System for automatically calibrating beam parameters of accelerator and monitoring long-term stability

Abstract

The invention relates to the technical field of medical instruments, and discloses an accelerator beam parameter automatic calibration and long-term stability monitoring system, which comprises a standard beam calibration unit for providing a beam parameter calibration reference and taking preset reference beam energy, dose rate, field flatness and symmetry parameters of an accelerator as calibration references; the beam diagnosis sensing module is used for collecting multi-dimensional beam parameters in the operation process of the accelerator; and the beam parameter acquisition device is in communication connection with the beam diagnosis sensing module so as to receive and process the beam parameters. By constructing an integrated rigid linkage system of a standard beam calibration unit, a beam parameter acquisition device, a stability monitoring platform and a regulation and control execution unit, the technical bottleneck that beam parameter calibration and stability monitoring of a traditional accelerator are independent in steps and weak in linkage is broken, and correlation adjustment of beam parameter deviation and acquisition frequency is achieved.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to an automatic calibration and long-term stability monitoring system for accelerator beam parameters. Background Technology

[0002] In fields such as medicine and scientific research, the accuracy and long-term stability of accelerator beam parameters are crucial to clinical treatment outcomes and scientific experimental results. However, current technologies still face numerous bottlenecks in beam parameter control, severely limiting their efficiency and accuracy. First, beam parameter calibration and stability monitoring often adopt a separate "calibration-monitoring" model, resulting in weak linkage between the calibration unit and the stability monitoring platform. This makes it impossible to dynamically optimize monitoring thresholds based on real-time calibration results, and the beam parameter acquisition frequency remains fixed, unable to be flexibly adjusted according to the degree of parameter deviation, leading to a lag in response to parameter fluctuations. Secondly, in terms of beam diagnostic sensing, single-type or simple combination sensors are mostly used. It is difficult to achieve parallel and accurate acquisition of multi-dimensional beam parameters such as energy, dose rate, field flatness and symmetry. Moreover, the lack of synchronization mechanism for the acquisition time of each sensor leads to poor correlation of multi-parameter data, which cannot provide reliable support for subsequent analysis. Secondly, there is a lack of multi-parameter cross-validation and anomaly root cause tracing mechanisms. Relying solely on a single-dimensional parameter to judge stability is prone to "false positives and false negatives" regarding parameter fluctuations, and it is impossible to accurately pinpoint whether the source of the fluctuation is an equipment malfunction, increasing the difficulty of operation and maintenance troubleshooting. Finally, the entire process control relies on manual intervention. From calibration result judgment and parameter adjustment to stability verification, all require human participation in decision-making, making it difficult to form an automated closed-loop management of "calibration-monitoring-adjustment-verification". This not only increases the cost of manual operation and maintenance, but also fails to meet the high requirements of long-term beam parameter stability in clinical treatment or scientific research experiments.

[0003] To address these issues, those skilled in the art have proposed a solution for an automatic calibration and long-term stability monitoring system for accelerator beam parameters. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an automatic calibration and long-term stability monitoring system for accelerator beam parameters, which solves the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a system for automatic calibration and long-term stability monitoring of accelerator beam parameters, comprising: The standard beam calibration unit is used to provide a calibration benchmark for beam parameters, using the accelerator's preset benchmark beam energy, dose rate, field flatness, and symmetry parameters as calibration references. The beam diagnostic sensing module is used to collect multi-dimensional beam parameters during accelerator operation; A beam parameter acquisition device is communicatively connected to the beam diagnostic sensing module to receive and process the beam parameters; The stability monitoring platform is used to monitor the stability of beam parameters in real time during accelerator operation. The control and execution unit is used to correct the accelerator's operating parameters based on beam parameter deviations; The data processing bus establishes rigid linkage communication links with the standard beam calibration unit, beam parameter acquisition device, stability monitoring platform and control execution unit respectively, and constructs an integrated "calibration-monitoring-control" system. The standard beam calibration unit and the beam parameter acquisition device are linked to adjust the beam parameter deviation and the acquisition frequency. The beam parameter acquisition device and the stability monitoring platform are linked through the data processing bus to optimize the monitoring threshold in real time based on the initial calibration result. The stability monitoring platform and the control execution unit are linked through an anomaly identification and control triggering mechanism to automatically control the beam parameters when they are abnormal.

