A control system for a fully automatic centrifugal casting device for rotor cores

Abstract

This invention belongs to the field of rotor core casting and involves data processing technology. It addresses the problem that existing control systems for centrifugal casting devices cannot monitor the operational status of optimized casting devices or analyze the maximization of optimization effects. Specifically, it provides a control system for a fully automatic centrifugal casting device for rotor cores, including a casting monitoring module, a preheating treatment module, a quality supervision module, a preheating management module, and a storage module. The storage module is communicatively connected to the preheating management module and the casting monitoring module, and the preheating management module is communicatively connected to the preheating treatment module and the quality supervision module. This invention can monitor the operational status of the optimized centrifugal casting device, and provide feedback on the overall operational status of the centrifugal casting device by combining the monitoring coefficients for each time period and the degree of deviation of the monitoring coefficients. It also provides timely warnings when abnormalities occur in the casting device.

Description

Technical Field

[0001] This invention belongs to the field of rotor core casting and involves data processing technology. Specifically, it is a control system for a fully automatic centrifugal casting device for rotor cores. Background Technology

[0002] Currently, there are two forming processes for aluminum rotors in the motor industry: die casting and centrifugal casting. Centrifugal casting is mainly used for larger rotors. Centrifugal casting has high requirements for centrifugal speed, aluminum liquid temperature, rotor temperature, mold temperature and mold heat dissipation. Insufficient rotor temperature or uneven overall temperature, low mold temperature, etc. will cause aluminum liquid to solidify, resulting in poor aluminum liquid fluidity.

[0003] To address issues such as uneven heating and insufficient aluminum melt fluidity, existing centrifugal casting equipment typically optimizes its internal structure and processes. However, existing technologies cannot be used to monitor the operational status of these optimized centrifugal casting equipment or to maximize the effectiveness of the optimization. This results in difficulties in monitoring the casting process, and the structural and process optimizations fail to provide substantial improvements in processing quality and efficiency, leading to poor stability in processing quality and efficiency.

[0004] To address the aforementioned technical problems, this application proposes a solution. Summary of the Invention

[0005] The purpose of this invention is to provide a control system for a fully automatic centrifugal casting device for rotor cores, which solves the problem that existing control systems for centrifugal casting devices cannot monitor the operating status of the optimized casting device or analyze the optimization effect to maximize its effectiveness.

[0006] The technical problem to be solved by this invention is: how to provide a control system that can monitor the operating status of the optimized casting device and analyze the optimization effect to maximize its effectiveness.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A control system for a fully automatic centrifugal casting device for rotor cores includes a casting monitoring module, a preheating treatment module, a quality supervision module, a preheating management module, and a storage module. The storage module is communicatively connected to the preheating management module and the casting monitoring module, and the preheating management module is communicatively connected to the preheating treatment module and the quality supervision module.

[0009] The casting monitoring module is used to monitor and analyze the operating status of the casting device and obtain the monitoring performance value and deviation value of the casting device. The operating status of the casting device is judged to meet the requirements by the magnitude of the monitoring performance value and deviation value.

[0010] The preheating module is used to analyze the preheating process of the casting device: before the casting device starts working, a preheating range is obtained, a preheating temperature value is randomly generated within the preheating range, the mold of the casting device is preheated and the temperature value of the inner wall of the mold is obtained in real time, until the temperature value of the inner wall of the mold reaches the preheating temperature value, the preheating process ends, and the difference between the end time and the start time of the preheating process is marked as the preheating duration; the difference between the end time and the start time of the casting process is marked as the casting duration; the preheating temperature value is matched with the preheating duration and the casting duration and sent to the preheating management module;

[0011] The quality supervision module is used to supervise and analyze the casting quality after the casting process is completed and obtain the quality coefficient, and then send the quality coefficient to the preheating management module.

