Spent fuel dissolution degree monitoring system and monitoring method
The spent fuel dissolution monitoring system, utilizing an adaptive shielding mechanism and multi-parameter energy spectrum analysis technology, solves the problem of spent fuel dissolution monitoring in highly radioactive and highly corrosive environments, achieving high-precision and real-time solubility measurement and supporting process optimization.
Patent Information
- Application Number
- CN202511618164.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-06
- Publication Date
- 2026-03-06
AI Technical Summary
Existing technologies are insufficient for real-time and accurate monitoring of spent fuel dissolution processes in highly radioactive and corrosive environments. Traditional monitoring technologies are susceptible to background radiation interference and have poor device tolerance.
A spent fuel solubility monitoring system is adopted, including a radiation acquisition module, an automation control module, a signal processing module, and a process control module. The solubility is monitored in real time through an adaptive shielding mechanism and multi-parameter fusion energy spectrum analysis technology.
It enables non-invasive, high-precision, real-time online monitoring of the spent fuel melting process, improves the signal-to-noise ratio and measurement accuracy, and provides key decision-making basis for process optimization and control.
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Figure CN121612904A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of spent fuel reprocessing process monitoring technology, specifically to a spent fuel dissolution monitoring system and method. Background Technology
[0002] In the field of spent fuel reprocessing, "dissolution" is a crucial step. Its goal is to transfer soluble nuclides (such as uranium and plutonium) from spent fuel rods into a nitric acid solution to separate them from insoluble fission products and cladding materials. The thoroughness of dissolution directly determines the efficiency of subsequent extraction and purification processes and the quality of the final product, while also minimizing the volume of radioactive waste. Therefore, real-time and accurate monitoring of the undissolved content during dissolution is key to ensuring the safe, efficient, and economical operation of the reprocessing process.
[0003] The detection of spent fuel is limited by the high background of radioactivity and the highly corrosive concentrated acid environment. It is necessary to deploy nuclear radiation detection devices and use radioactive methods to measure real-time activity in order to infer the content of undissolved matter in spent fuel.
[0004] However, achieving this monitoring goal faces several inherent and insurmountable drawbacks: First, the extremely high background radioactivity makes any detection signal easily overwhelmed, leading to rapid performance degradation or failure of the detection instruments; second, highly corrosive media such as high temperatures and boiling concentrated nitric acid pose a severe challenge to the long-term durability of materials such as probes and viewing windows in monitoring devices. These factors together make traditional optical and acoustic industrial monitoring technologies unsuitable for this scenario.
[0005] Therefore, there is a need for a dedicated device and system that can adapt to extreme environments with strong radiation and strong corrosion, and can achieve direct, in-situ, and real-time monitoring of undissolved substances. Summary of the Invention
[0006] This invention provides a process monitoring method for spent fuel reprocessing to address the problem that there is no monitoring device for the degree of spent fuel dissolution in the prior art.
[0007] In a first aspect, the present invention provides a spent fuel solubility monitoring system, wherein the spent fuel is located in a charging unit. The system includes: a radiation acquisition module, an automation control module, a signal processing module, and a process control module. The process control module is connected to the charging unit and is used to acquire the status signals of the charging unit. The automation control module is connected to the radiation acquisition module. The signal processing module is connected to the process control module, the automation control module, and the radiation acquisition module. The signal processing module is used to control the automation control module to switch the shielding thickness within the radiation acquisition module based on the status signals of the charging unit and in combination with external preset measurement parameters. Then, based on the electrical signals output by the radiation acquisition module under different shielding thicknesses, the solubility of the spent fuel is calculated by energy spectrum analysis.
