CN114334194A - High-temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium - Google Patents
High-temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN114334194A CN114334194A CN202111406596.1A CN202111406596A CN114334194A CN 114334194 A CN114334194 A CN 114334194A CN 202111406596 A CN202111406596 A CN 202111406596A CN 114334194 A CN114334194 A CN 114334194A
- Authority
- CN
- China
- Prior art keywords
- determining
- period
- data
- quarter
- time period
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000001307 helium Substances 0.000 title claims abstract description 186
- 229910052734 helium Inorganic materials 0.000 title claims abstract description 186
- SWQJXJOGLNCZEY-UHFFFAOYSA-N helium atom Chemical compound [He] SWQJXJOGLNCZEY-UHFFFAOYSA-N 0.000 title claims abstract description 186
- 239000007789 gas Substances 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 42
- 230000004044 response Effects 0.000 claims abstract description 57
- 238000012795 verification Methods 0.000 claims abstract description 38
- 238000012423 maintenance Methods 0.000 claims abstract description 34
- 238000012360 testing method Methods 0.000 claims description 22
- 230000008439 repair process Effects 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 13
- 230000008859 change Effects 0.000 abstract description 13
- 238000012544 monitoring process Methods 0.000 abstract description 10
- 230000002035 prolonged effect Effects 0.000 abstract description 6
- 238000004590 computer program Methods 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 8
- 230000009471 action Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 238000011109 contamination Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000002285 radioactive effect Effects 0.000 description 2
- 238000007789 sealing Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 239000002826 coolant Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000011261 inert gas Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000001422 normality test Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E30/00—Energy generation of nuclear origin
- Y02E30/30—Nuclear fission reactors
Landscapes
- Examining Or Testing Airtightness (AREA)
Abstract
The utility model provides a high temperature gas cooled reactor helium leakage early warning method, device, equipment and storage medium, which relates to the technical field of nuclear reactors, and the concrete implementation scheme is as follows: determining a reference time period according to the time period of the current date in the season and historical maintenance data of the high-temperature gas cooled reactor; acquiring helium leakage data corresponding to a reference time period and a reference value corresponding to the reference time period; performing normality check on helium leakage data corresponding to a reference time period to determine a check result; determining each helium leakage data in the reference time period as verified target statistical data under the condition that the verification result is passed; and determining a response strategy to be adopted currently according to the target statistical data and the reference value corresponding to the reference time interval. Therefore, possible helium leakage can be identified in advance by analyzing the change trend of the helium leakage rate of the primary loop, the early warning time of leakage monitoring is effectively prolonged, and the harmful expansion of a leakage source is avoided.
Description
Technical Field
The disclosure relates to the technical field of nuclear reactors, in particular to a high-temperature gas cooled reactor helium leakage early warning method, device, equipment and storage medium.
Background
Helium is an inert gas and has good heat transfer and heat carrying characteristics, so helium is often used as a primary heat exchange medium of a high-temperature gas cooled reactor. However, helium leaks from the primary pressure boundary components and their associated systems may cause a primary depressurization accident. If the leakage cannot be detected in time and isolation is implemented, a primary circuit is completely decompressed, the reactor coolant is lost, the heat of the reactor core cannot be effectively taken out, and then a shutdown signal is triggered. And the continued leakage of helium will also cause radioactive contamination in the primary circuit cabin.
In the related art, the leakage rate of helium can be determined according to the change of the total helium loading in a related system of a primary circuit in a period of time, and whether the leakage limit value of design control is met or not can be checked. If the total leakage rate exceeds the design control limit, measures are taken to search for the leakage source and restore the leakage rate to within the limit. However, the above process lacks monitoring of the process before the helium leakage rate increases to the limit value, and it is difficult to suppress increase and expansion of the leakage rate in time, which may cause radioactive contamination in the primary circuit cabin. Therefore, how to avoid the harmful expansion of helium leakage source to improve the safety of the primary circuit pressure boundary of the high temperature gas cooled reactor and its connected system is a problem to be solved.
Disclosure of Invention
The disclosure provides a high temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium.
According to one aspect of the disclosure, a high temperature gas cooled reactor helium gas leakage early warning method is provided, which includes:
determining a reference time period according to the time period of the current date in the season and historical maintenance data of the high-temperature gas cooled reactor;
helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are obtained;
performing a normality check on the helium leakage data corresponding to each date in the reference period to determine a check result;
determining each helium leakage data in the reference time period as verified target statistical data under the condition that the verification result is passed;
and determining a response strategy to be adopted currently according to the target statistical data and the reference value corresponding to the reference time interval.
According to a second aspect of the present disclosure, there is provided a high temperature gas cooled reactor helium gas leakage early warning device, including:
the first determination module is used for determining a reference time interval according to the time interval of the current date in the season and historical maintenance data of the high-temperature gas-cooled reactor;
the acquisition module is used for acquiring helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period;
the verification module is used for performing normal verification on the helium leakage data corresponding to each date in the reference period to determine a verification result;
the second determination module is used for determining each helium leakage data in the reference time period as verified target statistical data under the condition that the verification result is passed;
and the third determining module is used for determining the response strategy to be adopted currently according to the target statistical data and the reference value corresponding to the reference time interval.
An embodiment of a third aspect of the present disclosure provides a computer device, including: the present invention relates to a computer program product, and a computer program product stored on a memory and executable on a processor, which when executed by the processor performs a method as set forth in an embodiment of the first aspect of the present application.
A fourth aspect of the present disclosure provides a non-transitory computer-readable storage medium storing a computer program, which when executed by a processor implements the method as set forth in the first aspect of the present disclosure.
A fifth aspect of the present disclosure provides a computer program product, which when executed by an instruction processor performs the method provided in the first aspect of the present disclosure.
