Radiation tolerant adc voltage acquisition method and system

Abstract

The present application relates to a radiation-resistant ADC voltage acquisition method and system, comprising: synchronously acquiring multi-source data; based on multiple ADC voltage data, environmental dose rate and multiple temperature data, health degree of multiple ADC voltage acquisition units is evaluated; according to the health degree of multiple ADC voltage acquisition units, multiple ADC voltage acquisition units are identified, marked and processed; based on the marked information, effective units are identified; based on the ADC voltage data and environmental dose rate of effective units, dynamic threshold calculation is carried out, dynamic threshold range is obtained, and physical limit threshold is set; according to the dynamic threshold range and the physical limit threshold, abnormal data grading processing is carried out, and effective data set is obtained; according to the effective data set, weighted fusion is carried out and fusion result is output.The present application has high abnormality identification accuracy, can early warn gradual failure and can timely execute undisturbed switching, and has excellent acquisition accuracy and strong radiation resistance, which can meet the radiation environment demand of nuclear industry.

Description

Technical Field

[0001] This invention relates to the field of nuclear power radiation technology, and more specifically, to a radiation-resistant ADC voltage acquisition method and system. Background Technology

[0002] In nuclear power plants, certain critical areas require the deployment of equipment capable of withstanding high-dose radiation for safety monitoring and instrument inspection. However, these areas are subject to high-dose nuclear radiation, and conventional monitoring or acquisition systems / equipment are easily affected by this radiation environment. For example, a conventional ADC voltage acquisition system may malfunction due to radiation exposure. Therefore, current conventional monitoring or acquisition systems / equipment suffer from problems such as inaccurate anomaly identification, lack of early warning for gradual failures, delayed redundancy switching, and weak anti-interference capabilities under high-dose radiation environments. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a radiation-resistant ADC voltage acquisition method and system, addressing the problems existing in the prior art.

[0004] The technical solution adopted by this invention to solve its technical problem is: constructing a radiation-resistant ADC voltage acquisition method, including the following steps: Simultaneous acquisition of multi-source data; the multi-source data includes: multiple ADC voltage data, ambient dose rate, and multiple temperature data. A health assessment of multiple ADC voltage acquisition units is performed based on the multiple ADC voltage data, the environmental dose rate, and the multiple temperature data. The multiple ADC voltage acquisition units are identified, marked, and processed based on their health status. Acquire the marking information of the plurality of ADC voltage acquisition units, and identify the valid units based on the marking information; Based on the ADC voltage data of the effective unit and the ambient dose rate, a dynamic threshold is calculated to obtain the dynamic threshold range, and a physical limit threshold is set. The ADC voltage data of the effective unit is subjected to abnormal data classification processing based on the dynamic threshold range and the physical limit threshold to obtain an effective data set; The effective data set is weighted and fused, and the fusion result is output.

[0005] In the radiation-resistant ADC voltage acquisition method of the present invention, the health assessment of multiple ADC voltage acquisition units based on the multiple ADC voltage data, the environmental dose rate, and the multiple temperature data includes: Obtain a health assessment model; The health status of each ADC voltage acquisition unit is calculated based on the health assessment model, the voltage data of each ADC, the ambient dose rate, and the corresponding temperature data.

[0006] In the radiation-resistant ADC voltage acquisition method of the present invention, the step of identifying and marking the plurality of ADC voltage acquisition units according to their health status includes: The health status of each ADC voltage acquisition unit is compared with the first set value and the second set value respectively; If the health status of the ADC voltage acquisition unit is greater than or equal to the first set value, then the tagging information of the ADC voltage acquisition unit is marked as a valid unit; If the health status of the ADC voltage acquisition unit is less than the first set value, then the marking information of the ADC voltage acquisition unit is marked as a unit to be observed. If the health status of the ADC voltage acquisition unit is less than the second set value, the ADC voltage acquisition unit is marked as a failed unit and is removed from the list.

[0007] In the radiation-resistant ADC voltage acquisition method of the present invention, the step of performing dynamic threshold calculation based on the ADC voltage data of the effective unit and the ambient dose rate to obtain the dynamic threshold range, and setting the physical limit threshold includes: Acquire the ADC voltage data of the effective cell and the ambient dose rate; The mean and standard deviation are calculated based on the ADC voltage data of the effective unit to obtain the initial mean and standard deviation. A threshold coefficient is set based on the environmental dose rate; The dynamic threshold range is obtained by calculating and setting the dynamic threshold based on the initial mean, the standard deviation, and the threshold coefficient. Set physical limit thresholds based on the target monitoring object.