[0006] Through the above technical solution, in this system, the standard beam calibration unit uses the accelerator's own preset reference beam energy, dose rate, field flatness, and symmetry parameters as calibration references, effectively avoiding the problem of poor matching between traditional external calibration benchmarks and the actual accelerator beam, and providing accurate and suitable benchmarks for beam parameter calibration; the beam diagnostic sensing module collects multi-dimensional beam parameters, and the beam parameter acquisition device receives and processes the collected parameters, providing a regular and reliable data source for stability monitoring; the data processing bus establishes a rigid linkage communication link between the standard beam calibration unit, the beam parameter acquisition device, the stability monitoring platform, and the control execution unit, successfully constructing an integrated "calibration-monitoring-control" system, breaking the traditional "calibration-monitoring-control" problem in accelerator beam parameter management. The technical bottleneck of "independent and weak linkage between monitoring and control" has been overcome. Among them, the correlation adjustment between the standard beam calibration unit and the beam parameter acquisition device can dynamically adjust the acquisition frequency according to the beam parameter deviation, improving the timeliness of parameter change capture. The real-time optimization of the monitoring threshold between the beam parameter acquisition device and the stability monitoring platform based on the initial calibration results can enhance the accuracy of stability monitoring. The abnormal linkage between the stability monitoring platform and the control execution unit can realize automatic control when beam parameters are abnormal, reducing the cost of manual intervention. Overall, the accuracy of beam parameter calibration, the real-time performance of stability monitoring, and the automation level of parameter control are significantly improved, which can effectively ensure the long-term accuracy and stability of beam parameters during accelerator operation and meet the high requirements of medical, scientific research and other fields for accelerator beam parameter control.

[0007] Preferably, the linkage structure between the standard beam calibration unit and the beam parameter acquisition device is a linkage valve for parameter deviation and acquisition frequency. The linkage valve for parameter deviation and acquisition frequency is configured such that: when the beam parameter acquisition device detects that the deviation between the beam parameter and the calibration reference provided by the standard beam calibration unit exceeds a preset threshold, it automatically increases the parameter acquisition frequency of the beam diagnostic sensing module; when the deviation falls back to within the preset threshold, it automatically restores the acquisition frequency to the set initial frequency.

[0008] The above technical solution dynamically adjusts the acquisition frequency of the beam diagnostic sensing module based on the deviation between the actual beam parameters detected by the beam parameter acquisition device and the calibration reference. When the deviation exceeds a preset threshold, the acquisition frequency is automatically increased to accurately and promptly capture parameter fluctuations. When the deviation falls back within the threshold, the initial acquisition frequency is automatically restored to avoid redundant resource consumption. This ensures both the timeliness and accuracy of monitoring abnormal changes in beam parameters while also considering the economic efficiency of system operation, providing efficient data acquisition support for subsequent stable monitoring and precise control of beam parameters.

[0009] Preferably, the beam diagnostic sensing module includes at least three types of beam parameter detection sensors to achieve parallel acquisition of multi-dimensional beam parameters. Among them, at least one sensor is an ionization chamber sensor for detecting beam current intensity or dose rate, at least one sensor is a magnetic spectrometer sensor for detecting beam energy, and at least one sensor is a sensor for detecting beam spot size, field flatness, or field symmetry. Each of the sensors establishes a synchronous communication link with the beam parameter acquisition device to ensure the consistency of the acquisition timing of multi-dimensional beam parameters.

[0010] The above technical solution enables parallel acquisition of multi-dimensional beam parameters, effectively covering the monitoring needs of key accelerator beam parameters. At the same time, the synchronous communication link established between each sensor and the beam parameter acquisition device ensures the temporal consistency of multi-dimensional parameter acquisition, guarantees the correlation and effectiveness between different parameter data, and provides comprehensive and reliable data source support for subsequent accurate processing of beam parameters, stability monitoring, and anomaly root cause analysis.

[0011] Preferably, the standard beam calibration unit is equipped with a calibration progress sensor. The calibration progress sensor and the historical data storage module are linked through a historical data retrieval valve. When the calibration progress sensor detects that a full parameter calibration has been completed, the historical data retrieval valve automatically retrieves the historical calibration data under the same working conditions within a preset time period from the historical data storage module.

