CN113221374A - Sample data generation method for reliability analysis of nuclear power equipment - Google Patents
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Abstract
本发明公开了一种核电设备可靠性分析的样本数据生成方法，该方法包括以下步骤，根据核电站设备包含的状态类别，将核电设备分为三类：分别监测并记录以上三类设备的全部历史状态及状态变更时间。根据以上三类设备的历史状态及运行变更时间，分别统计从前一次故障/维修状态结束后到后一次故障/维修状态开始前或更新计算时刻，获得这一时间段内的某一状态持续时间，并计算出相应的随机截尾样本数据和统计量。该方法利用设备运行历史记录，根据不同的设备状态，统计设备运行寿命数据，生成的样本数据用于设备寿命分布参数估计。
The invention discloses a method for generating sample data for reliability analysis of nuclear power equipment. The method includes the following steps: according to the state categories contained in the nuclear power equipment, the nuclear power equipment is divided into three categories: monitoring and recording all the history of the above three types of equipment respectively. Status and status change time. According to the historical status and operation change time of the above three types of equipment, statistics are obtained from the end of the previous fault/maintenance status to the start of the next fault/maintenance status or the update calculation time to obtain the duration of a certain status within this time period. And calculate the corresponding random censored sample data and statistics. The method utilizes the equipment operation history records to count the equipment operation life data according to different equipment states, and the generated sample data is used to estimate the equipment life distribution parameters.
Description
Technical Field
The invention relates to the technical field of automatic management of nuclear power plant equipment, in particular to a sample data generation method for the reliability of nuclear power plant equipment.
Background
At present, reliability data of nuclear power station equipment is manually collected through a work order system, the running time of the equipment is calculated from a maintenance operation work order of the equipment, failure times and accumulated running time are counted, and more labor cost needs to be consumed. Real-time risk monitoring requires time-dependent equipment reliability parameters, and requires detailed statistics on life data of each equipment in life, which is derived from equipment state history. The amount of information that needs to be processed for long-term accumulated device status history and huge device quantities is even greater.
The digital instrument control system of the nuclear power station provides a convenient condition for automatic acquisition of equipment state, monitors the equipment state change in real time through the equipment state monitoring system, and accurately records the equipment state change history.
Disclosure of Invention
The invention aims to provide a sample data generation method for nuclear power equipment reliability analysis.
The invention is realized by the following technical scheme in order to achieve the purpose:
a sample data generation method for nuclear power equipment reliability analysis comprises the following steps:
s1, according to the state types of the nuclear power plant equipment, dividing the nuclear power plant equipment into the following three types:
the first type of device is a rotating active type of device, and the first type of device comprises the following states: operation, standby, maintenance, failure and test;
the second type of equipment is switch valve type equipment, and the second type of equipment comprises the following states: opening, closing, maintenance, failure and testing;
the third type of equipment is passive equipment, and the third type of equipment comprises the following states: operation, maintenance, failure and testing;
and S2, monitoring and recording all historical states and state change time of the three types of equipment.
And S3, respectively counting the time from the end of the previous fault/maintenance state to the start of the next fault/maintenance state or the updating calculation time according to the historical state and the operation change time of the three types of equipment, obtaining the duration time of a certain state in the time period, and calculating corresponding random truncation sample data and statistic.
Further, the operation duration time is obtained in a time period from the end of the previous fault/maintenance state to the start of the next fault/maintenance state or before the update calculation time of the fault sample data statistics of the first type of equipment, and the operation duration time comprises the operation state duration time and the test operation time in the test state.
Further, the available time of the equipment requirement is obtained in the time period from the end of the previous fault/maintenance state to the start of the next fault/maintenance state or the time of updating the calculation time of the fault sample data statistics of the second type of equipment.
Further, the demand availability time is two, the first being the valve open/switch off state duration; the second is the valve off/on state duration.
Further, the running state duration is acquired in a time period from the end of one fault/maintenance state to the start of the next fault/maintenance state or the time of updating the calculation time by using the fault sample data statistics of the third type of equipment.