[0008] The spent fuel solubility monitoring system provided by this invention can perform real-time online monitoring of spent fuel solubility. Based on the feeder status and preset parameters, the system can intelligently control the switching of shielding thickness. This adaptive shielding mechanism effectively copes with the complex environment of dynamically changing radiation fields during the dissolution process. Through comparative measurements under different shielding conditions, the signal-to-noise ratio and measurement accuracy are significantly improved. This invention employs multi-parameter fusion energy dispersive spectroscopy (EDS) analysis technology, which not only enables the measurement of the activity of undissolved substances but also accurately calculates solubility through advanced algorithms. It transforms the raw radiation signal into directly usable process guidance data, providing crucial decision-making basis for the optimization and control of the dissolution process.
[0009] In one optional implementation, the radiation acquisition module includes: a collimator, a movable shield, a movable component, and a high-purity germanium detector. The collimator is positioned directly opposite the feeder and is used to shield against radiation interference. The movable shield is mounted on the movable component. The movable component is connected to an automation control module and is used to move the movable shield, thereby switching the shielding thickness of the movable shield. The high-purity germanium detector is connected to a signal processing module, and the optical path of the high-purity germanium detector is coaxial with the optical path of the collimator. The high-purity germanium detector is used to receive the radiation signal from the feeder and convert it into an electrical signal.
[0010] The spent fuel dissolution monitoring system provided by this invention achieves non-invasive, high-precision, real-time online monitoring of the spent fuel dissolution process through an innovative combination of a high-purity germanium detector and a mobile shielding device. The high-purity germanium detector has excellent detection efficiency and energy resolution, and when paired with a dedicated digital multichannel spectrometer, it clearly distinguishes the characteristic peaks of nuclides with a small dead time. The mobile shielding body can physically isolate the high background interference of the dissolution liquid and directly perform close-range focused measurement of undissolved solids, thereby fundamentally improving the signal-to-noise ratio and measurement accuracy.
[0011] In one optional embodiment, the radiation acquisition module further includes an electrically cooled condenser, wherein the electrically cooled condenser is connected to an automated control module, and a high-purity germanium detector is disposed within the sealed cavity of the electrically cooled condenser, the electrically cooled condenser being used to reduce the operating temperature of the high-purity germanium detector.
[0012] In one optional implementation, the signal processing module includes an industrial control computer and a digital multichannel spectrometer. The industrial control computer is connected to the process control module, the automation control module, and the radiation acquisition module. The industrial control computer is used to control the automation control module to switch the shielding thickness within the radiation acquisition module based on the status signal of the feeder and in conjunction with external preset measurement parameters. The digital multichannel spectrometer is connected to the radiation acquisition module and the industrial control computer. The digital multichannel spectrometer is used to acquire electrical signals under different shielding thicknesses and convert the electrical signals into corresponding digital energy spectra. The industrial control computer calculates the solubility of the corresponding spent fuel based on the digital energy spectra.
[0013] The spent fuel solubility monitoring system provided by this invention establishes an automated processing core integrating intelligent control, high-speed acquisition, and precise analysis through the efficient collaboration between an industrial control computer and a digital multichannel spectrometer. It not only adaptively adjusts shielding conditions based on process conditions to optimize the measurement signal-to-noise ratio, but also converts the raw electrical signal into a high-resolution digital energy spectrum in real time. Finally, it directly calculates the solubility through energy spectrum analysis, thus achieving end-to-end automation and intelligence from "signal acquisition" to "process decision-making," greatly improving the accuracy, efficiency, and integration of monitoring.
[0014] In one optional implementation, the spent fuel melting degree monitoring system further includes a centralized data acquisition and management cabinet, wherein the centralized data acquisition and management cabinet is connected to the signal processing module, and the centralized data acquisition and management cabinet is used to send external preset measurement parameters and monitor the working status of the signal processing module.
