Fission chamber detector signal simulation method and processing terminal

Abstract

The present application relates to a fission chamber detector signal simulation method and a processing terminal, the method comprising: simulating initial signals output by a fission chamber detector under full working conditions of a unit; obtaining actual working condition signals output by a processing card under full working conditions of the unit; performing reverse calculation on the actual working condition signals to obtain actual characteristic data; and optimizing the initial signals according to the actual characteristic data to obtain simulated signals as close as possible to the actual working condition signals. The present application can simulate detector signals output by an intermediate range fission chamber detector under full working conditions of a unit under a shutdown working condition, so that the calibration work of a signal processing cabinet is not limited by the state of the unit, and the calibration work can be completed under a complete discharge mode.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant technology, and in particular to a method for simulating and processing signals from a fission chamber detector. Background Technology

[0002] The calibration of the signal processing cabinet for the intermediate-range fission chamber detector (hereinafter referred to as the fission chamber detector) is a crucial task for maintaining the safe and reliable operation of nuclear power plants. While related technologies can simulate detector signals with relatively fixed frequencies or waveforms, they cannot simulate the detector signals under full reactor operating conditions. This necessitates current calibration methods involving waveform acquisition, parameter presetting, and feedback modification along the critical paths of the unit's uplink and downlink, requiring simultaneous tracking of deviations in signal output from different modes. This process is technically challenging, requires a long critical path window, and poses a significant challenge to unit maintenance schedules. Therefore, nuclear power plants urgently need a technical solution capable of simulating the detector signals output by the intermediate-range fission chamber detector under full operating conditions. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method for simulating signals from a fission chamber detector and a processing terminal.

[0004] The technical solution adopted by this invention to solve its technical problem is: constructing a method for simulating the signal of a fission chamber detector, comprising: The initial signal output by the simulated fission chamber detector under full operating conditions of the unit; Acquire the actual operating condition signals output by the processing card of the unit under all operating conditions; The actual operating condition signal is reverse-engineered to obtain actual characteristic data; The initial signal is optimized based on the actual characteristic data to obtain an analog signal that is as close as possible to the actual operating condition signal.

[0005] Preferably, the initial signal output by the simulated fission chamber detector under full reactor operating conditions includes: The neutron flux rate range of the fission chamber detector under different operating modes and the overlap range between different operating modes are determined; wherein, the operating modes include pulse mode, Campbell mode and current mode; The simulated output signal of the fission chamber detector during the neutron flux up and / or down processes is simulated based on each of the neutron flux rate intervals and each of the overlapping intervals. The analog output signal is normalized to obtain the initial signal.

[0006] Preferably, the step of simulating the simulated output signal of the fission chamber detector during the neutron flux up and / or down processes based on each of the neutron flux rate intervals and each of the overlapping intervals includes: During the upward and / or downward processes of the neutron fluence rate, the neutron fluence rate is substituted into a preset signal simulation model based on the interval in which the neutron fluence rate is located; The signal simulation model is represented as follows: ; This represents the analog output signal. Indicates neutron flux rate, This indicates the sensitivity of the fission chamber detector in the pulse mode. This represents the compensation coefficient under the pulse mode. This indicates the allowable cut-out point of the overlapping interval between the pulse mode and the Campbell mode. This indicates the allowed cut-in point for the overlapping interval between the pulse mode and the Campbell mode. This indicates the sensitivity of the fission chamber detector in the Campbell mode. This represents the compensation coefficient under the Campbell pattern. This indicates the allowable cut-out point of the overlapping interval between the Campbell mode and the current mode. This indicates the allowable cut-in point for the overlapping interval between the Campbell mode and the current mode. This indicates the sensitivity of the fission chamber detector under the stated current mode. This represents the compensation coefficient under the current mode.

[0007] Preferably, the reverse calculation of the actual operating condition signal includes: Obtain the transfer function of the processing card; The input signal to the processing card is calculated based on the transfer function and the actual operating condition signal. Feature extraction is performed on the input signal to obtain the actual feature data.

[0008] Preferably, optimizing the initial signal based on the actual feature data includes: Based on the actual feature data, feature extraction is performed on the initial signal to obtain simulated feature data; The actual feature data and the simulated feature data are compared to obtain the deviation result; Based on the deviation results, control reference data is generated; the control reference data is used to correct the initial signal so that the simulated feature data is as consistent as possible with the actual feature data. The analog signal is generated based on the control reference data and the initial signal.