[0008] In the radiation-resistant ADC voltage acquisition method of the present invention, the step of performing abnormal data classification processing on the ADC voltage data of the effective unit according to the dynamic threshold range and the physical limit threshold to obtain an effective data set includes: The ADC voltage data of the effective unit is analyzed and judged based on the dynamic threshold range and the physical limit threshold. If the ADC voltage data of the effective unit is within the dynamic threshold range, it is determined to be still data; If the ADC voltage data of the effective unit is not within the dynamic threshold range but within the physical limit threshold range, then the ADC voltage data of the effective unit is marked as transient interference data, and the occurrence time and the corresponding radiation dose pulse are recorded. If the ADC voltage data of the effective unit is not within the dynamic threshold range and exceeds the physical limit threshold, the ADC voltage data of the effective unit is marked as severely abnormal data, and the self-diagnosis program of the effective unit is triggered. After removing all abnormal data, the effective data set is retained.

[0009] In the radiation-resistant ADC voltage acquisition method of the present invention, the step of weighted fusion based on the effective data set and outputting the fusion result includes: If the effective data set is greater than or equal to N1, then the target voltage value is calculated using a health-weighted algorithm. If the effective data set is equal to N2, then the target voltage value is obtained by smoothing the weighted average of the previous N acquisitions by the ADC voltage acquisition unit. If the valid data set is empty, then the hot standby ADC voltage acquisition unit is activated.

[0010] The radiation-resistant ADC voltage acquisition method described in this invention further includes: Real-time recording of the health status change curves of each ADC voltage acquisition unit; Gradual failure warning and maintenance are performed based on the aforementioned health status change curve.

[0011] In the radiation-resistant ADC voltage acquisition method described in this invention, the gradual failure early warning and maintenance based on the health change curve includes: Based on the health status change curve, determine whether the ADC voltage acquisition unit continuously sets the decrease value for a certain number of acquisition cycles; If so, a gradual failure warning will be triggered, and the ADC voltage acquisition unit will be marked as an optimized switching unit.

[0012] This invention also provides a radiation resistance monitoring system, applied to the radiation resistance ADC voltage acquisition method described above, comprising: The radiation-resistant data acquisition module is used to acquire multiple ADC voltage data and multiple temperature data. The data processing module is used for: A health assessment of multiple ADC voltage acquisition units is performed based on the multiple ADC voltage data, environmental dose rate, and multiple temperature data. The multiple ADC voltage acquisition units are identified, marked, and processed based on their health status. Acquire the marking information of the plurality of ADC voltage acquisition units, and identify the valid units based on the marking information; Based on the ADC voltage data of the effective unit and the ambient dose rate, a dynamic threshold is calculated to obtain the dynamic threshold range, and a physical limit threshold is set. The ADC voltage data of the effective unit is subjected to abnormal data classification processing based on the dynamic threshold range and the physical limit threshold to obtain an effective data set; Perform weighted fusion based on the effective data set and output the fusion result; The radiation adaptive protection module is used to collect the ambient dose rate and perform redundancy switching control.

[0013] In the radiation resistance monitoring system of the present invention, the radiation resistance acquisition module includes: multiple ADC voltage acquisition units arranged in parallel and multiple hot standby ADC voltage acquisition units.

[0014] The radiation-resistant ADC voltage acquisition method and system of the present invention have the following beneficial effects: They include: synchronously acquiring multi-source data; assessing the health of multiple ADC voltage acquisition units based on multiple ADC voltage data, environmental dose rate, and multiple temperature data; identifying, marking, and processing multiple ADC voltage acquisition units according to their health status; identifying valid units based on the marking information; calculating dynamic thresholds based on the ADC voltage data and environmental dose rate of valid units to obtain a dynamic threshold range and setting a physical limit threshold; performing graded processing of abnormal data according to the dynamic threshold range and the physical limit threshold to obtain a valid data set; and performing weighted fusion based on the valid data set and outputting the fusion result. The present invention has high anomaly identification accuracy, can provide early warning of gradual failure and perform timely, non-disruptive switching, and exhibits excellent acquisition accuracy and strong radiation resistance, meeting the radiation environment requirements of the nuclear industry. 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 illustrating an embodiment of the radiation-resistant ADC voltage acquisition method provided by the present invention; Figure 2 This is a schematic flowchart of Embodiment 2 of the radiation-resistant ADC voltage acquisition method provided by the present invention; Figure 3 This is a schematic diagram of the structure of the radiation-resistant ADC voltage acquisition system provided in an embodiment of the present invention. Detailed Implementation

