Mould control equipment operation state monitoring method and system

Abstract

The invention relates to the field of hydraulic control, in particular to a mold control equipment running state monitoring method and system. The method comprises the steps that the vibration acceleration of two hydraulic cylinders in the mold control equipment is collected, and the two hydraulic cylinders cooperate with each other to form a load sharing system; and the stability degree # imgabs0 # of each dimension of each hydraulic cylinder in the two hydraulic cylinders is calculated, the comprehensive abnormal degree Ak is calculated according to the stability degree # imgabs1 #, and the operation state of the mold control equipment is judged according to the comprehensive abnormal degree Ak. The problem that the operation state of the mold control equipment cannot be accurately monitored in real time is effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of hydraulic control, and more specifically, to a method and system for monitoring the operating status of a mold control device. Background Art

[0002] When using gravity casting to produce aluminum alloy parts, the casting mold needs to be accurately controlled to ensure the dimensional accuracy and surface quality of the parts. The mold control equipment usually controls the mold through a hydraulic cylinder to achieve the opening and closing of the mold. However, for a long time, the detection technology of the operating status of the hydraulic cylinder has faced many challenges. Traditional detection devices are often complex in structure and cumbersome to install. They not only take up a lot of space, but also increase the maintenance burden and limit the overall layout and operational flexibility of the hydraulic system. These devices often have low integration and cannot adapt to complex and changeable working conditions. Especially in extreme temperature and humidity and strong vibration environments, the detection accuracy is seriously reduced, resulting in frequent false alarms and misreporting, affecting production efficiency and safety.

[0003] At present, the patent application document with the publication number CN118622798A and the name of "Hydraulic Cylinder and Hydraulic Cylinder Operating Status Detection Method" discloses a method of high-precision monitoring of the piston position through the design of a built-in radar position sensor and a signal transmission hole. The signal transmission hole constructs a direct communication path with the rodless cavity, ensuring the fast and accurate transmission of the signal. The wave velocity measuring component is arranged in the signal transmission hole as a known distance reference. Combined with the sensor data, it not only captures the round-trip time of the sound wave, but also more accurately calculates the piston displacement, significantly enhances the positioning accuracy, and makes the dynamic monitoring of the hydraulic cylinder more reliable. Thereby achieving efficient and accurate evaluation of the operating status of the hydraulic cylinder and environmental anti-interference monitoring.

[0004] However, radar cannot quickly respond to the dynamic changes of the hydraulic cylinder, and cannot accurately monitor the operating status in real time, so it is also impossible to accurately monitor the operating status of the mold control equipment in real time. Summary of the invention

[0005] In order to solve the above-mentioned problem of being unable to accurately monitor the operating status of the mold control equipment in real time, the present invention provides solutions in the following aspects.

[0006] In a first aspect, the present invention provides a method for monitoring the operating status of a mold control device, comprising: collecting the vibration acceleration of two hydraulic cylinders in the mold control device, the two hydraulic cylinders cooperate with each other to form a load sharing system; calculating the stability of each dimension of each hydraulic cylinder in the two hydraulic cylinders , where i is the i-th hydraulic cylinder, j is the j-th dimension, j = 1, 2 and 3, and k is the k-th second. and are the average vibration acceleration of the jth dimension of the i-th hydraulic cylinder in the kth second and the k-1th second, and are the maximum and minimum values ​​of the vibration acceleration of the jth dimension of the i-th hydraulic cylinder in the kth second, respectively. exp() is an exponential function with the natural constant e as the base. Calculate the comprehensive abnormality degree A k , according to the comprehensive abnormality degree A k The size of the mold control equipment is used to determine the operating status of the mold control equipment, and the comprehensive abnormality degree ,in, is the three-dimensional vector of the stability of the first hydraulic cylinder in three dimensions at the kth second, is a three-dimensional vector consisting of the stability of the second hydraulic cylinder in three dimensions at the kth second, Cosine() is the cosine similarity function, and exp() is an exponential function with the natural constant e as the base.