In the embodiment of the disclosure, a reference time period is determined according to a time period of a current date in a quarter and historical maintenance data of a high-temperature gas-cooled reactor, helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are obtained, then, the helium leakage data corresponding to each date in the reference time period are subjected to a normality check to determine a check result, then, under the condition that the check result is passed, each helium leakage data in the reference time period is determined to be target statistical data which is passed through the check, and finally, a response strategy to be adopted at present is determined according to the target statistical data and the reference value corresponding to the reference time period. Therefore, possible helium leakage can be identified in advance through analysis of the change trend of the helium leakage rate of the primary loop, the early warning time of leakage monitoring is effectively prolonged, the harmful expansion of a leakage source is avoided, and the time window for searching the leakage source and recovering the leakage rate of the nuclear power station is increased.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic flow chart illustrating a helium leakage warning method for a high temperature gas cooled reactor according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating another method for warning helium leakage in a high temperature gas cooled reactor according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a helium leakage warning device for a high temperature gas cooled reactor according to an embodiment of the present disclosure;
fig. 4 is a block diagram of an electronic device for implementing a helium leakage warning method for a high temperature gas cooled reactor according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The method may be executed by the high temperature gas cooled reactor helium leakage early warning device provided by the present disclosure, and may also be executed by the electronic device provided by the present disclosure, where the electronic device may be a terminal device, such as a user equipment, a mobile device, a user terminal, and the like, and is not limited herein.
The high temperature gas cooled reactor helium gas leakage early warning method, device, computer equipment and storage medium provided by the present disclosure are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a high temperature gas cooled reactor helium gas leakage warning method according to an embodiment of the present disclosure.
As shown in fig. 1, the method for early warning helium leakage of a high temperature gas cooled reactor may include the following steps:
It should be noted that, every certain time, the nuclear power plant needs to be refueled and overhauled, for example, every 18 months. After a nuclear power plant overhaul, maintenance data in the process, such as a maintenance start time and a maintenance end time, may be recorded.
Given that there are four quarters of a year, each quarter comprising three months, the reference period can be further determined by analyzing the period of the current date in the quarter to which it belongs and historical maintenance data for the high temperature gas cooled reactor.
Wherein the helium leak data for each date in the reference period can be used to determine the baseline value. The first quarter may be the quarter in which the current date is.
Alternatively, the apparatus may determine a previous quarter adjacent to the first quarter as the reference period in a case where a time interval between a second quarter to which the repair time in the historical repair data belongs and the first quarter is greater than or equal to one quarter.
For example, the repair time ends at 31 # 3 months, which is the first quarter of the year. Wherein the second quarter may be the quarter in which the maintenance time is located. If the current time is 8/6, the time interval between 3/31 has already satisfied a quarter, and thus the previous quarter of the quarter to which 8 months belongs may be used as a reference period, i.e., a period of time consisting of months 4, 5, and 6, which is not limited herein.
Or, in the case that the time interval between the second quarter to which the repair time in the historical repair data belongs and the first quarter is less than one quarter, and the period of the current date in the first quarter to which the repair time belongs is the first period, the reference period is determined to be the previous quarter adjacent to the first period.
Wherein the first period may be a period of time after the end of the repair of a specified length.
For example, the repair time ends at 31 # 3 months, which is the first quarter of the year. If the current time is month 4 and 6, the time interval between month 3 and month 31 is less than a quarter, so that the quarter before the maintenance can be used as a reference time period, i.e., a time period consisting of months 1, 2 and 3, which is not limited herein.
Or, in the case that the time interval between the second quarter and the first quarter to which the repair time in the historical repair data belongs is less than one quarter, and the period of the current date in the quarter to which the repair time belongs is not the first period, determining the reference period as at least one historical period in the season to which the reference period belongs.
For example, the repair time ends at 31 # 3 months, which is the first quarter of the year. If the current time is 5/6, which does not belong to the first time interval, the time interval between 3/31 is less than one quarter, so at least one historical time interval in the current season may be used as the reference time interval, for example, a time interval from 3/31 to 5/6 may be used as the reference time interval, or 4 months may also be used as the reference time interval, which is not limited herein.
It should be noted that, if the time from the end of the last quarter to the shutdown is less than 3 months, that is, the three-month data cannot be obtained, the obtained data is used to calculate the reference value.
And 102, acquiring helium leakage data corresponding to each date in the reference period and a reference value corresponding to the reference period.
It should be noted that the helium leakage data corresponding to each date in the reference period can be used for analyzing and verifying the leakage trend of helium, so that a technician can increase corresponding maintenance activities or corresponding operations according to the change of the helium leakage rate.
The helium Leakage data can be helium Leakage Rate (LR) of the primary loop and the helium auxiliary system of the high-temperature gas cooled reactor, and the total helium mass can be obtained by adding the helium mass of each part through the acquired pressure data, temperature data and the helium mass of each part of the primary loop system.
Specifically, the operator may calculate the total mass of the helium gas in the primary circuit related system every 24 hours, and then calculate the change rate of the total mass of the helium gas on the day, that is, the helium gas leakage rate LR. For example, this can be represented by the following formula: Δ m ═ m (min m10 days max m10 days)/m 10 days max.
Wherein Δ m is the rate of change of the total mass of helium, the maximum mass of helium within m10 days is the highest mass of helium within the last 10 days, and the minimum mass of helium within m10 days is the lowest mass of helium within the last 10 days.
Wherein the helium mass calculation may be by the following formula:
PV＝(m/M)RT
where P is pressure, V is volume, R is gas constant, T is absolute temperature, M is mass of substance, and M is molar mass.
The reference value may include a reference average value and a reference standard deviation.