[0016] 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, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] To address the problems of inaccurate anomaly identification, lack of early warning for gradual failure, delayed redundancy switching, and weak anti-interference capability in existing technologies under high-dose radiation environments, this invention provides a radiation-resistant ADC voltage acquisition method. This method achieves accurate differentiation between instantaneous and gradual failures of the ADC voltage acquisition unit, avoiding the erroneous rejection of valid data or the omission of anomaly data; it establishes a correlation model between radiation dose and ADC performance degradation, enabling dynamic threshold adjustment to adapt to different radiation scenarios; it designs a multi-dimensional state monitoring mechanism to provide early warning of gradual failures of the AC voltage acquisition unit, avoiding acquisition interruptions caused by sudden faults; and it optimizes the redundant architecture and data fusion algorithm to reduce system power consumption while ensuring acquisition accuracy, meeting the low-power requirements of nuclear facilities.

[0018] refer to Figure 1 , Figure 1 A preferred embodiment of the radiation-resistant ADC voltage acquisition method provided by the present invention is shown. This radiation-resistant ADC voltage acquisition method can meet the high-dose radiation tolerance requirements of nuclear power plants.

[0019] Specifically, such as Figure 1 As shown, the radiation-resistant ADC voltage acquisition method may include steps S10, S20, S30, S40, S50, S60 and S70.

[0020] Step S10: Synchronously collect data from multiple sources.

[0021] The multi-source data includes: multiple ADC voltage data, ambient dose rate, and multiple temperature data. Specifically, the multiple ADC voltage data can be obtained by synchronously acquiring the target voltage through multiple radiation-resistant ADC voltage acquisition units connected in parallel. Understandably, in a preferred embodiment, five radiation-resistant ADC voltage acquisition units can be configured in parallel; for example, the AD8421 ADC unit is preferred, with a total dose tolerance ≥10^5 Gy. Simultaneously, the ambient dose rate is acquired through a radiation dose sensor, which can be represented by D, with units of Gy / h. Preferably, the ambient dose rate can be obtained using a radiation dose sensor of model SBM-20. Multiple temperature data can be acquired separately through multiple temperature sensors, where the multiple temperature data represent the housing temperature of the multiple ADC voltage acquisition units; that is, each ADC voltage acquisition unit is equipped with a temperature sensor to monitor its housing temperature. Correspondingly, in a preferred embodiment, five temperature sensors are configured, with the temperature unit being °C. The voltage acquisition unit, radiation dose sensor, and temperature sensor are used to synchronously acquire data, forming a multi-source dataset consisting of "voltage data + environmental parameters (environmental dose rate) + unit status (temperature)".

[0022] Step S20: Perform a health assessment on multiple ADC voltage acquisition units based on multiple ADC voltage data, ambient dose rate, and multiple temperature data.

[0023] In some embodiments, assessing the health of multiple ADC voltage acquisition units based on multiple ADC voltage data, environmental dose rate, and multiple temperature data includes: obtaining a health assessment model; and calculating the health of each ADC voltage acquisition unit based on the health assessment model and each ADC voltage data, environmental dose rate, and corresponding temperature data.

[0024] Specifically, the first step is to establish a health assessment model. The specific expression for the health assessment model is as follows: H_i = 0.6×H_Vi + 0.3×H_Ti + 0.1×H_D; In this health assessment model: H_Vi is a voltage stability index, which can be determined by calculating the variance of the last 10 data acquisitions. When the variance is ≤0.01V, H_Vi=1, and when the variance is ≥0.1V, H_Vi=0.

[0025] H_Ti is a temperature adaptability index. H_Ti = 1 in the range of -20℃ to 60℃, and linearly decays to 0 when T_i is outside the range. H_D is a dose-fit index. When D≤100 Gy / h, H_D=1, and when D≥1000 Gy / h, H_D=0.5.

[0026] The health assessment model is used to evaluate the health of each ADC voltage acquisition unit, and the corresponding health level of each ADC voltage acquisition unit is obtained. Then, the health status of each ADC voltage acquisition unit is evaluated, which provides a basis for subsequent status marking and provides effective data for subsequent dynamic threshold calculation, so as to realize the dynamic adjustment of the threshold to adapt to different radiation scenarios.

[0027] Step S30: Identify, mark, and process multiple ADC voltage acquisition units based on their health status.