[0012] The preheating management module is used to optimize and analyze the preheating temperature of the casting device: the maximum and minimum values ​​of the received preheating temperature values ​​constitute the analysis range, which is divided into several analysis intervals. The preheating time, casting time, and quality coefficient ZL corresponding to the preheating temperature values ​​within the analysis intervals are numerically calculated to obtain the beneficial coefficients corresponding to the preheating temperature values. The beneficial coefficients corresponding to all preheating temperature values ​​within the analysis range are summed and averaged to obtain the beneficial performance value of the analysis interval. The analysis interval with the largest beneficial performance value is marked as the standard interval, and the standard interval is sent to the storage module for storage.

[0013] Furthermore, the process of obtaining the monitoring performance value and deviation value includes: dividing the running time of the casting device into several monitoring time zones, obtaining the deflection data and temperature deviation data of the casting device in the monitoring time zone, obtaining the monitoring coefficient of the casting device in the monitoring time zone by numerical calculation of the deflection data and temperature deviation data; marking the average value of the monitoring coefficients of all monitoring time zones as the monitoring performance value, establishing a monitoring set of the monitoring coefficients of all monitoring time zones, and calculating the variance of the monitoring set to obtain the deviation value.

[0014] Furthermore, the process of acquiring the deflection data includes: acquiring the rotational speed value and rotational speed range of the casting device's rotating shaft within the monitoring time zone; marking the average of the maximum and minimum values ​​within the rotational speed range as the rotational speed average; marking the average of the difference between the rotational speed value and the rotational speed average as the deflection value; and marking the maximum value of the deflection value of the casting device within the monitoring time zone as the deflection data ZP. The process of acquiring the temperature deviation data WP includes: acquiring the temperature value and temperature range of the outer wall of the casting cavity within the monitoring time zone; marking the average of the maximum and minimum values ​​within the temperature range as the temperature average; marking the absolute value of the difference between the temperature value of the outer wall of the casting cavity and the temperature average as the temperature deviation value; and marking the maximum value of the temperature deviation value of the casting device within the monitoring time zone as the temperature deviation data.

[0015] Furthermore, the process of determining whether the operating status of the casting device meets the requirements includes: obtaining the monitoring performance threshold and deviation threshold through the storage module, comparing the monitoring performance value and deviation value with the monitoring performance threshold and deviation threshold respectively; if the monitoring performance value is less than the monitoring performance threshold and the deviation value is less than the monitoring threshold, then the operating status of the casting device is determined to meet the requirements; otherwise, the operating status of the casting device is determined to not meet the requirements, and the casting monitoring module sends an abnormal operation signal to the mobile terminal of the management personnel.

[0016] Furthermore, the specific process of the quality supervision module to supervise and analyze the casting quality includes: marking the completed casting rotor as the supervision object, obtaining the quality difference data and surface data of the supervision object; obtaining the quality coefficient of the supervision object by numerical calculation of the quality difference data and surface data; and sending the quality coefficient of the supervision object to the preheating management module.

[0017] Furthermore, the process of acquiring quality defect data includes: marking the quality values ​​of the supervised object before and after casting as pre-cast value and post-cast value, respectively; marking the difference between the post-cast value and the pre-cast value as the quality defect value; obtaining the quality defect range; marking the average of the maximum and minimum values ​​within the quality defect range as the quality defect mean; and marking the average of the differences between the quality defect value and the quality defect mean as the quality defect data of the supervised object. The process of acquiring surface data includes: after the casting process is completed, taking images of each surface of the supervised object; marking the captured images as supervised images; performing crack detection processing on the supervised images using digital image processing technology; and marking the sum of the number of cracks in all supervised objects obtained through the detection processing as surface data.

[0018] The operating method of the control system of the fully automatic centrifugal casting device for rotor cores includes the following steps:

[0019] Step 1: Monitor and analyze the operating status of the casting device: Divide the operating time of the casting device into several monitoring time zones, obtain the monitoring performance value and deviation value of the casting process through the monitoring coefficient of the monitoring time zone, and determine whether the operating status of the casting device meets the requirements by the magnitude of the monitoring performance value and deviation value.