[0015] Secondly, the present invention provides a method for monitoring the solubility of spent fuel, applied to the signal processing module of a spent fuel solubility monitoring system of the first aspect or any corresponding embodiment described above. The method includes: acquiring the status signal of the feeder and external preset measurement parameters; when it is determined that the feeder has moved into position, acquiring the shielding adjustment amount and the reference measurement accuracy based on the external preset measurement parameters; controlling the automatic control module to gradually adjust the shielding thickness according to the shielding adjustment amount based on the initial shielding thickness in the radiation acquisition module, and obtaining the electrical signals output by the radiation acquisition module under different shielding thicknesses; sequentially determining whether the electrical signals meet the reference measurement accuracy; if they do, calculating the solubility of spent fuel using energy spectrum analysis based on the electrical signals.
[0016] The spent fuel solubility monitoring method provided by this invention achieves high accuracy and efficiency in solubility monitoring by introducing closed-loop control logic that incorporates state triggering, adaptive stepped shielding, and real-time accuracy judgment. This method automatically starts based on the feeder's in-position state, dynamically adjusts the shielding thickness, and verifies signal accuracy in real time to ensure that each measurement is performed at the optimal signal-to-noise ratio. Finally, the solubility is calculated using energy dispersive spectroscopy (EDS) analysis of the qualified signal. This process eliminates fixed-mode measurements and ensures the reliability and timeliness of results in complex and changing dissolution environments.
[0017] In one optional implementation, the process of sequentially determining whether the electrical signal meets the reference measurement accuracy includes: obtaining the radiation count rate based on the electrical signal under the initial shielding thickness, and using the radiation count rate as the background count rate; obtaining the radiation count rate under the current shielding thickness, and determining whether the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy.
[0018] In one optional embodiment, the spent fuel dissolution monitoring method further includes: if the difference between the current radiation count rate and the background count rate does not meet the reference measurement accuracy, then the radiation count rate is obtained based on the electrical signal under the next shielding thickness, and the process returns to the step of "determining whether the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy" until it is determined that the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy.
[0019] In one optional implementation, the spent fuel solubility monitoring method further includes: when it is determined that the calculated solubility of spent fuel exceeds a preset solubility, an alarm signal is output.
[0020] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the spent fuel melting degree monitoring method of the second aspect above or any corresponding embodiment thereof.
[0021] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the spent fuel melting degree monitoring method of the second aspect or any corresponding embodiment described above.
[0022] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the spent fuel melting degree monitoring method of the second aspect or any corresponding embodiment described above. Attached Figure Description
[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0024] Figure 1 This is a first composition diagram of a spent fuel dissolution monitoring system according to an embodiment of the present invention; Figure 2 This is a second composition diagram of a spent fuel dissolution monitoring system according to an embodiment of the present invention; Figure 3 This is a third composition diagram of a spent fuel dissolution monitoring system according to an embodiment of the present invention; Figure 4 This is a fourth composition diagram of a spent fuel dissolution monitoring system according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the first process of a spent fuel dissolution monitoring method according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the second process of the spent fuel dissolution monitoring method according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the specific process of the spent fuel dissolution monitoring method according to an embodiment of the present invention; Figure 8 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation
[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0026] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.
[0027] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.
[0028] This embodiment provides a spent fuel dissolution monitoring system, where the spent fuel is located in a feeder, such as... Figure 1 As shown, the system includes: radiation acquisition module 1, automation control module 2, signal processing module 3, and process control module 4.
[0029] Figure 1 In the middle, the process control module 4 is connected to the feeder, and the process control module 4 is used to collect the status signals of the feeder.
[0030] Optionally, the process control module 4 can be connected to the loader via wired or wireless connection to monitor its operating status. For example, when the process control module 4 determines that the loader has moved to the measurement station and is in the correct measurable position, it will send a "loader in position" signal to the signal processing module 3, triggering the entire system's subsequent automated monitoring process for spent fuel solubility. The process control module 4 can also receive the final solubility measurement results from the signal processing module 3 and perform operations such as over-limit alarms and data storage.
[0031] Figure 1 In the process, the automation control module 2 is connected to the radiation acquisition module 1; the signal processing module 3 is connected to the process control module 4, the automation control module 2, and the radiation acquisition module 1.