[0012] Through the above technical solution, the calibration progress sensor in the standard beam calibration unit can monitor the completion status of full parameter calibration in real time. Its linkage with the historical data storage module through the historical data retrieval valve can automatically retrieve historical calibration data under the same working conditions within a preset time period from the historical data storage module when a full parameter calibration is detected to be completed. This enables accurate reuse of historical calibration data, providing reliable data support for subsequent steps such as beam parameter drift trend analysis and monitoring threshold optimization. It also reduces the intervention cost of manual data retrieval and improves the accuracy of monitoring the continuity and stability of beam parameter calibration.

[0013] Preferably, it also includes an anomaly cause analysis module; the beam parameter acquisition device is further configured to perform accuracy judgment on the acquired calibration data: when the deviation of a certain calibration data exceeds a preset accuracy requirement threshold, the calibration data is marked as abnormal calibration data and automatically imported into the anomaly cause analysis module. After performing root cause analysis on the abnormal calibration data, the anomaly cause analysis module outputs calibration parameter optimization suggestions and feeds them back to the standard beam calibration unit to adjust the calibration parameters or calibration interval of the standard beam calibration unit.

[0014] Through the above technical solution, when the deviation of a certain calibration data exceeds the preset accuracy requirement threshold, the device can automatically mark it as abnormal calibration data and import it into the abnormal cause analysis module. After performing root cause analysis on the abnormal calibration data, the abnormal cause analysis module outputs corresponding calibration parameter optimization suggestions and feeds them back to the standard beam calibration unit to adjust the calibration parameters or calibration interval of the standard beam calibration unit. This can effectively avoid the interference of abnormal data on the beam parameter calibration accuracy, and at the same time form a dynamic optimization mechanism for calibration parameters, further ensuring the reliability of the calibration benchmark provided by the standard beam calibration unit and improving the accuracy of beam parameter calibration of the entire system.

[0015] Preferably, it further includes a calibration result analysis unit; the calibration result analysis unit is connected to the beam parameter acquisition device and the control execution unit respectively, and is used to judge the qualification of the calibration result processed by the beam parameter acquisition device; when the calibration result is judged to meet the preset qualification standard, the calibration result analysis unit triggers the control execution unit to start the PID control algorithm, the PID control algorithm automatically calculates and outputs control commands according to the deviation between the calibration result and the preset operating parameters of the accelerator, so as to control the control execution unit to correct the operating parameters of the accelerator.

[0016] Through the above technical solution, on the one hand, the calibration results processed by the beam parameter acquisition device can be judged to ensure the reliability of the calibration results used as the basis for subsequent control; on the other hand, when the calibration results are determined to meet the preset qualification standards, the control execution unit is triggered to start the PID control algorithm. This algorithm can automatically calculate and output control commands based on the deviation between the calibration results and the preset operating parameters of the accelerator, thereby controlling the control execution unit to correct the accelerator operating parameters. This effectively realizes the automated connection between beam parameter calibration and operating parameter control, reduces the cost of manual intervention, ensures that the accelerator beam parameters are always maintained within the precise operating range, and improves the system's control efficiency and accuracy of accelerator beam parameters.

[0017] Preferably, it also includes a long-term stability verification platform; the long-term stability verification platform is electrically linked with the control execution unit. When the control execution unit completes a parameter correction, it sends a control completion signal to the long-term stability verification platform. After receiving the control completion signal, the long-term stability verification platform automatically starts monitoring the corrected beam parameters and feeds back the monitoring results to the calibration result analysis unit in real time to verify whether the long-term stability of the controlled beam parameters meets the preset requirements.

[0018] Through the above technical solution, the long-term stability verification platform establishes an electrical linkage with the control execution unit. After the control execution unit completes a parameter correction and sends a control completion signal, it can automatically start monitoring the corrected beam parameters and feed the monitoring results back to the calibration result analysis unit in real time. This accurately verifies whether the long-term stability of the controlled beam parameters meets the preset requirements, effectively ensuring the continuity and reliability of the parameter control effect.

[0019] Preferably, the stability monitoring platform is also configured to implement multi-parameter cross-validation function; when the stability monitoring platform detects that the fluctuation of a beam parameter in a certain dimension exceeds the monitoring threshold corresponding to that dimension, it automatically retrieves real-time data of beam parameters in other dimensions, and through the correlation analysis of multi-dimensional beam parameters, determines whether the source of the parameter fluctuation is an accelerator equipment anomaly, and outputs the specific analysis results of the fluctuation source.

