Real-time monitoring system for electron accelerator

Abstract

The invention relates to the field of sterilization and sterilization technologies, in particular to an electron accelerator real-time monitoring system which comprises an edge calculation module, a monitoring and metering module, an instruction generation module and an instruction execution module. The monitoring and metering module comprises multiple types of sensors and is used for acquiring the operating environment temperature, the radiation intensity and the vacuum degree of an internal related system in real time; a chip and a communication module are integrated in the edge computing module, the edge computing module is connected with the monitoring and metering module, an edge algorithm framework is arranged in the edge computing module, a cloud computing platform is built, data of the monitoring and metering module are received in real time, calculation, analysis and processing are carried out, and a result is sent to the instruction generation module; the instruction generation module operates a related instruction file according to a calculation result of the edge calculation module, generates a control instruction and sends the control instruction to the instruction execution module; and the instruction execution module changes the operation states of an electron gun and an accelerating tube of the electron accelerator. The method has the effect of improving the accuracy and reliability of the electron accelerator monitoring system.

Description

Technical Field

[0001] The present application relates to the field of sterilization and disinfection technology, and in particular to a real-time monitoring system for an electron accelerator. Background Art

[0002] An electron accelerator is an electromagnetic device that uses artificial methods to control electrons in a vacuum under magnetic field force and electric field force to accelerate them to release high-energy particle beams. Because the high-energy electron beams it produces can penetrate microbial cells through ionizing radiation and destroy the DNA and cell structure of microorganisms, they are now used in the field of sterilization and disinfection.

[0003] To ensure the safe, efficient and stable operation of the equipment, electron accelerators need to be equipped with monitoring systems. However, existing electron accelerators are usually large in size and have complex system architectures. The control system of an electron accelerator usually contains multiple subsystems, such as beam control system, vacuum system, power system, and monitoring system. These subsystems require complex coordination and communication, which makes the computing power allocated by the control system to the monitoring subsystem to upload data very limited, resulting in a long response time.

[0004] To address this, the monitoring system of the electron accelerator can be external, that is, the original sub-monitoring system can be separated and have a separate data acquisition, calculation, and upload module. However, the integrated controllability of the external module is poor, and it relies on periodic manual sampling and detection by relevant personnel, or uses a relatively simple sensor network with a low monitoring frequency and is unable to detect abnormalities in a timely manner. The simple sensor network collects a limited amount of data, making it difficult to fully reflect the subtle changes in the working status of the electron accelerator, resulting in insufficient accuracy and reliability of the external monitoring system. Summary of the invention

[0005] In order to improve the accuracy and reliability of an electron accelerator monitoring system, the present invention provides an electron accelerator real-time monitoring system.

[0006] The present invention provides an electron accelerator real-time monitoring system that adopts the following technical solutions: An electronic accelerator real-time monitoring system includes an edge computing module, a monitoring and metering module, an instruction generation module, and an instruction execution module; The monitoring and metering module includes multiple types of sensors, which are arranged at multiple locations of the electron accelerator to collect real-time environmental temperature, radiation intensity, and vacuum degree of related systems inside the electron accelerator when the electron accelerator is running; The edge computing module is internally integrated with a chip and a communication module, and is connected to the monitoring and metering module through the communication module. The edge computing module is provided with an edge algorithm framework and a cloud computing platform, and receives data from the monitoring and metering module in real time, calculates, analyzes, and processes the data, and sends the results to the instruction generation module; The instruction generation module stores instruction files internally, runs relevant instruction files according to the calculation results of the edge computing module, generates control instructions, and sends them to the instruction execution module; The instruction execution module is connected to the operating parts of the electron accelerator, executes the control instructions, and changes the operating states of the electron gun and the accelerating tube of the electron accelerator.

