CT high voltage generator and bulb tube rotating anode bearing health monitoring system

Abstract

The invention discloses a CT high voltage generator and bulb tube rotating anode bearing health monitoring system, and belongs to the technical field of CT imaging, and the system comprises a monitoring processing module which is configured to collect and process real-time data of a CT high voltage generator and a bulb tube rotating anode bearing, and determine feature data of the CT high voltage generator and the bulb tube rotating anode bearing; the health analysis module is configured to analyze the characteristic data of the CT high-voltage generator and the bulb tube rotating anode bearing and determine a health monitoring result of the CT high-voltage generator and the bulb tube rotating anode bearing; and the health management module is configured to perform health management on the CT high-voltage generator and the bulb tube rotating anode bearing. According to the invention, the problem that real-time health monitoring and abnormity management cannot be carried out on the CT high-voltage generator and the bulb tube rotating anode bearing in the prior art is solved. According to the invention, real-time health monitoring and abnormity management can be carried out on the CT high-voltage generator and the bulb tube rotating anode bearing, and the operation efficiency of the whole machine can be improved.

Description

Technical Field

[0001] The present invention relates to the field of CT imaging technology, in particular to a CT high-voltage generator and a tube rotating anode bearing health monitoring system. Background Art

[0002] The CT high-voltage generator, under the control of a main control computer, generates stable, high-frequency, inverted DC high voltage with sufficient power to supply the CT tube. It also provides voltage for the rotating anode drive circuit and the filament current control circuit, generating a stable tube current for the tube filament. Its operating principle is briefly described as follows: Before high-voltage exposure, the CT main control computer issues a command and provides the required exposure parameters. Upon receiving the command, the high-voltage generator checks its status and, upon confirming that everything is normal, sends a high-voltage ready message to the CT host. The CT host then issues the exposure command and transmits exposure control pulses to the high-voltage generator. The high-voltage generator activates the rotating anode, energizes the filament current, and adjusts the high-voltage transformer primary voltage to the CT's required parameters. It then sends a high-voltage generator OK message and begins generating high voltage for the tube exposure. Throughout the exposure period, the high-voltage primary voltage is continuously adjusted according to changes in the tube current to ensure smooth pulsed high voltage and a relatively constant tube current. If any abnormal high-voltage parameters are detected, the generator is immediately disconnected and an error code is reported.

[0003] The CT tube includes key components such as the vacuum glass cover, cathode filament, and rotating anode. The rotating anode consists of a target surface, rotor, and bearings. The target surface receives electron bombardment, dissipates heat, and reflects X-rays at a specific target angle. The rotor drives the rotating anode target, while the bearings support the rotor's rotation. The bearings significantly impact the overall tube structure. Therefore, health monitoring of the CT high-voltage generator and the tube's rotating anode bearings is particularly important.

[0004] Existing technologies cannot perform real-time health monitoring of CT high-voltage generators and tube rotating anode bearings, cannot promptly detect abnormal conditions of CT high-voltage generators and tube rotating anode bearings, and cannot promptly manage the health of abnormal conditions, resulting in poor use of CT high-voltage generators and tube rotating anode bearings, affecting the operating efficiency of the entire machine. Summary of the Invention

[0005] The purpose of the present invention is to provide a health monitoring system for a CT high-voltage generator and a rotating anode bearing of a CT tube, which can perform real-time health monitoring and abnormality management of the CT high-voltage generator and the rotating anode bearing of the CT tube, thereby improving the use effect of the CT high-voltage generator and the rotating anode bearing of the CT tube, improving the operating efficiency of the entire machine, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: CT high voltage generator and tube rotating anode bearing health monitoring system, including: A monitoring and processing module is configured to collect and process real-time data of the CT high-voltage generator and the tube rotating anode bearing, and determine characteristic data of the CT high-voltage generator and the tube rotating anode bearing; A health analysis module is configured to analyze characteristic data of the CT high voltage generator and the tube rotating anode bearing to determine health monitoring results of the CT high voltage generator and the tube rotating anode bearing; The health management module is configured to perform health management on the CT high voltage generator and the tube rotating anode bearing, thereby forming a closed-loop health monitoring management system for the CT high voltage generator and the tube rotating anode bearing.

[0007] Preferably, collecting real-time data of the CT high-voltage generator and the tube rotating anode bearing includes: Intelligent monitoring equipment is used to monitor the tube voltage, tube current, tube voltage fluctuation rate, tube current ripple coefficient, and dynamic response time output by the CT high-voltage generator in real time, so as to match the CT high-voltage generator with the tube requirements and collect real-time data of the CT high-voltage generator; Intelligent monitoring equipment is used to monitor the speed, vibration amplitude, temperature change and lubrication status of the tube rotating anode bearing in real time, so as to match the CT high-voltage generator with the tube requirements and collect real-time data of the tube rotating anode bearing; According to the real-time data of the CT high-voltage generator and the real-time data of the tube rotating anode bearing, the real-time data of the CT high-voltage generator and the tube rotating anode bearing are determined.

