processing accuracy change curve of the processing machine tool is constructed based on the historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures, specifically:

[0096] Obtain historical processing accuracy characteristic change data of the processing machine tool at each processing temperature, construct a timestamp, sort the historical processing accuracy characteristic change data of each processing machine tool at each processing temperature according to the order of the timestamps, and obtain the processing accuracy characteristic change data of each processing machine tool based on the time series;

[0097] Constructing a machining accuracy variation model diagram of a machining machine tool, and sequentially inputting machining accuracy data in each time stamp in the machining accuracy characteristic variation data based on a time series of each machining machine tool into the machining accuracy variation model diagram of the machining machine tool;

[0098] When the machining accuracy data in each timestamp is displayed in the machining accuracy change model diagram, adjacent nodes are connected through a smooth curve to generate a machining accuracy change curve of the machining machine tool.

[0099] Furthermore, in this device, the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body is obtained, specifically:

[0100] Obtain the historical temperature characteristic data of the machining machine during the machining of the valve body of new energy vehicles, build a machining temperature data prediction model based on a deep neural network, and introduce an attention mechanism;

[0101] The historical temperature characteristic data set of the machining machine tool in the process of machining the valve body of the new energy vehicle is used as the training set, and the temperature characteristic data in the training set is processed through the attention mechanism to obtain the temperature characteristic graph;

[0102] By performing a SoftMax operation on each temperature feature data in the temperature feature map, a normalized feature map with attention is obtained, and an inner product operation is performed on the normalized feature map with attention and the temperature feature data in the training set;

[0103] Focus on the temperature feature data, generate a temperature attention feature map, input the temperature attention feature map into the hidden layer, and work together with the hidden state in the hidden layer to update the hidden layer state. The predicted processing temperature data of the processing machine tool in the process of processing the valve body of new energy vehicles is obtained through the processing temperature data prediction model.

[0104] Furthermore, in this device, the machining accuracy change characteristics of the machining machine tool in the process of machining the new energy vehicle valve body are predicted according to the predicted machining temperature data of the machining machine tool in the process of machining the new energy vehicle valve body and the machining accuracy change curve of the machining machine tool, specifically:

[0105] Acquire machining accuracy data of a machining machine tool within a preset time, divide the machining accuracy change curve of the machining machine tool into a plurality of sub-curve graphs, and acquire a plurality of sub-curve graphs of each machining accuracy change curve;

[0106] Draw a machining accuracy curve within a preset time according to the machining accuracy data of the machining machine tool within the preset time, and screen several sub-curves of each machining accuracy change curve based on the predicted machining temperature data of the machining machine tool during the machining of the valve body of the new energy vehicle;

[0107] By screening, several sub-curve graphs that meet the predicted processing temperature data are selected, and the Mahalanobis distance value between each sub-curve graph and the processing accuracy curve graph within a preset time is calculated;

[0108] The sub-curve whose Mahalanobis distance value is greater than the preset Mahalanobis distance value is taken as the migration target curve, and the machining accuracy change characteristics of the migration target curve within the preset time are extracted and output as the machining accuracy change characteristics of the machining machine tool during the process of machining the valve body of the new energy vehicle.

[0109] Furthermore, in this device, processing judgment is performed according to the processing accuracy change characteristics and required accuracy information of the processing machine tool during the processing of the valve body of the new energy vehicle, and the processing analysis results are obtained, specifically:

[0110] Determine whether the machining accuracy variation characteristics of the machining machine tool during the machining of the valve body of the new energy vehicle are greater than the required accuracy information;

[0111] When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information, the corresponding machining machine tool is used as the machining machine tool that can normally machine the current new energy vehicle valve body;

[0112] When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is not greater than the required accuracy information, the corresponding machining machine tool is regarded as a machining machine tool that cannot normally machine the current new energy vehicle valve body;

[0113] A processing analysis result is generated based on a processing machine tool that can normally process the current new energy vehicle valve body and a processing machine tool that cannot normally process the current new energy vehicle valve body, and the processing analysis result is output.

