A simulation analysis method and system for the heating and curing process of coated sand

Abstract

The invention discloses a simulation analysis method and system for a coated sand heating and curing process, which belongs to the field of electronic data processing. The invention constructs an image analysis model, imports image data in the coated sand curing process into the image analysis model to perform image anomaly analysis, constructs an environmental analysis model, imports environmental data in the coated sand curing process into the environmental analysis model to perform environmental anomaly analysis, imports acquired image anomaly analysis results and environmental anomaly analysis results into a curing process anomaly analysis strategy to perform curing process anomaly analysis, performs curing process anomaly warning according to the curing process anomaly analysis results, and accurately estimates the curing results of the coated sand in real time by performing real-time comprehensive analysis of the environment and images in the coated sand curing process, so as to provide real-time and accurate warnings of abnormal situations in the coated sand curing process, thereby improving the ability to grasp the coated sand curing process and the pass rate of the coated sand curing process.

Description

Technical Field

[0001] The invention belongs to the field of electronic data processing, and in particular relates to a simulation analysis method and system for a coated sand heating and curing process. Background Art

[0002] The heating and curing process of coated sand refers to the process of heating the coated sand to a certain temperature so that the resin and curing agent can be cross-linked and cured to form a sand mold or sand core with a certain strength and shape. Feeding: Put the coated sand that meets the requirements into the heating furnace. Preheating: Before heating, the coated sand needs to be preheated to gradually increase its temperature to achieve a certain initial expansion and fluidity. Heating and curing: Raise the temperature of the heating furnace to the temperature required for the cross-linking and curing of the resin and curing agent so that the resin and curing agent can react chemically to form a sand mold or sand core. After curing, the sand mold or sand core needs to be cooled to gradually cool down to achieve the final strength and shape. Out of the furnace: After cooling, take out the formed sand mold or sand core from the furnace. During the heating and curing process, factors such as temperature, time, and atmosphere will affect the curing effect. Therefore, these factors need to be strictly controlled to ensure that the coated sand can achieve the best curing effect and product quality;

[0003] Physical simulation simulates the heating and curing process of coated sand by making replicas or models, such as making models of sand cores or sand molds, and then evaluating the performance of coated sand by observing the curing process of the models. This method can intuitively observe the curing process and results of coated sand. Simulation analysis can provide important guidance for the heating and curing process of coated sand, helping manufacturers to better control process parameters, optimize product quality, and improve production efficiency.

[0004] The prior art cannot conduct a real-time comprehensive analysis of the environment and images of the coated sand curing process during the simulation analysis of the coated sand heating and curing process, cannot accurately estimate the coated sand curing results in real time, and thus cannot accurately warn of abnormal conditions in the coated sand curing process in real time, resulting in a reduction in the ability to control the coated sand curing process and the qualified rate of the coated sand curing process. The prior art has the above problems (for example, in the Chinese patents with authorization publication numbers CN109865800B and CN209859138U);

[0005] In order to solve the problems in the background technology, the present application designs a simulation analysis method and system for the heating and curing process of coated sand. Summary of the invention

[0006] In view of the problems in the background technology, the present invention proposes a simulation analysis method and system for the heating and curing process of coated sand.

[0007] To achieve the above object, the present invention provides the following technical solution: a simulation analysis method for the heating and curing process of coated sand, which comprises the following specific steps:

[0008] Acquire image data and environmental data of the coated sand during the curing process through a data acquisition terminal;

[0009] Construct an image analysis model, and import the image data of the coated sand solidification process into the image analysis model to perform image anomaly analysis;

[0010] Construct an environmental analysis model and import the environmental data during the curing process of coated sand into the environmental analysis model to conduct environmental anomaly analysis;

[0011] Importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis;

[0012] According to the abnormal analysis results of the curing process, an abnormal warning of the curing process is issued.

[0013] As a preferred technical solution for a simulation analysis method of the heating and curing process of coated sand, the method of acquiring image data and environmental data of the coated sand during the curing process through a data acquisition terminal includes the following specific steps:

[0014] S11, during the curing process of the coated sand, the image data of the coated sand during the curing process is collected by the image collection module, and the image data is imported into the image extraction module to obtain the number, position, length and width information of the cracks in the cured image, and stored in the first storage module;

[0015] S12, importing the image data into the image extraction module to obtain the pixel value data of each pixel point in the solidified image, and storing it in the second storage module;

[0016] S13. Collect environmental data during the curing process through the environment collection terminal and store it in a third storage component, wherein the environmental data includes temperature data, humidity data, pressure data and other environmental factor data that affect the curing process.

