Accelerator ray dose value monitoring method, device and equipment and storage medium

Abstract

According to the accelerator ray dose value monitoring method, device and equipment and the storage medium, the signal saturation problem caused by high dose is effectively solved through the preset nonlinear correction algorithm, and it is ensured that the radiation dose can still be accurately measured under the extreme condition. Whether a digital signal reaches a saturation threshold value or not is judged in real time, a correction algorithm is called immediately when the signal is close to saturation, and nonlinear correction is carried out. The dynamic response mechanism can correct signals in real time in a high-speed and short-pulse environment, and measurement errors are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of linear accelerators, and in particular to a method, device, equipment and storage medium for monitoring accelerator radiation dose values. Background Art

[0002] Medical FLASH linear accelerators have shown great application potential in the field of radiotherapy due to their high dose rate and short pulse time. Compared with traditional linear accelerators, medical FLASH linear accelerators have the characteristics of high repetition rate, wide pulse width and short treatment time, with beam irradiation not exceeding 1s. Therefore, at extremely high radiation dose rates, the ionization pairs (electrons and ions) in the gas are generated very quickly, which will lead to signal saturation. Therefore, traditional dose monitoring methods are often unable to accurately and stably measure the dose.

[0003] In the related art, there is a technical problem that the accelerator radiation dose monitoring is not accurate enough. Summary of the invention

[0004] The purpose of the present invention is to overcome the above technical deficiencies and provide an accelerator radiation dose value monitoring method, device, equipment and storage medium to solve the technical problem of inaccurate accelerator radiation dose monitoring in the related art.

[0005] In order to achieve the above technical objectives, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for monitoring accelerator radiation dose values, the method comprising: amplifying the ionization signal output by the ionization chamber, thereby outputting an amplified ionization signal; Converting the amplified ionization signal into a digital signal; Determine whether the digital signal reaches a saturation threshold. If the saturation threshold is reached, call a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then calculate the corresponding dose value based on the corrected digital signal.

[0006] In a second aspect, the present invention provides an accelerator radiation dose value monitoring device, the device comprising: an amplifying device, used to amplify the ionization signal output by the ionization chamber, thereby outputting the amplified ionization signal; A conversion device, used for converting the amplified ionization signal into a digital signal; The processing device is used to determine whether the digital signal reaches a saturation threshold. When the saturation threshold is reached, a preset nonlinear correction algorithm is called to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then a corresponding dose value is calculated based on the corrected digital signal.

[0007] The third aspect proposes an electronic device, comprising: a memory, and one or more processors communicatively connected to the memory; the memory stores instructions executable by the one or more processors, and the instructions are executed by the one or more processors so that the one or more processors implement the above-mentioned method.

[0008] A fourth aspect provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above method when executed by a processor.

[0009] Beneficial effects: The present invention provides an accelerator radiation dose value monitoring method, device, equipment and storage medium. Through a preset nonlinear correction algorithm, the signal saturation problem caused by high dose rate is effectively handled, ensuring that the radiation dose can still be accurately measured under extreme conditions. By judging in real time whether the digital signal reaches the saturation threshold, the correction algorithm is immediately called when the signal is close to saturation to perform nonlinear correction. This dynamic response mechanism can correct the signal in real time in a high-speed, short-pulse environment to avoid measurement errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of a method for monitoring accelerator radiation dose value provided by an embodiment of the present invention; Figure 2 It is a flow chart of a method for monitoring accelerator radiation dose value provided by an embodiment of the present invention; Figure 3 It is a flow chart of another accelerator radiation dose value monitoring method provided by an embodiment of the present invention; Figure 4 is a block diagram of another accelerator radiation dose value monitoring device used in an embodiment of the present invention; Figure 5 It is a block diagram of an electronic device used in an embodiment of the present invention. DETAILED DESCRIPTION

[0011] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0012] like Figure 1 As shown, this embodiment provides a method for monitoring accelerator radiation dose value, and the method may include: Step S102: performing amplification processing on the ionization signal output by the ionization chamber, thereby outputting an amplified ionization signal.

[0013] The ionization chamber is a device for detecting and measuring ionizing radiation, and the ionization signal can be represented as an electrical signal generated by the gas inside the ionization chamber under the action of ionizing radiation. The electrical signal can be a relatively weak current signal.