[0028] In some embodiments, identifying and marking multiple ADC voltage acquisition units based on their health status includes: comparing the health status of each ADC voltage acquisition unit with a first preset value and a second preset value; if the health status of an ADC voltage acquisition unit is greater than or equal to the first preset value, then marking the ADC voltage acquisition unit as a valid unit; if the health status of an ADC voltage acquisition unit is less than the first preset value, then marking the ADC voltage acquisition unit as a unit to be observed; if the health status of an ADC voltage acquisition unit is less than the second preset value, then marking the ADC voltage acquisition unit as a failed unit and removing the ADC voltage acquisition unit. Preferably, the first preset value is 0.6 and the second preset value is 0.3.

[0029] Specifically, ADC voltage acquisition units with a health level H_i < 0.6 are marked as "units to be observed", ADC voltage acquisition units with a health level H_i < 0.3 are marked as "failed units" and directly removed, and ADC voltage acquisition units with a health level H_i ≥ 0.6 are marked as "effective units".

[0030] Step S40: Obtain the marking information of multiple ADC voltage acquisition units, and identify the valid units based on the marking information.

[0031] In some embodiments, the marking information includes: a mark for the unit to be observed, a mark for the failed unit, and a mark for the valid unit. Specifically, in step S30, the data collected by the ADC voltage acquisition unit of the failed unit can be directly discarded. The ADC voltage acquisition unit of the unit to be observed is recorded and saved. The voltage data collected by the ADC voltage acquisition unit of the valid unit is used as valid data for subsequent dynamic threshold calculation. Therefore, by identifying all valid units and obtaining their corresponding voltage data, the voltage data collected by the ADC voltage acquisition units of these valid units can be used as a valid data set.

[0032] Step S50: Calculate the dynamic threshold based on the ADC voltage data of the effective cell and the ambient dose rate to obtain the dynamic threshold range, and set the physical limit threshold.

[0033] In some embodiments, the calculation of dynamic thresholds based on the ADC voltage data of the effective unit and the ambient dose rate to obtain a dynamic threshold range and the setting of physical limit thresholds include: acquiring the ADC voltage data of the effective unit and the ambient dose rate; calculating the mean and standard deviation based on the ADC voltage data of the effective unit to obtain an initial mean and standard deviation; setting a threshold coefficient based on the ambient dose rate; calculating and setting a dynamic threshold based on the initial mean, standard deviation and threshold coefficient to obtain a dynamic threshold range; and setting a physical limit threshold based on the target monitoring object.

[0034] The specific details of the dynamic threshold are as follows: First, calculate the effective data (S1-Sm (m≤5)) for health score H_i≥0.6, and calculate the initial mean K1 and standard deviation σ.

[0035] ; In the formula, K1 is the initial mean. Let H_i be the i-th valid data point with a health score H_i ≥ 0.6, m be the number of valid data points, and σ be the standard deviation.

[0036] Secondly, the threshold coefficient X is adjusted based on the radiation dose rate D. Specifically: when D < 100 Gy / h, X = 1.2; when 100 Gy / h ≤ D ≤ 500 Gy / h, X = 1.5; when D > 500 Gy / h, X = 1.8.

[0037] Finally, based on the calculated initial mean, standard deviation, and threshold coefficient, the dynamic threshold range is set as [K1 - X×σ, K1 + X×σ]; simultaneously, the physical limit threshold is set as [V_min, V_max]. Understandably, the physical limit threshold can be determined by the data acquisition object. For example, if the voltage range of a nuclear reactor coolant pressure sensor is 0.5V~4.5V, then the corresponding physical limit threshold can be set to [0.5, 4.5].

[0038] This invention avoids missing abnormal data by setting a dynamic threshold range and a physical limit threshold as dual constraints.

[0039] Step S60: Perform abnormal data classification processing on the ADC voltage data of the effective cells according to the dynamic threshold range and physical limit threshold to obtain the effective data set.

[0040] In some embodiments, the abnormal data classification processing of the ADC voltage data of the effective unit according to the dynamic threshold range and the physical limit threshold to obtain the effective data set includes: analyzing and judging the ADC voltage data of the effective unit according to the dynamic threshold range and the physical limit threshold; if the ADC voltage data of the effective unit is within the dynamic threshold range, it is judged as normal data; if the ADC voltage data of the effective unit is not within the dynamic threshold range but is within the physical limit threshold range, the ADC voltage data of the effective unit is marked as transient interference data, and the occurrence time and the corresponding radiation dose pulse are recorded; if the ADC voltage data of the effective unit is not within the dynamic threshold range and exceeds the physical limit threshold, the ADC voltage data of the effective unit is marked as severe abnormal data, and the self-diagnosis program of the effective unit is triggered, and the effective data set is retained after removing all abnormal data.