Wherein, the calculation of the reference average value is to calculate the arithmetic average value of LR data of a reference time interval, and the calculation method is as follows, wherein x in the formulaiIs LR data for day i, n is the number of LR data in a reference period, i.e. the number of days included in the reference period:
μ＝(x1+x2+…+xn)/n
wherein the standard deviation is calculated for LR data of one operating quarter by the following method, wherein x in the formulaiIs LR data on day i, n is the number of LR data within one reference period:
wherein μ and σ in the above formula are a baseline average and a baseline standard deviation, respectively, of the helium leak rate data for each date over the reference period.
And 103, performing normality check on the helium leakage data corresponding to each date in the reference time period to determine a check result.
It should be noted that, in order to ensure the validity of the analysis, the helium leakage data corresponding to each date in the reference period must be subjected to a normality check, and can be used for trend analysis and establishing a reference value for the next quarter after the normality check is passed. Procedures for normality testing include arithmetic mean and median testing, kurtosis and skewness testing, W-testing and D-testing, and outlier screening.
It should be noted that if the helium leakage data corresponding to each date in the reference time period passes each check, which indicates that the data is normal and reliable, a reference value may be established based on the reference time period, and the current level of helium leakage may be further determined, so as to perform a corresponding response policy.
And step 104, in the case that the verification result is passed, determining each helium leakage data in the reference time period as the target statistical data which has passed the verification.
It should be noted that, if the verification result is that the helium leakage data passes, each piece of helium leakage data in the reference time period may be the target statistical data that has passed the verification, and may be used to analyze the leakage condition of the helium leakage data later.
Or, if the verification result is failed, determining a reference score corresponding to each helium leakage data in a reference time period, further executing a preset analysis strategy to judge whether the helium leakage data is invalid data or not under the condition that an absolute value of the reference score is greater than a preset threshold, and further determining that the response strategy to be taken is a third response strategy under the condition that the judgment result is that the helium leakage data is valid data or under the condition that the judgment result is uncertain.
It should be noted that, if the verification result is that the data is failed, each helium leak data in the reference time period needs to be screened, for example, a reference score corresponding to each helium leak data may be calculated.
In the present disclosure, for convenience of explanation, the reference score is referred to as Zscore, and is not limited herein.
Optionally, in a case that the reference time period belongs to the current quarter, a reference score corresponding to each helium leakage data is determined according to the helium leakage data corresponding to each date in the reference time period, and an arithmetic mean and an absolute median difference of the helium leakage data corresponding to each date in the reference time period.
Specifically, if the reference time period does not belong to the previous quarter, that is, if no reference value for the previous quarter is available, the Zscore value (reference score) may be calculated by using an internal screening method, for example, according to the following formula:
Zscore＝(LR-Mean)/MAD
the LR may be helium leakage data corresponding to any date in a reference period, the Mean may be an average value of the helium leakage data in the reference period corresponding to the current quarter, and the MAD may be an absolute median difference of the helium leakage data in the reference period corresponding to the current quarter.
Or, in the case that the reference time period belongs to the last quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and the arithmetic mean and standard deviation of the helium leakage data corresponding to each date in the reference time period.
It should be noted that if the reference time period belongs to the previous quarter, the external screening method can be used, for example, according to the following calculation formula:
Zscore＝(LR-μ)/σ
wherein μ and σ in the above formula are a baseline average and a baseline standard deviation, respectively, of the helium leak rate data for each date over the reference period.
Optionally, after determining the reference score corresponding to each helium leakage data in each reference period, in case that the absolute value of the reference score is greater than a preset threshold, a preset analysis strategy may be performed to determine whether the helium leakage data is invalid,
as one possible implementation, the Z-score of each helium leak data may be verified to determine ZscoreWhether or not | Z existsscoreThe case of | ≧ 3.0.
If | ZscoreIf the | is less than or equal to 3.0, the data does not participate in calculation when a new reference value is established.Such as | ZscoreIf | ≧ 3.0, that is, the reference score is greater than or equal to the specified value 3, then the daily helium leakage data needs to be analyzed by executing a preset analysis strategy.
For example, the method of analyzing the operation condition, communicating with the operator, and the like can be used for judging whether the helium leakage data in the reference time period is invalid.
The invalid data may be null data or abnormal data, and is not limited herein. If the judgment result is that the helium leakage data is valid data, or the judgment result is uncertain, the response strategy to be adopted can be determined to be a third response strategy.
And 105, determining a response strategy to be adopted currently according to the target statistical data and a reference value corresponding to the reference time interval.
It should be noted that, the technician may continuously count the daily leak rate data, and use the date as the abscissa and the leak rate as the ordinate, and plot the daily leak rate data in the form of scattered points, and plot the reference values (μ, ± 2 σ and ± 3 σ) in the form of straight lines, so as to display the variation trend of the leak rate data in a more intuitive manner.
Alternatively, the response policy to be taken may be determined to be the first response policy in a case where the target statistical data of at least nine adjacent dates in the reference period is higher than the reference average value.
That is, if 9 pieces of target statistical data are continuously higher than the reference average value in the reference period, it may be determined that the response policy to be taken is the first response policy, that is, the leakage response I-class action may be performed, for example, recheck the leakage rate calculation process, contact the operator, consult the reason for influencing the leakage rate change, and the operator continuously pays attention to the leakage rate change until the influencing factor is found, which is not limited herein.
Or, in the case that at least two target statistical data of any three adjacent dates in the reference time period are higher than the reference average value by two times of the reference standard deviation value, determining the response strategy to be adopted as the second response strategy.
That is, if 2 of the 3 consecutive target statistics in the reference period are 2 times higher than the reference mean value by the reference standard deviation value (μ +2 σ), a second response strategy, i.e., a leak response level II action, such as reviewing the evolution of the state of the power plant in the near future to determine any suspicious sources, evaluating the changes in the parameters associated with the helium leak, checking the recent changes in any components of the primary circuit, checking all maintenance activities that may cause an increase in the leak, may be performed, without limitation.