[0009] Preferably, the comparison between the actual feature data and the simulated feature data includes: The deviation values ​​between the actual characteristic data and the simulated characteristic data under different neutron flux rates are calculated to obtain the deviation results.

[0010] Preferably, generating control reference data based on the deviation result includes: The initial signal under different neutron flux rates is corrected by weighting factors based on the deviation results to obtain the control reference data.

[0011] Preferably, the type of actual feature data includes at least one of pulse amplitude, rise time, pulse width, and dual-pulse resolution.

[0012] Preferably, the fission chamber detector signal simulation method further includes: When the unit is in full unloading mode, the analog signal is output to the processing card; Acquire the detection signal output by the processing card; The operating parameters of the processing card are adjusted based on the detection signal and the analog signal.

[0013] Furthermore, the present invention also constructs a processing terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the fission chamber detector signal simulation method described above.

[0014] The technical solution of this invention can simulate the detector signal output by the detector in the intermediate range fission chamber under all operating conditions during reactor shutdown, so that the verification work of the signal processing cabinet is not limited by the unit status and can be completed even in the complete unloading mode. This reduces the risk of high-dose radiation to personnel caused by traditional methods and avoids the risk of unit status reversal caused by adjustment errors in traditional methods. Attached Figure Description

[0015] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a flowchart of the signal simulation method for a fission chamber detector in some embodiments of the present invention; Figure 2 This is a structural diagram of a signal processing cabinet in a nuclear power plant; Figure 3 This is a flowchart of the program for generating the initial signal in some embodiments of the present invention; Figure 4 This is a flowchart of the reverse calculation process in some embodiments of the present invention; Figure 5 This is a flowchart illustrating the optimization of the initial signal in some embodiments of the present invention; Figure 6 This is a graph of a sub-current signal in some embodiments of the present invention; Figure 7 This is a circuit structure block diagram of the processing terminal in some embodiments of the present invention. Detailed Implementation

[0016] To provide a clearer understanding of the technical features, objectives, and effects of the present invention, specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0017] It should be noted that the flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0018] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0019] Figure 1 This is a flowchart of a method for simulating fission chamber detector signals in some embodiments of the present invention. This method can be applied to a processor and can simulate the detector signals output by an intermediate-range fission chamber detector under full operating conditions during reactor shutdown. This allows the verification work of the signal processing cabinet to be unrestricted by the unit's status, and can be completed even in full refueling mode. It reduces the risk of high-dose exposure to personnel associated with traditional methods and avoids the risk of unit status reversal due to adjustment errors in traditional methods, thus playing a positive role in improving the safety and economic benefits of nuclear power plants.

[0020] It should be noted that in nuclear power plants, the detector signals output by the fission chamber detectors are input to the signal processing cabinet of the RPN system (i.e., the external nuclear instrumentation system). The signal processing cabinet amplifies and counts the detector signals to obtain the count rate, which is then sent to the user's RPS / MCR. For example... Figure 2As shown, the signal processing cabinet includes a preamplifier SPWR1, a linear amplifier SWR1, a pulse counter SGPIO, and a logic unit SVE2. The preamplifier SPWR1 and the linear amplifier SWR1 constitute the processing card described below. The signal processing cabinet is readily available equipment in nuclear power plants, and its operating principle can be found in existing technologies, so it will not be elaborated here.

[0021] like Figure 1 As shown, the fission chamber detector signal simulation method may include steps S10 to S40.

[0022] Step S10 includes simulating the initial signal output by the fission chamber detector under full operating conditions of the unit. In this step, full operating conditions of the unit can include the entire process of power up and down cycles from start-up to full-power operation and from full-power operation to shutdown. Compared with existing detector signals with relatively fixed frequencies or waveforms, the initial signal can better reflect the actual changes in the unit under different operating conditions, is closer to the real operating condition signal, and helps to improve the confidence of the verification work.

[0023] In some embodiments, this can be achieved by performing, such as Figure 3 Steps S101 to S103 shown are used to generate the initial signal.

[0024] Step S101 includes: determining the neutron flux rate range of the fission chamber detector under different operating modes, and the overlap range between different operating modes.