[0032] Figure 1 In the process, the signal processing module 3 is used to control the automation control module 2 to switch the shielding thickness in the radiation acquisition module based on the status signal of the feeder and combined with external preset measurement parameters. Then, based on the electrical signal output by the radiation acquisition module 1 under different shielding thicknesses, the solubility of spent fuel is calculated by energy spectrum analysis.
[0033] Specifically, Figure 1 In this process, the automation control module 2 drives the shielding thickness of the radiation acquisition module to switch according to the control commands of the signal processing module. The signal processing module 3 receives the loading device arrival signal and external parameters such as fuel consumption sent by the process control module 4, determines the measurement benchmark, and then controls the radiation acquisition module 1 to switch between shielding steps of different thicknesses through the automation control module 2. At each step, it collects the electrical signal output by the radiation acquisition module 1. By judging whether the electrical signal meets the accuracy requirements in real time, it dynamically adjusts the shielding thickness until the optimal signal-to-noise ratio is obtained. Based on the electrical signal that meets the requirements, it calculates the undissolved matter content of the spent fuel through energy spectrum analysis in combination with the fuel consumption parameters.
[0034] Optionally, the signal processing module 3 can also report the measurement results and control the radiation acquisition module 1 to return to a safe state through the automation control module 2, thus completing the monitoring cycle.
[0035] Optionally, the radiation acquisition module 1 can be mounted on a device bracket to provide support for the devices in the radiation acquisition module 1.
[0036] The spent fuel solubility monitoring system provided in this embodiment can perform real-time online monitoring of spent fuel solubility. Based on the feeder status and preset parameters, the system can intelligently control the switching of shielding thickness. This adaptive shielding mechanism effectively copes with the complex environment of dynamically changing radiation fields during the dissolution process. Through comparative measurements under different shielding conditions, the signal-to-noise ratio and measurement accuracy are significantly improved. This invention employs multi-parameter fusion energy dispersive spectroscopy (EDS) analysis technology, which not only enables the measurement of the activity of undissolved substances but also accurately calculates solubility through advanced algorithms. It transforms the raw radiation signal into directly usable process guidance data, providing crucial decision-making basis for the optimization and control of the dissolution process.
[0037] In some alternative implementations, such as Figure 2 As shown, the radiation acquisition module 1 includes: a collimator 11, a movable shield 12, a movable component 13, and a high-purity germanium detector 14. The collimator 11 is positioned directly opposite the feeder and is used to shield radiation interference.
[0038] Optionally, Figure 2 In this system, the collimator 11 can be embedded in the wall of the equipment room where the system is located for fixation. The collimator is made of stainless steel shell and lead shielding, with external dimensions of 70cm×50cm×50cm. The internal opening is a truncated pyramid with a base of 15cm×24cm, a top of 8cm×11cm, and a height of 70cm, oriented directly towards the feeder. The collimator can be powered by its own battery or by the automation control module 2.
[0039] Figure 2 In the process, the movable shield 12 is mounted on the movable component 13; the movable component 13 is connected to the automatic control module 2, and the movable component 13 is used to drive the movable shield 12 to move, thereby switching the shielding thickness of the movable shield 12.
[0040] Specifically, Figure 2 In the process, the moving component 13 consists of a servo motor and a slide rail, and is powered and controlled by the automation control module 2. The operator can manually operate and control the moving component 13 to move the moving shield 12 and complete the switching of the shield thickness.
[0041] Optionally, the movable shield 12 is made entirely of tungsten-nickel-iron, with a maximum thickness of 7cm, which can block all gamma rays from entering and ensure that the high-purity germanium detector 14 is within the ambient background dose rate. The thicknesses of the remaining movable components are 6cm, 4.5cm, 3cm, and 1.5cm, respectively. The movable component 13 can be manually switched by the operator.