Or, the response strategy to be adopted may be determined to be the third response strategy in the case that the reference score corresponding to the target statistical data at any date in the reference period is higher than the reference average value by three times the reference standard deviation value.
That is, if the individual helium leak data is 3 times the reference standard deviation value (μ +3 σ) above the reference mean value, a third response strategy may be implemented, i.e., leak response class III actions are implemented, such as leak response class I and class II actions and in the event that an increase in the in-containment leak rate is monitored via helium leak related parameters, a plan to enter the containment may be initiated, without limitation.
The helium leakage related parameters comprise a primary circuit pressure negative change rate, a primary circuit pressure container main flange sealing surface leakage monitoring pressure, a primary circuit pressure container electric penetration piece sealing ring leakage monitoring pressure, a primary circuit discharge system safety valve outlet leakage monitoring pressure, a gas radioactivity level in a containment negative pressure ventilation system pipeline, and the content of radionuclide and helium, and are not limited herein.
In the embodiment of the disclosure, a reference time period is determined according to a time period of a current date in a quarter and historical maintenance data of a high-temperature gas-cooled reactor, helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are acquired, then, the helium leakage data corresponding to each date in the reference time period are subjected to a normality check to determine a check result, then, under the condition that the check result is passed, each helium leakage data in the reference time period is determined to be target statistical data which is passed through the check, and finally, a response strategy to be adopted at present is determined according to the target statistical data and the reference value corresponding to the reference time period. Therefore, possible helium leakage can be identified in advance through analysis of the change trend of the helium leakage rate of the primary loop, the early warning time of leakage monitoring is effectively prolonged, the harmful expansion of a leakage source is avoided, and the time window for searching the leakage source and recovering the leakage rate of the nuclear power station is increased.
Fig. 2 is a schematic flow chart of another method for warning helium leakage in a high temperature gas cooled reactor according to an embodiment of the present disclosure.
As shown in fig. 2, the method for early warning helium leakage of a high temperature gas cooled reactor may include the following steps:
And step 202, acquiring helium leakage data corresponding to each date in the reference period and a reference value corresponding to the reference period.
It should be noted that, for specific implementation manners of steps 201 and 202, reference may be made to the above embodiments, and details are not described herein.
And step 203, determining the arithmetic mean value and the median value of the helium leakage data corresponding to each date in the reference time period.
Wherein, the arithmetic mean value is calculated as follows, x in the formulaiIs LR data for day i, n is the number of LR data in a reference period, i.e. the number of days included in the reference period:
μ＝(x1+x2+…+xn)/n
where μ is the arithmetic mean.
And 204, under the condition that the relation among the arithmetic mean value, the median and the number of dates corresponding to the reference time period meets a preset condition, determining a probability density distribution curve corresponding to the helium leakage data corresponding to each date in the reference time period, and a kurtosis value and a deviation value corresponding to the probability density distribution curve.
The preset condition may be a preset condition, which may be a comparison relationship, such as:
wherein Mean is an arithmetic Mean value, Median is a Median value, and N is a date number corresponding to the reference time period.
It is to be noted that if the arithmetic mean, median and reference are used
If the relationship between the number of dates corresponding to the period satisfies the above relationship, the probability density distribution curve corresponding to the helium leakage data corresponding to each date in the reference period, and the kurtosis value and the deviation value corresponding to the probability density distribution curve can be further determined.
Optionally, when the relationship between the arithmetic average, the median, and the number of dates corresponding to the reference time period does not satisfy the preset condition, it is determined that the verification result is failed.
Wherein, Kurt is a characteristic number for representing the peak height of the probability density distribution curve at the average value, and skewness Skew is a measure for the Skew direction and degree of the statistical data distribution.
In step 205, in the case that the kurtosis value is in the first range and the skewness value is in the second range, a w test and a normality D test are performed on the helium leakage data corresponding to each date in the reference period to respectively determine a first check result and a second check result.
It should be noted that the kurtosis value and the skewness value need to be checked, where the first range may be empirically determined to be (-0.75,0.95), and the second range may be | Skew | < +0.5, which is not limited by this disclosure.
Optionally, the verification result may be determined to be failed when the kurtosis value is not in the first range or the skewness value is not in the second range, or the verification result may be determined to be failed when the kurtosis value is not in the first range and the skewness value is not in the second range.
If the kurtosis value is in the first range and the skewness value is in the second range, the w test and the normality D test can be continuously carried out on the helium leakage data corresponding to each date in the reference period.
For the W-test, when the significance level α is taken to be 0.05, W α is taken to be 0.927, and if the normal distribution is satisfied, W > W α. The W value calculation method is as follows:
for the quarterly D-test, D is taken under the condition that the significance level value alpha is 0.05α/2＝-2.57、D1-α/21.28, if normal distribution is met, Dα/2<D<D1-α/2The D value calculation method is as follows:
wherein n is the number of days in the sample, xiIs LR data on day i.
Wherein the first check result is also used to determine whether W is greater than W α, and the second check result is also used to determine whether D satisfies Dα/2<D<D1-α/2。
And step 206, determining that the checking result is passed under the condition that the first checking result and the second checking result are both passed.
It should be noted that the W-test and the D-test refer to whether the monthly normality W-test and the quarterly normality D-test for rechecking the daily leakage rate data satisfy the condition, and if the tests pass, the data passes the normality test, and if any one of the first check result and the second check result is failed, the check may be determined as failed.
Specifically, when both the first check result and the second check result pass, it is determined that the check result passes.
and step 208, determining a response strategy to be adopted currently according to the target statistical data and a reference value corresponding to the reference time interval.
It should be noted that, reference may be made to the foregoing embodiments for specific implementation manners of steps 207 and 208, which are not described herein again.