[0017] As a preferred technical solution for a simulation analysis method of the coated sand heating and curing process, the construction of an image analysis model and importing the image data of the coated sand curing process into the image analysis model for image anomaly analysis include the following specific contents:

[0018] S21, obtaining information on the number, position, length and width of cracks in the solidified image at the time of detection, randomly selecting one crack as a suspected central crack, measuring the shortest distance from the suspected central crack to other cracks, adding the measured shortest distances from the suspected central crack to other cracks to obtain the sum of the distances corresponding to the suspected central cracks, setting the suspected central crack corresponding to the minimum distance sum as the central crack, and obtaining the shortest distances from the central crack to other cracks;

[0019] S22, obtaining the length and width data of the crack and importing them into the crack abnormal value calculation formula to calculate the crack abnormal value, wherein the crack abnormal value calculation formula of the i-th crack is: ,in, is the crack length of the i-th crack, is the maximum width of the i-th crack, d is the set crack width safety value, is the set safety value of crack length;

[0020] S23, the calculated crack outlier values ​​of each crack, the center crack value, the shortest distance to other cracks and the side length of the solidification range box are introduced into the crack outlier value calculation formula to calculate the crack outlier value, wherein the crack outlier value calculation formula is: , where z is the side length of the solidification range box, n is the number of cracks, and zi is the shortest distance from the central crack to the i-th crack;

[0021] It should be noted here that it is very necessary to analyze the cracks in the heating and curing process of coated sand by quantitatively analyzing the cracks generated in the curing process;

[0022] As a preferred technical solution for a simulation analysis method of the coated sand heating and curing process, the construction of an image analysis model and importing the image data of the coated sand curing process into the image analysis model for image anomaly analysis also include the following specific contents:

[0023] S24, obtaining pixel value data of each pixel point in the solidification image, and at the same time obtaining the pixel value safety range of the solidification standard image of the coated sand solidification process that is judged to be qualified;

[0024] S25, substituting the pixel value data of each pixel point in the solidified image and the pixel value safety range of the standard image of the coated sand solidification process into the pixel abnormal value calculation formula to calculate the pixel abnormal value, wherein the pixel abnormal value calculation formula is: , where m is the number of pixels in the solidified image, fj is the pixel value of the jth pixel in the solidified image, fm is the value closest to fj in the pixel value safety range of the standard image of the solidified process of coated sand, fmax is the maximum value of the pixel value safety range of the standard image of the solidified process of coated sand, and fmin is the minimum value of the pixel value safety range of the standard image of the solidified process of coated sand;

[0025] S26, obtaining the calculated crack outlier value and pixel outlier value and substituting them into the image outlier value calculation formula to calculate the image outlier value, wherein the image outlier value calculation formula is: ,in, is the percentage of abnormal pixels;

[0026] As a preferred technical solution for a simulation analysis method of the coated sand heating and curing process, the construction of an environmental analysis model and importing environmental data of the coated sand curing process into the environmental analysis model for environmental anomaly analysis include the following specific contents:

[0027] The environmental data during the curing process of the coated sand is obtained, and the environmental data during the curing process of the coated sand is imported into the environmental anomaly coefficient calculation formula to calculate the environmental anomaly coefficient, wherein the environmental anomaly coefficient calculation formula is: , where exp() is the power of e, N is the type of environmental data, pc is the value of the c-th environmental data, pcm is the median of the safety range of the c-th environmental data, pcmax is the maximum value of the safety range of the c-th environmental data, pcmin is the minimum value of the safety range of the c-th environmental data, and sc is the proportion coefficient of the c-th environmental data.

[0028] As a preferred technical solution for a simulation analysis method of the heating and curing process of coated sand, the specific steps of importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy for curing process anomaly analysis are as follows:

[0029] The image abnormality value and the environmental abnormality coefficient obtained by calculation are imported into the curing process abnormality analysis value calculation formula to calculate the curing process abnormality analysis value, wherein the curing process abnormality analysis value calculation formula is: , where T is the total duration of the curing process, and t is the time from the test moment in the curing process to the start of the curing process.