[0014] As mentioned above, because the signal strength output by the ionization chamber is low, if it is directly measured or digitized, it may not be able to obtain sufficient accuracy. Therefore, it is necessary to perform amplification processing, which can enhance the weak current signal to a level that can be accurately sensed by the measuring device, thereby ensuring the accuracy and reliability of the measurement.

[0015] In this embodiment, the ionization signal output by the ionization chamber can be amplified by using an amplification device, so as to output the amplified ionization signal. The amplification device can be an amplifier. The amplifier can be a transimpedance amplifier (TIA), a low-noise operational amplifier (Low-Noise Operational Amplifier), or a high-speed operational amplifier (High-Speed ​​Operational Amplifier). Specifically, the transimpedance amplifier can convert the weak current signal output by the ionization chamber into a voltage signal, and also has high gain, high input impedance and low noise characteristics. The low-noise operational amplifier can maintain a low noise level while amplifying the weak current signal output by the ionization chamber. The high-speed operational amplifier can respond to signal changes quickly and is suitable for processing high-frequency or rapidly changing signals.

[0016] In a specific embodiment, the amplifier may be an OPA657 low-noise operational amplifier.

[0017] Step S104: converting the amplified ionization signal into a digital signal.

[0018] In this embodiment, the amplified ionization signal can be a voltage signal. In most cases, the function of the amplifier is to convert the initial weak current signal into a voltage signal and amplify it. The voltage signal is also easier to measure, process and digitize in the future. It is understandable that the digital signal is firstly convenient for further processing, which can be a more complex operation, or a filtering process, etc. Secondly, the digital signal can be accurately stored in the memory, which is convenient for subsequent analysis, historical data tracking and long-term radiation dose monitoring.

[0019] In this embodiment, a conversion device may be used to convert the amplified ionization signal into a digital signal. The conversion device may be an analog-to-digital converter. Specifically, the analog-to-digital converter may be a successive approximation register (SAR) ADC, a pipeline ADC, a high-speed analog-to-digital converter, and the like.

[0020] In a specific embodiment, the analog-to-digital converter can be a high-speed analog-to-digital converter of the AD9226 type.

[0021] Step S106: Determine whether the digital signal reaches a saturation threshold. If the saturation threshold is reached, call a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then calculate the corresponding dose value based on the corrected digital signal.

[0022] Compared with traditional medical linear accelerators, medical FLASH linear accelerators have the characteristics of ultra-high dose rate and ultra-high dose in a short time. They release extremely high radiation doses in a very short time. Under such extreme conditions, the ionization process of the gas in the ionization chamber will be very rapid. At extremely high dose rates, the gas molecules in the ionization chamber are excited by radiation, generating a large number of electron and ion pairs. Due to the extremely fast ionization speed, the movement of these charge carriers between the electrodes may not be collected in time, resulting in a rapid increase in current, which exceeds the processing capacity of the existing detection circuit. Secondly, after the signal is amplified by the amplifier, if the signal amplitude exceeds the linear range of the amplifier or ADC, the amplifier or ADC will not be able to process the signal correctly, resulting in signal saturation. This may cause distortion and fail to correctly reflect the radiation dose.

[0023] In this embodiment, the saturation threshold value can be expressed as a critical point at which the output signal is no longer linearly related to the input signal when the intensity or amplitude of the input signal reaches a certain threshold value. When this critical point is reached or exceeded, the signal processing system may enter a saturated state, resulting in output signal distortion or measurement errors. Therefore, in this embodiment, a saturation threshold value can be set for real-time detection of signal intensity, so that the radiation dose can still be accurately measured at high dose rates, and signal distortion or loss can be prevented. It can be understood that when the signal intensity exceeds the linear processing range of the system, the amplifier, ADC or other measuring equipment may enter a saturated state, resulting in the output signal no longer accurately reflecting the actual input signal. If not controlled, the measurement results will be distorted. Under high dose rate conditions, it is necessary to be able to accurately measure the dose. If the signal exceeds the saturation threshold value without processing, the measurement accuracy will be seriously affected, which may lead to erroneous dose assessment.