[0042] Figure 2 In the middle, the high-purity germanium detector 14 is connected to the signal processing module 3. The optical path of the high-purity germanium detector 14 is coaxial with the optical path of the collimator 11. The high-purity germanium detector 14 is used to receive the radiation signal from the feeder and convert it into an electrical signal.
[0043] Optionally, the high-purity germanium detector 14 is a Canberra GR2018 semiconductor detector, which has high energy resolution and detection efficiency, enabling γ activity measurement in high-irradiation areas and is suitable for activity detection of complex nuclide compositions.
[0044] Optionally, the high-purity germanium detector 14 is encased in a detector shield. This shield is composed of a stainless steel shell, lead shielding, and a multi-layered composite shield. The shield's function is to reduce the background radiation of the high-radioactive environment and to adjust the shield thickness to suit different dissolution conditions, ensuring a significant radioactive signal from the undissolved material. The detector shield is 280mm long, 270mm wide, and 270mm high, with a 108mm diameter, 280mm long hole in the center. It is lined with 6.5mm thick polyethylene to protect the probe of the high-purity germanium detector 14. According to simulations and experiments, the detector shield can reduce the detector's dose rate by three orders of magnitude, enabling the detection of the activity of spent fuel within the feeder when used with the high-purity germanium detector 14.
[0045] In some alternative implementations, such as Figure 2 As shown, the radiation acquisition module 1 also includes an electrically cooled condenser 15, wherein the electrically cooled condenser 15 is connected to the automatic control module 2, and the high-purity germanium detector 14 is disposed in the sealed cavity of the electrically cooled condenser 15. The electrically cooled condenser 15 is used to reduce the operating temperature of the high-purity germanium detector 14.
[0046] Optionally, the electrically cooled condenser 15 is a Canberra Cryo-Cycle II type, with an overall diameter of 43.2 cm, a height of 61.0 cm, and an empty weight of approximately 30 kg. It can be filled with 25 L of liquid nitrogen at a time and can operate continuously for over 300 days, including over 7 days in the event of a power outage. The electrically cooled condenser 15 provides and maintains the necessary extremely low-temperature operating environment for the high-purity germanium detector 14. By mechanically cooling the germanium crystal at the detector core to approximately -196°C (liquid nitrogen temperature), it effectively suppresses thermal noise in the semiconductor material, thereby ensuring that the high-purity germanium detector 14 achieves extremely high energy resolution and can accurately distinguish the characteristic gamma-ray energies of different nuclides.
[0047] In some alternative implementations, such as Figure 3 As shown, the signal processing module 3 includes an industrial control computer 31 and a digital multichannel spectrometer 32. The industrial control computer 31 is connected to the process control module 4, the automation control module 2, and the radiation acquisition module 1. The industrial control computer 31 controls the automation control module 2 to switch the shielding thickness within the radiation acquisition module 1 based on the status signal of the feeder and in conjunction with external preset measurement parameters. The digital multichannel spectrometer 32 is connected to the radiation acquisition module 1 and the industrial control computer 31. The digital multichannel spectrometer 32 collects electrical signals under different shielding thicknesses and converts the electrical signals into corresponding digital energy spectra. The industrial control computer 31 calculates the solubility of the corresponding spent fuel based on the digital energy spectra.
[0048] Specifically, the digital multichannel spectrometer is a Canberra LYNX model, responsible for converting and analyzing the raw electrical signals sent by the detector and transmitting the data to the industrial control computer. The industrial control computer receives the data from the digital multichannel spectrometer, converts the electrical signals into dose rate values and undissolved matter content, and analyzes and determines whether the undissolved matter content exceeds the limit based on the set alarm threshold.
[0049] Optionally, the signal processing module 3 may also include a display unit for displaying the working status of the industrial control computer 31 and the digital multichannel spectrometer 32, and a power supply unit for supplying power to the industrial control computer 31 and the digital multichannel spectrometer 32. The signal processing module 3 may also communicate with other modules using a network switch.