[0030] In this way, the curing result after curing is estimated by the abnormalities of the heating and curing process of the coated sand and the abnormal environment at the time of testing, which improves the ability to grasp the curing result and further improves the curing effect;

[0031] As a preferred technical solution for a simulation analysis method of the heating and curing process of coated sand, the specific steps of providing an abnormal warning of the curing process according to the abnormal analysis results of the curing process are as follows:

[0032] Obtain the calculated abnormal analysis value of the curing process, and compare the abnormal analysis value of the curing process with the set abnormal analysis threshold of the curing process. If the obtained abnormal analysis value of the curing process is greater than or equal to the set abnormal analysis threshold of the curing process, it means that the heating and curing process of the coated sand will fail, and a curing process abnormal warning will be issued to the management personnel. If the obtained abnormal analysis value of the curing process is less than the set abnormal analysis threshold of the curing process, it means that the heating and curing process of the coated sand will be successful, and no abnormal warning of the curing process will be issued to the management personnel.

[0033] A simulation analysis system for the heating and curing process of coated sand is implemented based on the above-mentioned simulation analysis method for the heating and curing process of coated sand, and specifically includes:

[0034] A data acquisition module is used to acquire image data during the curing process of the coated sand and environmental data during the curing process through a data acquisition terminal;

[0035] An image anomaly analysis module is used to construct an image analysis model and import the image data of the coated sand curing process into the image analysis model for image anomaly analysis;

[0036] Environmental anomaly analysis module, used to build an environmental analysis model, import the environmental data during the curing process of coated sand into the environmental analysis model for environmental anomaly analysis;

[0037] A curing process anomaly analysis module, used for importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis;

[0038] The curing process abnormality warning module is used to issue a curing process abnormality warning based on the curing process abnormality analysis results;

[0039] The control module is used to control the operation of the data acquisition module, the image anomaly analysis module, the environmental anomaly analysis module, the curing process anomaly analysis module and the curing process anomaly warning module.

[0040] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0041] The processor executes the above-mentioned simulation analysis method for the heating and curing process of coated sand by calling the computer program stored in the memory.

[0042] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute a simulation analysis method for a coated sand heating and curing process as described above.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention acquires image data and environmental data during the curing process of coated sand through a data acquisition terminal, constructs an image analysis model, imports the image data during the curing process of coated sand into the image analysis model for image abnormality analysis, constructs an environmental analysis model, imports the environmental data during the curing process of coated sand into the environmental analysis model for environmental abnormality analysis, imports the acquired image abnormality analysis results and environmental abnormality analysis results into the curing process abnormality analysis strategy for curing process abnormality analysis, and performs curing process abnormality warning according to the curing process abnormality analysis results. By performing real-time comprehensive analysis of the environment and images during the curing process of coated sand, the curing results of coated sand are accurately estimated in real time, so as to give real-time and accurate warning of abnormal situations in the curing process of coated sand, thereby improving the ability to grasp the curing process of coated sand and the pass rate of the curing process of coated sand. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application 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 embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0046] Figure 1 It is a schematic diagram of the overall process of a simulation analysis method for the heating and curing process of coated sand according to the present invention;

[0047] Figure 2 It is a schematic flow chart of the steps of obtaining image data and environmental data of the coated sand during the curing process by a data acquisition terminal in a simulation analysis method for the coated sand heating and curing process of the present invention;

[0048] Figure 3 It is a schematic flow chart of the steps of constructing an image analysis model in a simulation analysis method for a coated sand heating and curing process according to the present invention;

[0049] Figure 4 The present invention is a schematic diagram of the overall framework of a simulation analysis system for the heating and curing process of coated sand. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0051] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0052] Example 1. Please refer to Figure 1-Figure 3 , an embodiment provided by the present invention: the technical problem solved by this embodiment is: the prior art cannot perform a real-time comprehensive analysis of the environment and images of the coated sand curing process during the simulation analysis of the coated sand heating and curing process, cannot accurately estimate the coated sand curing result in real time, and thus cannot accurately warn of abnormal conditions in the coated sand curing process in real time, resulting in a reduction in the ability to control the coated sand curing process and the qualified rate of the coated sand curing process;