In the embodiment of the disclosure, a reference time period is determined according to a time period of a current date in a quarter and historical maintenance data of a high-temperature gas cooled reactor, helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are obtained, an arithmetic mean value and a median of the helium leakage data corresponding to each date in the reference time period are determined, then, under the condition that a relation among the arithmetic mean value, the median and the number of dates corresponding to the reference time period meets a preset condition, a probability density distribution curve corresponding to the helium leakage data corresponding to each date in the reference time period, a kurtosis value and a deviation value corresponding to the probability density distribution curve are determined, and under the condition that the kurtosis value is in a first range and the deviation value is in a second range, w inspection and normality D are performed on the helium leakage data corresponding to each date in the reference time period And checking to respectively determine a first checking result and a second checking result, then determining that the checking result is passed if the first checking result and the second checking result are both passed, finally determining that each helium leakage data in the reference time period is target statistical data which is passed through the checking if the checking result is passed, and determining a response strategy to be adopted currently according to the target statistical data and a reference value corresponding to the reference time period. Therefore, possible helium leakage can be identified in advance through analysis of the change trend of the helium leakage rate of the primary loop, the early warning time of leakage monitoring is effectively prolonged, the harmful expansion of a leakage source is avoided, and the time window for searching the leakage source and recovering the leakage rate of the nuclear power station is increased.
Fig. 3 is a schematic structural diagram of a helium leakage warning device for a high temperature gas cooled reactor according to an embodiment of the present disclosure.
As shown in fig. 3, the high temperature gas cooled reactor helium gas leakage early warning apparatus 300 includes a first determining module 310, an obtaining module 320, a verifying module 330, a second determining module 340, and a third determining module 350.
The first determination module 310 is used for determining a reference time period according to the time period of the current date in the season and historical maintenance data of the high-temperature gas-cooled reactor;
an obtaining module 320, configured to obtain helium leakage data corresponding to each date in the reference period and a reference value corresponding to the reference period;
the verification module 330 is configured to perform a normality verification on the helium leakage data corresponding to each date in the reference period to determine a verification result;
a second determining module 340, configured to determine each helium leakage data in the reference time period as a target statistical data that has passed the verification if the verification result is pass;
and a third determining module 350, configured to determine a response policy to be currently taken according to each helium leakage data in the reference time period, and the reference score and the reference value corresponding to the helium leakage data.
Optionally, the first determining module is specifically configured to:
determining a previous quarter adjacent to the first quarter as a reference period in the case that the time interval between a second quarter to which the repair time in the historical repair data belongs and the first quarter is greater than or equal to one quarter;
or, in the case that the time interval between the second quarter to which the maintenance time in the historical maintenance data belongs and the first quarter is less than one quarter, and the period of the current date in the first quarter to which the current date belongs is the first period, determining the reference period as the previous quarter adjacent to the first period;
or, in the case that the time interval between the second quarter and the first quarter to which the maintenance time in the historical maintenance data belongs is less than one quarter, and the period of the current date in the quarter to which the current date belongs is not the first period, determining that the reference period is at least one historical period in the season to which the current date belongs.
Optionally, the verification module includes:
a first determination unit for determining an arithmetic mean and a median of the helium leak data for each date in the reference period;
a second determining unit, configured to determine a probability density distribution curve corresponding to the helium leakage data corresponding to each date in the reference period, and a kurtosis value and a deviation value corresponding to the probability density distribution curve, if a relationship between the arithmetic mean, the median, and the number of dates corresponding to the reference period satisfies a preset condition;
a third determining unit, configured to perform a w test and a normality D test on the helium leakage data corresponding to each date in the reference period to determine a first check result and a second check result, respectively, when the kurtosis value is in a first range and the skewness value is in a second range;
a fourth determining unit, configured to determine that the check result is passed when both the first check result and the second check result are passed.
Optionally, the verification module further includes:
a seventh determining unit, configured to determine a reference score corresponding to each helium leak data in the reference period;
the judging unit is used for executing a preset analysis strategy under the condition that the absolute value of the reference value is larger than a preset threshold value so as to judge whether the helium leakage data is invalid data;
an eighth determining unit, configured to determine that the response policy to be taken is a third response policy when the determination result is that the helium leakage data is valid data or when the determination result is uncertain.
A fifth determining unit, configured to determine that the verification result is failed if a relationship between the arithmetic mean, the median, and the number of dates corresponding to the reference period does not satisfy a preset condition;
and the number of the first and second groups,
a sixth determining unit, configured to determine that the verification result is failed when the kurtosis value is not in the first range and/or the skewness value is not in the second range.
Optionally, the second determining module is specifically configured to:
under the condition that the reference time period belongs to the current quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and an arithmetic mean value and an absolute median difference of the helium leakage data corresponding to each date in the reference time period;
alternatively, the first and second electrodes may be,
and under the condition that the reference time period belongs to the last quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and the arithmetic mean and standard deviation of the helium leakage data corresponding to each date in the reference time period.
Optionally, the reference value includes a reference average value and a reference standard deviation value, and the third determining module is specifically configured to:
determining the response strategy to be adopted as a first response strategy if the target statistical data of at least nine adjacent dates in the reference period is higher than the reference average value;
alternatively, the first and second electrodes may be,
determining the response strategy to be adopted as a second response strategy when at least two target statistical data of any three adjacent dates in the reference time period are higher than the reference average value by two times of the reference standard deviation value;
alternatively, the first and second electrodes may be,
and determining the response strategy to be adopted as a third response strategy when the reference score corresponding to the target statistical data of any date in the reference period is higher than the reference average value by three times the reference standard deviation value.