[0050] In some alternative implementations, such as Figure 4 As shown, the spent fuel melting degree monitoring system also includes: a centralized data acquisition and management cabinet 5, wherein the centralized data acquisition and management cabinet 5 is connected to the signal processing module 3, and the centralized data acquisition and management cabinet 5 is used to send external preset measurement parameters and monitor the working status of the signal processing module 3.
[0051] Specifically, the centralized data acquisition and management cabinet has reserved two analog input / output channels and two digital input / output channels, which can receive input signals from external devices or convert their own signals into analog and digital quantities before outputting them to external devices. The centralized data acquisition and management cabinet includes a display unit, server, network switch, power supply unit, etc. The centralized data acquisition and management cabinet is responsible for monitoring the data of the signal processing module and setting relevant parameters.
[0052] This embodiment provides a method for monitoring the solubility of spent fuel, applied to the signal processing module of a spent fuel solubility monitoring system according to the first aspect above or any corresponding embodiment, such as... Figure 5 As shown, the method includes: Step S1: Obtain the status signal of the feeder and the external preset measurement parameters.
[0053] Step S2: After determining that the feeder has moved into position, obtain the shielding adjustment amount and the reference measurement accuracy based on the external preset measurement parameters.
[0054] Specifically, refer to Figure 3 The signal processing module acquires the status signal of the loader in real time through the process control module. When the signal processing module determines that the loader hopper has reached the correct position based on the status signal, it triggers the start of the entire monitoring process. The signal processing module then begins monitoring the spent fuel melting degree according to externally preset measurement parameters. Operators can set the measurement parameters through the centralized data acquisition and management cabinet.
[0055] It should be noted that the feeder has already undergone the dissolution and draining process before being measured, meaning there is no interference from the dissolving liquid during the measurement.
[0056] Step S3: The automatic control module adjusts the shielding thickness step by step according to the initial shielding thickness in the radiation acquisition module, based on the initial shielding thickness, and obtains the electrical signals output by the radiation acquisition module under different shielding thicknesses.
[0057] Step S4: Determine whether the electrical signals meet the reference measurement accuracy.
[0058] Specifically, the process of sequentially determining whether the electrical signal meets the reference measurement accuracy, such as... Figure 6 As shown, it includes: Step S41: Obtain the radiation count rate based on the electrical signal under the initial shielding thickness, and use the radiation count rate as the background count rate.
[0059] Specifically, refer to Figure 3 The signal processing module first performs an electrical signal acquisition under initial shielding conditions (usually the thickest and safest shielding configuration), acquiring the radiation count rate in the feeder at this point. This count rate primarily originates from the background radiation of the environment within the feeder and some radiation penetrating the shield, serving as the benchmark for subsequent calculations. The signal processing module then controls the automation control module to switch the shielding thickness of the moving shield to the next step (i.e., a thinner layer). Based on the electrical signals returned by the high-purity germanium detector at each shielding step, the corresponding activity count rate is measured.
[0060] Step S42: Obtain the radiation count rate under the current shielding thickness, and determine whether the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy.
[0061] Specifically, if the difference between the current radiation count rate and the background count rate does not meet the reference measurement accuracy, the radiation count rate is obtained based on the electrical signal at the next shielding thickness, and the process returns to the step of "determining whether the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy," until it is determined that the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy. When it is determined that the calculated solubility of spent fuel exceeds the preset solubility, an alarm signal is output.
[0062] refer to Figure 3 and Figure 7 The signal processing module performs two quality checks on the electrical signal at each shielding step: (1) Determine if the measurement accuracy meets the requirements: The signal processing module determines whether the difference between the radiation count rate and the background count rate collected under the current shielding step meets the preset statistical accuracy requirements, such as whether the number of counts is sufficient or whether the uncertainty is below a certain threshold. If not, proceed to the next judgment process (2).