[0008] Preferably, processing the real-time data of the CT high voltage generator and the tube rotating anode bearing includes: Clean the real-time data of the CT high-voltage generator and the rotating anode bearing of the tube to remove the noise data that is of no value to the health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube; Check the real-time data of the CT high-voltage generator and the tube rotating anode bearing one by one to determine the integrity of the real-time data of the CT high-voltage generator and the tube rotating anode bearing, and identify missing values and abnormal values in the real-time data of the CT high-voltage generator and the tube rotating anode bearing; Evaluate the identified missing values and outliers to determine whether they are valuable for health monitoring of CT high-voltage generators and rotating anode bearings of the tube; If there is value, the missing values and outliers are processed, wherein the missing values are filled and the outliers are corrected; otherwise, the missing values and outliers are deleted.

[0009] Preferably, the processing of real-time data of the CT high voltage generator and the tube rotating anode bearing also includes: Normalize the real-time data of the CT high-voltage generator and the tube rotating anode bearing to convert them into a unified data format and remove the dimension differences in the real-time data of the CT high-voltage generator and the tube rotating anode bearing; Feature extraction is performed on the real-time data of CT high-voltage generator and tube rotating anode bearing. Features valuable for health monitoring of CT high-voltage generator and tube rotating anode bearing are extracted from the real-time data of CT high-voltage generator and tube rotating anode bearing, and the characteristic data of CT high-voltage generator and tube rotating anode bearing are determined.

[0010] Preferably, analyzing characteristic data of the CT high voltage generator and the tube rotating anode bearing to determine health monitoring results of the CT high voltage generator and the tube rotating anode bearing includes: According to the health monitoring requirements of CT high-voltage generator and tube rotating anode bearing, the threshold data of CT high-voltage generator and tube rotating anode bearing are pre-set for health monitoring and analysis of CT high-voltage generator and tube rotating anode bearing; According to the threshold data of the CT high-voltage generator and the rotating anode bearing of the tube, the characteristic data of the CT high-voltage generator and the rotating anode bearing of the tube are compared and analyzed to judge the health monitoring status of the CT high-voltage generator and the rotating anode bearing of the tube, and determine the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube.

[0011] Preferably, judging the health monitoring status of the CT high voltage generator and the tube rotating anode bearing includes: The characteristic data of the CT high voltage generator and the rotating anode bearing of the tube were compared with the threshold data of the CT high voltage generator and the rotating anode bearing of the tube one by one to analyze the health status of the CT high voltage generator and the rotating anode bearing of the tube; When the characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing are within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing, the health monitoring result of the CT high voltage generator and the spherical tube rotating anode bearing is that there is no health monitoring abnormality of the CT high voltage generator and the spherical tube rotating anode bearing; When the characteristic data of the CT high voltage generator and the tube rotating anode bearing is not within the threshold data range of the CT high voltage generator and the tube rotating anode bearing, the health monitoring result of the CT high voltage generator and the tube rotating anode bearing is that there is a health monitoring abnormality in the CT high voltage generator and the tube rotating anode bearing.

[0012] Preferably, when the characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing are not within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing, adjusting the data acquisition frequency thereof includes: When the CT high voltage generator and the tube rotating anode bearing characteristic data are not within the CT high voltage generator and the tube rotating anode bearing threshold data range, extracting the upper limit value and the lower limit value corresponding to the CT high voltage generator and the tube rotating anode bearing characteristic data and the corresponding tube rotating anode bearing threshold data range; The upper limit value and the lower limit value corresponding to the threshold data range of the tube rotating anode bearing are retrieved as the target limit value, which is closest to the characteristic data of the CT high voltage generator and the tube rotating anode bearing; performing difference processing on the characteristic data of the CT high voltage generator and the rotating anode bearing of the bulb tube and the target limit value, and obtaining the difference between the characteristic data of the CT high voltage generator and the rotating anode bearing of the bulb tube and the target limit value as a first difference value; performing difference processing on the upper limit value and the lower limit value of the data range of the CT high voltage generator and the rotating anode bearing threshold value, and obtaining the difference between the upper limit value and the lower limit value of the data range of the CT high voltage generator and the rotating anode bearing threshold value as a second difference value; Performing ratio processing on the first difference and the second difference to obtain a first ratio coefficient between the first difference and the second difference; The characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing that are not within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing are used as target data; Retrieve the data span corresponding to the maximum fluctuation of the target data; Performing a ratio processing on the data span corresponding to the maximum data fluctuation of the target data and the second difference to obtain a second ratio coefficient; comparing the first ratio coefficient and the second ratio coefficient; When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, the data acquisition frequency of the target data is adjusted.