[0020] Step 2: Analyze the preheating process of the casting device: Before the casting device starts working, obtain the preheating range, randomly generate a preheating temperature value within the preheating range, preheat the mold of the casting device and obtain the temperature value of the inner wall of the mold in real time until the temperature value of the inner wall of the mold reaches the preheating temperature value, the preheating process ends, match the preheating time, casting time with the preheating temperature value and send it to the preheating management module;

[0021] Step 3: After the casting process is completed, the casting quality is monitored and analyzed: The rotor that has completed the casting process is marked as the monitoring object, the quality difference data and surface data of the monitoring object are obtained and numerical calculations are performed to obtain the quality coefficient, and the quality coefficient is sent to the preheating management module;

[0022] Step 4: Optimize the preheating temperature of the casting device: The analysis range is formed by the maximum and minimum values ​​of the received preheating temperature. The analysis range is divided into several analysis intervals. The beneficial performance values ​​of the analysis intervals are obtained. The standard intervals are selected from the analysis intervals by the magnitude of the beneficial performance values. The standard intervals are sent to the storage module.

[0023] The present invention has the following beneficial effects:

[0024] 1. The casting monitoring module can monitor the operation status of the centrifugal casting device after structural optimization. By monitoring in different time periods, the operating parameters of each monitoring period are extracted. Then, the overall operation status of the centrifugal casting device is fed back by combining the monitoring coefficients of each time period and the deviation of the monitoring coefficients. When the casting device is abnormal, an early warning is issued in time.

[0025] 2. The preheating process module is used to analyze the preheating process of the optimized casting device. In order to ensure the fluidity of the aluminum liquid during the casting process, the existing technology usually preheats the mold before casting. However, the preheating temperature range is large. Randomly selecting a temperature value within a large range for preheating will lead to a large deviation in the processing efficiency and processing quality of the casting device. Therefore, the preheating process analysis of the preheating process module can provide data support for the extraction of standard ranges, so that the processing efficiency and processing quality of the optimized casting device can be effectively improved.

[0026] 3. The quality supervision module can monitor and analyze the casting quality. By collecting and calculating quality parameters, a quality coefficient is obtained. The quality coefficient is used to provide feedback on the overall quality of the casting process. This allows for timely feedback when the processing quality is unqualified, ensuring the processing quality of the optimized casting device.

[0027] 4. The preheating management module can optimize and analyze the preheating temperature of the casting device, comprehensively analyze the quality and efficiency parameters of the casting device, and combine the preheating temperature value selected before casting to screen out the analysis range with the highest quality and fastest efficiency. This allows the preheating temperature value of subsequent casting to be controlled within the analysis range, so that the processing efficiency and processing quality of the optimized casting device can be steadily improved. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0029] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0030] Figure 2 This is a flowchart of the method in Embodiment 2 of the present invention. Detailed Implementation

[0031] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Example 1

[0033] like Figure 1 As shown, a control system for a fully automatic centrifugal casting device for rotor cores includes a casting monitoring module, a preheating treatment module, a quality supervision module, a preheating management module, and a storage module. The storage module is communicatively connected to the preheating management module and the casting monitoring module, and the preheating management module is communicatively connected to the preheating treatment module and the quality supervision module.