[0063] (2) Determine if the measurement limit is exceeded: The signal processing module determines whether all available shielding steps have been tried. If not, it switches to the thinner next layer of shielding to try to obtain a stronger signal until the accuracy requirement in the judgment process (1) is met. If yes, it indicates that even when using the thinnest shield and the strongest signal, it is still impossible to obtain an effective count that meets the accuracy requirement, and the undissolved content of the feeder is extremely low or outside the measurement range. The signal processing module outputs an over-limit alarm signal to the process control module to alarm and remind the operator to pay attention to the possible abnormality of the dissolution process.
[0064] Step S5: If satisfied, calculate the solubility of spent fuel using energy spectrum analysis based on the electrical signal.
[0065] Specifically, if, under a certain shielding step, the signal processing module determines that the electrical signal returned by the high-purity germanium detector meets the reference measurement accuracy, then the signal processing module uses the difference between the radiation count rate and the background count rate collected under this shielding condition, combined with external preset measurement parameters (such as burnup), to calculate the specific content of undissolved matter in spent fuel through the built-in energy spectrum analysis algorithm model.
[0066] Optionally, regardless of whether the measurement ends successfully or due to reaching the measurement limit, the system will eventually execute a termination procedure. The automated control module will switch the moving shield back to the first-tier (i.e., the thickest and safest) shielding state, returning the system to the safest standby mode, awaiting the next measurement command.
[0067] The spent fuel solubility monitoring method provided in this embodiment achieves high accuracy and efficiency in solubility monitoring by introducing closed-loop control logic that incorporates state triggering, adaptive stepped shielding, and real-time accuracy judgment. This method automatically starts based on the feeder's in-position state, dynamically adjusts the shielding thickness, and verifies signal accuracy in real time to ensure that each measurement is performed at the optimal signal-to-noise ratio. Finally, the solubility is calculated using energy dispersive spectroscopy (EDS) analysis of the qualified signal. This process eliminates fixed-mode measurements and ensures the reliability and timeliness of results in complex and changing solubility environments.
[0068] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.
[0069] The following is a detailed reference. Figure 8 The diagram illustrates a structural schematic suitable for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 001, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 002 or a program loaded from memory 008 into random access memory (RAM) 003. The RAM 003 also stores various programs and data required for the operation of the electronic device. The processor 001, ROM 002, and RAM 003 are interconnected via bus 004. An input / output (I / O) interface 005 is also connected to bus 004.
[0070] Typically, the following devices can be connected to I / O interface 005: input devices 006 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 007 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 008 including, for example, magnetic tapes, hard disks, etc.; and communication devices 009. Communication device 009 allows electronic devices to exchange data via wireless or wired communication with other devices. Although Figure 8 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.
[0071] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 009, or installed from a memory 008, or installed from a ROM 002. When the computer program is executed by the processor 001, it performs the functions defined in the spent fuel dissolution monitoring method of the embodiments of the present invention.
[0072] Figure 8 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.
[0073] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the spent fuel dissolution monitoring method shown in the above embodiments is implemented.
[0074] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.
[0075] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.
Claims
1. A spent fuel dissolution level monitoring system, characterized by, The spent fuel is located in a charger, and the system comprises a radiation acquisition module, an automatic control module, a signal processing module and a process general control module, wherein The process general control module is connected with the charger, and is configured to acquire a state signal of the charger; The automatic control module is connected with the radiation acquisition module; The signal processing module is connected with the process general control module, the automatic control module and the radiation acquisition module; The signal processing module is configured to, based on the state signal of the charger and in combination with an external preset measurement parameter, control the automatic control module to switch the shielding thickness in the radiation acquisition module, and then based on the electrical signal output by the radiation acquisition module under different shielding thicknesses, calculate the solubility of the spent fuel through energy spectrum analysis.