[0007] By analyzing the operating status of the two hydraulic cylinders that work together, the operating status of the mold control equipment can be analyzed more conveniently and accurately. Calculating the comprehensive abnormality level can comprehensively consider the stability of multiple dimensions and provide a more accurate status assessment. Therefore, the operating status of the equipment can be judged in time to improve operational safety, reduce the probability of accidents, and effectively improve the operating reliability and safety of the mold control equipment. At the same time, it also provides data support for subsequent fault prediction and maintenance decisions.

[0008] Preferably, after collecting the vibration acceleration, the method further comprises: performing missing completion processing on the vibration acceleration.

[0009] Preferably, the comprehensive abnormality degree A k The size of the mold control device is used to judge the operating state of the mold control device, including: when the comprehensive abnormality degree A k When the comprehensive abnormality level A is less than the first threshold, the mold control device is in good operating condition; k When the comprehensive abnormality level A is greater than or equal to the first threshold and less than the second threshold, the mold control device is in normal operation; k When it is greater than or equal to the second threshold, the operating state of the mold control device is poor.

[0010] By setting clear thresholds, the operating status of the equipment can be clearly divided into good, general and poor, which facilitates rapid identification of the health status of the equipment, effectively prevents safety hazards caused by equipment failures, and ensures safe operation.

[0011] Preferably, according to the comprehensive abnormality degree A k The size of the mold control device is used to determine the operating status of the mold control device, and also includes: collecting multiple historical comprehensive abnormality levels and the comprehensive abnormality level A kTogether they constitute a data set; perform K-means clustering on the data set, with K=3; calculate the average value of each cluster. If the comprehensive abnormality level A k The cluster with the smallest average value indicates that the mold control equipment is in good operating condition. k If it belongs to the cluster with the largest average value, the operation status of the mold control equipment is poor; otherwise, the operation status of the mold control equipment is average.

[0012] By collecting multiple historical comprehensive abnormality levels and combining them with the current comprehensive abnormality level for cluster analysis, we can better adapt to the actual operating status of the equipment. K-means clustering uses the distribution characteristics of historical data to determine the equipment status, making the judgment more scientific and objective, and reducing the subjectivity of human judgment. By comparing the current comprehensive abnormality level with the clustering results, it can more sensitively detect potential abnormal states and improve the accuracy of fault prediction. Judging based on the average value of the clustering cluster can effectively distinguish similar states and avoid confusing different operating states, thereby improving the accuracy of judgment.

[0013] Preferably, the method further comprises: the mold control device prompts the operating status of the mold control device through the color of a fault prompt light and / or the sound of a fault prompt bell.

[0014] The color of the fault indicator light (such as green, yellow, and red) can quickly convey the equipment status, allowing operators to quickly identify the current operating status without in-depth data analysis. The sound prompt can promptly attract the operator's attention when the equipment is abnormal, ensuring that measures are taken as soon as the fault occurs to reduce potential losses. Combining visual (light) and auditory (ring) dual prompts can enhance the operator's perception of the equipment status and improve reaction speed. This fault prompt mechanism makes the operating status monitoring of mold control equipment more intuitive and efficient, providing an important guarantee for the stable operation of the equipment.

[0015] Preferably, the method for obtaining the first threshold and the second threshold includes: collecting multiple historical comprehensive abnormality levels to form a data set; performing K-means clustering on the data set, K=2; calculating the average value of each cluster cluster, and using the smaller average value as the first threshold and the larger average value as the second threshold.

[0016] By analyzing historical data sets, thresholds can be determined based on actual operating conditions rather than relying on experience or assumptions, which improves the scientificity and rationality of the thresholds. Cluster analysis divides the historical comprehensive abnormality levels into two groups, which can more accurately reflect the difference between normal and abnormal conditions and reduce the possibility of misjudgment.

[0017] Preferably, the two hydraulic cylinders are of the same model.

[0018] In a second aspect, the present invention further provides a mold control equipment operation status monitoring system, comprising: a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-mentioned mold control equipment operation status monitoring method.