[0020] Through the above technical solution, the multi-parameter cross-validation function of the stability monitoring platform can automatically retrieve real-time data collected from other beam parameters when a fluctuation in a certain dimension of the beam parameter exceeds the corresponding monitoring threshold. By analyzing the correlation of multi-dimensional parameters, it can determine whether the source of the fluctuation is an accelerator equipment anomaly and output specific analysis results. This effectively avoids the misjudgment and omission problems that are prone to occur in single-parameter monitoring, accurately locates the root cause of the fluctuation, provides a clear direction for subsequent equipment maintenance and beam parameter correction, and further improves the reliability and operation and maintenance efficiency of accelerator beam parameter stability monitoring.

[0021] This invention provides a system for automatic calibration and long-term stability monitoring of accelerator beam parameters. It has the following advantages: 1. This invention breaks through the technical bottleneck of traditional accelerator beam parameter calibration and stability monitoring being "step-by-step independent and with weak linkage" by constructing an integrated rigid linkage system of "standard beam calibration unit - beam parameter acquisition device - stability monitoring platform - control execution unit". It realizes the correlation adjustment of beam parameter deviation and acquisition frequency, real-time optimization of monitoring threshold based on initial calibration results, and automatic control when beam parameters are abnormal. It significantly improves the response efficiency and automation level of beam parameter calibration and stability monitoring, and provides efficient technical support for the precise control of accelerator beam parameters.

[0022] 2. This invention utilizes a beam diagnostic sensing module containing at least three types of sensors to achieve parallel and accurate acquisition of multi-dimensional beam parameters such as energy, current intensity, beam spot size, field flatness, and symmetry. Simultaneously, by combining historical data storage and retrieval, multi-parameter cross-validation, and anomaly cause analysis mechanisms, it not only solves the problem of "false positives and false negatives" that easily occur in single-parameter monitoring, but also dynamically optimizes monitoring thresholds based on historical calibration data and traces the root causes of anomalies. This effectively addresses the multi-dimensional drift characteristics of beam parameters, significantly improving the accuracy and reliability of beam parameter stability monitoring.

[0023] 3. This invention achieves full-cycle management of beam parameters from calibration to long-term stable operation without manual intervention through the closed-loop linkage of the calibration result analysis unit, the control execution unit, and the long-term stability verification platform. At the same time, the binding, storage, and reuse of historical data further support the long-term unattended and precise operation of the accelerator, significantly reducing the cost of manual operation and maintenance, and effectively ensuring the long-term stability and consistency of beam parameters in clinical treatment or scientific research experiments. Attached Figure Description

[0024] Figure 1 This is a flowchart of the monitoring and control process of the present invention; Figure 2 This is a flowchart for verifying the long-term stability of the present invention. Detailed Implementation

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0026] Please see the appendix Figure 1 - Appendix Figure 2This invention provides a system for automatic calibration and long-term stability monitoring of accelerator beam parameters, comprising: The standard beam calibration unit is used to provide a calibration benchmark for beam parameters, using the accelerator's preset benchmark beam energy, dose rate, field flatness, and symmetry parameters as calibration references. The linkage structure between the standard beam calibration unit and the beam parameter acquisition device is a linkage valve for parameter deviation and acquisition frequency. The linkage valve for parameter deviation and acquisition frequency is configured such that when the beam parameter acquisition device detects that the deviation between the beam parameter and the calibration reference provided by the standard beam calibration unit exceeds a preset threshold, it automatically increases the parameter acquisition frequency of the beam diagnostic sensing module. When the deviation falls back to within the preset threshold, it automatically restores the acquisition frequency to the set initial frequency.

[0027] Specifically, the standard beam calibration unit uses preset parameters such as reference beam energy, dose rate, field flatness, and symmetry as references to provide a benchmark for beam parameter calibration. Its "parameter deviation-acquisition frequency" linkage valve with the beam parameter acquisition device intelligently adjusts the parameter acquisition frequency of the beam diagnostic sensing module based on the deviation between the actual beam parameters detected by the acquisition device and the calibration benchmark. When the deviation exceeds a preset range, the acquisition frequency is automatically increased to more accurately capture parameter changes; when the deviation falls back to a reasonable range, the initial acquisition frequency is automatically restored. This achieves dynamic matching between beam parameter deviation and acquisition frequency, ensuring both the accuracy of parameter monitoring and system operating efficiency.