In the embodiment of the disclosure, a reference time period is determined according to a time period of a current date in a quarter and historical maintenance data of a high-temperature gas-cooled reactor, helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are acquired, then, the helium leakage data corresponding to each date in the reference time period are subjected to a normality check to determine a check result, then, under the condition that the check result is passed, each helium leakage data in the reference time period is determined to be target statistical data which is passed through the check, and finally, a response strategy to be adopted at present is determined according to each helium leakage data in the reference time period, a reference score corresponding to the helium leakage data and the reference value. Therefore, possible helium leakage can be identified in advance through analysis of the change trend of the helium leakage rate of the primary loop, the early warning time of leakage monitoring is effectively prolonged, the harmful expansion of a leakage source is avoided, and the time window for searching the leakage source and recovering the leakage rate of the nuclear power station is increased.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 4 shows a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present disclosure. As shown in fig. 4, the apparatus 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
A number of components in device 400 are connected to I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the embodiment of the disclosure, a reference time period is determined according to a time period of a current date in a quarter and historical maintenance data of a high-temperature gas-cooled reactor, helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are acquired, then, the helium leakage data corresponding to each date in the reference time period are subjected to a normality check to determine a check result, then, under the condition that the check result is passed, each helium leakage data in the reference time period is determined to be target statistical data which is passed through the check, and finally, a response strategy to be adopted at present is determined according to each helium leakage data in the reference time period, a reference score corresponding to the helium leakage data and the reference value. Therefore, possible helium leakage can be identified in advance through analysis of the change trend of the helium leakage rate of the primary loop, the early warning time of leakage monitoring is effectively prolonged, the harmful expansion of a leakage source is avoided, and the time window for searching the leakage source and recovering the leakage rate of the nuclear power station is increased.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (14)
1. A high temperature gas cooled reactor helium gas leakage early warning method is characterized by comprising the following steps:
determining a reference time period according to the time period of the current date in the season and historical maintenance data of the high-temperature gas cooled reactor;
helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period are obtained;
performing a normality check on the helium leakage data corresponding to each date in the reference period to determine a check result;
determining each helium leakage data in the reference time period as verified target statistical data under the condition that the verification result is passed;
and determining a response strategy to be adopted currently according to the target statistical data and the reference value corresponding to the reference time interval.
2. The method of claim 1, wherein determining the reference time period according to the time period of the current date in the season and the historical maintenance data of the high-temperature gas-cooled reactor comprises:
determining a previous quarter adjacent to the first quarter as a reference period in the case that the time interval between a second quarter to which the repair time in the historical repair data belongs and the first quarter is greater than or equal to one quarter;
or, in the case that the time interval between the second quarter to which the maintenance time in the historical maintenance data belongs and the first quarter is less than one quarter, and the period of the current date in the first quarter to which the current date belongs is the first period, determining the reference period as the previous quarter adjacent to the first period;
or, in the case that the time interval between the second quarter and the first quarter to which the maintenance time in the historical maintenance data belongs is less than one quarter, and the period of the current date in the quarter to which the current date belongs is not the first period, determining that the reference period is at least one historical period in the season to which the current date belongs.
3. The method of claim 1, wherein said performing a normality check on said helium leak data for each date in said reference period to determine a check result comprises:
determining an arithmetic mean and median of the helium leak data for each date in the reference period;
under the condition that the relation among the arithmetic mean value, the median and the number of dates corresponding to the reference time period meets a preset condition, determining a probability density distribution curve corresponding to the helium leakage data corresponding to each date in the reference time period, and a kurtosis value and a deviation value corresponding to the probability density distribution curve;
under the condition that the kurtosis value is in a first range and the skewness value is in a second range, performing w test and normality D test on the helium leakage data corresponding to each date in the reference period to respectively determine a first check result and a second check result;
and determining that the checking result is passed under the condition that the first checking result and the second checking result are both passed.
4. The method of claim 3, further comprising:
determining that the verification result is failed under the condition that the relation among the arithmetic mean, the median and the number of dates corresponding to the reference time period does not meet a preset condition;
and the number of the first and second groups,
determining that the verification result is failed if the kurtosis value is not in the first range and/or the skewness value is not in the second range.
5. The method according to any one of claims 1-4, further comprising, after said determining that said verification result is failed:
determining a reference score corresponding to each helium leak data in the reference time period;
executing a preset analysis strategy to judge whether the helium leakage data is invalid data or not under the condition that the absolute value of the reference value is greater than a preset threshold value;
and if the judgment result is that the helium leakage data is valid data, or if the judgment result is uncertain, determining that the response strategy to be adopted is a third response strategy.
6. The method of claim 5, wherein said determining a reference score corresponding to each of said helium leak data in said reference time period comprises:
under the condition that the reference time period belongs to the current quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and an arithmetic mean value and an absolute median difference of the helium leakage data corresponding to each date in the reference time period;
alternatively, the first and second electrodes may be,
and under the condition that the reference time period belongs to the last quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and the arithmetic mean and standard deviation of the helium leakage data corresponding to each date in the reference time period.
7. The method of claim 1, wherein the reference values comprise a reference average value and a reference standard deviation value, and the determining the response strategy to be adopted currently according to the target statistical data and the reference value corresponding to the reference time period comprises:
determining the response strategy to be adopted as a first response strategy if the target statistical data of at least nine adjacent dates in the reference period is higher than the reference average value;
alternatively, the first and second electrodes may be,
determining the response strategy to be adopted as a second response strategy when at least two target statistical data of any three adjacent dates in the reference time period are higher than the reference average value by two times of the reference standard deviation value;
alternatively, the first and second electrodes may be,
and determining the response strategy to be adopted as a third response strategy when the reference score corresponding to the target statistical data of any date in the reference period is higher than the reference average value by three times the reference standard deviation value.