[0013] Preferably, when the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, the data collection frequency of the target data is adjusted, including: When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, calling the current data collection frequency of the target data; Retrieve the data collection frequency corresponding to the target data and adjust the historical data; When the current data collection frequency of the target data is the first data collection frequency adjustment, a normalization process is performed using the difference between the first ratio coefficient and the second ratio coefficient to obtain a normalized difference parameter; The current data collection frequency of the target data is adjusted using the normalized difference parameters; When the current data acquisition frequency of the target data is not the first data acquisition frequency adjustment, the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter are retrieved; The current data acquisition frequency of the target data is adjusted using the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter.

[0014] Preferably, health management is performed on the CT high voltage generator and the tube rotating anode bearing, including: Based on the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube, find the cause of the abnormal health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube, locate the abnormality, and determine the location and cause of the abnormality; Formulate health management plans for CT high-voltage generators and tube rotating anode bearings in a timely manner based on the location and cause of abnormalities in the CT high-voltage generators and tube rotating anode bearings; According to the health management plan for CT high voltage generator and tube rotating anode bearing, the abnormal location of CT high voltage generator and tube rotating anode bearing is maintained in time, and the cause of the abnormality of CT high voltage generator and tube rotating anode bearing is eliminated to ensure the normal operation of CT high voltage generator and tube rotating anode bearing.

[0015] Preferably, a closed-loop health monitoring management system for the CT high-voltage generator and the tube rotating anode bearing is formed, including: Real-time monitoring is performed on the CT high-voltage generator and the tube rotating anode bearing after health management to determine whether there are abnormal behaviors in the operation of the CT high-voltage generator and the tube rotating anode bearing after health management, and the health management plan of the CT high-voltage generator and the tube rotating anode bearing is adjusted according to the real-time monitoring feedback to form a closed-loop management of the health monitoring of the CT high-voltage generator and the tube rotating anode bearing.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention collects and processes real-time data of the CT high-voltage generator and the rotating anode bearing of the ball tube, determines characteristic data of the CT high-voltage generator and the rotating anode bearing of the ball tube, compares and analyzes the characteristic data of the CT high-voltage generator and the rotating anode bearing of the ball tube according to pre-set threshold data of the CT high-voltage generator and the rotating anode bearing of the ball tube, judges the health monitoring status of the CT high-voltage generator and the rotating anode bearing of the ball tube, determines the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the ball tube, and when the health monitoring abnormality of the CT high-voltage generator and the rotating anode bearing of the ball tube exists, the CT high-voltage generator and the rotating anode bearing of the ball tube are monitored. The abnormal situation of the rotating anode bearing is promptly maintained, and the cause of the abnormal situation of the CT high-voltage generator and the rotating anode bearing of the tube is eliminated, so that the CT high-voltage generator and the rotating anode bearing of the tube can operate normally, forming a closed-loop management of the health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube, which can perform real-time health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube, and can promptly discover the abnormal situation of the CT high-voltage generator and the rotating anode bearing of the tube, and can promptly manage the health of the abnormal situation, which can improve the use effect of the CT high-voltage generator and the rotating anode bearing of the tube and improve the operation efficiency of the whole machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a module diagram of the CT high voltage generator and tube rotating anode bearing health monitoring system of the present invention; Figure 2 This is a flow chart of the CT high voltage generator and tube rotating anode bearing health monitoring system of the present invention; Figure 3 This is a flow chart for judging the health monitoring status of the CT high voltage generator and the tube rotating anode bearing of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] In order to solve the existing problems of not being able to conduct real-time health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube, not being able to detect abnormal conditions of the CT high-voltage generator and the rotating anode bearing of the tube in time, and not being able to conduct timely health management of abnormal conditions, resulting in poor performance of the CT high-voltage generator and the rotating anode bearing of the tube and affecting the operating efficiency of the entire machine, please refer to Figure 1-Figure 3 , this embodiment provides the following technical solutions: The CT high-voltage generator and tube rotating anode bearing health monitoring system includes: a monitoring and processing module, a health analysis module, and a health management module.

[0020] Specifically, through the interaction between the monitoring and processing module, the health analysis module and the health management module, the health of the CT high-voltage generator and the tube rotating anode bearing can be monitored in real time, abnormal conditions of the CT high-voltage generator and the tube rotating anode bearing can be discovered in time, and the abnormal conditions can be managed in time, which can improve the use effect of the CT high-voltage generator and the tube rotating anode bearing and improve the operating efficiency of the entire machine.

[0021] Among them, the monitoring and processing module is used to collect and process real-time data of the CT high-voltage generator and the tube rotating anode bearing, and determine the characteristic data of the CT high-voltage generator and the tube rotating anode bearing.