[0007] By adopting the above technical solution, the edge computing module, the monitoring and metering module, the instruction generation module and the instruction execution module are the basic functional modules of the electron accelerator external monitoring system, forming the basic architecture of the electron accelerator external monitoring system; Among them, the edge computing module is a central processing module, which has hardware structures such as computing chips, communication modules, and expansion interfaces, and supports a series of automated operations such as data processing, real-time communication, and external interaction. The edge computing module is usually set in a computer in the same environment as the electron accelerator, and has edge computing framework code written inside. It builds an edge computing platform and periodically downloads cloud computing solutions and computing frameworks. When the monitoring and metering module completes data collection, it is sent to the edge computing module, and the latest computing solutions and computing frameworks are used to calculate and process the collected data. The calculation results are obtained and sent to the instruction generation module in real time. The instruction generation module runs the internally stored instruction files, classifies and calculates the collected data of the above-mentioned monitoring and metering modules, and generates related instruction files and sends them to the instruction execution module to change the operating state of the electron accelerator and restore the operation of the electron accelerator to normal; For example, when the operating temperature data of the electron accelerator collected by the monitoring and metering module is too high, the instruction generation module runs the temperature control instruction file according to the collection results of the monitoring and metering module and generates corresponding numerical instructions according to the temperature data. The instruction execution module changes the operating power of the acceleration tube or electron gun inside the edge computing module according to the numerical instructions, so that the electron accelerator drops the preset temperature to a healthy temperature range. Therefore, by connecting a monitoring system with edge computing function to one side of the electron accelerator and calculating the collected data in real time, if it is in an abnormal state, a corresponding adjustment instruction is generated, and the electron accelerator is quickly restored to a normal state by using the real-time instruction transmission between the instruction execution module and the electron accelerator.

[0008] Optionally, the monitoring and metering module includes a plurality of temperature sensors, a plurality of pressure sensors, and a plurality of radiation dosimeters; A plurality of the temperature sensors are arranged inside the electron gun, the accelerating tube and the magnetron of the electron accelerator to maintain the running state and collect the temperature value in real time; A plurality of the pressure sensors are arranged inside the vacuum system of the electron accelerator to monitor the regional vacuum degree of the vacuum system in real time; A plurality of radiation dosimeters are arranged inside the accelerating tube, the irradiation room and the under-beam device of the electron accelerator to monitor the radiation dose changes in real time.

[0009] By adopting the above technical solution, the temperature sensor, pressure sensor, and radiation dosimeter respectively monitor the basic parameters such as temperature, pressure, and radiation dose that objectively reflect the operating status of the electron accelerator during the operation of the electron accelerator. The technicians obtain the operating status of the electron accelerator by obtaining the operating temperature value, vacuum value, and radiation dose value of the electron accelerator. Specifically, the electron gun, deceleration tube, and magnetron of the electron accelerator generate a large amount of heat during operation. Monitoring the temperature of this part can timely detect operating problems of the electron accelerator. For electron accelerators that require periodic cooling, temperature sensors should be additionally installed at the inlet and outlet of the cooling system to monitor the temperature changes of the coolant in the cooling system to ensure the normal operation of the cooling system. Since the accelerating tube inside the electron accelerator needs to maintain a high vacuum state to reduce the collision between electrons and gas molecules, a pressure sensor is installed in the accelerating tube of the electron accelerator, that is, the vacuum system, to obtain its vacuum degree and specific air pressure values ​​as a reference standard for whether the vacuum system is operating normally. Multiple radiation dose monitoring points are usually set inside the electron accelerator, such as the inside, entrance, and outlet of the irradiation room, or the inside of the accelerating tube, beam-down device and other related devices where the electron beam energy is transmitted. According to the operating requirements and safety standards of the electron accelerator, the alarm thresholds of radiation dose and pressure are set inside the monitoring and metering module. When the monitored radiation dose exceeds the set value, the system sends an alarm signal.