[0028] The standard beam calibration unit is equipped with a calibration progress sensor. The calibration progress sensor and the historical data storage module are linked through a historical data retrieval valve. When the calibration progress sensor detects that a full parameter calibration has been completed, the historical data retrieval valve automatically retrieves the historical calibration data under the same working conditions within a preset time period from the historical data storage module.

[0029] Specifically, the calibration progress sensor of the standard beam calibration unit detects the completion status of full parameter calibration in real time. When it detects that a full parameter calibration has been completed, it triggers the historical data retrieval valve linked to the historical data storage module, which automatically retrieves historical calibration data under the same working conditions within a preset time period from the historical data storage module. This provides historical data support for subsequent analysis of beam parameters, realizes the traceability and reuse of calibration data, and helps improve the accuracy of beam parameter calibration and stability monitoring.

[0030] The beam diagnostic sensing module is used to collect multi-dimensional beam parameters during accelerator operation; The beam diagnostic sensing module includes at least three types of beam parameter detection sensors to achieve parallel acquisition of multi-dimensional beam parameters. Among them, at least one sensor is an ionization chamber sensor for detecting beam current intensity or dose rate, at least one sensor is a magnetic spectrometer sensor for detecting beam energy, and at least one sensor is a sensor for detecting beam spot size, field flatness, or field symmetry. Each sensor establishes a synchronous communication link with the beam parameter acquisition device to ensure the consistency of the acquisition timing of multi-dimensional beam parameters.

[0031] Specifically, the beam diagnostic sensing module is equipped with at least three different types of sensors for detecting beam current or dose rate, beam energy, beam spot size or field flatness or field symmetry, respectively, to achieve parallel acquisition of multi-dimensional beam parameters during accelerator operation. The synchronous communication link established between each sensor and the beam parameter acquisition device can ensure the consistency of the acquisition timing of multi-dimensional beam parameters, providing synchronous and comprehensive multi-dimensional data support for subsequent beam parameter processing and monitoring.

[0032] The beam parameter acquisition device is communicatively connected to the beam diagnostic sensing module to receive and process beam parameters; The stability monitoring platform is used to monitor the stability of beam parameters in real time during accelerator operation. The control and execution unit is used to correct the accelerator's operating parameters based on beam parameter deviations; Specifically, the beam parameter acquisition device establishes a communication connection with the beam diagnostic sensing module, receives multi-dimensional beam parameters collected by the module, and processes these parameters to provide a regular and usable data foundation for subsequent stability monitoring. Based on the beam parameters processed by the beam parameter acquisition device, the stability monitoring platform tracks and monitors the stability of beam parameters during accelerator operation in real time, promptly capturing any fluctuations in parameters. The control and execution unit uses the beam parameter deviations identified by the stability monitoring platform as a basis to make targeted corrections to the accelerator's operating parameters. The three work together to form a coherent chain of "parameter acquisition and processing - real-time stability monitoring - deviation correction and control," providing support for the precise control of accelerator beam parameters.

[0033] The data processing bus establishes rigid linkage communication links with the standard beam calibration unit, beam parameter acquisition device, stability monitoring platform and control execution unit respectively, and constructs an integrated "calibration-monitoring-control" system; Among them, the standard beam calibration unit and the beam parameter acquisition device realize the correlation adjustment between beam parameter deviation and acquisition frequency through a linkage structure. The beam parameter acquisition device and the stability monitoring platform realize real-time optimization of monitoring threshold based on the initial calibration result through a data processing bus. The stability monitoring platform and the control execution unit realize automatic control when beam parameters are abnormal through an anomaly identification and control trigger linkage mechanism.

[0034] It also includes an anomaly cause analysis module; the beam parameter acquisition device is also configured to judge the accuracy of the acquired calibration data: when the deviation of a certain calibration data exceeds the preset accuracy requirement threshold, the calibration data is marked as abnormal calibration data and automatically imported into the anomaly cause analysis module. After the anomaly cause analysis module performs root cause analysis on the abnormal calibration data, it outputs calibration parameter optimization suggestions and feeds them back to the standard beam calibration unit to adjust the calibration parameters or calibration interval of the standard beam calibration unit.