[0034] The casting monitoring module is used to monitor and analyze the operating status of the casting equipment. It divides the operating time of the casting equipment into several monitoring time zones, and acquires the deflection data ZP and temperature deviation data WP of the casting equipment within each monitoring time zone. The acquisition process of the deflection data ZP includes: obtaining the rotational speed value and speed range of the casting equipment's rotating shaft within the monitoring time zone; marking the average of the maximum and minimum values ​​within the speed range as the average speed value; marking the average difference between the rotational speed value and the average speed value as the deflection value; and marking the maximum value of the deflection value of the casting equipment within the monitoring time zone as... The process of acquiring temperature deviation data (WP) includes: obtaining the temperature value and temperature range of the outer wall of the casting cavity within the monitoring time zone; marking the average of the maximum and minimum values ​​within the temperature range as the temperature mean; marking the absolute value of the difference between the temperature value of the outer wall of the casting cavity and the temperature mean as the temperature deviation value; and marking the maximum temperature deviation value of the casting device within the monitoring time zone as the temperature deviation data (WP). The monitoring coefficient (JK) of the casting device within the monitoring time zone is obtained using the formula JK=α1*ZP+α2*WP. The monitoring coefficient reflects the performance of the casting device within the monitoring period. The numerical values ​​representing the operational status of the centrifugal casting device are as follows: the larger the monitoring coefficient value, the worse the operational status of the casting device within the corresponding monitoring period; α1 and α2 are both proportional coefficients, and α1 > α2 > 1; the average value of the monitoring coefficients JK for all monitoring time zones is marked as the monitoring performance value; a monitoring set is established for the monitoring coefficients of all monitoring time zones, and the variance of the monitoring set is calculated to obtain the deviation value; the monitoring performance threshold and deviation threshold are obtained through the storage module, and the monitoring performance value and deviation value are compared with the monitoring performance threshold and deviation threshold respectively: if the monitoring performance value is less than the monitoring performance threshold and the deviation value is less than the monitoring threshold, the operational status of the casting device is determined to meet the requirements; otherwise, the operational status of the casting device is determined to not meet the requirements, and the casting monitoring module sends an operational anomaly signal to the mobile terminal of the management personnel; the operational status of the optimized centrifugal casting device is monitored, and the operational parameters within each monitoring period are extracted through time-segmented monitoring, and then the overall operational status of the centrifugal casting device is fed back by combining the monitoring coefficients of each period and the degree of deviation of the monitoring coefficients, and timely warnings are issued when abnormalities occur in the casting device.

[0035] The preheating module analyzes the preheating process of the casting apparatus: Before the casting apparatus operates, a preheating range is obtained. Within this range, a preheating temperature value is randomly generated. The mold of the casting apparatus is preheated, and the temperature of the inner wall of the mold is acquired in real time. The preheating process ends when the temperature of the inner wall of the mold reaches the preheating temperature value. The difference between the end time and the start time of the preheating process is marked as the preheating duration YS; the difference between the end time and the start time of the casting process is marked as the casting duration JS; the preheating temperature value is compared with the preheating duration YS and the casting duration JS. The matching process is performed and sent to the preheating management module. The preheating process of the optimized casting device is analyzed. In order to ensure the fluidity of the aluminum liquid during the casting process, the existing technology usually preheats the mold before casting. However, the preheating temperature range is large. Randomly selecting a temperature value within a large range for preheating will lead to a large deviation in the processing efficiency and processing quality of the casting device. Therefore, the preheating process analysis of the preheating module can provide data support for the extraction of the standard range, so that the processing efficiency and processing quality of the optimized casting device can be effectively improved.

[0036] The quality monitoring module is used to monitor and analyze the casting quality after the casting process is completed. It marks the completed rotor as the monitored object and obtains the quality difference data ZC and surface data BM for the monitored object. The process of obtaining the quality difference data ZC includes: marking the quality values ​​of the monitored object before and after casting as the pre-cast value and post-cast value, respectively; marking the difference between the post-cast value and the pre-cast value as the quality difference value; obtaining the quality difference range; marking the average of the maximum and minimum values ​​within the quality difference range as the quality difference mean; and marking the average of the differences between the quality difference value and the quality difference mean as the quality difference data ZC for the monitored object. The process of obtaining the surface data BM includes: after the casting process is completed, taking images of each surface of the monitored object; and then... The obtained images are labeled as monitoring images. Crack detection processing is performed on the monitoring images using digital image processing technology. The total number of cracks in all monitored objects detected is labeled as surface data BM. The quality coefficient ZL of the monitored object is obtained using the formula ZL=β1*ZC+β2*BM, where β1 and β2 are proportionality coefficients, and β2>β1>1. The quality coefficient ZL of the monitored object is sent to the preheating management module. The casting quality is monitored and analyzed. The quality coefficient is obtained by collecting and numerically calculating quality parameters. The quality coefficient is used to provide feedback on the overall completion quality of the casting process, allowing for timely feedback when the processing quality is unqualified, thus ensuring the processing quality of the optimized casting device.