[0010] Optionally, it also includes a cloud computing platform; The cloud computing platform is connected to the edge computing module and receives the uploaded data of the edge computing module; the cloud computing platform has an AI model trained inside, which calculates and analyzes the uploaded data of the edge computing module to generate preventive suggestions.

[0011] By adopting the above technical solutions, the AI ​​model trained by the cloud computing platform only needs to optimize the strategy by introducing the deep reinforcement learning algorithm, which can simulate the accelerator behavior under various working conditions, allowing the artificial intelligence model to continuously learn the best operation strategy, and periodically generate accurate and up-to-date preventive maintenance suggestions based on the uploaded data of the edge computing module, which can be downloaded by the edge computing module or the control system inside the electron accelerator through the cloud computing platform; these preventive maintenance suggestions include the recommended operating time and recommended operating power of each component inside the electron accelerator; Through working condition drills on the cloud computing platform, the data analysis capabilities of the monitoring system and the fault diagnosis and prediction capabilities of the electron accelerator have been improved, the equipment performance and operating efficiency have been optimized, and remote monitoring and management of the electron accelerator have been realized.

[0012] Optionally, a wireless module is also included; The wireless module is arranged between the edge computing module and the control system of the electron accelerator, and is used for wireless communication between the monitoring system and the control system of the electron accelerator; The edge computing module is connected to the electron accelerator by wire.

[0013] By adopting the above technical solution, two parallel channels for sending instructions, uploading and downloading data are provided between the control system inside the electron accelerator and the edge computing module inside the monitoring system, which are used to ensure the communication between the electronic processor and the central processing module of the external monitoring system; when the electron accelerator and the monitoring system are operating normally, the wireless module keeps running, that is, the two channels are in parallel; when the wireless module or the transmission bus or the transmission optical cable fails, the data can be completely transmitted through the other channel; Specifically, considering that the electron accelerator and the external monitoring system are set in the same wired area, from the perspective of distance, there are many wireless modules to choose from, and it is recommended to use a Bluetooth module or an infrared communication module; the wired connection between the electron accelerator and the external monitoring system needs to use an RS485 bus or an optical cable, but extremely short-distance transmission does not require an optical cable, so the RS485 bus transmission is directly selected, and a protective layer needs to be wrapped on the surface of the cable to avoid electromagnetic interference.

[0014] Optionally, or, the wireless module is arranged between the edge computing module and the cloud computing platform, and between the cloud computing platform and the electron accelerator.

[0015] By adopting the above technical solution, different from setting two parallel data and instruction transmission lines between the electron accelerator and the monitoring system to improve the controllability of the electron accelerator, the above solution builds another control link of the electron accelerator, that is, the control link of the cloud computing platform controlling the operation of the electron accelerator. The monitoring and metering module in the monitoring system sends the monitoring data to the edge computing module. The edge computing module sends the calculation results to the instruction generation module and sends the monitoring data and calculation results to the cloud computing platform at the same time. The cloud computing platform and the edge computing module calculate at the same time, but the cloud computing platform also integrates the historical record data for unified simulation and periodically sends relevant advisory instructions to the electron accelerator. The priority of the advisory instructions sent by the cloud computing platform to the electronic accelerator is lower than the priority of the instructions sent by the edge computing module.

[0016] Optionally, it also includes an operation and maintenance record module; The operation and maintenance recording module is connected to the cloud computing platform and is internally provided with a storage chip for recording abnormal data monitored by the monitoring and metering module, abnormal results calculated by the edge computing module, and adjustment records of the instruction execution module, so that the cloud computing platform can retrieve them in real time.

[0017] The operation and maintenance recording module is connected to the monitoring and metering module via a wireless module.