[0035] Specifically, after receiving and processing the calibration data, the beam parameter acquisition device further judges the accuracy of the calibration data. When it identifies that the deviation of a certain calibration data exceeds the preset accuracy requirement threshold, it will automatically mark the data as abnormal calibration data and import it into the abnormal cause analysis module. The abnormal cause analysis module will conduct a root cause analysis on the abnormal calibration data, identify the cause of the data abnormality, generate and output optimization suggestions for the calibration parameters, and feed the suggestions back to the standard beam calibration unit. The standard beam calibration unit will then adjust its own calibration parameters or calibration intervals according to the suggestions, thereby optimizing the calibration process, reducing the occurrence of subsequent calibration data abnormalities, and ensuring calibration accuracy.

[0036] It also includes a calibration result analysis unit; the calibration result analysis unit is connected to the beam parameter acquisition device and the control execution unit respectively, and is used to judge the qualification of the calibration results processed by the beam parameter acquisition device; when the calibration result is judged to meet the preset qualification standard, the calibration result analysis unit triggers the control execution unit to start the PID control algorithm. The PID control algorithm automatically calculates and outputs control commands based on the deviation between the calibration result and the preset operating parameters of the accelerator, so as to control the control execution unit to correct the operating parameters of the accelerator.

[0037] Specifically, the calibration result analysis unit establishes connections with the beam parameter acquisition device and the control execution unit respectively. It first receives the calibration results processed by the beam parameter acquisition device and performs a qualification judgment on them. When the calibration results are determined to meet the preset qualification standards, the control execution unit is triggered to start the PID control algorithm. The PID control algorithm automatically calculates and generates corresponding control commands based on the deviation between the calibration results and the preset operating parameters of the accelerator. This commands then control the control execution unit to make targeted corrections to the operating parameters of the accelerator, thereby achieving an orderly connection from calibration result verification to accelerator parameter optimization and ensuring the accuracy of the accelerator beam parameters.

[0038] The PID control algorithm uses the following formula:

[0039] in, for The PID controller outputs at all times. This is the initial reference output value of the system. This is the proportionality coefficient. for Time-based system deviation The integral time constant is... is the differential time constant.

[0040] It also includes a long-term stability verification platform; the long-term stability verification platform establishes an electrical linkage with the control execution unit. When the control execution unit completes a parameter correction, it sends a control completion signal to the long-term stability verification platform. After receiving the control completion signal, the long-term stability verification platform automatically starts monitoring the corrected beam parameters and feeds back the monitoring results to the calibration result analysis unit in real time to verify whether the long-term stability of the controlled beam parameters meets the preset requirements.

[0041] Specifically, the long-term stability verification platform establishes an electrical linkage with the control execution unit. The core logic is as follows: after the control execution unit completes a correction of the accelerator operating parameters, it will actively send a control completion signal to the long-term stability verification platform. Upon receiving this signal, the long-term stability verification platform can automatically start the monitoring process of the corrected beam parameters without manual intervention, and at the same time feed back the real-time monitored parameter results to the calibration result analysis unit. Through this linkage mechanism, the long-term stability of the controlled beam parameters is automatically verified to determine whether it meets the preset requirements, thereby ensuring the continuous and accurate operation of the accelerator beam parameters.

[0042] The stability monitoring platform is also configured to implement multi-parameter cross-validation. When the stability monitoring platform detects that the fluctuation of a beam parameter in a certain dimension exceeds the monitoring threshold corresponding to that dimension, it automatically retrieves real-time data of beam parameters in other dimensions. Through the correlation analysis of multi-dimensional beam parameters, it determines whether the source of the fluctuation of the parameter is an accelerator equipment anomaly and outputs the specific analysis results of the source of the fluctuation.

[0043] Specifically, in addition to real-time monitoring of beam parameter stability during accelerator operation, the stability monitoring platform is also equipped with a multi-parameter cross-validation function. When a beam parameter fluctuation in a certain dimension exceeds the corresponding monitoring threshold, it automatically retrieves real-time data from other dimensions of beam parameters. By analyzing the correlation between multi-dimensional beam parameters, it determines whether the source of the fluctuation is an accelerator equipment anomaly and outputs the specific analysis results of the fluctuation source. At the same time, after the control execution unit completes the correction of the accelerator operating parameters, it further verifies the long-term stability of the corrected beam parameters to confirm whether they meet the preset requirements. This forms a coherent guarantee for beam parameter "anomaly identification - root cause judgment - control verification," ensuring the stability and reliability of the accelerator beam parameters.