8. The utility model provides a high temperature gas cooled reactor helium leaks early warning device which characterized in that includes:
the first determination module is used for determining a reference time interval according to the time interval of the current date in the season and historical maintenance data of the high-temperature gas-cooled reactor;
the acquisition module is used for acquiring helium leakage data corresponding to each date in the reference time period and a reference value corresponding to the reference time period;
the verification module is used for performing normal verification on the helium leakage data corresponding to each date in the reference period to determine a verification result;
the second determination module is used for determining each helium leakage data in the reference time period as verified target statistical data under the condition that the verification result is passed;
and the third determining module is used for determining the response strategy to be adopted currently according to the target statistical data and the reference value corresponding to the reference time interval.
9. The apparatus of claim 8, wherein the first determining module is specifically configured to:
determining a previous quarter adjacent to the first quarter as a reference period in the case that the time interval between a second quarter to which the repair time in the historical repair data belongs and the first quarter is greater than or equal to one quarter;
or, in the case that the time interval between the second quarter to which the maintenance time in the historical maintenance data belongs and the first quarter is less than one quarter, and the period of the current date in the first quarter to which the current date belongs is the first period, determining the reference period as the previous quarter adjacent to the first period;
or, in the case that the time interval between the second quarter and the first quarter to which the maintenance time in the historical maintenance data belongs is less than one quarter, and the period of the current date in the quarter to which the current date belongs is not the first period, determining that the reference period is at least one historical period in the season to which the current date belongs.
10. The apparatus of claim 8, wherein the verification module comprises:
a first determination unit for determining an arithmetic mean and a median of the helium leak data for each date in the reference period;
a second determining unit, configured to determine a probability density distribution curve corresponding to the helium leakage data corresponding to each date in the reference period, and a kurtosis value and a deviation value corresponding to the probability density distribution curve, if a relationship between the arithmetic mean, the median, and the number of dates corresponding to the reference period satisfies a preset condition;
a third determining unit, configured to perform a w test and a normality D test on the helium leakage data corresponding to each date in the reference period to determine a first check result and a second check result, respectively, when the kurtosis value is in a first range and the skewness value is in a second range;
a fourth determining unit, configured to determine that the check result is passed when both the first check result and the second check result are passed.
11. The apparatus of claim 10, wherein the verification module further comprises:
a fifth determining unit, configured to determine that the verification result is failed if a relationship between the arithmetic mean, the median, and the number of dates corresponding to the reference period does not satisfy a preset condition;
and the number of the first and second groups,
a sixth determining unit, configured to determine that the verification result is failed when the kurtosis value is not in the first range and/or the skewness value is not in the second range.
12. The apparatus of any of claims 8-11, wherein the verification module further comprises:
a seventh determining unit, configured to determine a reference score corresponding to each helium leak data in the reference period;
the judging unit is used for executing a preset analysis strategy under the condition that the absolute value of the reference value is larger than a preset threshold value so as to judge whether the helium leakage data is invalid data;
an eighth determining unit, configured to determine that the response policy to be taken is a third response policy when the determination result is that the helium leakage data is valid data or when the determination result is uncertain.
13. The apparatus according to claim 12, wherein the seventh determining unit is specifically configured to:
under the condition that the reference time period belongs to the current quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and an arithmetic mean value and an absolute median difference of the helium leakage data corresponding to each date in the reference time period;
alternatively, the first and second electrodes may be,
and under the condition that the reference time period belongs to the last quarter, determining a reference score corresponding to each helium leakage data according to the helium leakage data corresponding to each date in the reference time period and the arithmetic mean and standard deviation of the helium leakage data corresponding to each date in the reference time period.
14. The apparatus of claim 8, wherein the reference values comprise a reference mean value and a reference standard deviation value, and the third determining module is specifically configured to:
determining the response strategy to be adopted as a first response strategy if the target statistical data of at least nine adjacent dates in the reference period is higher than the reference average value;
alternatively, the first and second electrodes may be,
determining the response strategy to be adopted as a second response strategy when at least two target statistical data of any three adjacent dates in the reference time period are higher than the reference average value by two times of the reference standard deviation value;
alternatively, the first and second electrodes may be,
and determining the response strategy to be adopted as a third response strategy when the reference score corresponding to the target statistical data of any date in the reference period is higher than the reference average value by three times the reference standard deviation value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111406596.1A CN114334194B (en) | 2021-11-24 | 2021-11-24 | High-temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111406596.1A CN114334194B (en) | 2021-11-24 | 2021-11-24 | High-temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114334194A true CN114334194A (en) | 2022-04-12 |
| CN114334194B CN114334194B (en) | 2023-03-28 |
Family
ID=81046743