[0022] In this embodiment, real-time data of the CT high-voltage generator and the tube rotating anode bearing are collected, including: Intelligent monitoring equipment is used to monitor the tube voltage, tube current, tube voltage fluctuation rate, tube current ripple coefficient, and dynamic response time output by the CT high-voltage generator in real time, so as to match the CT high-voltage generator with the tube requirements and collect real-time data of the CT high-voltage generator; Intelligent monitoring equipment is used to monitor the speed, vibration amplitude, temperature change and lubrication status of the tube rotating anode bearing in real time, so as to match the CT high-voltage generator with the tube requirements and collect real-time data of the tube rotating anode bearing; According to the real-time data of the CT high-voltage generator and the real-time data of the tube rotating anode bearing, the real-time data of the CT high-voltage generator and the tube rotating anode bearing are determined.

[0023] In this embodiment, the real-time data of the CT high-voltage generator and the tube rotating anode bearing are processed, including: Clean the real-time data of the CT high-voltage generator and the rotating anode bearing of the tube to remove the noise data that is of no value to the health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube; Check the real-time data of the CT high-voltage generator and the tube rotating anode bearing one by one to determine the integrity of the real-time data of the CT high-voltage generator and the tube rotating anode bearing, and identify missing values and abnormal values in the real-time data of the CT high-voltage generator and the tube rotating anode bearing; Evaluate the identified missing values and outliers to determine whether they are valuable for health monitoring of CT high-voltage generators and tube rotating anode bearings; If there is value, the missing values and outliers are processed, wherein the missing values are filled and the outliers are corrected; otherwise, the missing values and outliers are deleted.

[0024] In this embodiment, the real-time data of the CT high-voltage generator and the tube rotating anode bearing are processed, and the following steps are also included: Normalize the real-time data of the CT high-voltage generator and the tube rotating anode bearing to convert them into a unified data format and remove the dimension differences in the real-time data of the CT high-voltage generator and the tube rotating anode bearing; Feature extraction is performed on the real-time data of CT high-voltage generator and tube rotating anode bearing. Features valuable for health monitoring of CT high-voltage generator and tube rotating anode bearing are extracted from the real-time data of CT high-voltage generator and tube rotating anode bearing, and the characteristic data of CT high-voltage generator and tube rotating anode bearing are determined.

[0025] Among them, the health analysis module is used to analyze the characteristic data of the CT high-voltage generator and the tube rotating anode bearing to determine the health monitoring results of the CT high-voltage generator and the tube rotating anode bearing.

[0026] In this embodiment, the characteristic data of the CT high voltage generator and the rotating anode bearing of the tube are analyzed to determine the health monitoring results of the CT high voltage generator and the rotating anode bearing of the tube, including: According to the health monitoring requirements of CT high-voltage generator and tube rotating anode bearing, the threshold data of CT high-voltage generator and tube rotating anode bearing are pre-set for health monitoring and analysis of CT high-voltage generator and tube rotating anode bearing; According to the threshold data of the CT high-voltage generator and the rotating anode bearing of the tube, the characteristic data of the CT high-voltage generator and the rotating anode bearing of the tube are compared and analyzed to judge the health monitoring status of the CT high-voltage generator and the rotating anode bearing of the tube, and determine the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube.

[0027] In this embodiment, judging the health monitoring status of the CT high voltage generator and the tube rotating anode bearing includes: The characteristic data of the CT high voltage generator and the rotating anode bearing of the tube were compared with the threshold data of the CT high voltage generator and the rotating anode bearing of the tube one by one to analyze the health status of the CT high voltage generator and the rotating anode bearing of the tube; When the characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing are within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing, the health monitoring result of the CT high voltage generator and the spherical tube rotating anode bearing is that there is no health monitoring abnormality of the CT high voltage generator and the spherical tube rotating anode bearing; When the characteristic data of the CT high voltage generator and the tube rotating anode bearing is not within the threshold data range of the CT high voltage generator and the tube rotating anode bearing, the health monitoring result of the CT high voltage generator and the tube rotating anode bearing is that there is a health monitoring abnormality in the CT high voltage generator and the tube rotating anode bearing.

[0028] Among them, the health management module is used to manage the health of the CT high-voltage generator and the tube rotating anode bearing, forming a health monitoring closed-loop management of the CT high-voltage generator and the tube rotating anode bearing.

[0029] Specifically, when the characteristic data of the CT high voltage generator and the tube rotating anode bearing is not within the threshold data range of the CT high voltage generator and the tube rotating anode bearing, adjusting the data acquisition frequency thereof includes: When the CT high voltage generator and the tube rotating anode bearing characteristic data are not within the CT high voltage generator and the tube rotating anode bearing threshold data range, extracting the upper limit value and the lower limit value corresponding to the CT high voltage generator and the tube rotating anode bearing characteristic data and the corresponding tube rotating anode bearing threshold data range; The upper limit value and the lower limit value corresponding to the threshold data range of the tube rotating anode bearing are retrieved as the target limit value, which is closest to the characteristic data of the CT high voltage generator and the tube rotating anode bearing; performing difference processing on the characteristic data of the CT high voltage generator and the rotating anode bearing of the bulb tube and the target limit value, and obtaining the difference between the characteristic data of the CT high voltage generator and the rotating anode bearing of the bulb tube and the target limit value as a first difference value; performing difference processing on the upper limit value and the lower limit value of the data range of the CT high voltage generator and the rotating anode bearing threshold value, and obtaining the difference between the upper limit value and the lower limit value of the data range of the CT high voltage generator and the rotating anode bearing threshold value as a second difference value; Performing ratio processing on the first difference and the second difference to obtain a first ratio coefficient between the first difference and the second difference; The characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing that are not within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing are used as target data; Retrieve the data span corresponding to the maximum fluctuation of the target data; Performing a ratio processing on the data span corresponding to the maximum data fluctuation of the target data and the second difference to obtain a second ratio coefficient; comparing the first ratio coefficient and the second ratio coefficient; When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, the data acquisition frequency of the target data is adjusted.