[0037] The preheating management module is used to optimize the preheating temperature of the casting equipment. The analysis range is defined by the maximum and minimum received preheating temperature values. This range is divided into several analysis intervals. The beneficial coefficient YY corresponding to the preheating temperature value within each interval is calculated using the preheating time YS, casting time JS, and quality coefficient ZL. The calculation formula is: YY = γ1 / YS + γ2 / JS + γ3 / ZL. The beneficial coefficient reflects the processing efficiency and quality of the casting equipment within the analysis interval. A larger beneficial coefficient indicates higher processing efficiency and better processing quality within the corresponding analysis interval. γ1 and γ2 are further subdivided into several intervals. Both γ1 and γ2 are proportionality coefficients, and γ3 > γ2 > γ1 > 1. The beneficial coefficients YY corresponding to all preheating temperature values ​​within the analysis range are summed and averaged to obtain the beneficial performance value of the analysis interval. The analysis interval with the largest beneficial performance value is marked as the standard interval, and the standard interval is sent to the storage module for storage. The preheating temperature of the casting device is optimized and analyzed. The quality parameters and efficiency parameters of the casting device are comprehensively analyzed. Combined with the preheating temperature value selected before casting, the analysis interval with the highest quality and fastest efficiency is selected. Thus, the preheating temperature value of subsequent casting is controlled within the analysis interval, so that the processing efficiency and processing quality of the optimized casting device can be steadily improved.

[0038] Example 2

[0039] like Figure 2 As shown, a control method for a fully automatic centrifugal casting device for rotor cores includes the following steps:

[0040] Step 1: Monitor and analyze the operating status of the casting device: Divide the running time of the casting device into several monitoring time zones, obtain the monitoring performance value and deviation value of the casting process through the monitoring coefficient of the monitoring time zone, and determine whether the operating status of the casting device meets the requirements by the magnitude of the monitoring performance value and deviation value, and issue a timely warning when the casting device is abnormal.

[0041] Step 2: Analyze the preheating process of the casting device: Before the casting device starts working, obtain the preheating range, randomly generate a preheating temperature value within the preheating range, preheat the mold of the casting device and obtain the temperature value of the inner wall of the mold in real time until the temperature value of the inner wall of the mold reaches the preheating temperature value, the preheating process ends, match the preheating time, casting time and preheating temperature value and send them to the preheating management module to provide data support for the extraction of standard range;

[0042] Step 3: Monitor and analyze the casting quality after the casting process is completed: Mark the completed casting rotor as the monitoring object, obtain the quality difference data and surface data of the monitoring object and perform numerical calculation to obtain the quality coefficient, and send the quality coefficient to the preheating management module so that feedback can be given in time when the processing quality is unqualified;

[0043] Step 4: Optimize the preheating temperature of the casting device: The analysis range is defined by the maximum and minimum values ​​of the received preheating temperature. The analysis range is divided into several analysis intervals, and the beneficial performance values ​​of the analysis intervals are obtained. The standard interval is selected from the analysis intervals based on the magnitude of the beneficial performance values. The standard interval is sent to the storage module to control the preheating temperature value of subsequent casting processes within the analysis intervals, so that the processing efficiency and processing quality of the optimized casting device can be steadily improved.

[0044] A control system for a fully automatic centrifugal casting device for rotor cores monitors and analyzes the operating status of the casting device during operation. The operating time of the casting device is divided into several monitoring time zones. Monitoring performance values ​​and deviation values ​​of the casting process are obtained through monitoring coefficients for each time zone. The magnitude of these values ​​determines whether the operating status of the casting device meets requirements. The system also analyzes the preheating process of the casting device, matching the preheating time, casting time, and preheating temperature values ​​and sending the results to a preheating management module. After casting is completed, the system monitors and analyzes the casting quality and sends the quality coefficient to the preheating management module. Finally, the system optimizes the preheating temperature of the casting device and sends a standard range to a storage module, controlling the preheating temperature values ​​for subsequent casting processes within the analyzed range. This ensures that the optimized casting device achieves a stable improvement in both processing efficiency and processing quality.