[0025] It should be noted that fission chamber detectors typically have three operating modes: pulse mode, Campbell mode, and current mode. When the neutron flux is low, the fission chamber detector operates in pulse mode. As the neutron flux increases, the detector signal output exhibits fluctuations, conforming to Campbell's theory. The mean square value of the detector signal is proportional to the neutron flux level; during this stage, the fission chamber detector operates in Campbell mode. Subsequently, as the neutron flux further increases, the preamplifier in the processing card saturates. At this point, the neutron flux is characterized by the load current; during this stage, the fission chamber detector operates in current mode.

[0026] In some embodiments, the neutron fluence rate of the fission chamber detector in a nuclear power plant is less than the first neutron fluence rate (approximately equal to...). When the fission chamber detector is in pulse mode, the neutron fluence rate is greater than or equal to the first neutron fluence rate and less than the second neutron fluence rate (approximately equal to...). When the neutron flux rate is greater than or equal to the second neutron flux rate, the fission chamber detector is in Campbell mode; when the neutron flux rate is greater than or equal to the second neutron flux rate, the fission chamber detector is in current mode.

[0027] Furthermore, near the critical line of adjacent operating modes, due to the similar neutron fluence rates, there is a situation where two operating modes overlap. Specifically, near the first neutron fluence rate, there is an overlapping region where the pulse mode and the Campbell mode coexist, and near the second neutron fluence rate, there is an overlapping region where the Campbell mode and the current mode coexist.

[0028] Step S102 includes: simulating the simulated output signal of the fission chamber detector during the neutron flux up and / or down processes according to each neutron flux rate interval and each overlapping interval. In this step, the simulated output signal is equivalent to simulating the detector signal of the fission chamber detector under all operating conditions of the unit.

[0029] In some embodiments, the simulated output signal can be generated by simulating the following: during the neutron flux rate uplink and / or downlink process, the neutron flux rate is substituted into a preset signal simulation model based on the interval in which the neutron flux rate is located.

[0030] The signal simulation model can be represented as follows: . Indicates analog output signal, Indicates neutron flux rate, This indicates the sensitivity of the fission chamber detector in pulse mode. This represents the compensation coefficient in pulse mode. This indicates the allowable cut-out point of the overlapping interval between the pulse mode and the Campbell mode. This indicates the allowed cut-in point for the overlapping region between the pulse mode and the Campbell mode. This indicates the sensitivity of the fission chamber detector in Campbell mode. This represents the compensation coefficient under Campbell's model. This indicates the allowable cut-out point for the overlapping region between the Campbell mode and the current mode. This indicates the allowable cut-in point for the overlapping region between Campbell's mode and the current mode. This indicates the sensitivity of the fission chamber detector in current mode. This represents the compensation coefficient in current mode.

[0031] It should be noted that, , , , , and Information can usually be obtained by consulting the specifications of the fission chamber detector or by contacting the manufacturer, or by testing using existing sensitivity testing methods. , , and The magnitude can be estimated based on the measured data of the detector signal, for example, the detector signal at... to The signal during this period is neither a "regular" pulse signal nor conforms to Campbell's theory. to During this period, the signal did not conform to Campbell's theory nor was it a "normal" DC signal. Therefore, staff could analyze the spectrum of the actual detector signal under all operating conditions to deduce and classify the signal. , , and .

[0032] Step S103 includes: normalizing the analog output signal to obtain an initial signal. In this step, normalizing the analog output signal is to normalize the analog output signals under different operating modes and convert them into a current signal, preparing for data processing in subsequent steps.

[0033] In some embodiments, the normalization process can be achieved by applying a preset current normalization algorithm to the analog output signal. The current normalization algorithm can be expressed as: . This represents the normalized current signal after processing the analog output signal (denoted as pulse signal) in pulse mode. This indicates the preset amplification factor of the pulse signal. This represents a pulse signal (unit: CPS). This represents the normalized current signal after processing the analog output signal (denoted as AC signal) in Campbell mode. Indicates the preset amplification factor of the AC signal. Indicates an alternating current signal. This represents the background noise of an AC signal. This represents the normalized current signal after processing the analog output signal (denoted as DC signal) in current mode. This indicates the preset amplification factor of the DC signal. Indicates a DC signal. This represents the noise floor of the DC signal. Furthermore, the noise floor of both AC and DC signals can be obtained by testing the fission chamber detector using existing low-noise testing methods. The preset amplification factors for AC and DC signals can be customized based on the actual amplitude range of the AC and DC signals.