[0030] The technical effect of the above technical solution is as follows: the first difference is the difference between the characteristic data of the CT high-voltage generator and the rotating anode bearing of the bulb and the target limit, reflecting the specific amount by which the current characteristic data deviates from the corresponding threshold range boundary. The second difference is the difference between the upper and lower limits of the threshold data range, representing the width of the entire threshold range. By ratioing the first difference with the second difference to obtain a first ratio coefficient, the absolute difference in the characteristic data's deviation from the threshold is converted into a relative ratio, thereby measuring the degree of deviation of the characteristic data within the threshold range. For example, a first ratio coefficient of 0.5 indicates that the degree to which the characteristic data deviates from the target limit is half the width of the threshold range. This relative measurement method more intuitively reflects the relationship between the characteristic data and the threshold range, is not affected by the specific data size and unit, and facilitates unified analysis and comparison under different operating conditions and equipment parameters. The first ratio coefficient reflects the relative degree to which the current characteristic data deviates from the threshold range, while the second ratio coefficient is the ratio of the data span corresponding to the maximum data fluctuation of the target data to the second difference, reflecting the magnitude of the target data's own fluctuation relative to the threshold range. By comparing the difference between these two ratio coefficients, we can comprehensively evaluate the degree of deviation and fluctuation of the characteristic data. When the difference between the first ratio coefficient and the second ratio coefficient exceeds the preset difference threshold, it means that the characteristic data has not only deviated from the threshold range, but also that the degree of deviation is significantly different from its own fluctuation. This means that the operating status of the equipment may have undergone abnormal changes and is no longer within the normal fluctuation range. For example, if the first ratio coefficient is large, it means that the characteristic data deviates more from the threshold range; while the second ratio coefficient is small, it means that the overall fluctuation of the target data is relatively small. At this time, the difference between the two is large, which indicates that the current deviation is not caused by normal fluctuations, but that other factors may have caused the equipment status to change. Therefore, it is necessary to adjust the data collection frequency to monitor the equipment status more closely and detect potential problems in a timely manner.

[0031] By calculating and comparing various differences and ratios, it's possible to more accurately determine whether characteristic data fluctuates abnormally, avoiding potential misjudgments or missed detections based solely on a single threshold, and improving the accuracy of identifying abnormal device conditions. Dynamically adjusting the data collection frequency based on the relationship between characteristic data and thresholds makes data collection more targeted and effective. When the device's operating status fluctuates abnormally, increasing the data collection frequency provides more detailed information, facilitating in-depth analysis of device issues. When the device's operating status is relatively stable, maintaining a lower data collection frequency reduces the burden of data storage and processing, improving system efficiency. The data collection frequency automatically adjusts based on the relationship between characteristic data and threshold data, enabling adaptive monitoring of the device's operating status. When the device's operating status fluctuates significantly, the collection frequency automatically increases to capture details of the status change. When the device's operating status is relatively stable, the collection frequency automatically decreases to avoid unnecessary data collection and processing, ensuring that the data collection frequency aligns with the device's actual operating conditions. Properly adjusting the data collection frequency helps improve the quality of collected data. Increasing the acquisition frequency when needed can obtain richer and more accurate data, reduce the possibility of data loss or distortion, and provide more reliable data support for subsequent equipment status analysis and fault diagnosis, thereby better ensuring the normal operation and imaging quality of CT equipment.

[0032] Specifically, when the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, the data collection frequency of the target data is adjusted, including: When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, calling the current data collection frequency of the target data; Retrieve the data collection frequency corresponding to the target data and adjust the historical data; When the current data collection frequency of the target data is the first data collection frequency adjustment, a normalization process is performed using the difference between the first ratio coefficient and the second ratio coefficient to obtain a normalized difference parameter; The current data collection frequency of the target data is adjusted using the normalized difference parameters; The adjusted data collection frequency is obtained through the following formula:

[0033] Among them, F t represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; δ represents the difference parameter after normalization; specifically, the formula calculates F by multiplying (1+δ) by F0 t1 represents maintaining the original acquisition frequency basis, and δ is the proportional factor that increases or decreases on the original basis, effectively and appropriately increasing the acquisition frequency.