[0053] A simulation analysis method for the heating and curing process of coated sand includes the following specific steps:

[0054] Acquire image data and environmental data of the coated sand during the curing process through a data acquisition terminal;

[0055] Construct an image analysis model, and import the image data of the coated sand solidification process into the image analysis model to perform image anomaly analysis;

[0056] Construct an environmental analysis model and import the environmental data during the curing process of coated sand into the environmental analysis model to conduct environmental anomaly analysis;

[0057] Importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis;

[0058] Provide abnormal warning of the curing process based on the abnormal analysis results of the curing process;

[0059] In this embodiment, it should be specifically explained that obtaining the image data of the coated sand during the curing process and the environmental data during the curing process through the data acquisition terminal includes the following specific steps:

[0060] S11, during the curing process of the coated sand, the image data of the coated sand during the curing process is collected by the image collection module, and the image data is imported into the image extraction module to obtain the number, position, length and width information of the cracks in the cured image, and stored in the first storage module;

[0061] Image processing crack detection is a technology that uses image processing technology to identify and analyze cracks in images. This technology is widely used in fields such as construction, roads, materials science, geology, and industrial manufacturing to detect and evaluate the existence, location, length, and width of cracks. It is a conventional technical means in this field and will not be elaborated in detail here. The following are the steps for image processing crack detection:

[0062] 1. Image acquisition: Use cameras, drones or other imaging devices to obtain images of the objects to be detected;

[0063] 2. Image preprocessing: including image denoising, contrast enhancement, grayscale conversion, binarization, etc., to facilitate subsequent crack detection;

[0064] 3. Crack detection: Use various image processing algorithms and techniques to identify cracks in the image. This may include edge detection, morphological operations, region growing, connected component analysis, etc.

[0065] 4. Feature extraction: Extract features from detected cracks, such as the location, length, width, direction, shape, etc. of the cracks;

[0066] 5. Crack identification and classification: Classify the extracted features using methods such as machine learning or artificial neural networks to distinguish different types of cracks or distinguish them from non-crack areas;

[0067] In practical applications, image processing crack detection needs to be customized according to specific circumstances, and appropriate algorithms and techniques should be selected to meet specific detection requirements;

[0068] S12, importing the image data into the image extraction module to obtain the pixel value data of each pixel point in the solidified image, and storing it in the second storage module;

[0069] S13, collecting environmental data during the curing process through the environment collection terminal, and storing it in a third storage component, wherein the environmental data includes temperature data, humidity data, pressure data and other environmental factor data that affect the curing process;

[0070] The following is a C language sample code to implement this function:

[0071] #include<stdio.h>

[0072] #include<stdlib.h>

[0073] / / Define a structure to store environment data

[0074] typedef struct {

[0075] float temperature; / / temperature

[0076] float humidity; / / humidity

[0077] float pressure; / / pressure

[0078] } EnvironmentData;

[0079] / / Function declaration

[0080] void collect_environment_data(EnvironmentData *data);

[0081] void store_data_to_component(EnvironmentData data);

[0082] int main() {

[0083] EnvironmentData env_data;

[0084] / / Collect environmental data

[0085] collect_environment_data(&env_data);

[0086] / / Store data in the third storage component

[0087] store_data_to_component(env_data);

[0088] return 0;

[0089] }

[0090] / / Function implementation for collecting environmental data

[0091] void collect_environment_data(EnvironmentData *data) {

[0092] printf("Please enter temperature data:");

[0093] scanf("%f",&data->temperature);

[0094] printf("Please enter humidity data:");

[0095] scanf("%f",&data->humidity);

[0096] printf("Please enter pressure data:");

[0097] scanf("%f",&data->pressure);

[0098] }

[0099] / / Function implementation to store data in the third storage component

[0100] void store_data_to_component(EnvironmentData data) {

[0101] / / This is just a simple print out. In actual application, it should be stored in a third-party storage component

[0102] printf("Storage environment data: temperature = %.2f, humidity = %.2f, pressure = %.2f\n",data.temperature, data.humidity, data.pressure);

[0103] / / The actual code should have logic to write data to a file or send it to a server

[0104] }

[0105] The `EnvironmentData` structure in this code is used to store three environmental data: temperature, humidity, and pressure. The `collect_environment_data` function is used to obtain this data from the user, and the `store_data_to_component` function is responsible for printing this data;

[0106] This sample code is based on console input and output. In actual applications, it is necessary to obtain these data through sensors, and store these data in files, databases, or send them to servers through the network.