[0044] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An accelerator beam parameter auto-calibration and long-term stability monitoring system, comprising: The application relates to a standard beam calibration unit for providing a beam parameter calibration reference, a beam diagnosis sensing module for collecting multi-dimensional beam parameters during accelerator operation, a beam parameter collection device in communication connection with the beam diagnosis sensing module to receive and process the beam parameters, a stability monitoring platform for real-time monitoring of beam parameter stability during accelerator operation, a regulation and control execution unit for correcting the operation parameters of the accelerator according to beam parameter deviation, a data processing bus in rigid linkage communication link with the standard beam calibration unit, the beam parameter collection device, the stability monitoring platform and the regulation and control execution unit to build an integrated "calibration-monitoring-regulation and control" system. The linkage structure between the standard beam calibration unit and the beam parameter collection device is a parameter deviation and collection frequency linkage valve which is configured to automatically increase the parameter collection frequency of the beam diagnosis sensing module when the beam parameter collection device detects that the deviation between the beam parameters and the calibration reference provided by the standard beam calibration unit exceeds a preset threshold, and to automatically restore the collection frequency to the set initial frequency when the deviation falls within the preset threshold. The beam diagnosis sensing module comprises at least three types of beam parameter detection sensors to realize parallel collection of multi-dimensional beam parameters, wherein at least one sensor is an ionization chamber sensor for detecting beam current or dose rate, at least one sensor is a magnetic spectrometer sensor for detecting beam energy, and at least one sensor is a sensor for detecting beam spot size, field flatness or field symmetry; each of the sensors is in synchronous communication link with the beam parameter collection device to ensure the consistency of the collection time sequence of multi-dimensional beam parameters. The standard beam calibration unit is provided with a calibration progress sensor which is in linkage with a historical data calling valve and a historical data storage module; when the calibration progress sensor detects that a full parameter calibration is completed, the historical data calling valve automatically calls the historical calibration data of the same working condition in a preset period in the historical data storage module. ​ ​ ​ ​ 2. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 1, characterized in that, ​ 3. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 1, characterized in that, ​ 4. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 1, characterized in that, ​ 5. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 4, characterized in that, The abnormality cause analysis module is further included; the beam parameter acquisition device is further configured to judge the precision of the collected calibration data; when the deviation of a certain calibration data exceeds the preset precision requirement threshold, the calibration data is marked as abnormal calibration data, and is automatically imported into the abnormality cause analysis module; the abnormality cause analysis module analyzes the root cause of the abnormal calibration data, outputs calibration parameter optimization suggestions, and feeds back to the standard beam calibration unit to adjust the calibration parameters or calibration interval of the standard beam calibration unit.

6. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 1, characterized in that, The calibration result analysis unit is further included; the calibration result analysis unit is connected with the beam parameter acquisition device and the control execution unit respectively, and is used for judging the qualification of the calibration result processed by the beam parameter acquisition device. When it is judged that the calibration result meets the preset qualification standard, the calibration result analysis unit triggers the control execution unit to start the PID control algorithm; the PID control algorithm automatically calculates and outputs control instructions according to the deviation between the calibration result and the preset operation parameter of the accelerator, so as to control the control execution unit to correct the operation parameter of the accelerator.

7. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 1, characterized in that, The long-term stability verification platform is further included; the long-term stability verification platform is electrically connected with the control execution unit; when the control execution unit completes a parameter correction, a control completion signal is sent to the long-term stability verification platform; after receiving the control completion signal, the long-term stability verification platform automatically starts monitoring the corrected beam parameter, and feeds back the monitoring result to the calibration result analysis unit in real time, so as to verify whether the long-term stability of the beam parameter after control meets the preset requirement.

8. A system for automatic accelerator beam parameter calibration and long-term stability monitoring according to claim 3, characterized in that, The stability monitoring platform is further configured to realize the multi-parameter cross verification function; when the stability monitoring platform detects that the fluctuation of a certain dimension beam parameter exceeds the monitoring threshold corresponding to the dimension, the real-time acquisition data of the beam parameter of other dimensions is automatically called, the correlation of multi-dimensional beam parameters is analyzed, whether the source of the parameter fluctuation is the abnormality of the accelerator equipment is judged, and the specific analysis result of the fluctuation source is output.

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