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111406596.1A Active CN114334194B (en) | 2021-11-24 | 2021-11-24 | High-temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114334194B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005106492A (en) * | 2003-09-29 | 2005-04-21 | Japan Atom Energy Res Inst | Method of measuring leakage amount of reactor coolant in high-temperature gas furnace |
| WO2007136109A1 (en) * | 2006-05-24 | 2007-11-29 | Cosmo Instruments Co., Ltd. | Leak inspection method and leak inspector |
| US7434987B1 (en) * | 2007-08-01 | 2008-10-14 | Western Digital Technologies, Inc. | Method to detect helium leakage from a disk drive |
| CN102208217A (en) * | 2011-05-19 | 2011-10-05 | 清华大学 | Sealing structure for maintenance of helium circulator of high temperature gas-cooled reactor |
| US20150054650A1 (en) * | 2013-08-21 | 2015-02-26 | Physical Sciences, Inc. | Systems and Methods for Sensitive Open-Path Gas Leak and Detection Alarm |
| CN109163857A (en) * | 2018-08-29 | 2019-01-08 | 清华大学 | A kind of high temperature and pressure helium leakage quantitative testing device and detection method |
| CN109637680A (en) * | 2018-12-11 | 2019-04-16 | 中广核工程有限公司 | Nuclear power station leakage monitoring alarm method and alarm system |
| CN112231893A (en) * | 2020-09-14 | 2021-01-15 | 福建福清核电有限公司 | Method for calculating leakage rate of containment vessel under special working conditions |
| CN112988490A (en) * | 2021-04-21 | 2021-06-18 | 浙江乾冠信息安全研究院有限公司 | Memory leak detection method and device, electronic equipment and medium |
| CN113685736A (en) * | 2021-08-24 | 2021-11-23 | 上海观燃智能科技有限公司 | Method and system for detecting leakage of gas pipeline network based on pressure parameter analysis |
-
2021
- 2021-11-24 CN CN202111406596.1A patent/CN114334194B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005106492A (en) * | 2003-09-29 | 2005-04-21 | Japan Atom Energy Res Inst | Method of measuring leakage amount of reactor coolant in high-temperature gas furnace |
| WO2007136109A1 (en) * | 2006-05-24 | 2007-11-29 | Cosmo Instruments Co., Ltd. | Leak inspection method and leak inspector |
| US7434987B1 (en) * | 2007-08-01 | 2008-10-14 | Western Digital Technologies, Inc. | Method to detect helium leakage from a disk drive |
| CN102208217A (en) * | 2011-05-19 | 2011-10-05 | 清华大学 | Sealing structure for maintenance of helium circulator of high temperature gas-cooled reactor |
| US20150054650A1 (en) * | 2013-08-21 | 2015-02-26 | Physical Sciences, Inc. | Systems and Methods for Sensitive Open-Path Gas Leak and Detection Alarm |
| CN109163857A (en) * | 2018-08-29 | 2019-01-08 | 清华大学 | A kind of high temperature and pressure helium leakage quantitative testing device and detection method |
| CN109637680A (en) * | 2018-12-11 | 2019-04-16 | 中广核工程有限公司 | Nuclear power station leakage monitoring alarm method and alarm system |
| CN112231893A (en) * | 2020-09-14 | 2021-01-15 | 福建福清核电有限公司 | Method for calculating leakage rate of containment vessel under special working conditions |
| CN112988490A (en) * | 2021-04-21 | 2021-06-18 | 浙江乾冠信息安全研究院有限公司 | Memory leak detection method and device, electronic equipment and medium |
| CN113685736A (en) * | 2021-08-24 | 2021-11-23 | 上海观燃智能科技有限公司 | Method and system for detecting leakage of gas pipeline network based on pressure parameter analysis |
Non-Patent Citations (3)
| Title |
|---|
| 蒋慧静;杨小勇;丁铭;王捷;: "10MW高温气冷堆氦气透平循环的泄漏特性分析" * |
| 陆小飞;周芷伟;庄明;吴克平;: "基于质量守恒法的氦泄漏监测方法" * |
| 陈立强;胡守印;陈华;: "HTR-10一回路氦气泄漏率测量方法研究" * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114334194B (en) | 2023-03-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11562114B2 (en) | Apparatus and method for safety analysis evaluation with data-driven workflow | |
| CN108053900B (en) | The method, apparatus and system of Radiation monitoring | |
| CN108009722B (en) | Risk-aware nuclear facility reliability evaluation system and method | |
| CN114398913A (en) | Fuel handling system detection method and device, storage medium and electronic equipment | |
| Tong et al. | Development of Probabilistic Safety Assessment with respect to the first demonstration nuclear power plant of high temperature gas cooled reactor in China | |
| CN111581191B (en) | Nuclear safety data verification method, device, computer equipment and storage medium | |
| CN113743750B (en) | Nuclear power plant process system process risk assessment system and method | |
| WO2019019429A1 (en) | Anomaly detection method, device and apparatus for virtual machine, and storage medium | |
| CN114334194B (en) | High-temperature gas cooled reactor helium gas leakage early warning method, device, equipment and storage medium | |
| Cho et al. | Exhaustive test cases for the software reliability of safety-critical digital systems in nuclear power plants | |
| Qin et al. | RAMI analysis for ITER radial X-ray camera system | |
| CN106531268B (en) | Link arrangement method for nuclear power plant digital accident program | |
| CN115410731A (en) | Reactor entering feasibility analysis method, device and equipment for repairing assembly in reactor | |
| CN106448754B (en) | Periodic test strategy analysis method for passive hydrogen elimination system of containment vessel of nuclear power plant | |
| CN114186872A (en) | Emergency state assessment method and device for nuclear power plant and computer equipment | |
| CN108319573A (en) | A method of judged based on energy statistics data exception and is repaired | |
| CN113919609A (en) | Power distribution network model quality comprehensive evaluation method and system | |
| CN114625731A (en) | Nuclear data cross section library generation method, device, equipment and storage medium | |
| CN113792960A (en) | Event sequence determination and quantitative analysis method in probability safety analysis | |
| Flores et al. | Assessment of damage domains of the high-temperature engineering test reactor (HTTR) | |
| US20240136078A1 (en) | Apparatus and Method for Diganosis and Prediction of Severe Accidents in Nuclear Power Plant using Artificial Intelligence and Storage Medium Storing Instructions to Performing Method for Digonosis and Prediction of Severe Accidents in Nuclear Power Plant | |
| CN113487464B (en) | Nuclear power plant accident management method, device, computer equipment and storage medium | |
| CN116994786A (en) | Online diagnosis method for third-generation passive pressurized water reactor nuclear power station accident | |
| Guptan et al. | Probability safety assessment activities in India for new and advanced reactors | |
| Chiu et al. | A Risk Approach to the Management for the Pre-Defueled Phase in the Decommissioning Transition Stage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20220412 Assignee: HUANENG SHANDONG SHIDAOBAY NUCLEAR POWER Co.,Ltd. Assignor: Huaneng Nuclear Energy Technology Research Institute Co.,Ltd. Contract record no.: X2023110000148 Denomination of invention: Warning method, device, equipment, and storage medium for helium leakage in high-temperature gas cooled reactors Granted publication date: 20230328 License type: Common License Record date: 20231206 |