[0045] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0046] The above formulas are all derived from software simulation using a large amount of collected data, and are selected to be close to the true values. The coefficients in the formulas are set by those skilled in the art according to the actual situation; for example, the formula JK=α1*ZP+α2*WP; those skilled in the art collect multiple sets of sample data and set corresponding monitoring coefficients for each set of sample data; substitute the set monitoring coefficients and the collected sample data into the formulas, any two formulas form a system of two linear equations in two variables, filter the calculated coefficients and take the average value, and obtain the values ​​of α1 and α2 as 5.68, 2.97 and 4.25 respectively;

[0047] The magnitude of the coefficient is a specific value obtained by quantifying each parameter to facilitate subsequent comparison. The magnitude of the coefficient depends on the amount of sample data and the monitoring coefficient initially set by those skilled in the art for each set of sample data. As long as it does not affect the proportional relationship between the parameter and the quantified value, such as the monitoring coefficient being proportional to the value of the temperature deviation data.

[0048] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0049] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A control system for a fully automatic centrifugal casting device for rotor cores, characterized in that, It includes a casting monitoring module, a preheating treatment module, a quality supervision module, a preheating management module, and a storage module. The storage module is communicatively connected to the preheating management module and the casting monitoring module. The preheating management module is communicatively connected to the preheating treatment module and the quality supervision module. The casting monitoring module is used to monitor and analyze the operating status of the casting device and obtain the monitoring performance value and deviation value of the casting device. The operating status of the casting device is judged to meet the requirements by the magnitude of the monitoring performance value and deviation value. The preheating module is used to analyze the preheating process of the casting device: before the casting device starts working, a preheating range is obtained, a preheating temperature value is randomly generated within the preheating range, the mold of the casting device is preheated and the temperature value of the inner wall of the mold is obtained in real time, until the temperature value of the inner wall of the mold reaches the preheating temperature value, the preheating process ends, and the difference between the end time and the start time of the preheating process is marked as the preheating duration; the difference between the end time and the start time of the casting process is marked as the casting duration; the preheating temperature value is matched with the preheating duration and the casting duration and sent to the preheating management module; The quality supervision module is used to supervise and analyze the casting quality after the casting process is completed and obtain the quality coefficient, and then send the quality coefficient to the preheating management module. The preheating management module is used to optimize and analyze the preheating temperature of the casting device: the maximum and minimum values ​​of the received preheating temperature values ​​constitute the analysis range, which is divided into several analysis intervals. The preheating time, casting time, and quality coefficient ZL corresponding to the preheating temperature values ​​within the analysis intervals are numerically calculated to obtain the beneficial coefficients corresponding to the preheating temperature values. The beneficial coefficients corresponding to all preheating temperature values ​​within the analysis range are summed and averaged to obtain the beneficial performance value of the analysis interval. The analysis interval with the largest beneficial performance value is marked as the standard interval, and the standard interval is sent to the storage module for storage.

2. The control system of the fully automatic centrifugal casting device for rotor cores according to claim 1, characterized in that, The process of obtaining monitoring performance values ​​and deviation values ​​includes: dividing the running time of the casting device into several monitoring time zones, obtaining the deflection data and temperature deviation data of the casting device within the monitoring time zones, obtaining the monitoring coefficient of the casting device within the monitoring time zones by numerically calculating the deflection data and temperature deviation data; marking the average value of the monitoring coefficients of all monitoring time zones as the monitoring performance value, establishing a monitoring set of the monitoring coefficients of all monitoring time zones, and calculating the variance of the monitoring set to obtain the deviation value.