[0018] By adopting the above technical solution, the operation and maintenance record module is set in the cloud service terminal, and the abnormal information of the electron accelerator stored in it and the adjustment record made by the instruction execution module are used as important basic data for unified simulation and preset working condition drills of the cloud computing platform; the above data are also used as one of the important reference data for determining the remaining service life and maintenance cycle of the electron accelerator; Since the operation and maintenance record module only requires data storage performance and has no requirement for instant communication, in this solution, the operation and maintenance record module and the cloud service platform are connected by RS485 bus or optical cable, and the operation and maintenance record module and the monitoring and metering module are connected by wireless.

[0019] Optionally, the monitoring and metering module further includes an acceleration sensor; The detection end of the acceleration sensor is arranged at the output power part of the AFC servo motor inside the electron accelerator, collects the rotation acceleration of the AFC servo motor in real time, and uploads the monitoring value to the edge computing module; The edge computing module calculates the operating power of the AFC servo motor based on the acceleration measurement value.

[0020] By adopting the above technical solution, the acceleration sensor is used to accurately measure the vibration and acceleration changes of the AFC servo motor, which indirectly reflects the power state of the motor and promptly detects abnormal vibration or power fluctuation of the motor. Under normal conditions, the AFC servo motor is used inside the electron accelerator to adjust the frequency of the magnetron to compensate for the frequency deviation of the magnetron caused by factors such as ambient temperature and voltage fluctuations. Therefore, power monitoring of AFC servo motors can help technicians optimize the operating parameters of the motors, improve the operating efficiency of the motors, and reduce unnecessary energy losses.

[0021] Optionally, the monitoring and metering module further includes a Hall sensor; The Hall sensor is arranged in the magnetic field area of ​​the deflection magnetic field inside the electron accelerator, monitors the magnetic field strength value of the deflection magnetic field in real time, and sends it to the edge computing module.

[0022] By adopting the above technical solution, a Hall sensor is set to monitor the operating status of the deflection magnetic field inside the electronic sensor in real time; the deflection magnetic field is usually set at the beam outlet of the electron accelerator inside the electron accelerator to deflect and integrate multiple charged particle flows into one beam, that is, to deflect electrons of different energies to the same focus, thereby improving the quality of the electron beam; therefore, the Hall sensor's monitoring of the deflection magnetic field can timely reflect the magnetic field strength, provide continuous magnetic field change data, and ensure that the magnetic field strength of the deflection magnetic field is within a normal set range, which is very important for accurately controlling the magnetic field strength.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: The design of multi-sensor network and its collaborative working mechanism improves monitoring coverage and sensitivity; The data processing framework that combines edge computing with cloud analysis ensures real-time and accuracy; The intelligent early warning system driven by reinforcement learning enhances adaptive adjustment capabilities and long-term operation and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a logical operation block diagram of an embodiment of the present application.

[0025] Explanation of the accompanying drawings: 1. Edge computing module; 2. Monitoring and metering module; 21. Hall sensor; 22. Acceleration sensor; 23. Temperature sensor; 24. Pressure sensor; 25. Radiation dosimeter; 3. Wireless module; 4. Instruction generation module; 5. Cloud computing platform; 6. Instruction execution module; 7. Input control module; 8. Operation and maintenance record module; 9. Electron accelerator. DETAILED DESCRIPTION

[0026] The following is combined with Figure 1 This application is described in further detail.

[0027] The present application embodiment discloses a real-time monitoring system for an electron accelerator. Figure 1 A real-time monitoring system for an electron accelerator includes an edge computing module 1, a monitoring and metering module 2, a wireless module 3, an instruction generation module 4, an instruction execution module 6, an input control module 7, a cloud computing platform 5, and an operation and maintenance recording module 8.

[0028] Reference Figure 1The monitoring and metering module 2 includes multiple types of sensors arranged in multiple parts inside the electron accelerator 9. The technicians set up multiple monitoring points inside the electron accelerator 9, and respectively set the multiple types of sensors at the corresponding monitoring points to monitor the operation of the corresponding components inside the electron accelerator 9. The monitoring and metering module 2 sends the real-time monitoring data information to the edge computing module 1; specifically, in this embodiment, the monitoring and metering module 2 includes a Hall sensor 21, an acceleration sensor 22, a temperature sensor 23, a pressure sensor 24 and a radiation dosimeter 25.