[0034] It should be noted that the analog output signal calculated by the signal simulation model within the overlapping interval is already a normalized signal, so there is no need to substitute the analog output signals corresponding to the two overlapping intervals into the current normalization algorithm.

[0035] Step S20 includes: acquiring the actual operating condition signal output by the processing card of the unit under full operating conditions.

[0036] Since the performance of the processing card changes gradually with operation, in some embodiments, step S20 acquires the signals output by the processing card from the most recent overhaul shutdown to the current overhaul shutdown, thereby obtaining the actual operating condition signal. This method of obtaining the actual operating condition signal is more representative and helps improve the confidence level of the analog signal.

[0037] Step S30 includes: performing reverse calculation on the actual operating condition signal to obtain actual characteristic data.

[0038] In some embodiments, this can be achieved by performing, such as Figure 4 Steps S301 to S303 shown are used to achieve the reverse calculation.

[0039] Step S301 includes: obtaining the transfer function of the processing card.

[0040] The transfer function is a mathematical expression representing the relationship between the input and output signals of the processing card. In some embodiments, the transfer function can be obtained by consulting the processing cabinet's specifications or obtaining the gain functions of the preamplifier SPWR1 and the linear amplifier SWR1 from the manufacturer, and then fusing the gain functions of the preamplifier SPWR1 and the linear amplifier SWR1.

[0041] Step S302 includes: calculating the input signal to the processing card based on the transfer function and the actual operating condition signal. In essence, substituting the actual operating condition signal into the transfer function and solving it yields the input signal to the processing card. It should be noted that existing RPN systems only have a detection channel for acquiring the output signal of the processing card, not a detection channel for the input signal. The purpose of obtaining the transfer function in this step is to allow for reverse calculation of the actual operating condition signal based on the transfer function, without adding any hardware, to obtain the input signal to the processing card.

[0042] Step S303 includes: extracting features from the input signal to obtain actual feature data. The actual feature data may include at least one of pulse amplitude, rise time, pulse width, and dual-pulse resolution.

[0043] In some embodiments, the spectrum of the input signal can be analyzed by a spectrum analyzer to obtain the pulse amplitude, rise time, and pulse width corresponding to each sub-current signal in the input signal.

[0044] Alternatively, a preset algorithm can be used to analyze the curve of the input signal to obtain the pulse amplitude, rise time, and pulse width corresponding to each sub-current signal. For details, please refer to [link to relevant documentation]. Figure 6 It can perform image analysis on each sub-current signal in the input signal. Taking a certain sub-current signal as an example, the peak value of the sub-current signal is identified to obtain the pulse amplitude; the rise time of the sub-current signal value from a first set percentage value (such as 10% of the pulse amplitude) to a second set percentage value (such as 90% of the pulse amplitude) is determined; the linear equation of the sub-current signal value from the second set percentage value to the first set percentage value is determined; the time when the sub-current signal value drops to zero is calculated according to the linear equation (denoted as the first moment); the pulse width is obtained by subtracting the time when the sub-current signal value starts to increase from zero from the first moment.

[0045] It should be noted that the input signal is a time-domain signal, which includes multiple sub-current signals corresponding to multiple neutron fluence rates during the entire operating process. In other words, the actual feature data includes actual feature datasets corresponding to multiple neutron fluence rates. Each actual feature dataset includes at least one of pulse amplitude, rise time, and pulse width.

[0046] Dual-pulse resolution represents the ability of two consecutive sub-current signals to distinguish a target. It can be obtained by analyzing the input signal using existing algorithms. For example, the resolution threshold between each sub-current signal and its next adjacent sub-current signal is calculated. If the resolution threshold is less than a set time threshold, the sub-current signal and its next adjacent sub-current signal are recorded as indistinguishable pulses; otherwise, the sub-current signal is recorded as an independent pulse. The number of indistinguishable pulses and the number of independent pulses are summed to obtain the total number of pulses. The number of independent pulses is then divided by the total number of pulses to obtain the dual-pulse resolution. The resolution threshold can be 0.25 μs.