[0034] When the current data acquisition frequency of the target data is not the first data acquisition frequency adjustment, the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter are retrieved; Adjusting the current data acquisition frequency of the target data by using the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter; The adjusted data collection frequency is obtained through the following formula:

[0035] Where Ft represents the adjusted data collection frequency; F0 represents the data collection frequency before adjustment; δi represents the normalized difference between the first and second ratio coefficients corresponding to the i-th data collection frequency adjustment; and fci represents the normalized frequency difference between the pre- and post-frequency adjustment corresponding to the i-th data collection frequency adjustment. Specifically, the numerator |fci−δi| calculates the absolute value of the difference between each frequency adjustment difference fci and the corresponding ratio coefficient difference δi. This step analyzes the difference between the actual adjustment amplitude and the degree of fluctuation in device status during each adjustment. The denominator fci compares this difference with the frequency adjustment amplitude for each adjustment, performing a normalization process to make the differences between adjustments comparable and eliminate the influence of absolute value differences in adjustment amplitudes. Summing these ratios from the first to the nth adjustment comprehensively assesses the degree of matching between the frequency adjustment amplitude and device status changes over each adjustment. Divide the above sum by the number of adjustments n to obtain the average value of the degree of matching between the frequency adjustment amplitude and the equipment status change in all previous adjustments. This is used to comprehensively measure the relationship between historical adjustment operations and equipment status changes, and to grasp the rationality of past adjustments from a macro perspective.

[0036] The technical effect of the above technical solution is as follows: when the current data collection frequency of the target data is the first data collection frequency adjustment, the difference between the first ratio coefficient and the second ratio coefficient is normalized to obtain a normalized difference parameter. The normalization process is to map the difference to a specific range to make it comparable and operational. This normalized difference parameter reflects the relative relationship between the degree of deviation and fluctuation of the current feature data and the preset threshold. Using this difference parameter to adjust the current data collection frequency of the target data is to directly change the data collection frequency based on the difference between the current device operating status and the threshold range. For example, if the difference parameter is large, it means that the current feature data deviates from the threshold range and the fluctuation is abnormal. In this case, the data collection frequency is increased significantly accordingly to more closely monitor the device status. Conversely, if the difference parameter is small, the data collection frequency can be adjusted slightly to ensure that changes in the device status can be monitored while avoiding excessive data collection. When the current data acquisition frequency of the target data is not the first data acquisition frequency adjustment, the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter are retrieved. These historical data contain empirical information on the adjustment of data acquisition frequency when the operating status of the equipment has changed in the past. By analyzing the relationship between these historical frequency differences and the corresponding ratio coefficient differences, we can understand the effects and patterns of data acquisition frequency adjustments under different conditions in the past. Then, the current frequency difference and ratio coefficient difference are used, combined with historical experience, to adjust the current data acquisition frequency of the target data. In this way, the data acquisition frequency can be adjusted more reasonably according to the changing trend of the equipment operating status and historical adjustment experience, so that it is more in line with the actual operating needs of the equipment, and the pertinence and effectiveness of data acquisition can be improved.

[0037] By considering whether the target data's current data collection frequency is being adjusted for the first time and adjusting the frequency based on relevant parameters in different scenarios, the data collection frequency can be more accurately optimized based on changes in the device's operating status. This approach avoids the data redundancy or insufficiency that can result from fixed-frequency acquisition, improving data collection efficiency and quality. The collected data more accurately reflects the device's actual operating conditions, facilitating more precise monitoring of the CT high-voltage generator and the rotating anode bearings in the tube. This solution adaptively adjusts the data collection frequency based on historical data and current parameters. Different strategies are employed for initial and non-initial adjustments, leveraging historical adjustment information and current differential parameters. This allows the data collection frequency to be dynamically optimized as the device's operating status changes, enhancing the system's adaptability to diverse operating conditions and improving overall system stability and reliability. More appropriate data collection frequency adjustment helps capture subtle changes in device operation. When abnormal trends in device status emerge, adjusting the data collection frequency can provide more detailed information, enabling early detection of potential faults, improving fault warning capabilities, reducing equipment downtime, lowering maintenance costs, and ensuring the normal operation of the CT device.

[0038] In this embodiment, health management is performed on the CT high voltage generator and the tube rotating anode bearing, including: Based on the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube, find the cause of the abnormal health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube, locate the abnormality, and determine the location and cause of the abnormality; Formulate health management plans for CT high-voltage generators and tube rotating anode bearings in a timely manner based on the location and cause of abnormalities in the CT high-voltage generators and tube rotating anode bearings; According to the health management plan for CT high voltage generator and tube rotating anode bearing, the abnormal location of CT high voltage generator and tube rotating anode bearing is maintained in time, and the cause of the abnormality of CT high voltage generator and tube rotating anode bearing is eliminated to ensure the normal operation of CT high voltage generator and tube rotating anode bearing.