[0029] The Hall sensor 21 is arranged in the magnetic field area of ​​the deflection magnetic field inside the electronic sensor, keeps the running state, or runs synchronously with the opening and closing of the electron accelerator 9, monitors the magnetic field strength value of the deflection magnetic field in real time, and sends the magnetic field strength value to the edge computing module 1; the detection end of the acceleration sensor 22 is arranged in the output power part of the AFC servo motor inside the electron accelerator 9, keeps the running state or runs synchronously with the opening and closing of the electron accelerator 9, collects the rotation acceleration of the AFC servo motor in real time, and uploads the monitoring value to the edge computing module 1; the temperature sensor 23 is arranged inside the electron gun, the accelerating tube, and the magnetron inside the electron accelerator 9, keeps the running state or runs synchronously with the electron accelerator 9 It runs with the opening and closing of the electron accelerator 9, collects the temperature values ​​in the corresponding area in real time, and sends the real-time change values ​​of the temperature in the corresponding area to the edge computing module 1; multiple pressure sensors 24 are arranged inside the vacuum system of the electron accelerator 9, maintain the operating state or run synchronously with the opening and closing of the electron accelerator 9, monitor the air pressure value and regional vacuum degree of the vacuum system in real time, and send the air pressure and vacuum degree values ​​to the edge computing module 1; multiple radiation dosimeters 25 are arranged inside the accelerating tube, irradiation room, and beam device inside the electron accelerator 9, maintain the operating state or run synchronously with the opening and closing of the electron accelerator 9, monitor the radiation dose changes in real time, and send the real-time change values ​​of the radiation dose to the edge computing module 1.

[0030] Reference Figure 1 The edge computing module 1 is a central processing module, which has hardware structures such as computing chips, communication modules, and expansion interfaces, and supports a series of automated operations such as data processing, real-time communication, and external interaction. Specifically, the edge computing module 1 usually uses an industrial computer and is set inside the same area as the electron accelerator 9. The data transmission interface of the electron accelerator 9 is connected through an optical cable or an RS485 bus. During implementation, it should be noted that a shielding layer needs to be added outside the transmission line to avoid electromagnetic interference; the edge computing module 1 is mounted on an industrial computer, which has an edge computing framework code written inside, builds an edge computing platform, and periodically downloads cloud computing solutions and computing frameworks. When the five types of sensors in the above-mentioned monitoring and metering module 2 complete data collection, they are sent to the edge computing module 1, and the latest computing solutions and computing frameworks are used to calculate and process the collected data to obtain the calculation results.

[0031] Reference Figure 1 The instruction generation module 4 is connected to the edge computing module 1. The instruction generation module 4 stores instruction files inside. The relevant instruction files are run according to the calculation results of the edge computing module 1. The data collected by the monitoring and metering module 2 is classified and calculated to generate relevant instruction files and send them to the instruction execution module 6; the instruction execution module 6 is connected to the instruction generation module 4 and the specific control end of the electron accelerator 9, executes control instructions, changes the operation status of the electron gun and the acceleration tube of the electron accelerator 9, or improves the operation accuracy of related components of the electron accelerator 9; specifically, the instruction execution module 6 should include the control circuit of the AFC servo motor, the power control circuit of the magnetron, the vacuum valve control circuit of the vacuum system, the vacuum pump control circuit, the operation control circuit of the deflection magnet, and the power control circuit of the electron gun, receive the control instructions of the instruction generation module 4, and specifically operate to change the operation parameters of the above-mentioned AFC servo motor, magnetron, vacuum valve, vacuum pump, deflection magnet, and electron gun.