[0024] In this embodiment, the saturation threshold can be determined by specific experimental measurement. Specifically, the voltage value at which the signal begins to saturate can be determined by experiment. For example, by gradually increasing the input signal and monitoring the output, when the output signal no longer increases linearly, the input voltage at this time is recorded as the saturation voltage. The saturation voltage obtained by the experiment is then converted into a digital value through the full scale range and resolution of the ADC.

[0025] In some implementations, the signal processing chain of the system can also be modeled and simulated by a simulation tool to simulate the response of the system under different input conditions. Through simulation, it is possible to identify under which conditions the system will saturate and accurately locate the saturation threshold. The simulation tool can be MATLAB or other software tools with similar functions.

[0026] In an embodiment, it is possible to directly determine whether the digital signal reaches a saturation threshold through a processing device. When the saturation threshold is reached, the processing device may also call a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then calculate the corresponding dose value based on the corrected digital signal. It is understandable that in this case, the preset nonlinear correction algorithm is configured in the processing device. And the processing device may be configured with a corresponding algorithm, which may calculate the corresponding dose value based on the corrected digital signal. Specifically, the corrected digital signal may be mapped to the corresponding dose value through a linear function. It may also be a quadratic or cubic polynomial function to fit the relationship between the digital signal and the dose value, so that the corrected digital signal is mapped to the corresponding dose value through the function of the polynomial. It may also be a machine learning model or a deep learning model.

[0027] More specifically, a large amount of training data can be collected in advance, such as digital signal values ​​and corresponding real dose values. The basic network model is trained using the large amount of training data to adjust the weights and biases of the basic network model. After the training is completed, the trained network model can be deployed in the processing device. The basic network model can be a machine learning model, such as a linear regression model, a decision tree model, a random forest model, a support vector machine model, etc. The basic network model can also be a deep learning model, such as a convolutional neural network or a recursive neural network.

[0028] In this embodiment, the processing device may be a digital signal processor (DSP), a microcontroller (MCU), a field-programmable gate array (FPGA), or an embedded processor.

[0029] In this embodiment, a plurality of preset nonlinear correction algorithms may be used to perform nonlinear characteristic correction on the digital signal. For example, the plurality of nonlinear correction algorithms may include: performing nonlinear characteristic correction on the digital signal through a preset mathematical model, performing nonlinear characteristic correction on the digital signal through a nonlinear correction table. In some embodiments, some recursive algorithms, such as a Kalman filter model, may be used to filter and estimate the input signal to correct the nonlinear characteristics of the signal.

[0030] In this embodiment, the processing device can call any of the above-mentioned nonlinear correction algorithms to perform nonlinear characteristic correction on the digital signal. In some embodiments, multiple nonlinear correction algorithms can also be used in combination to correct the input signal sequentially or in parallel to improve the accuracy and robustness of the correction. Specifically, a nonlinear correction algorithm can be used for preliminary correction first, and then another nonlinear correction algorithm can be used to further correct the result of the preliminary correction. For example, a mathematical model can be used for preliminary correction first, and then a Kalman filter can be used to optimize the result. In some embodiments, multiple nonlinear correction algorithms can also be used simultaneously to process the input signal, and the final result can be obtained by weighted average or selection of the optimal result.

[0031] In summary, in this embodiment, on the one hand, the signal saturation problem caused by high dose rate is effectively handled through the preset nonlinear correction algorithm, ensuring that the radiation dose can still be accurately measured under extreme conditions. On the other hand, by judging in real time whether the digital signal reaches the saturation threshold, the correction algorithm is immediately called when the signal is close to saturation to perform nonlinear correction. This dynamic response mechanism can correct the signal in real time in a high-speed, short-pulse environment to avoid measurement errors.

[0032] In some implementations, the step of calling a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal includes: The digital signal is input into a preset mathematical model for processing to obtain a corrected digital signal; wherein the mathematical model is a mathematical model configured in at least one of the following forms, including: Fitting a mathematical model of the nonlinear response through a polynomial function; or, A mathematical model that fits a nonlinear response through a piecewise linear function; or, The mathematical model of nonlinear response is fitted by neural network model.

[0033] Specifically, the polynomial function can be: In this formula, is the corrected digital signal, is the input digital signal, , ,..., are the coefficients of the polynomial, which can be obtained by fitting the actual measured data.

[0034] Specifically, the piecewise linear function can be: (when hour) In this formula, and It is The intercept and slope of the linear correction function of the segment, and is the input signal range of this segment. Segmented processing allows different correction strategies to be applied in different signal intervals to adapt to more complex nonlinear characteristics.