[0114] Furthermore, in this device, a genetic algorithm is introduced to allocate cutting and forming processing to the processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body, specifically:

[0115] Introduce a genetic algorithm, set the genetic algebra based on the genetic algorithm, construct a processing machine tool assembly for the valve body of a new energy vehicle, and randomly select a processing machine tool in the processing machine tool assembly for the valve body of a new energy vehicle according to the processing analysis results;

[0116] Determine whether the processing machine tool components of the new energy vehicle valve body are all processing machine tools that can normally process the current new energy vehicle valve body;

[0117] When all the processing machine tool components of the new energy vehicle valve body are processing machine tools that can normally process the current new energy vehicle valve body, the processing machine tool components of the new energy vehicle valve body are output, and the processing machine tools are assigned for cutting and forming processing according to the processing machine tool components of the new energy vehicle valve body;

[0118] When not all the machining machine tools for the new energy vehicle valve body can normally process the current new energy vehicle valve body, genetic inheritance is performed based on genetic algebra to reselect the machining machine tools in the machining machine tool components for the new energy vehicle valve body until they are all greater than the required accuracy information in the machining drawings of the new energy vehicle valve body.

[0119] The fourth aspect of the present invention provides a computer-readable storage medium, which includes a program for monitoring the cutting and forming processing of a valve body of a new energy vehicle based on processing tracking. When the program for monitoring the cutting and forming processing of a valve body of a new energy vehicle based on processing tracking is executed by a processor, any step of the method for monitoring the cutting and forming processing of a valve body of a new energy vehicle based on processing tracking is implemented.

[0120] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0121] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0122] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0123] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0124] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0125] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking, characterized in that: The following steps are involved: Acquire historical machining accuracy characteristic change data of the machining machine tool at various machining temperatures, and construct a machining accuracy change curve of the machining machine tool based on the historical machining accuracy characteristic change data of the machining machine tool at various machining temperatures; Acquire predicted processing temperature data of a processing machine tool during processing of a valve body of a new energy vehicle, and predict processing accuracy variation characteristics of the processing machine tool during processing of the valve body of a new energy vehicle based on the predicted processing temperature data of the processing machine tool during processing of the valve body of a new energy vehicle; Input the required accuracy information in the processing drawing of the new energy vehicle valve body, and make a processing judgment based on the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body and the required accuracy information to obtain the processing analysis result; Introducing a genetic algorithm to perform cutting and forming processing allocation on processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body; Obtain the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body, specifically: Obtain the historical temperature characteristic data of the machining machine during the machining of the valve body of new energy vehicles, build a machining temperature data prediction model based on a deep neural network, and introduce an attention mechanism; Using a historical temperature characteristic data set of the processing machine tool in the process of processing a valve body of a new energy vehicle as a training set, processing the temperature characteristic data in the training set through the attention mechanism, and obtaining a temperature characteristic graph; By performing a SoftMax operation on each temperature feature data in the temperature feature map, a normalized feature map with attention is obtained, and an inner product operation is performed on the normalized feature map with attention and the temperature feature data in the training set; Focusing attention on the temperature feature data, generating a temperature attention feature map, inputting the temperature attention feature map into the hidden layer, and working in conjunction with the hidden state in the hidden layer to update the hidden layer state, Acquire real-time processing material data, input the real-time processing material data into the processing temperature data prediction model for prediction, and acquire predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body; The processing accuracy change characteristics of the processing machine tool in the process of processing the valve body of the new energy vehicle are predicted according to the predicted processing temperature data of the processing machine tool in the process of processing the valve body of the new energy vehicle and the processing accuracy change curve of the processing machine tool, specifically: Acquire machining accuracy data of a machining machine tool within a preset time, divide the machining accuracy change curve of the machining machine tool into a plurality of sub-curve graphs, and acquire a plurality of sub-curve graphs of each machining accuracy change curve; Draw a machining accuracy curve graph within the preset time according to the machining accuracy data of the machining machine tool within the preset time, and screen several sub-curve graphs of each machining accuracy change curve based on the predicted machining temperature data of the machining machine tool during the machining of the new energy vehicle valve body; By screening, a number of sub-curve graphs that meet the predicted processing temperature data are selected, and the Mahalanobis distance value between each of the sub-curve graphs and the processing accuracy curve graph within the preset time is calculated; The sub-curve whose Mahalanobis distance value is not greater than the preset Mahalanobis distance value is used as the migration target curve, and the machining accuracy change characteristics of the migration target curve within the preset time are extracted and output as the machining accuracy change characteristics of the machining machine tool in the process of machining the valve body of the new energy vehicle; According to the machining accuracy change characteristics and required accuracy information of the machining machine tool in the process of machining the valve body of the new energy vehicle, a machining judgment is made to obtain a machining analysis result, which is specifically: Determine whether the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information; When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information, the corresponding machining machine tool is used as a machining machine tool that can normally machine the current new energy vehicle valve body; When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is not greater than the required accuracy information, the corresponding machining machine tool is regarded as a machining machine tool that cannot normally machine the current new energy vehicle valve body; Generate a processing analysis result based on the processing machine tool that can normally process the current new energy vehicle valve body and the processing machine tool that cannot normally process the current new energy vehicle valve body, and output the processing analysis result; Genetic algorithms are introduced to allocate cutting and forming processing to processing machines based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body, specifically: Genetic algorithms are introduced, genetic algebra is set based on genetic algorithms, and machining machine tools are randomly selected according to machining analysis results to construct a machining machine tool combination for new energy vehicle valve bodies. Determine whether the combination of machining machine tools for the valve body of new energy vehicles are all machining machine tools that can normally process the valve body of the current new energy vehicle; When all the processing machines in the processing machine tool combination for the new energy vehicle valve body are processing machines that can normally process the current new energy vehicle valve body, the processing machine tool combination for the new energy vehicle valve body is output, and the processing machines are assigned for cutting and forming processing according to the processing machine tool combination for the new energy vehicle valve body; When not all the machining machines in the machining machine tool combination for the new energy vehicle valve body are machining machines that can normally machine the current new energy vehicle valve body, inheritance is performed based on genetic algebra to update the machining machine tool combination for the new energy vehicle valve body until all the machining machines in the machining machine tool combination for the new energy vehicle valve body are machining machines that can normally machine the current new energy vehicle valve body.