[0032] Reference Figure 1 The cloud computing platform 5 has an AI model trained inside, which is connected to the edge computing module 1, receives the uploaded data of the edge computing module 1, and generates preventive suggestions based on the calculation and analysis of the uploaded data. Specifically, the cloud computing platform 5 is provided with a continuously trained AI model. By introducing a deep reinforcement learning algorithm, it only needs to optimize the strategy, which can simulate the accelerator behavior under various working conditions, allowing the artificial intelligence model to continuously learn the best operation strategy, and periodically generate accurate and up-to-date preventive maintenance suggestions based on the uploaded data of the edge computing module 1, which are downloaded by the edge computing module 1 or the control system inside the electron accelerator 9 through the cloud computing platform 5; these preventive maintenance suggestions include the recommended operating time and recommended operating power of each component inside the electron accelerator 9.

[0033] Reference Figure 1, the wireless module 3 is arranged between the edge computing module 1 and the control system of the electron accelerator 9, between the edge computing module 1 and the cloud computing platform 5, and between the cloud computing platform 5 and the electron accelerator 9; thus, in addition to the above-mentioned connection between the control system inside the electron accelerator 9 and the monitoring system through the RS485 bus, a parallel wireless channel for sending instructions, uploading and downloading data is also provided to ensure the communication between the electronic processor and the central processing module of the external monitoring system; when the electron accelerator 9 and the monitoring system are operating normally, the wireless module 3 keeps operating, that is, the two channels are parallel; when the wireless module 3 or the transmission bus or the transmission optical cable fails, another access channel can be used to Complete transmission of data; specifically, this embodiment selects Bluetooth or infrared communication module for wireless module 3; in addition, another control link of electron accelerator 9 is provided through wireless module 3, that is, cloud computing platform 5 controls the control link of electron accelerator 9 operation, and monitoring and metering module 2 in the monitoring system sends monitoring data to edge computing module 1, and edge computing module 1 sends calculation results to instruction generation module 4 and sends monitoring data and calculation results to cloud computing platform 5 at the same time. Cloud computing platform 5 and edge computing module 1 calculate simultaneously, but cloud computing platform 5 also integrates historical record data for unified simulation, and periodically sends relevant advisory instructions to electron accelerator 9.

[0034] Reference Figure 1 The operation and maintenance recording module 8 is connected to the cloud computing platform 5 and the monitoring and metering module 2 through the wireless module 3. The connection method is RS485 wired connection. A storage chip is provided inside the operation and maintenance recording module 8 for recording abnormal data monitored by the monitoring and metering module 2, abnormal results calculated by the edge computing module 1, and adjustment records of the instruction execution module 6 for real-time retrieval by the cloud computing platform 5.

[0035] The implementation principle of the real-time acceleration system of an electron accelerator in the embodiment of the present application is as follows: the temperature sensor 23, the pressure sensor 24, and the radiation dosimeter 25 respectively monitor the basic parameters such as temperature, pressure, and radiation dose that objectively reflect the operating state of the electron accelerator 9 during the operation of the electron accelerator 9. The technician obtains the operating state of the electron accelerator 9 by obtaining the operating temperature value, vacuum value, and radiation dose value of the electron accelerator 9; based on this, an acceleration sensor 22 and a Hall sensor 21 are additionally provided to monitor the operating states of the AFC servo motor and the deflection magnetic field, respectively, so as to improve the control accuracy of the AFC servo motor and the deflection magnetic field.

[0036] An AI model is also set up inside the cloud platform to conduct periodic working condition drills to improve the data analysis capabilities of the monitoring system, the fault diagnosis and prediction capabilities of the electron accelerator 9, optimize equipment performance and operating efficiency, and realize remote monitoring and management of the electron accelerator 9.