[0041] Specifically, after obtaining the dynamic threshold range and physical limit threshold in step S50, abnormal data can be classified and processed using these two thresholds. The specific judgment criteria and classification are as follows: Level 1 Abnormal Data: When the ADC voltage data of the effective unit exceeds the dynamic threshold range but is within the physical limit threshold range, the data is Level 1 abnormal data. It can be marked as "instantaneous interference data" and its occurrence time and corresponding radiation dose pulse can be recorded for subsequent failure analysis.

[0042] Level 2 Abnormal Data: When the ADC voltage data of the effective unit exceeds the physical limit threshold, the data is Level 2 abnormal data and can be marked as "serious abnormal data". At this time, the self-diagnosis program of the ADC voltage acquisition unit can be triggered synchronously.

[0043] After using the above-mentioned criteria for judging abnormal data and processing them in a hierarchical manner, it is possible to effectively identify the data collected by the ADC voltage acquisition unit. After removing all abnormal data, a set of valid data is retained, which can be defined as: S_valid.

[0044] Step S70: Perform weighted fusion based on the valid data set and output the fusion result.

[0045] In some embodiments, weighted fusion based on the valid data set and outputting the fusion result includes: if the valid data set is greater than or equal to N1, then a health-weighted algorithm is used to calculate the target voltage value; if the valid data set is equal to N2, then the target voltage value is obtained by smoothing the data using the weighted average of the previous N acquisitions by the ADC voltage acquisition unit; if the valid data set is empty, then a hot standby ADC voltage acquisition unit is activated. Optionally, N1 is 2, N2 is 1, and N is 5.

[0046] Specifically, in this step, a weighted fusion process is performed based on the valid dataset, and the final result is output. Specifically: If the amount of valid data S_valid is greater than or equal to 2: the final voltage value V_final = Σ(S_i×H_i) / ΣH_i is calculated using the health-weighted algorithm; where S_i is the valid data and H_i is the health of the corresponding ADC voltage acquisition unit. If S_valid data volume = 1: Smooth the data by combining the weighted average of the first 5 acquisitions of the ADC voltage acquisition unit, V_final = 0.7×S_valid + 0.3×V_history; where S_valid is the valid data and V_history is the weighted average of the first 5 acquisitions. If S_valid is empty: Start the hot standby ADC voltage acquisition unit (generally 2 sets of hot standby ADC voltage acquisition units are set), repeat steps S10-S60, and if there is no valid data for 3 consecutive times, trigger the device alarm.

[0047] refer to Figure 2 After step S70, the radiation-resistant ADC voltage acquisition method further includes the following steps: Step S80: Record the health status change curve of each ADC voltage acquisition unit in real time.

[0048] Step S90: Perform gradual failure early warning and maintenance based on the health status change curve.

[0049] In some embodiments, the gradual failure warning and maintenance based on the health change curve includes: determining whether the ADC voltage acquisition unit has continuously set a set value for a certain number of acquisition cycles based on the health change curve; if so, triggering a gradual failure warning and marking the ADC voltage acquisition unit as an optimization switching unit.

[0050] Specifically, by recording the health status change curves of each ADC voltage acquisition unit in real time, when H_i decreases by ≥0.1 for 5 consecutive acquisition cycles, a "gradual failure warning" is sent to the monitoring center, and the ADC voltage acquisition unit is marked as a "priority switching unit" for replacement during the next system maintenance.

[0051] This invention is based on a four-dimensional architecture of state monitoring, dynamic thresholding, weighted fusion, and redundancy switching. It utilizes dynamic threshold ranges and physical limits for hierarchical processing of abnormal data, and combines this with gradual failure early warning to accurately distinguish between instantaneous and gradual failures of the ADC voltage acquisition unit, avoiding the false rejection of valid data or the omission of abnormal data. Simultaneously, a multi-dimensional state monitoring mechanism is designed to provide early warning of gradual ADC failure, preventing acquisition interruptions caused by sudden faults. By optimizing the redundant architecture and data fusion algorithm, system power consumption is reduced while maintaining acquisition accuracy, adapting to the low-power requirements of nuclear facilities.

[0052] refer to Figure 3 , Figure 3 A schematic diagram of the radiation resistance monitoring system provided by the present invention is shown. This radiation resistance monitoring system is applied to the radiation resistance ADC voltage acquisition method disclosed in the embodiments of the present invention.