2. The method for monitoring the cutting and forming process of a valve body of a new energy vehicle based on process tracking according to claim 1 is characterized in that: The historical machining accuracy characteristic change data of the machining machine tool at each machining temperature is obtained, and the machining accuracy change curve of the machining machine tool is constructed based on the historical machining accuracy characteristic change data of the machining machine tool at each machining temperature, specifically: Obtain historical processing accuracy characteristic change data of the processing machine tool at each processing temperature, construct a timestamp, sort the historical processing accuracy characteristic change data of each processing machine tool at each processing temperature according to the order of the timestamps, and obtain the processing accuracy characteristic change data of each processing machine tool based on the time series; Constructing a machining accuracy variation model diagram of a machining machine tool, and sequentially inputting machining accuracy data in each time stamp in the machining accuracy characteristic variation data based on the time series of each machining machine tool into the machining accuracy variation model diagram of the machining machine tool; When the machining accuracy data in each time stamp is displayed in the machining accuracy change model diagram, adjacent nodes are connected through a smooth curve to generate a machining accuracy change curve of the machining machine tool.

3. The new energy vehicle valve body cutting and forming processing monitoring system based on processing tracking is characterized by: It includes a memory and a processor, wherein the memory includes a new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking, and when the new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking is executed by the processor, the steps of the new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking as described in any one of claims 1-2 are implemented.