[0107] In this embodiment, it should be specifically explained that constructing an image analysis model and importing image data of the coated sand curing process into the image analysis model for image anomaly analysis includes the following specific contents:

[0108] S21, obtaining information on the number, position, length and width of cracks in the solidified image at the time of detection, randomly selecting one crack as a suspected central crack, measuring the shortest distance from the suspected central crack to other cracks, adding the measured shortest distances from the suspected central crack to other cracks to obtain the sum of the distances of the corresponding suspected central cracks, setting the suspected central crack corresponding to the minimum distance as the central crack, obtaining the shortest distance from the central crack to other cracks, and thus finding the central crack with the minimum length from other cracks, thereby analyzing the degree of crack aggregation, and thus better analyzing the impact of the cracks;

[0109] S22, obtaining the length and width data of the crack and importing them into the crack abnormal value calculation formula to calculate the crack abnormal value, wherein the crack abnormal value calculation formula of the i-th crack is: ,in, is the crack length of the i-th crack, is the maximum width of the i-th crack, d is the set crack width safety value, is the set safety value of crack length;

[0110] S23, the calculated crack outlier values ​​of each crack, the center crack value, the shortest distance to other cracks and the side length of the solidification range box are introduced into the crack outlier value calculation formula to calculate the crack outlier value, wherein the crack outlier value calculation formula is: , where z is the side length of the solidification range box, n is the number of cracks, and zi is the shortest distance from the central crack to the i-th crack;

[0111] It should be noted here that it is very necessary to conduct a quantitative analysis of the cracks generated during the curing process. The reasons are as follows:

[0112] Cracks will affect the overall performance of coated sand products, which may reduce the service life of the product or cause product failure. If the cracks are caused by impure materials or improper processes, there may be safety hazards or environmental impacts. By analyzing the causes of cracks, measures can be taken to avoid these problems and ensure the safety and environmental protection of the production process.

[0113] In this embodiment, it should be specifically explained that constructing an image analysis model and importing image data of the coated sand curing process into the image analysis model for image anomaly analysis also includes the following specific contents:

[0114] S24, obtaining pixel value data of each pixel point in the solidification image, and at the same time obtaining the pixel value safety range of the solidification standard image of the coated sand solidification process that is judged to be qualified;

[0115] S25, substituting the pixel value data of each pixel point in the solidified image and the pixel value safety range of the standard image of the coated sand solidification process into the pixel abnormal value calculation formula to calculate the pixel abnormal value, wherein the pixel abnormal value calculation formula is: , where m is the number of pixels in the solidified image, fj is the pixel value of the jth pixel in the solidified image, fm is the value closest to fj in the pixel value safety range of the standard image of the solidified process of coated sand, fmax is the maximum value of the pixel value safety range of the standard image of the solidified process of coated sand, and fmin is the minimum value of the pixel value safety range of the standard image of the solidified process of coated sand;

[0116] S26, obtaining the calculated crack outlier value and pixel outlier value and substituting them into the image outlier value calculation formula to calculate the image outlier value, wherein the image outlier value calculation formula is: ,in, is the percentage of abnormal pixels;

[0117] The benefits of this step are explained in detail here. In this way, pixel analysis is performed on the solidification image to obtain pixel abnormal values. Through image pixel analysis, the solidification process of the coated sand can be monitored without destroying the sample, which helps to reduce sample waste. Image analysis can provide real-time solidification progress data, making parameter adjustments in the production process more timely and accurate.