[0019] The beneficial effects of the present invention are as follows: by analyzing the operating status of the two hydraulic cylinders that cooperate with each other, the operating status of the mold control equipment can be analyzed more conveniently and accurately, and the calculation of the comprehensive abnormality degree can comprehensively consider the stability of multiple dimensions and provide a more accurate status evaluation. Therefore, the operating status of the equipment can be judged in time to improve operational safety, reduce the probability of accidents, and effectively improve the operating reliability and safety of the mold control equipment, while also providing data support for subsequent fault prediction and maintenance decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein: Figure 1 It is a flow chart of a method for monitoring the operating status of a mold control device provided by an embodiment of the present invention; Figure 2 A mold control device provided by an embodiment of the present invention; Figure 3 It is a block diagram of a mold control equipment operation status monitoring system provided by an embodiment of the present invention.

[0021] Figure numerals: 1, hydraulic cylinder No. 1; 2, hydraulic cylinder No. 2. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0023] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0024] Figure 1 The present invention provides a flow chart of a method for monitoring the operating status of a mold control device, which includes the following steps: S101, collecting vibration acceleration of two hydraulic cylinders in a mold control device, wherein the two hydraulic cylinders cooperate with each other to form a load sharing system.

[0025] Hydraulic cylinders are important devices that convert hydraulic energy into mechanical energy and are widely used in industrial automation, mechanical control, and manufacturing. In mold control equipment, hydraulic cylinders are used to perform precise movements and exert force. In order to reduce the pressure and wear of a single hydraulic cylinder, extend its service life, and improve the reliability of the system under high load conditions, some parts of the mold control equipment generally have a load sharing system consisting of two hydraulic cylinders that work together. Figure 2 As shown, hydraulic cylinder No. 1 and hydraulic cylinder No. 2 together form a load sharing system to complete an operation. Generally speaking, the two hydraulic cylinders are of the same model. Vibration acceleration refers to the acceleration change generated by the hydraulic cylinder during operation, which is usually monitored by an acceleration sensor. Collecting vibration acceleration data helps to evaluate the operating status and performance of the hydraulic cylinder, and can reflect the performance of the hydraulic cylinder when the load changes, wear or failure occurs.

[0026] In actual vibration monitoring, the collected vibration acceleration data may be missing due to sensor failure, signal interference or data transmission problems. Incomplete data may lead to misjudgment of the equipment status and inability to accurately evaluate the performance and health of the hydraulic cylinder. Therefore, in some embodiments, after collecting the vibration acceleration, the vibration acceleration is required to be missing and completed. By completing the missing data, the integrity of the data set can be improved and the accuracy of subsequent analysis can be ensured. Generally, the missing values ​​can be inferred based on the existing data points through linear interpolation, spline interpolation and other methods.

[0027] S102: Calculate the stability of each dimension of each hydraulic cylinder in the two hydraulic cylinders.

[0028] The stability of each hydraulic cylinder in each dimension , where i is the i-th hydraulic cylinder, j is the j-th dimension, j = 1, 2 and 3, and k is the k-th second. and are the average vibration acceleration of the jth dimension of the i-th hydraulic cylinder in the kth second and the k-1th second, and are the maximum and minimum values ​​of the vibration acceleration of the j-th dimension of the ith hydraulic cylinder in the k-th second, respectively. exp() is an exponential function with the natural constant e as its base.

[0029] During the operation of the hydraulic cylinder, the vibration acceleration can be measured in multiple dimensions. Generally speaking, the vibration in three-dimensional space can be divided into three dimensions, so the stability of the three dimensions can be calculated. Therefore, j=1, 2 or 3, j=1 is the front-to-back dimension, j=2 is the left-to-right dimension, and j=3 is the up-down dimension. For example, within the kth second and the k-1th second, the acceleration sensor collects a large amount of vibration acceleration data of hydraulic cylinder No. 1. After calculation, it is found that the average vibration acceleration of the front-to-back dimension within the kth second is 0.5m / s 2 The average vibration acceleration in the front and rear dimensions within the k-1 second is 0.8 m / s 2 The maximum vibration acceleration in the front and rear dimensions within the kth second is 0.9 m / s 2 The minimum vibration acceleration in the front and rear dimensions within the kth second is 0.7 m / s 2 , then the stability of hydraulic cylinder 1 in the front and rear dimensions at the kth second is Similarly, the stability of each dimension of each hydraulic cylinder in the two hydraulic cylinders can be calculated in turn.