[0035] Specifically, the neural network model can correct the nonlinear characteristics of the input signal through complex connections of multiple layers of neurons and nonlinear activation functions.

[0036] In the above-mentioned implementation, the nonlinear characteristic correction of the digital signal is performed by calling a preset nonlinear correction algorithm, specifically including inputting the digital signal into a preset mathematical model for processing, wherein the mathematical model can be a polynomial function, a piecewise linear function or a neural network model, to fit and correct the nonlinear response of the signal, thereby accurately restoring the true radiation dose value. This implementation can enhance the adaptability of the system to complex nonlinear signals and improve the measurement accuracy and stability by flexibly selecting and combining different mathematical models. It is particularly suitable for radiation measurement environments with high dose rates and short pulse times such as medical FLASH linear accelerators, and solves the problem that traditional dose monitoring methods are difficult to accurately measure.

[0037] In some implementations, the step of calling a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal includes: The digital signal is input into a preset nonlinear correction table to obtain a corrected digital signal; wherein the nonlinear correction table is a table for mapping the input digital signal and the output correction value.

[0038] In this embodiment, the nonlinear correction table can be a one-dimensional lookup table (1D LookupTable), that is, each row in the table corresponds to an input signal value and its corresponding corrected output value. The nonlinear correction table can also be a segmented lookup table (Segmented Lookup Table), that is, the input signal value is divided into several segments, and a linear or nonlinear interpolation method is defined in each segment, or the correction value of the key point is directly stored.

[0039] In some implementations, the nonlinear correction table may also be a two-dimensional lookup table or a multi-dimensional lookup table, etc.

[0040] In the above implementation, the digital signal is corrected by a preset nonlinear correction table, and the input signal is quickly mapped to the correction value by using a table lookup method, which can effectively handle complex nonlinear relationships, reduce computational complexity, and achieve real-time correction, thereby improving the efficiency and accuracy of signal processing and ensuring that the radiation dose value can be accurately measured under high dose rate conditions. This method is simple and efficient, and is suitable for application scenarios with fast response and high-precision measurement.

[0041] like Figure 2 As shown, in some embodiments, the method further comprises: Step S108: When the saturation threshold is reached, a preset control strategy is triggered to adjust the gain of the amplifier and / or the range of the conversion device to avoid signal loss; wherein the amplifier is a device for amplifying the ionization signal output by the ionization chamber to output an amplified ionization signal, and the conversion device is a device for converting the amplified ionization signal into a digital signal.

[0042] In this embodiment, the control strategy may be that when a saturation threshold is reached, a processing device (e.g., a DSP) may generate a control signal and send it to a control pin of the amplifier to adjust the gain of the amplifier to ensure that the signal amplitude returns to a suitable range to avoid further saturation. The amplifier may be an amplifier with an adjustable gain function, for example, an operational amplifier with a digitally controlled gain setting. The gain of the amplifier may be dynamically adjusted by an external control signal.

[0043] In this embodiment, the control strategy may also be that when the saturation threshold is reached, the processing device (e.g., DSP) may generate another control signal and send it to the multi-range ADC to change its range setting to ensure that the signal is within the linear range of the ADC. The multi-range ADC may adjust the range by changing the reference voltage or internal configuration. The multi-range ADC may dynamically switch its input range to adapt to signals of different strengths.

[0044] In some embodiments, the processing device may further continuously monitor the signal. If the signal is still close to saturation after adjustment, the system may further adjust the gain or range for fine-tuning.

[0045] In a specific embodiment, an operational amplifier with programmable gain and a multi-range analog-to-digital converter can be used to perform real-time control and adjustment through a microcontroller or digital signal processor. It is understood that corresponding embedded software can be pre-written in the microcontroller or digital signal processor to manage gain and range adjustment.

[0046] In the above-mentioned embodiment, by triggering a preset control strategy when the signal reaches the saturation threshold, the gain of the amplifier and / or the range of the conversion device is automatically adjusted, thereby effectively dealing with the signal saturation problem under high dose rates, avoiding signal loss, and ensuring the integrity and accuracy of the signal within the entire measurement range, thereby expanding the dynamic range of the system and improving the reliability and accuracy of dose measurement.