[0053] Specifically, such as Figure 3 As shown, the radiation resistance monitoring system includes: a radiation resistance acquisition module 100, a data processing module 200, and a radiation adaptive protection module 300.

[0054] In some embodiments, the radiation-resistant acquisition module 100 is used to acquire multiple ADC voltage data and multiple temperature data. Optionally, the radiation-resistant acquisition module 100 includes: multiple ADC voltage acquisition units arranged in parallel (#1 ADC voltage acquisition unit, #2 ADC voltage acquisition unit, ..., #N ADC voltage acquisition unit) and multiple hot-standby ADC voltage acquisition units. In a preferred embodiment, the radiation-resistant acquisition module can be configured with 5 primary ADC voltage acquisition units (AD8421) + 2 hot-standby ADC voltage acquisition units. Each ADC voltage acquisition unit adopts an all-ceramic package with gold-plated leads, providing strong resistance to neutron radiation and meeting the requirements of high-dose radiation environments.

[0055] Furthermore, in some embodiments, the radiation-resistant acquisition module 100 further includes: signal conditioning circuits (#1 signal conditioning circuit, #2 signal conditioning circuit, ..., #N signal conditioning circuit) and status monitoring submodules (#1 status monitoring submodule, #2 status monitoring submodule, ..., #N status monitoring submodule). The signal conditioning circuits include an instrumentation amplifier INA128 and an RC low-pass filter, which suppress high-frequency noise caused by radiation, improving the reliability and stability of the voltage data acquired by the ADC voltage acquisition unit. The status monitoring submodules are configured according to the ADC voltage acquisition units, and each status monitoring submodule specifically includes: an independent temperature sensor (DS18B20-IR) and a voltage monitoring chip (ADM1085) configured for each ADC voltage acquisition unit. Real-time status monitoring and signal acquisition of the ADC voltage acquisition unit are achieved through the temperature sensor and the voltage monitoring chip.

[0056] In some embodiments, the data processing module 200 is configured to: assess the health of multiple ADC voltage acquisition units based on multiple ADC voltage data, environmental dose rate, and multiple temperature data; identify, label, and process multiple ADC voltage acquisition units according to their health status; acquire labeling information of multiple ADC voltage acquisition units and identify valid units based on the labeling information; perform dynamic threshold calculation based on the ADC voltage data and environmental dose rate of valid units to obtain a dynamic threshold range and set a physical limit threshold; perform abnormal data classification processing on the ADC voltage data of valid units according to the dynamic threshold range and the physical limit threshold to obtain a valid data set; and perform weighted fusion based on the valid data set and output the fusion result.

[0057] In some embodiments, the data processing module 200 includes a core processor 201, a memory 202, an algorithm embedding module 203, and a communication interface 204. The core processor 201 uses an ARM chip STM32H743VIT6 with an integrated floating-point unit to ensure efficient operation of the weighted fusion algorithm. The memory 202 uses a ferroelectric memory 202FRAM (FM25V20). The algorithm embedding module 203 stores the health assessment model, dynamic threshold algorithm, and weighted fusion program, supporting online upgrades of algorithm parameters. The communication interface 204 primarily uses dual-path communication via RS485-IR and fiber optic interfaces to ensure reliable data transmission to the monitoring center.

[0058] In some embodiments, the radiation adaptive protection module 300 is used to collect the ambient dose rate and perform redundancy switching control. Preferably, the radiation adaptive protection module 300 includes: a dose monitoring submodule 301, a radiation-resistant power supply 302, and a redundancy switching submodule 303.

[0059] The dose monitoring submodule 301 integrates an SBM-20 radiation dose sensor and signal processing circuit, with a sampling frequency of 1Hz and a dose rate measurement range of 0.01-10^4 Gy / h. The radiation-hardened power supply 302 uses a linear power supply LDO (LT3080) with an input voltage of 24V, an output of 5V / 3.3V, ripple ≤1mV, and a built-in radiation shield (lead equivalent 0.5mm). The redundancy switching submodule 303 uses a magnetic latching relay (HFE102) to achieve seamless switching of the ADC unit, with a switching time ≤10μs, avoiding data acquisition interruptions.

[0060] The radiation tolerance monitoring system of this invention adopts a three-level architecture of "acquisition layer - processing layer - protection layer" to achieve collaborative operation. Specifically, the acquisition layer transmits multi-source data to the processing layer. The core processor 201 of the processing layer completes the health assessment, anomaly identification and data fusion, and outputs the results through the dual-channel communication interface 204 of the protection layer. When the failure of the ADC voltage acquisition unit or the sudden change in radiation dose is detected, the processing layer triggers the redundancy switching and alarm mechanism of the protection layer, and at the same time feeds back the status information to the monitoring center.