[0030] S103. Calculate the comprehensive abnormality level A k , according to the comprehensive abnormality degree A k The size of the mold control equipment can be used to determine its operating status.

[0031] The comprehensive abnormality level ,in, is the three-dimensional vector of the stability of the first hydraulic cylinder in three dimensions at the kth second, is a three-dimensional vector consisting of the stability of the second hydraulic cylinder in three dimensions at the kth second, Cosine() is the cosine similarity function, and exp() is an exponential function with the natural constant e as the base.

[0032] Since the two hydraulic cylinders work together to form a load sharing system, when the mold control equipment is working normally, the vibration acceleration of the two hydraulic cylinders should be relatively similar. If the vibration acceleration of the two hydraulic cylinders is quite different, it means that there are some problems with the mold control equipment and the operating status is abnormal.

[0033] In the comprehensive abnormality In the calculation formula, the similarity of the operating states of the two hydraulic cylinders is reflected by comprehensively comparing the stability of the two hydraulic cylinders in different dimensions. The larger the value, the more similar the operating states of the two hydraulic cylinders are, and the more normal the operating state of the mold control equipment is. For example, the stability of hydraulic cylinder 1 in the three dimensions at the kth second is , and , the stability of hydraulic cylinder 2 in the three dimensions at the kth second is , and ,but =( , , ), =( , , ), = =0.997, based on which the comprehensive abnormality degree can be further calculated .

[0034] After the comprehensive abnormality degree is calculated, the comprehensive abnormality degree A k The size of the mold control device is used to determine the operating state of the mold control device, wherein one embodiment includes: when the comprehensive abnormality degree A k When the comprehensive abnormality level A is less than the first threshold, the mold control device is in good operating condition; k When the comprehensive abnormality level A is greater than or equal to the first threshold and less than the second threshold, the mold control device is in normal operation; k When it is greater than or equal to the second threshold, the mold control device is in poor operating condition. The first threshold and the second threshold can be adjusted according to different devices or different working modes of the same device. In some embodiments, the first threshold and the second threshold can also be obtained by using the K-means clustering method. The specific method is: collecting multiple historical comprehensive abnormality levels to form a data set; performing K-means clustering on the data set, K=2; calculating the average value of each cluster cluster, and the smaller average value is used as the first threshold, and the larger average value is used as the second threshold.

[0035] In addition to comparing the comprehensive abnormality degree A k In addition to using the first threshold and the second threshold to determine the operating state of the mold control device, in other embodiments, the operating state of the mold control device can also be determined by K-means clustering, specifically including: collecting multiple historical comprehensive abnormality levels, and comparing the comprehensive abnormality level A k Together they constitute a data set; perform K-means clustering on the data set, with K=3; calculate the average value of each cluster. If the comprehensive abnormality level A k The cluster with the smallest average value indicates that the mold control equipment is in good operating condition. kIf it belongs to the cluster with the largest average value, the mold control equipment is in poor operating condition; otherwise, the mold control equipment is in average operating condition. By using K-means clustering to judge the operating condition of the mold control equipment, the distribution characteristics of historical data are utilized, which can make the judgment more scientific and objective, reduce the subjectivity of human judgment, and by comparing the current comprehensive abnormality level with the clustering results, it can more sensitively detect potential abnormal conditions and improve the accuracy of fault prediction. It should be noted that the K-means clustering in the above method belongs to a well-known technology and will not be repeated here.

[0036] After determining the operating status of the mold control device, it is also necessary to quickly communicate the device status so that the operator can quickly identify the current operating status. Therefore, in some embodiments, it is also necessary to indicate the operating status of the mold control device through the color of the fault indicator light and / or the sound of the fault indicator bell.