[0039] In this embodiment, a closed-loop health monitoring management system for the CT high-voltage generator and the rotating anode bearing of the tube is formed, including: Real-time monitoring is performed on the CT high-voltage generator and the tube rotating anode bearing after health management to determine whether there are abnormal behaviors in the operation of the CT high-voltage generator and the tube rotating anode bearing after health management, and the health management plan of the CT high-voltage generator and the tube rotating anode bearing is adjusted according to the real-time monitoring feedback to form a closed-loop management of the health monitoring of the CT high-voltage generator and the tube rotating anode bearing.

[0040] In summary, the health of the CT high-voltage generator and the tube rotating anode bearing can be monitored in real time, abnormal conditions of the CT high-voltage generator and the tube rotating anode bearing can be discovered in time, and the abnormal conditions can be managed in time, which can improve the use effect of the CT high-voltage generator and the tube rotating anode bearing and improve the operation efficiency of the whole machine.

[0041] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0042] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. CT high voltage generator and tube rotating anode bearing health monitoring system, characterized by: include: A monitoring and processing module is configured to collect and process real-time data of the CT high-voltage generator and the tube rotating anode bearing, and determine characteristic data of the CT high-voltage generator and the tube rotating anode bearing; A health analysis module is configured to analyze characteristic data of the CT high voltage generator and the tube rotating anode bearing to determine health monitoring results of the CT high voltage generator and the tube rotating anode bearing; The health management module is configured to perform health management on the CT high voltage generator and the tube rotating anode bearing, thereby forming a closed-loop health monitoring management system for the CT high voltage generator and the tube rotating anode bearing.

2. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 1, characterized in that: Collect real-time data of CT high-voltage generator and tube rotating anode bearing, including: Intelligent monitoring equipment is used to monitor the tube voltage, tube current, tube voltage fluctuation rate, tube current ripple coefficient, and dynamic response time output by the CT high-voltage generator in real time, so as to match the CT high-voltage generator with the tube requirements and collect real-time data of the CT high-voltage generator; Intelligent monitoring equipment is used to monitor the speed, vibration amplitude, temperature change and lubrication status of the tube rotating anode bearing in real time, so as to match the CT high-voltage generator with the tube requirements and collect real-time data of the tube rotating anode bearing; According to the real-time data of the CT high-voltage generator and the real-time data of the tube rotating anode bearing, the real-time data of the CT high-voltage generator and the tube rotating anode bearing are determined.

3. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 2, characterized in that: Processing of real-time data of CT high voltage generator and tube rotating anode bearing, including: Clean the real-time data of the CT high-voltage generator and the rotating anode bearing of the tube to remove the noise data that is of no value to the health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube; Check the real-time data of the CT high-voltage generator and the tube rotating anode bearing one by one to determine the integrity of the real-time data of the CT high-voltage generator and the tube rotating anode bearing, and identify missing values and abnormal values in the real-time data of the CT high-voltage generator and the tube rotating anode bearing; Evaluate the identified missing values and outliers to determine whether they are valuable for health monitoring of CT high-voltage generators and tube rotating anode bearings; If there is value, the missing values and outliers are processed, wherein the missing values are filled and the outliers are corrected; otherwise, the missing values and outliers are deleted.

4. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 3, characterized in that: Processing of real-time data of CT high voltage generator and tube rotating anode bearing, including: Normalize the real-time data of the CT high-voltage generator and the tube rotating anode bearing to convert them into a unified data format and remove the dimension differences in the real-time data of the CT high-voltage generator and the tube rotating anode bearing; Feature extraction is performed on the real-time data of CT high-voltage generator and tube rotating anode bearing. Features valuable for health monitoring of CT high-voltage generator and tube rotating anode bearing are extracted from the real-time data of CT high-voltage generator and tube rotating anode bearing, and the characteristic data of CT high-voltage generator and tube rotating anode bearing are determined.

5. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 4, characterized in that: Analyze the characteristic data of the CT high-voltage generator and the rotating anode bearing of the tube to determine the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube, including: According to the health monitoring requirements of CT high-voltage generator and tube rotating anode bearing, the threshold data of CT high-voltage generator and tube rotating anode bearing are pre-set for health monitoring and analysis of CT high-voltage generator and tube rotating anode bearing; According to the threshold data of the CT high-voltage generator and the rotating anode bearing of the tube, the characteristic data of the CT high-voltage generator and the rotating anode bearing of the tube are compared and analyzed to judge the health monitoring status of the CT high-voltage generator and the rotating anode bearing of the tube, and determine the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube.

6. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 5, characterized in that: Determine the health monitoring status of the CT high voltage generator and the tube rotating anode bearing, including: The characteristic data of the CT high voltage generator and the rotating anode bearing of the tube were compared with the threshold data of the CT high voltage generator and the rotating anode bearing of the tube one by one to analyze the health status of the CT high voltage generator and the rotating anode bearing of the tube; When the characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing are within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing, the health monitoring result of the CT high voltage generator and the spherical tube rotating anode bearing is that there is no health monitoring abnormality of the CT high voltage generator and the spherical tube rotating anode bearing; When the characteristic data of the CT high-voltage generator and the rotating anode bearing of the CT tube is not within the threshold data range of the CT high-voltage generator and the rotating anode bearing of the CT tube, the health monitoring result of the CT high-voltage generator and the rotating anode bearing of the CT tube is that there is a health monitoring abnormality in the CT high-voltage generator and the rotating anode bearing of the CT tube (it is recommended to perform algorithm mining on the health monitoring judgment of the CT high-voltage generator and the rotating anode bearing of the CT tube).

7. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 6, characterized in that: When the characteristic data of the CT high voltage generator and the tube rotating anode bearing are not within the threshold data range of the CT high voltage generator and the tube rotating anode bearing, the data acquisition frequency is adjusted, including: When the CT high voltage generator and the tube rotating anode bearing characteristic data are not within the CT high voltage generator and the tube rotating anode bearing threshold data range, extracting the upper limit value and the lower limit value corresponding to the CT high voltage generator and the tube rotating anode bearing characteristic data and the corresponding tube rotating anode bearing threshold data range; The upper limit value and the lower limit value corresponding to the threshold data range of the tube rotating anode bearing are retrieved as the target limit value, which is closest to the characteristic data of the CT high voltage generator and the tube rotating anode bearing; performing difference processing on the characteristic data of the CT high voltage generator and the rotating anode bearing of the bulb tube and the target limit value, and obtaining the difference between the characteristic data of the CT high voltage generator and the rotating anode bearing of the bulb tube and the target limit value as a first difference value; performing difference processing on the upper limit value and the lower limit value of the data range of the CT high voltage generator and the rotating anode bearing threshold value, and obtaining the difference between the upper limit value and the lower limit value of the data range of the CT high voltage generator and the rotating anode bearing threshold value as a second difference value; Performing ratio processing on the first difference and the second difference to obtain a first ratio coefficient between the first difference and the second difference; The characteristic data of the CT high voltage generator and the spherical tube rotating anode bearing that are not within the threshold data range of the CT high voltage generator and the spherical tube rotating anode bearing are used as target data; Retrieve the data span corresponding to the maximum fluctuation of the target data; Performing a ratio processing on the data span corresponding to the maximum data fluctuation of the target data and the second difference to obtain a second ratio coefficient; comparing the first ratio coefficient and the second ratio coefficient; When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, the data acquisition frequency of the target data is adjusted.

8. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 7, characterized in that: When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, the data acquisition frequency of the target data is adjusted, including: When the difference between the first ratio coefficient and the second ratio coefficient exceeds a preset difference threshold, calling the current data collection frequency of the target data; Retrieve the data collection frequency corresponding to the target data and adjust the historical data; When the current data collection frequency of the target data is the first data collection frequency adjustment, a normalization process is performed using the difference between the first ratio coefficient and the second ratio coefficient to obtain a normalized difference parameter; When the current data acquisition frequency of the target data is not the first data acquisition frequency adjustment, the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter are retrieved; The current data acquisition frequency of the target data is adjusted using the frequency difference between the frequency before and after the frequency adjustment corresponding to each data acquisition frequency adjustment and the difference between the first ratio coefficient and the second ratio coefficient corresponding to the target parameter.

9. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 6, characterized in that: Health management of CT high voltage generator and tube rotating anode bearings, including: Based on the health monitoring results of the CT high-voltage generator and the rotating anode bearing of the tube, find the cause of the abnormal health monitoring of the CT high-voltage generator and the rotating anode bearing of the tube, locate the abnormality, and determine the location and cause of the abnormality; Formulate health management plans for CT high-voltage generators and tube rotating anode bearings in a timely manner based on the location and cause of abnormalities in the CT high-voltage generators and tube rotating anode bearings; According to the health management plan for CT high voltage generator and tube rotating anode bearing, the abnormal location of CT high voltage generator and tube rotating anode bearing is maintained in time, and the cause of the abnormality of CT high voltage generator and tube rotating anode bearing is eliminated to ensure the normal operation of CT high voltage generator and tube rotating anode bearing.

10. The CT high voltage generator and tube rotating anode bearing health monitoring system according to claim 9, characterized in that: Form a closed-loop health monitoring management system for the CT high-voltage generator and the rotating anode bearing of the tube, including: Real-time monitoring is performed on the CT high-voltage generator and the tube rotating anode bearing after health management to determine whether there are abnormal behaviors in the operation of the CT high-voltage generator and the tube rotating anode bearing after health management, and the health management plan of the CT high-voltage generator and the tube rotating anode bearing is adjusted according to the real-time monitoring feedback to form a closed-loop management of the health monitoring of the CT high-voltage generator and the tube rotating anode bearing.

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