[0037] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A real-time monitoring system for an electron accelerator, characterized in that: It comprises an edge computing module (1), a monitoring and metering module (2), an instruction generation module (4), and an instruction execution module (6); The monitoring and metering module (2) comprises multiple types of sensors, which are arranged at multiple locations of the electron accelerator (9) to collect in real time the ambient temperature, radiation intensity, and vacuum degree of relevant systems inside the electron accelerator (9) when the electron accelerator (9) is running; The edge computing module (1) is internally integrated with a chip and a communication module, and is connected to the monitoring and metering module (2) via the communication module. The edge computing module (1) is provided with an edge algorithm framework and a cloud computing platform (5), and receives data from the monitoring and metering module (2) in real time, calculates, analyzes, and processes the data, and sends the result to the instruction generation module (4); The instruction generation module (4) stores instruction files internally, runs relevant instruction files according to the calculation results of the edge computing module (1), generates control instructions, and sends them to the instruction execution module (6); The instruction execution module (6) is connected to the operating components of the electron accelerator (9), executes control instructions, and changes the operating states of the electron gun and the accelerating tube of the electron accelerator (9).

2. The electron accelerator real-time monitoring system according to claim 1, characterized in that: The monitoring and metering module (2) comprises a plurality of temperature sensors (23), a plurality of pressure sensors (24), and a plurality of radiation dosimeters (25); A plurality of temperature sensors (23) are arranged inside the electron gun, the accelerating tube, and the magnetron of the electron accelerator (9) to maintain the operating state and collect temperature values ​​in real time; A plurality of pressure sensors (24) are arranged inside the vacuum system of the electron accelerator (9) to monitor the regional vacuum degree of the vacuum system in real time; A plurality of radiation dose meters (25) are arranged inside the accelerating tube, the irradiation room, and the under-beam device of the electron accelerator (9) to monitor the radiation dose changes in real time.

3. The electron accelerator real-time monitoring system according to claim 1, characterized in that: It also includes cloud computing platforms (5); The cloud computing platform (5) is connected to the edge computing module (1) and receives the uploaded data of the edge computing module (1); the cloud computing platform (5) has an internally trained AI model that calculates and analyzes the uploaded data of the edge computing module (1) to generate preventive suggestions.

4. The electron accelerator real-time monitoring system according to claim 3, characterized in that: Also includes a wireless module (3); The wireless module (3) is arranged between the edge computing module (1) and the control system of the electron accelerator (9), and is used for wireless communication between the monitoring system and the control system of the electron accelerator (9); The edge computing module (1) is connected to the electron accelerator (9) by wire.

5. The electron accelerator real-time monitoring system according to claim 4, characterized in that: The wireless module (3) is connected to the edge computing module (1), the cloud computing platform (5), and the electron accelerator (9).

6. The electron accelerator real-time monitoring system according to claim 3, characterized in that: It also includes an operation and maintenance record module (8); The operation and maintenance recording module (8) is connected to the cloud computing platform (5) and is internally provided with a storage chip for recording abnormal data monitored by the monitoring and metering module (2), abnormal results calculated by the edge computing module (1), and adjustment records of the instruction execution module (6), so as to be retrieved by the cloud computing platform (5) in real time; the operation and maintenance recording module (8) is connected to the monitoring and metering module (2) via a wireless module (3).

7. The electron accelerator real-time monitoring system according to claim 2, characterized in that: The monitoring and metering module (2) also includes an acceleration sensor (22); The detection end of the acceleration sensor (22) is arranged at the output power part of the AFC servo motor inside the electronic accelerator (9), collects the rotation acceleration of the AFC servo motor in real time, and uploads the monitoring value to the edge computing module (1); The edge computing module (1) calculates the operating power of the AFC servo motor based on the acceleration measurement value.

8. The electron accelerator real-time monitoring system according to claim 1, characterized in that: The monitoring and metering module (2) further includes a Hall sensor (21); The Hall sensor (21) is arranged in the magnetic field area of ​​the deflection magnetic field inside the electronic sensor, monitors the magnetic field strength value of the deflection magnetic field in real time, and sends it to the edge computing module (1).

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