[0037] The present invention can more conveniently and accurately analyze the operating status of the mold control equipment by analyzing the operating status of the two hydraulic cylinders that cooperate with each other. The calculation of the comprehensive abnormality degree can comprehensively consider the stability of multiple dimensions and provide a more accurate status evaluation. Therefore, the operating status of the mold control equipment can be accurately monitored in real time, effectively improving the operating reliability and safety of the mold control equipment.

[0038] The present invention also provides a mold control equipment operation status monitoring system. Figure 3 As shown, the system includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a method for monitoring the operating status of a mold control device described in the present invention is implemented.

[0039] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface, whose configuration and functions are known in the art and thus will not be described in detail here.

[0040] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that may be stored or otherwise maintained by such a computer-readable medium.

[0041] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0042] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A method for monitoring the operating status of a mold control device, characterized in that: include: Collecting vibration acceleration of two hydraulic cylinders in the mold control device, the two hydraulic cylinders working together to form a load sharing system; Calculate the stability of each dimension of each hydraulic cylinder in the two hydraulic cylinders , where i is the i-th hydraulic cylinder, j is the j-th dimension, j = 1, 2 and 3, and k is the k-th second. and are the average vibration acceleration of the jth dimension of the i-th hydraulic cylinder in the kth second and the k-1th second, and are the maximum and minimum values ​​of the vibration acceleration of the jth dimension of the i-th hydraulic cylinder in the kth second, respectively. exp() is an exponential function with the natural constant e as the base; Calculate the comprehensive abnormality degree A k , according to the comprehensive abnormality degree A k The size of the mold control equipment is used to judge the operating status of the mold control equipment, and the comprehensive abnormality degree ,in, is the three-dimensional vector of the stability of the first hydraulic cylinder in three dimensions at the kth second, is a three-dimensional vector consisting of the stability of the second hydraulic cylinder in three dimensions at the kth second, Cosine() is the cosine similarity function, and exp() is an exponential function with the natural constant e as the base.

2. The method for monitoring the operating status of mold control equipment according to claim 1, characterized in that: After collecting the vibration acceleration, the method includes: A missing completion process is performed on the vibration acceleration.

3. The method for monitoring the operating status of mold control equipment according to claim 1, characterized in that: According to the comprehensive abnormality degree A k The size of the mold control equipment determines the operating status, including: When the comprehensive abnormality degree A k When it is less than the first threshold, the mold control device is in good operating condition; When the comprehensive abnormality degree A k When it is greater than or equal to the first threshold and less than the second threshold, the operation status of the mold control device is normal; When the comprehensive abnormality degree A k When it is greater than or equal to the second threshold, the operating state of the mold control device is poor.

4. The method for monitoring the operating status of mold control equipment according to claim 1, characterized in that: According to the comprehensive abnormality degree A k The size of the mold control equipment is used to determine the operating status of the mold control equipment, including: Collect multiple historical comprehensive abnormality levels and the comprehensive abnormality level A k Together they form a data set; Perform K-means clustering on the data set, K=3; Calculate the average value of each cluster. If the comprehensive abnormality level A k The cluster with the smallest average value indicates that the mold control equipment is in good operating condition. k If it belongs to the cluster with the largest average value, the operation status of the mold control equipment is poor; otherwise, the operation status of the mold control equipment is average.

5. The method for monitoring the operating status of mold control equipment according to claim 3 or 4, characterized in that: include: The mold control device indicates the operating status of the mold control device through the color of the fault prompt light and / or the sound of the fault prompt bell.

6. The method for monitoring the operating status of mold control equipment according to claim 3, characterized in that: The method for obtaining the first threshold and the second threshold includes: Collect multiple historical comprehensive abnormality levels to form a data set; Perform K-means clustering on the data set, K=2; Calculate the average value of each cluster, use the smaller average value as the first threshold, and the larger average value as the second threshold.

7. The method for monitoring the operating status of mold control equipment according to claim 1, characterized in that: The two hydraulic cylinders are of the same model.

8. A mold control equipment operation status monitoring system, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method for monitoring the operating status of a mold control device as described in any one of claims 1 to 7.

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