[0047] In some embodiments, the amplifying device is an amplifier circuit, and the amplifier circuit includes an adjustable feedback network circuit, wherein the step of adjusting the gain of the amplifying device includes: A first control signal is sent to the adjustable feedback network circuit to adjust an adjustable parameter in the adjustable feedback network circuit.

[0048] In this embodiment, the first control signal can change one or more parameters in the adjustable feedback network circuit to dynamically adjust the gain of the amplifier. The first control signal can be represented as a signal for adjusting the parameters in the adjustable feedback network circuit.

[0049] In this embodiment, the adjustable feedback network circuit may be an adjustable feedback network circuit using a digital potentiometer. Specifically, a digital potentiometer may be used as an adjustable resistor in a feedback path. The resistance of the digital potentiometer may be adjusted by a digital control signal, thereby changing the feedback resistance value, and then adjusting the gain of the amplifier. The adjustable feedback network circuit may be an adjustable feedback network circuit using a switchable resistor network. Specifically, multiple resistors may be set in the feedback path, and different resistance values ​​may be switched by an analog switch or a relay. Each resistor corresponds to a specific gain, and the control signal determines which resistor is effective.

[0050] In the above implementation scheme, an adjustable feedback network circuit is provided in the amplifier circuit, and the parameters of the feedback network are dynamically adjusted through a control signal, thereby achieving real-time adjustment of the amplifier gain. This design allows the system to flexibly adjust the amplifier gain under different signal strength conditions, ensuring that the signal is always within a suitable processing range, avoiding signal saturation or distortion, and thus improving the measurement accuracy and system adaptability.

[0051] In some embodiments, the conversion device is a multi-range analog-to-digital converter, wherein the step of adjusting the range of the conversion device includes: A second control signal is sent to the multi-range analog-to-digital converter to adjust the range setting of the digital converter.

[0052] In this embodiment, the multi-range analog-to-digital converter may be a multi-reference voltage ADC or a segmented multi-range ADC. The second control signal may be a signal for adjusting the range setting of the multi-range analog-to-digital converter.

[0053] In the above implementation, by sending a second control signal to the multi-range analog-to-digital converter to dynamically adjust the range setting of the ADC, the system can flexibly switch the range under different signal strengths to ensure that the signal is always within the linear measurement range of the ADC. This can avoid saturation caused by an overly strong signal or insufficient resolution caused by a too weak signal, thereby improving the accuracy of the measurement and the adaptability of the system, especially in applications with a high dynamic range.

[0054] like Figure 4As shown, in some embodiments, before the step of converting the amplified ionization signal into a digital signal, the method further includes: Step S103: inputting the amplified ionization signal into a preset filtering integration circuit to remove high-frequency noise and interference in the amplified ionization signal.

[0055] In this embodiment, the filtering integration circuit can be an RC low-pass filter or an active low-pass filter. Specifically, the RC low-pass filter can be a low-pass filter composed of a resistor (R) and a capacitor (C) connected in series. The RC low-pass filter can filter out high-frequency components and only allow low-frequency signals to pass. The integration effect is achieved through the charging and discharging process of the capacitor, and the capacitor voltage integrates the input current over time, thereby smoothing the signal. It can be understood that in the RC low-pass filter, integration and filtering are achieved through the charging and discharging process of the capacitor: when the input signal is applied to the circuit, the capacitor gradually accumulates charge, and its voltage accumulates over time, which is equivalent to integrating the input signal; at the same time, the capacitor responds slowly to the rapid changes of the high-frequency signal and cannot completely follow it, so the high-frequency signal is attenuated, while the low-frequency signal can pass smoothly, which achieves the retention of the low-frequency signal and the filtering of the high-frequency signal. The process of integrating and smoothing the signal in the time domain corresponds to the effect of filtering in the frequency domain, and the two are different manifestations of the same process in the RC low-pass filter.

[0056] In the above-mentioned implementation scheme, the high-frequency noise and interference are removed by passing the amplified ionization signal through a filtering integration circuit before converting it into a digital signal, thereby improving the signal quality, enhancing the measurement accuracy, reducing error propagation, optimizing the system performance, ensuring that the signal input to the analog-to-digital converter is purer and more stable, and making the subsequent signal processing and dose calculation more accurate and reliable.