2. The system of claim 1, wherein, The radiation acquisition module comprises a collimator, a movable shielding body, a moving assembly and a high-purity germanium detector, wherein The collimator is arranged opposite to the charger, and is configured to shield radiation interference; The movable shielding body is mounted on the moving assembly; The moving assembly is connected with the automatic control module, and is configured to drive the movable shielding body to move, so as to switch the shielding thickness of the movable shielding body; The high-purity germanium detector is connected with the signal processing module, and the optical path of the high-purity germanium detector is coaxial with the optical path of the collimator, and the high-purity germanium detector is configured to receive the radiation signal of the charger and convert it into an electrical signal.
3. The system of claim 2, wherein, The radiation acquisition module further comprises an electric refrigeration condenser tank, wherein The electric refrigeration condenser tank is connected with the automatic control module, the high-purity germanium detector is arranged in a sealed cavity of the electric refrigeration condenser tank, and the electric refrigeration condenser tank is configured to reduce the working temperature of the high-purity germanium detector.
4. The system of claim 1, wherein, The signal processing module comprises an industrial computer and a digital multi-channel spectrometer, wherein The industrial computer is connected with the process general control module, the automatic control module and the radiation acquisition module, and is configured to, based on the state signal of the charger and in combination with an external preset measurement parameter, control the automatic control module to switch the shielding thickness in the radiation acquisition module; The digital multi-channel spectrometer is connected with the radiation acquisition module and the industrial computer, and is configured to acquire the electrical signal under different shielding thicknesses, and convert the electrical signal into a corresponding digital energy spectrum; The industrial computer is configured to calculate the solubility of the corresponding spent fuel based on the digital energy spectrum.
5. The system of claim 1, wherein, Further comprising: a centralized data acquisition and management cabinet, wherein The centralized data acquisition and management cabinet is connected with the signal processing module, and is configured to send the external preset measurement parameter and monitor the working state of the signal processing module.
6. A method of monitoring the degree of dissolution of spent fuel, characterized by, The signal processing module applied to the spent fuel solubility monitoring system of any one of claims 1 to 5, the method comprising: acquiring a state signal of the charger and an external preset measurement parameter; after determining that the charger is moved into position, acquiring a shielding adjustment amount and a reference measurement accuracy based on the external preset measurement parameter; The control automation control module gradually adjusts the shielding thickness according to the shielding adjustment amount based on the initial shielding thickness in the radiation acquisition module, and respectively obtains the electrical signal output by the radiation acquisition module under different shielding thicknesses; The electrical signal is sequentially judged whether it meets the reference measurement accuracy; If it meets, the solubility of the spent fuel is calculated by using the energy spectrum analysis based on the electrical signal.
7. The method of claim 6, wherein, The process of sequentially judging whether the electrical signal meets the reference measurement accuracy comprises: Based on the electrical signal under the initial shielding thickness, the radiation count rate is obtained, and the radiation count rate is taken as the background count rate; The radiation count rate under the current shielding thickness is obtained, and it is judged whether the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy.
8. The method of claim 7, wherein, Further comprising: If the difference between the current radiation count rate and the background count rate does not meet the reference measurement accuracy, the radiation count rate is obtained based on the electrical signal under the next shielding thickness, and the step of judging whether the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy is returned, until it is determined that the difference between the current radiation count rate and the background count rate meets the reference measurement accuracy.
9. The method of claim 6, wherein, Further comprising: When it is determined that the calculated solubility of the spent fuel exceeds the preset solubility, an alarm signal is output.
10. An electronic device, comprising: It comprises: A memory and a processor, which are mutually connected in communication, the memory stores computer instructions, and the processor executes the computer instructions to perform the spent fuel solubility monitoring method in any one of claims 6 to 9.
11. A computer readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, which are used to make the computer execute the spent fuel solubility monitoring method in any one of claims 6 to 9.
12. A computer program product, characterised in that, It comprises computer instructions, which are used to make the computer execute the spent fuel solubility monitoring method in any one of claims 6 to 9.
Citation Information
Patent Citations
Passive monitoring method and system for undissolved fuel ratio of spent fuel dissolver
CN114188050A
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