[0061] This invention employs a triple mechanism of "multi-dimensional health assessment + dynamic threshold + physical limit constraint" to achieve high accuracy in anomaly data identification. It remains stable even in high-dose environments, achieving a high-accuracy anomaly identification effect. Simultaneously, the health monitoring mechanism provides early warning of ADC gradual failure, avoiding data acquisition interruptions caused by sudden malfunctions and improving system availability. Furthermore, the weighted fusion algorithm effectively suppresses transient interference, resulting in small voltage acquisition errors and significantly improved accuracy compared to simple averaging schemes, achieving high-precision data acquisition.

[0062] The implementation process of the present invention will be described in detail below with reference to a specific embodiment.

[0063] First, configure the system parameters.

[0064] (1) Object of acquisition: Output voltage; (2) Radiation environment: dose rate 20-80 Gy / h, the main types of radiation are gamma rays and neutron radiation; (3) ADC unit parameters: AD8421, 16-bit resolution, 100Hz sampling rate, input range 0-5V; (4) Physical limit threshold: [0.4V, 4.6V], to avoid invalid data caused by sensor failure.

[0065] Secondly, perform data collection and processing.

[0066] (1) Five main ADC units synchronously collect sensor voltage data: S1=2.502V, S2=2.498V, S3=3.100V, S4=2.501V, S5=2.499V; at the same time, the radiation dose rate D=50 Gy / h is collected, and the temperature of each ADC T1-T5 is 45℃; (2) Health assessment: Calculate the variance of S1-S5 = 0.006V², and the mean of H_V1-H_V5 = 1; T1-T5 are all within the normal range, and H_T1-H_T5 are all = 1; D=500 Gy / h, H_D=1; H1-H5=0.6×1+0.3×1+0.1×1=1, all of which are valid units; S3=3.100V exceeds the dynamic threshold [2.5 -1.5×0.003, 2.5 + 1.5×0.003] (i.e. [2.4955V, 2.5045V]), but is within the physical limit, so it is judged as a first-level abnormal data and removed.

[0067] (3) Weighted fusion: Retaining S1-S2 and S4-S5, V_final=(2.502×1 + 2.498×1 + 2.501×1 + 2.499×1) / (1+1+1+1)=2.500V.

[0068] (4) Output results: The 2.500V voltage is transmitted to the monitoring center via a fiber optic interface, corresponding to a pressure of 8MPa, which matches the actual working conditions.

[0069] (5) Status Record: S3 is labeled as instantaneous interference data, and the radiation dose pulse (peak value 100 Gy / h) at the corresponding time is recorded for subsequent analysis.

[0070] At the same time, redundancy switching verification is performed.

[0071] When the health H1 of ADC1 drops from 1 to 0.2 for 5 consecutive cycles (due to zero drift caused by long-term irradiation), the system triggers a gradual failure warning. At the same time, the hot standby ADC2 is automatically switched to the primary unit in the next acquisition cycle. The switching time is 8ms, with no acquisition interruption, ensuring data continuity.

[0072] 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 in the method section.

[0073] 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.

[0074] 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.

[0075] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They do not limit the scope of protection of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should fall within the scope of the claims of the present invention.

Claims

1. A radiation-resistant ADC voltage acquisition method, characterized in that, Includes the following steps: Simultaneous acquisition of multi-source data; the multi-source data includes: multiple ADC voltage data, ambient dose rate, and multiple temperature data. A health assessment of multiple ADC voltage acquisition units is performed based on the multiple ADC voltage data, the environmental dose rate, and the multiple temperature data, including: Obtain the health assessment model; the expression of the health assessment model is: H_i = 0.6×H_Vi + 0.3×H_Ti + 0.1×H_D; Wherein, H_Vi is the voltage stability index; H_Ti is the temperature adaptability index; and H_D is the dose adaptability index. Based on the health assessment model and the voltage data of each ADC, the ambient dose rate and the corresponding temperature data, the health of each ADC voltage acquisition unit is calculated. The multiple ADC voltage acquisition units are identified, marked, and processed based on their health status. Acquire the marking information of the plurality of ADC voltage acquisition units, and identify the valid units based on the marking information; Based on the ADC voltage data of the effective unit and the ambient dose rate, a dynamic threshold is calculated to obtain the dynamic threshold range, and a physical limit threshold is set, including: Acquire the ADC voltage data of the effective cell and the ambient dose rate; The mean and standard deviation are calculated based on the ADC voltage data of the effective unit to obtain the initial mean and standard deviation. A threshold coefficient is set based on the environmental dose rate; The dynamic threshold range is obtained by calculating and setting the dynamic threshold based on the initial mean, the standard deviation, and the threshold coefficient. Set physical limit thresholds based on the target monitoring object; The ADC voltage data of the effective unit is subjected to abnormal data classification processing based on the dynamic threshold range and the physical limit threshold to obtain an effective data set; The data set is weighted and fused, and the fusion result is output, including: If the effective data set is greater than or equal to N1, then the target voltage value is calculated using a health-weighted algorithm. If the effective data set is equal to N2, then the target voltage value is obtained by smoothing the weighted average of the previous N acquisitions by the ADC voltage acquisition unit. If the valid data set is empty, then the hot standby ADC voltage acquisition unit is activated.