3. The control system of the fully automatic centrifugal casting device for rotor cores according to claim 2, characterized in that, The process of acquiring deflection data includes: acquiring the rotational speed value and speed range of the casting device's rotating shaft within the monitoring time zone; marking the average of the maximum and minimum values ​​within the speed range as the speed mean; marking the average of the difference between the rotational speed value and the speed mean as the deflection value; and marking the maximum value of the deflection value of the casting device within the monitoring time zone as deflection data ZP. The process of acquiring temperature deviation data WP includes: acquiring the temperature value and temperature range of the outer wall of the casting cavity within the monitoring time zone; marking the average of the maximum and minimum values ​​within the temperature range as the temperature mean; marking the absolute value of the difference between the outer wall temperature value of the casting cavity and the temperature mean as the temperature deviation value; and marking the maximum value of the temperature deviation value of the casting device within the monitoring time zone as temperature deviation data.

4. The control system of the fully automatic centrifugal casting device for rotor cores according to claim 1, characterized in that, The process of determining whether the operating status of the casting device meets the requirements includes: obtaining the monitoring performance threshold and deviation threshold through the storage module, comparing the monitoring performance value and deviation value with the monitoring performance threshold and deviation threshold respectively; if the monitoring performance value is less than the monitoring performance threshold and the deviation value is less than the monitoring threshold, the operating status of the casting device is determined to meet the requirements; otherwise, the operating status of the casting device is determined to not meet the requirements, and the casting monitoring module sends an abnormal operation signal to the mobile terminal of the management personnel.

5. The control system of the fully automatic centrifugal casting device for rotor cores according to claim 1, characterized in that, The specific process of the quality supervision module to supervise and analyze the casting quality includes: marking the completed casting rotor as the supervision object, obtaining the quality difference data and surface data of the supervision object; and obtaining the quality coefficient of the supervision object by numerical calculation of the quality difference data and surface data.

6. The control system of the fully automatic centrifugal casting device for rotor cores according to claim 5, characterized in that, The process of acquiring quality difference data includes: marking the quality values ​​of the supervised object before and after casting as pre-cast value and post-cast value, respectively; marking the difference between the post-cast value and the pre-cast value as the quality difference value; obtaining the quality difference range; marking the average of the maximum and minimum values ​​within the quality difference range as the quality difference mean; and marking the average of the differences between the quality difference value and the quality difference mean as the quality difference data of the supervised object. The process of acquiring surface data includes: taking images of each surface of the supervised object after casting is completed; marking the images as supervised images; performing crack detection processing on the supervised images using digital image processing technology; and marking the sum of the number of cracks in all supervised objects obtained through the detection processing as surface data.

7. The control system of a fully automatic centrifugal casting device for rotor cores according to any one of claims 1-6, characterized in that, The operating method of the control system of the fully automatic centrifugal casting device for rotor cores includes the following steps: Step 1: Monitor and analyze the operating status of the casting device: Divide the operating time of the casting device into several monitoring time zones, obtain the monitoring performance value and deviation value of the casting process through the monitoring coefficient of the monitoring time zone, and determine whether the operating status of the casting device meets the requirements by the magnitude of the monitoring performance value and deviation value. Step 2: Analyze the preheating process of the casting device: Before the casting device starts working, obtain the preheating range, randomly generate a preheating temperature value within the preheating range, preheat the mold of the casting device and obtain the temperature value of the inner wall of the mold in real time until the temperature value of the inner wall of the mold reaches the preheating temperature value, the preheating process ends, match the preheating time, casting time with the preheating temperature value and send it to the preheating management module; Step 3: After the casting process is completed, the casting quality is monitored and analyzed: The rotor that has completed the casting process is marked as the monitoring object, the quality difference data and surface data of the monitoring object are obtained and numerical calculations are performed to obtain the quality coefficient, and the quality coefficient is sent to the preheating management module; Step 4: Optimize the preheating temperature of the casting device: The analysis range is formed by the maximum and minimum values ​​of the received preheating temperature. The analysis range is divided into several analysis intervals. The beneficial performance values ​​of the analysis intervals are obtained. The standard intervals are selected from the analysis intervals by the magnitude of the beneficial performance values. The standard intervals are sent to the storage module.

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