[0118] It should be specifically explained in this embodiment that the construction of the environmental analysis model and the importation of environmental data during the curing process of the coated sand into the environmental analysis model for environmental anomaly analysis include the following specific contents:

[0119] The environmental data during the curing process of the coated sand is obtained, and the environmental data during the curing process of the coated sand is imported into the environmental anomaly coefficient calculation formula to calculate the environmental anomaly coefficient, wherein the environmental anomaly coefficient calculation formula is: , where exp() is the power of e, N is the type of environmental data, pc is the value of the c-th environmental data, pcm is the median of the safety range of the c-th environmental data, pcmax is the maximum value of the safety range of the c-th environmental data, pcmin is the minimum value of the safety range of the c-th environmental data, and sc is the proportion coefficient of the c-th environmental data.

[0120] It should be noted that environmental factors such as temperature, humidity and atmosphere will affect the curing process of coated sand, thus affecting the final performance of the product. Through environmental analysis, it can be ensured that the coated sand is cured in a suitable environment, thereby ensuring the quality of the product. Environmental analysis can help producers understand the key environmental factors that affect the curing process, thereby optimizing the production process and improving production efficiency and product quality.

[0121] Environmental analysis of the coated sand heating and curing process is of great significance for ensuring product quality, optimizing the production process, reducing costs, meeting specific application requirements and improving safety.

[0122] In this embodiment, it should be specifically explained that the specific steps of importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis are as follows:

[0123] The image abnormality value and the environmental abnormality coefficient obtained by calculation are imported into the curing process abnormality analysis value calculation formula to calculate the curing process abnormality analysis value, wherein the curing process abnormality analysis value calculation formula is: , where T is the total duration of the curing process, and t is the time from the test moment in the curing process to the start of the curing process.

[0124] In this way, the curing result after curing is estimated by the abnormalities of the heating and curing process of the coated sand and the abnormal environment at the time of testing, which improves the ability to grasp the curing result and further improves the curing effect;

[0125] In this embodiment, it should be specifically explained that the specific steps of performing an abnormal warning of the curing process according to the abnormal analysis result of the curing process are as follows:

[0126] Obtain the calculated abnormal analysis value of the curing process, and compare the abnormal analysis value of the curing process with the set abnormal analysis threshold of the curing process. If the obtained abnormal analysis value of the curing process is greater than or equal to the set abnormal analysis threshold of the curing process, it means that the heating and curing process of the coated sand will fail, and a curing process abnormal warning will be issued to the management personnel. If the obtained abnormal analysis value of the curing process is less than the set abnormal analysis threshold of the curing process, it means that the heating and curing process of the coated sand will be successful, and no abnormal warning of the curing process will be issued to the management personnel.

[0127] What needs to be specifically explained in this embodiment is that the setting crack width safety value, the setting crack length safety value, the pixel abnormality ratio, the ratio coefficient of the cth type of environmental data and the curing process abnormality analysis threshold are taken as follows: at least five thousand sets of image data during the curing process of the historical coated sand and the environmental data during the curing process are obtained, and whether the curing result is qualified after the curing is completed is extracted and judged, and the image data during the curing process of the historical coated sand and the environmental data during the curing process are substituted into the curing process abnormality analysis value calculation formula to calculate the curing process abnormality analysis value, and the calculated curing process abnormality analysis value and the judgment result of whether the curing result is qualified after the curing is completed are imported into the fitting software, and the crack width safety value, the setting crack length safety value, the pixel abnormality ratio, the ratio coefficient of the cth type of environmental data and the curing process abnormality analysis threshold that meet the highest judgment accuracy are output;

[0128] What needs to be specifically explained in this embodiment is that the advantages of this embodiment over the prior art are: obtaining image data of the coated sand during the curing process and environmental data during the curing process through the data acquisition terminal, constructing an image analysis model, importing the image data of the coated sand during the curing process into the image analysis model for image abnormality analysis, constructing an environmental analysis model, importing the environmental data of the coated sand during the curing process into the environmental analysis model for environmental abnormality analysis, importing the acquired image abnormality analysis results and environmental abnormality analysis results into the curing process abnormality analysis strategy for curing process abnormality analysis, and performing curing process abnormality warning according to the curing process abnormality analysis results. By performing real-time comprehensive analysis of the environment and images of the coated sand curing process, the coated sand curing results are accurately estimated in real time, so as to provide real-time and accurate warning of abnormal situations in the coated sand curing process, thereby improving the ability to grasp the coated sand curing process and the pass rate of the coated sand curing process.