2. The radiation-resistant ADC voltage acquisition method according to claim 1, characterized in that, The step of identifying and marking the plurality of ADC voltage acquisition units based on their health status includes: The health status of each ADC voltage acquisition unit is compared with the first set value and the second set value respectively; If the health status of the ADC voltage acquisition unit is greater than or equal to the first set value, then the tagging information of the ADC voltage acquisition unit is marked as a valid unit; If the health status of the ADC voltage acquisition unit is less than the first set value but greater than the second set value, then the marking information of the ADC voltage acquisition unit is marked as a unit to be observed. If the health status of the ADC voltage acquisition unit is less than the second set value, the ADC voltage acquisition unit is marked as a failed unit and is removed from the list.

3. The radiation-resistant ADC voltage acquisition method according to claim 1, characterized in that, The step of performing abnormal data classification processing on the ADC voltage data of the effective unit according to the dynamic threshold range and the physical limit threshold to obtain the effective data set includes: The ADC voltage data of the effective unit is analyzed and judged based on the dynamic threshold range and the physical limit threshold. If the ADC voltage data of the effective unit is within the dynamic threshold range, it is determined to be effective data; If the ADC voltage data of the effective unit is not within the dynamic threshold range but within the physical limit threshold range, then the ADC voltage data of the effective unit is marked as transient interference data, and the occurrence time and the corresponding radiation dose pulse are recorded. If the ADC voltage data of the effective unit is not within the dynamic threshold range and exceeds the physical limit threshold, the ADC voltage data of the effective unit is marked as severely abnormal data, and the self-diagnosis program of the effective unit is triggered. After removing all abnormal data, the effective data set is retained.

4. The radiation-resistant ADC voltage acquisition method according to claim 1, characterized in that, Also includes: Real-time recording of the health status change curves of each ADC voltage acquisition unit; Gradual failure warning and maintenance are performed based on the aforementioned health status change curve.

5. The radiation-resistant ADC voltage acquisition method according to claim 4, characterized in that, The gradual failure early warning and maintenance based on the health status change curve includes: Based on the health status change curve, determine whether the ADC voltage acquisition unit continuously sets the decrease value for a certain number of acquisition cycles; If so, a gradual failure warning will be triggered, and the ADC voltage acquisition unit will be marked as an optimized switching unit.

6. A radiation-resistant monitoring system, applied to the radiation-resistant ADC voltage acquisition method according to any one of claims 1-5, characterized in that, include: The radiation-resistant data acquisition module is used to acquire multiple ADC voltage data and multiple temperature data. The data processing module is used for: A health assessment of multiple ADC voltage acquisition units is performed based on the multiple ADC voltage data, environmental dose rate, and multiple temperature data. The multiple ADC voltage acquisition units are identified, marked, and processed based on their health status. Acquire the marking information of the plurality of ADC voltage acquisition units, and identify the valid units based on the marking information; Based on the ADC voltage data of the effective unit and the ambient dose rate, a dynamic threshold is calculated to obtain the dynamic threshold range, and a physical limit threshold is set. The ADC voltage data of the effective unit is subjected to abnormal data classification processing based on the dynamic threshold range and the physical limit threshold to obtain an effective data set; Perform weighted fusion based on the effective data set and output the fusion result; The radiation adaptive protection module is used to collect the ambient dose rate and perform redundancy switching control.

7. The radiation tolerance monitoring system according to claim 6, characterized in that, The radiation-resistant acquisition module includes: multiple ADC voltage acquisition units connected in parallel and multiple hot-standby ADC voltage acquisition units.

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