4. An electronic device, characterized in that: include: A processing accuracy change curve construction module is used to obtain historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures, and to construct a processing accuracy change curve of the processing machine tool based on the historical processing accuracy characteristic change data of the processing machine tool at various processing temperatures; A processing accuracy variation characteristic analysis module is used to obtain the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body, and to predict the processing accuracy variation characteristics of the processing machine tool during the processing of the new energy vehicle valve body according to the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body; A processing judgment module inputs the required accuracy information in the processing drawing of the new energy vehicle valve body, and performs processing judgment according to the processing accuracy change characteristics of the processing machine tool during the processing of the new energy vehicle valve body and the required accuracy information to obtain the processing analysis result; The processing work allocation module introduces a genetic algorithm to allocate cutting and forming processing to the processing machine tools based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body; Obtain the predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body, specifically: Obtain the historical temperature characteristic data of the machining machine during the machining of the valve body of new energy vehicles, build a machining temperature data prediction model based on a deep neural network, and introduce an attention mechanism; Using a historical temperature characteristic data set of the processing machine tool in the process of processing a valve body of a new energy vehicle as a training set, processing the temperature characteristic data in the training set through the attention mechanism, and obtaining a temperature characteristic graph; By performing a SoftMax operation on each temperature feature data in the temperature feature map, a normalized feature map with attention is obtained, and an inner product operation is performed on the normalized feature map with attention and the temperature feature data in the training set; Focusing attention on the temperature feature data, generating a temperature attention feature map, inputting the temperature attention feature map into the hidden layer, and working in conjunction with the hidden state in the hidden layer to update the hidden layer state, Acquire real-time processing material data, input the real-time processing material data into the processing temperature data prediction model for prediction, and acquire predicted processing temperature data of the processing machine tool during the processing of the new energy vehicle valve body; The processing accuracy change characteristics of the processing machine tool in the process of processing the valve body of the new energy vehicle are predicted according to the predicted processing temperature data of the processing machine tool in the process of processing the valve body of the new energy vehicle and the processing accuracy change curve of the processing machine tool, specifically: Acquire machining accuracy data of a machining machine tool within a preset time, divide the machining accuracy change curve of the machining machine tool into a plurality of sub-curve graphs, and acquire a plurality of sub-curve graphs of each machining accuracy change curve; Draw a machining accuracy curve graph within the preset time according to the machining accuracy data of the machining machine tool within the preset time, and screen several sub-curve graphs of each machining accuracy change curve based on the predicted machining temperature data of the machining machine tool during the machining of the new energy vehicle valve body; By screening, a number of sub-curve graphs that meet the predicted processing temperature data are selected, and the Mahalanobis distance value between each of the sub-curve graphs and the processing accuracy curve graph within the preset time is calculated; The sub-curve whose Mahalanobis distance value is not greater than the preset Mahalanobis distance value is used as the migration target curve, and the machining accuracy change characteristics of the migration target curve within the preset time are extracted and output as the machining accuracy change characteristics of the machining machine tool in the process of machining the valve body of the new energy vehicle; According to the machining accuracy change characteristics and required accuracy information of the machining machine tool in the process of machining the valve body of the new energy vehicle, a machining judgment is made to obtain a machining analysis result, which is specifically: Determine whether the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information; When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is greater than the required accuracy information, the corresponding machining machine tool is used as a machining machine tool that can normally machine the current new energy vehicle valve body; When the machining accuracy variation characteristic of the machining machine tool during machining of the new energy vehicle valve body is not greater than the required accuracy information, the corresponding machining machine tool is regarded as a machining machine tool that cannot normally machine the current new energy vehicle valve body; Generate a processing analysis result based on the processing machine tool that can normally process the current new energy vehicle valve body and the processing machine tool that cannot normally process the current new energy vehicle valve body, and output the processing analysis result; Genetic algorithms are introduced to allocate cutting and forming processing to processing machines based on the processing analysis results and the required accuracy information in the processing drawings of the new energy vehicle valve body, specifically: Genetic algorithms are introduced, genetic algebra is set based on genetic algorithms, and machining machine tools are randomly selected according to machining analysis results to construct a machining machine tool combination for new energy vehicle valve bodies. Determine whether the combination of machining machine tools for the valve body of new energy vehicles are all machining machine tools that can normally process the valve body of the current new energy vehicle; When all the processing machines in the processing machine tool combination for the new energy vehicle valve body are processing machines that can normally process the current new energy vehicle valve body, the processing machine tool combination for the new energy vehicle valve body is output, and the processing machines are assigned for cutting and forming processing according to the processing machine tool combination for the new energy vehicle valve body; When not all the machining machines in the machining machine tool combination for the new energy vehicle valve body are machining machines that can normally machine the current new energy vehicle valve body, inheritance is performed based on genetic algebra to update the machining machine tool combination for the new energy vehicle valve body until all the machining machines in the machining machine tool combination for the new energy vehicle valve body are machining machines that can normally machine the current new energy vehicle valve body.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking. When the new energy vehicle valve body cutting and forming processing monitoring method program based on processing tracking is executed by a processor, the steps of the new energy vehicle valve body cutting and forming processing monitoring method based on processing tracking as described in any one of claims 1-2 are implemented.

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