[0129] Example 2. Figure 4 As shown, a simulation analysis system for the heating and curing process of coated sand is implemented based on the above-mentioned simulation analysis method for the heating and curing process of coated sand, and specifically includes: a data acquisition module, which is used to obtain image data during the curing process of coated sand and environmental data during the curing process through a data acquisition terminal;

[0130] An image anomaly analysis module is used to construct an image analysis model and import the image data of the coated sand curing process into the image analysis model for image anomaly analysis;

[0131] Environmental anomaly analysis module, used to build an environmental analysis model, import the environmental data during the curing process of coated sand into the environmental analysis model for environmental anomaly analysis;

[0132] A curing process anomaly analysis module, used for importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis;

[0133] The curing process abnormality warning module is used to issue a curing process abnormality warning based on the curing process abnormality analysis results;

[0134] The control module is used to control the operation of the data acquisition module, the image anomaly analysis module, the environmental anomaly analysis module, the curing process anomaly analysis module and the curing process anomaly warning module.

[0135] Embodiment 3. This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0136] The processor executes the above-mentioned simulation analysis method for the heating and curing process of coated sand by calling the computer program stored in the memory.

[0137] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement a simulation analysis method for the heating and curing process of coated sand provided in the above method embodiment.

[0138] It should be noted that the computer programs corresponding to all steps of a simulation analysis method for the heating and curing process of coated sand can be implemented using C language. At the same time, the data acquisition module, image anomaly analysis module, environmental anomaly analysis module, curing process anomaly analysis module, control module and curing process anomaly warning module are all controlled by a remote server.

[0139] Embodiment 4. This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0140] When the computer program is executed on a computer device, the computer device is enabled to execute the above-mentioned simulation analysis method for the heating and curing process of coated sand.

[0141] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0142] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A simulation analysis method for the heating and curing process of coated sand, characterized in that: It includes the following specific steps: Acquire image data and environmental data of the coated sand during the curing process through a data acquisition terminal; Construct an image analysis model, and import the image data of the coated sand solidification process into the image analysis model to perform image anomaly analysis; Construct an environmental analysis model and import the environmental data during the curing process of coated sand into the environmental analysis model to conduct environmental anomaly analysis; Importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis; Provide abnormal warning of the curing process based on the abnormal analysis results of the curing process; The method of acquiring the image data of the coated sand during the curing process and the environmental data during the curing process by the data acquisition terminal comprises the following specific steps: S11, during the curing process of the coated sand, the image data of the coated sand during the curing process is collected by the image collection module, and the image data is imported into the image extraction module to obtain the number, position, length and width information of the cracks in the cured image, and stored in the first storage module; S12, importing the image data into the image extraction module to obtain the pixel value data of each pixel point in the solidified image, and storing it in the second storage module; S13, collecting environmental data during the curing process through the environment collection terminal, and storing it in a third storage component; The construction of the image analysis model and the importation of the image data of the coated sand curing process into the image analysis model for image anomaly analysis include the following specific contents: S21, obtaining information on the number, position, length and width of cracks in the solidified image at the time of detection, randomly selecting one crack as a suspected central crack, measuring the shortest distance from the suspected central crack to other cracks, adding the measured shortest distances from the suspected central crack to other cracks to obtain the sum of the distances corresponding to the suspected central cracks, setting the suspected central crack corresponding to the minimum distance sum as the central crack, and obtaining the shortest distances from the central crack to other cracks; S22, obtaining the length and width data of the crack and importing them into the crack abnormal value calculation formula to calculate the crack abnormal value, wherein the crack abnormal value calculation formula of the i-th crack is: ,in, is the crack length of the i-th crack, is the maximum width of the i-th crack, d is the set crack width safety value, is the set safety value of crack length; S23, the calculated crack outlier values ​​of each crack, the center crack value, the shortest distance to other cracks and the side length of the solidification range box are introduced into the crack outlier value calculation formula to calculate the crack outlier value, wherein the crack outlier value calculation formula is: , where z is the side length of the solidification range box, n is the number of cracks, and zi is the shortest distance from the central crack to the i-th crack; The construction of the image analysis model and importing the image data of the coated sand curing process into the image analysis model for image anomaly analysis also includes the following specific contents: S24, obtaining pixel value data of each pixel point in the solidification image, and at the same time obtaining the pixel value safety range of the solidification standard image of the coated sand solidification process that is judged to be qualified; S25, substituting the pixel value data of each pixel point in the solidified image and the pixel value safety range of the standard image of the coated sand solidification process into the pixel abnormal value calculation formula to calculate the pixel abnormal value, wherein the pixel abnormal value calculation formula is: , where m is the number of pixels in the solidified image, fj is the pixel value of the jth pixel in the solidified image, fm is the value closest to fj in the pixel value safety range of the standard image of the solidified process of coated sand, fmax is the maximum value of the pixel value safety range of the standard image of the solidified process of coated sand, and fmin is the minimum value of the pixel value safety range of the standard image of the solidified process of coated sand; S26, obtaining the calculated crack outlier value and pixel outlier value and substituting them into the image outlier value calculation formula to calculate the image outlier value, wherein the image outlier value calculation formula is: ,in, is the percentage of abnormal pixels; The construction of the environmental analysis model and the importation of environmental data during the curing process of the coated sand into the environmental analysis model for environmental anomaly analysis include the following specific contents: The environmental data during the curing process of the coated sand is obtained, and the environmental data during the curing process of the coated sand is imported into the environmental anomaly coefficient calculation formula to calculate the environmental anomaly coefficient, wherein the environmental anomaly coefficient calculation formula is: , where exp() is the power of e, N is the type of environmental data, pc is the value of the c-th environmental data, pcm is the median of the safety range of the c-th environmental data, pcmax is the maximum value of the safety range of the c-th environmental data, pcmin is the minimum value of the safety range of the c-th environmental data, and sc is the proportion coefficient of the c-th environmental data; The specific steps of importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis are as follows: The image abnormality value and the environmental abnormality coefficient obtained by calculation are imported into the curing process abnormality analysis value calculation formula to calculate the curing process abnormality analysis value, wherein the curing process abnormality analysis value calculation formula is: , where T is the total duration of the curing process, and t is the time from the test moment in the curing process to the start of the curing process.