[0047] Step S40 includes: optimizing the initial signal based on actual characteristic data to obtain an analog signal that is as close as possible to the actual operating condition signal.

[0048] In some embodiments, this can be achieved by performing, such as Figure 5 Steps S401 to S404 shown are used to optimize the initial signal.

[0049] Step S401 includes: extracting features from the initial signal based on the feature types of the actual feature data to obtain simulated feature data. In this step, the initial signal is a time-domain signal, including multiple sub-current signals corresponding to multiple neutron fluence rates throughout the entire operating process. The simulated feature data includes feature types consistent with the actual feature data, so the method for feature extraction from the initial signal can be referred to step S303, and will not be repeated here. Accordingly, the simulated feature data includes simulated feature datasets corresponding to multiple neutron fluence rates, and each simulated feature dataset includes at least one of pulse amplitude, rise time, and pulse width.

[0050] Step S402 includes: comparing the actual feature data and the simulated feature data to obtain the deviation result.

[0051] In some embodiments, the actual characteristic data and simulated characteristic data can be compared by performing the following steps: calculating the deviation values ​​between the actual characteristic data and simulated characteristic data at different neutron flux rates to obtain the deviation results.

[0052] Assuming that both the actual and simulated characteristic data include pulse amplitude and rise time, taking a certain neutron fluence rate as an example, the difference between the pulse amplitude in the actual characteristic data and the pulse amplitude in the simulated characteristic data (denoted as the first difference) and the difference between the rise time in the actual characteristic data and the rise time in the simulated characteristic data (denoted as the second difference) are calculated. The first and second differences corresponding to all neutron fluence rates constitute the aforementioned deviation result.

[0053] Step S403 includes: generating control reference data based on the deviation results. The control reference data is used to correct the initial signal so that the simulated characteristic data is as consistent as possible with the actual characteristic data.

[0054] In some embodiments, control reference data can be generated by applying weighting factors to the initial signals at different neutron fluence rates based on the deviation results. Understandably, the control reference data may include amplitude weighting factors for correcting pulse amplitude at different neutron fluence rates, time weighting factors for correcting rise time, width weighting factors for correcting pulse width, and resolution weighting factors for correcting the time interval between the current subcurrent signal and the next subcurrent signal.

[0055] Step S404 includes: generating a simulated signal based on the control reference data and the initial signal. In this step, the initial signal can be corrected based on the polynomial interpolation algorithm and the control reference data, so that the initial signal automatically changes with the control reference data to obtain a smoothly transitioning simulated signal. This reduces the fitting error between the characteristic data of the simulated signal and the input signal corresponding to the actual operating condition signal to ±0.5%, achieving a high degree of restoration of the fission chamber detector signal.

[0056] In some embodiments, the fission chamber detector signal simulation method may further include steps S50 to S70.

[0057] Step S50 includes: when the unit is in full unloading mode, outputting an analog signal to the processing card.

[0058] Step S60 includes: acquiring the detection signal output by the processing card.

[0059] Step S70 includes: adjusting the operating parameters of the processing card based on the probe signal and the analog signal. The operating parameters may include the amplification factor of the preamplifier SPWR1 and / or the linear amplifier SWR1, the discrimination threshold of the preamplifier SPWR1 and / or the linear amplifier SWR1, and the noise floor of the AC signal and / or DC signal.

[0060] Understandably, this embodiment enables the verification of the signal processing cabinet in a fully unloaded mode, which not only reduces the technical difficulty of operation but also avoids delays in maintenance.

[0061] The present invention also provides a processing terminal. For example... Figure 7 As shown, the processing terminal includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, it implements the fission chamber detector signal simulation method provided in this embodiment of the invention.

[0062] In some embodiments, the processor may include an FPGA (i.e., a field-programmable controller), which can be programmed to create a variable signal source capable of outputting analog signals with an amplitude between 0µA and ±5µA, and a resolution threshold of 0.25µs for dual pulse resolution.

[0063] In addition, digital filters for filtering analog signals can be constructed using FPGAs. These digital filters can be bandpass filters with adjustable bandpass, allowing the center frequency range of the analog signal to be set from 0.4MHz to 3.1MHz.