[0057] According to an embodiment of the present invention, an accelerator radiation dose value monitoring device is provided. Figure 4 , the device comprises: an amplifying device, used to amplify the ionization signal output by the ionization chamber, thereby outputting the amplified ionization signal; A conversion device, used for converting the amplified ionization signal into a digital signal; The processing device is used to determine whether the digital signal reaches a saturation threshold. When the saturation threshold is reached, a preset nonlinear correction algorithm is called to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then a corresponding dose value is calculated based on the corrected digital signal.

[0058] According to an embodiment of the present invention, an electronic device is provided. Figure 5The electronic device in this embodiment may include one or more of the following components: a processor, a network interface, a memory, a non-volatile memory, and one or more applications, wherein the one or more applications may be stored in the non-volatile memory and configured to be executed by one or more processors, and the one or more programs are configured to execute the method described in the aforementioned method embodiment.

[0059] According to an embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a computer, the computer executes the method described in any of the above embodiments.

[0060] According to an embodiment of the present invention, a computer program product including instructions is further provided. When the instructions are executed by a computer, the computer executes an accelerator radiation dose value monitoring method in any of the above embodiments.

[0061] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0062] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment will not be described in detail here.

[0063] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0064] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0065] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring accelerator radiation dose, characterized in that: The method comprises: amplifying the ionization signal output by the ionization chamber, thereby outputting an amplified ionization signal; Converting the amplified ionization signal into a digital signal; Determine whether the digital signal reaches a saturation threshold. If the saturation threshold is reached, call a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then calculate the corresponding dose value based on the corrected digital signal.

2. The method according to claim 1, characterized in that The step of calling a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal includes: The digital signal is input into a preset mathematical model for processing to obtain a corrected digital signal; wherein the mathematical model is a mathematical model configured in at least one of the following forms, including: Fitting a mathematical model of the nonlinear response through a polynomial function; or, A mathematical model that fits a nonlinear response through a piecewise linear function; or, The mathematical model of nonlinear response is fitted by neural network model.

3. The method according to claim 1, characterized in that The step of calling a preset nonlinear correction algorithm to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal includes: The digital signal is input into a preset nonlinear correction table to obtain a corrected digital signal; wherein the nonlinear correction table is a table for mapping the input digital signal and the output correction value.

4. The method according to claim 1, characterized in that: The method further comprises: When the saturation threshold is reached, a preset control strategy is triggered to adjust the gain of the amplifier and / or the range of the conversion device to avoid signal loss; wherein the amplifier is a device for amplifying the ionization signal output by the ionization chamber to output an amplified ionization signal, and the conversion device is a device for converting the amplified ionization signal into a digital signal.

5. The method according to claim 4, characterized in that The amplifying device is an amplifier circuit, and the amplifier circuit includes an adjustable feedback network circuit, wherein the step of adjusting the gain of the amplifying device includes: Sending a first control signal to the adjustable feedback network circuit to adjust an adjustable parameter in the adjustable feedback network circuit; The gain of the amplifier circuit is adjusted by changing the adjustable parameter.

6. The method according to claim 4, characterized in that The conversion device is a multi-range analog-to-digital converter, wherein the step of adjusting the range of the conversion device comprises: A second control signal is sent to the multi-range analog-to-digital converter to adjust the range setting of the analog-to-digital converter.

7. The method according to claim 1, characterized in that Before the step of converting the amplified ionization signal into a digital signal, the method further comprises: The amplified ionization signal is input into a preset filtering integration circuit to remove high-frequency noise and interference in the amplified ionization signal.

8. An accelerator radiation dose value monitoring device, characterized in that: The device comprises: an amplifying device, used to amplify the ionization signal output by the ionization chamber, thereby outputting the amplified ionization signal; A conversion device, used for converting the amplified ionization signal into a digital signal; The processing device is used to determine whether the digital signal reaches a saturation threshold. When the saturation threshold is reached, a preset nonlinear correction algorithm is called to perform nonlinear characteristic correction on the digital signal to obtain a corrected digital signal, and then a corresponding dose value is calculated based on the corrected digital signal.

9. An electronic device, characterized in that: include: a memory, and one or more processors communicatively coupled to the memory; The memory stores instructions that can be executed by the one or more processors. The instructions are executed by the one or more processors to enable the one or more processors to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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