2. A simulation analysis method for the heating and curing process of coated sand according to claim 1, characterized in that: The specific steps of performing abnormal warning of the curing process according to the abnormal analysis result of the curing process are as follows: Obtain the calculated abnormal analysis value of the curing process, and compare the abnormal analysis value of the curing process with the set abnormal analysis threshold of the curing process. If the obtained abnormal analysis value of the curing process is greater than or equal to the set abnormal analysis threshold of the curing process, it means that the heating and curing process of the coated sand will fail, and a curing process abnormal warning will be issued to the management personnel. If the obtained abnormal analysis value of the curing process is less than the set abnormal analysis threshold of the curing process, it means that the heating and curing process of the coated sand will be successful, and no abnormal warning of the curing process will be issued to the management personnel.

3. A simulation analysis system for the heating and curing process of coated sand, which is implemented based on the simulation analysis method for the heating and curing process of coated sand according to any one of claims 1 to 2, characterized in that: Specifically include: A data acquisition module is used to acquire image data during the curing process of the coated sand and environmental data during the curing process through a data acquisition terminal; An image anomaly analysis module is used to construct an image analysis model and import the image data of the coated sand curing process into the image analysis model for image anomaly analysis; Environmental anomaly analysis module, used to build an environmental analysis model, import the environmental data during the curing process of coated sand into the environmental analysis model for environmental anomaly analysis; A curing process anomaly analysis module, used for importing the acquired image anomaly analysis results and environmental anomaly analysis results into the curing process anomaly analysis strategy to perform curing process anomaly analysis; The curing process abnormality warning module is used to issue a curing process abnormality warning based on the curing process abnormality analysis results; The control module is used to control the operation of the data acquisition module, the image anomaly analysis module, the environmental anomaly analysis module, the curing process anomaly analysis module and the curing process anomaly warning module.

4. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the simulation analysis method for the heating and curing process of coated sand as described in any one of claims 1-2 by calling the computer program stored in the memory.

5. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute a simulation analysis method for a coated sand heating and curing process as described in any one of claims 1 to 2.

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