[0064] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0065] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0066] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0067] It is understood that the above embodiments only illustrate preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can freely combine the above technical features without departing from the concept of the present invention, and can also make several modifications and improvements, all of which fall within the protection scope of the present invention. Therefore, all equivalent transformations and modifications made with respect to the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A method for simulating signals from a fission chamber detector, characterized in that, include: The initial signal output by the simulated fission chamber detector under full operating conditions of the unit; Acquire the actual operating condition signals output by the processing card of the unit under all operating conditions; The actual operating condition signal is reverse-engineered to obtain actual characteristic data; The initial signal is optimized based on the actual characteristic data to obtain an analog signal that is as close as possible to the actual operating condition signal.

2. The method for simulating the signal of a fission chamber detector according to claim 1, characterized in that, The initial signal output by the simulated fission chamber detector under full reactor operating conditions includes: The neutron flux rate range of the fission chamber detector under different operating modes and the overlap range between different operating modes are determined; wherein, the operating modes include pulse mode, Campbell mode and current mode; The simulated output signal of the fission chamber detector during the neutron flux up and / or down processes is simulated based on each of the neutron flux rate intervals and each of the overlapping intervals. The analog output signal is normalized to obtain the initial signal.

3. The method for simulating the signal of a fission chamber detector according to claim 2, characterized in that, The simulation of the fission chamber detector's output signal during the neutron flux up and / or down processes based on each of the neutron flux rate intervals and each of the overlapping intervals includes: During the upward and / or downward processes of the neutron fluence rate, the neutron fluence rate is substituted into a preset signal simulation model based on the interval in which the neutron fluence rate is located; The signal simulation model is represented as follows: ； This represents the analog output signal. Indicates neutron flux rate, This indicates the sensitivity of the fission chamber detector in the pulse mode. This represents the compensation coefficient under the pulse mode. This indicates the allowable cut-out point of the overlapping interval between the pulse mode and the Campbell mode. This indicates the allowed cut-in point for the overlapping interval between the pulse mode and the Campbell mode. This indicates the sensitivity of the fission chamber detector in the Campbell mode. This represents the compensation coefficient under the Campbell pattern. This indicates the allowable cut-out point of the overlapping interval between the Campbell mode and the current mode. This indicates the allowable cut-in point for the overlapping interval between the Campbell mode and the current mode. This indicates the sensitivity of the fission chamber detector under the stated current mode. This represents the compensation coefficient under the current mode.

4. The method for simulating the signal of a fission chamber detector according to claim 2, characterized in that, The reverse calculation of the actual operating condition signal includes: Obtain the transfer function of the processing card; The input signal to the processing card is calculated based on the transfer function and the actual operating condition signal. Feature extraction is performed on the input signal to obtain the actual feature data.

5. The method for simulating the signal of a fission chamber detector according to claim 2, characterized in that, The optimization of the initial signal based on the actual feature data includes: Based on the actual feature data, feature extraction is performed on the initial signal to obtain simulated feature data; The actual feature data and the simulated feature data are compared to obtain the deviation result; Based on the deviation results, control reference data is generated; the control reference data is used to correct the initial signal so that the simulated feature data is as consistent as possible with the actual feature data. The analog signal is generated based on the control reference data and the initial signal.

6. The method for simulating the signal of a fission chamber detector according to claim 5, characterized in that, The comparison between the actual feature data and the simulated feature data includes: The deviation values ​​between the actual characteristic data and the simulated characteristic data under different neutron flux rates are calculated to obtain the deviation results.

7. The method for simulating the signal of a fission chamber detector according to claim 6, characterized in that, The step of generating control reference data based on the deviation result includes: The initial signal under different neutron flux rates is corrected by weighting factors based on the deviation results to obtain the control reference data.

8. The method for simulating the signal of a fission chamber detector according to claim 7, characterized in that, The types of actual feature data include at least one of pulse amplitude, rise time, pulse width, and dual-pulse resolution.

9. The method for simulating the signal of a fission chamber detector according to any one of claims 1 to 8, characterized in that, The fission chamber detector signal simulation method also includes: When the unit is in full unloading mode, the analog signal is output to the processing card; Acquire the detection signal output by the processing card; The operating parameters of the processing card are adjusted based on the detection signal and the analog signal.

10. A processing terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the fission chamber detector signal simulation method according to any one of claims 1 to 9.

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