Further, the method also comprises the following steps of counting the required times of the equipment:
counting the required times of the first type of equipment: the required times are the times of converting the standby state into the running state, the times of converting the running state into the standby state and the required failure times;
counting the required times of the second type of equipment: the required times are the times of switching from the off/on state to the on/off state + the times of switching from the on/off state to the off/on state + the times of failure required;
the third class of devices does not count demand failures.
Further, the method also includes counting a total runtime of the device:
the total running time of the first type of equipment comprises the duration of the running state in the statistical time period and the total time of the test running time in the test state;
the total operation time of the second type of equipment comprises the total time of the valve in opening and closing and the switch in disconnection and connection states;
the total operation time of the third type of equipment is the sum of the time when the equipment is in the operation state.
Further, the maintenance states of the three types of equipment comprise a preventive maintenance state and a corrective maintenance state, the corrective maintenance state occurs after the fault mode occurs, and the total repair time of the equipment fault is the sum of the time of the corrective maintenance state.
Further, the failure modes include failure to operate and failure to demand, and the total repair time for the corresponding equipment failure includes the total repair time to operate and the total repair time to demand.
Further, the total repair time of the operation failure includes a sum of corrective maintenance time after the occurrence of the failure of the operation failure and corrective maintenance time after the occurrence of the operation failure of the operation test in the test state;
the total repair time for a demand failure includes the sum of the corrective repair time after the failure of the demand failure occurred and the corrective repair time after the demand failure occurred in the running test in the test state.
Compared with the prior art, the method divides the nuclear power station equipment into three types according to the state space contained in the nuclear power station equipment, calculates the equipment life sample data from the operation historical record acquired by the automatic state monitoring of the nuclear power station, and the equipment starting operation time, the exiting operation time and the fault occurrence time are all random, so the sample data are random end-cutting data. According to different equipment types, the method generates sample data and statistic for updating the reliability parameters of the nuclear power station equipment. The method automatically generates sample data for updating and calculating the equipment reliability parameters, ensures the consistency of the equipment operation history and the accuracy of parameter updating and calculating, does not lose the equipment service life data, reduces human errors, and has positive significance for evaluating the equipment reliability of the nuclear power station.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a time state diagram of a first class of devices according to an embodiment of the present invention;
FIG. 3 is a time state diagram of a second type of device according to an embodiment of the present invention;
FIG. 4 is a time state diagram of a third class of devices according to an embodiment of the present invention;
fig. 5 is a time state diagram of a first type device according to another embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
As shown in fig. 1, the sample data generation method for nuclear power equipment reliability analysis of the present invention includes the following steps:
s1, according to the state types of the nuclear power plant equipment, dividing the nuclear power plant equipment into the following three types:
the first type of equipment is rotating active equipment, such as a pump, a fan, a motor and the like, and comprises the following states: operation, standby, maintenance, failure and test;
the second type of equipment is switch valve type equipment, such as equipment such as an electric appliance switch and a pipeline valve, and the second type of equipment comprises the following states: opening, closing, maintenance, failure and testing;
the third type of equipment is passive equipment, such as water tank, heat exchanger and electronic components, and the state that third type of equipment contains has: operation, maintenance, failure and testing;
s2, respectively monitoring and recording all historical states and state change time of the three types of equipment;
and S3, respectively counting the time from the end of the previous fault/maintenance state to the start of the next fault/maintenance state or the updating calculation time according to the historical state and the operation change time of the three types of equipment, obtaining sample data of the duration time of a certain state in the time period, and calculating corresponding random truncation sample data and statistic. As shown in fig. 2 to fig. 5, time state corresponding diagrams of a first type device, a second type device and a third type device in the embodiment are respectively shown.
Preferably, the maintenance states of the first type of equipment, the second type of equipment and the third type of equipment each include a preventive maintenance state and a corrective maintenance state, and the total repair time of the equipment fault after the fault mode occurs is the sum of the time of the corrective maintenance states.
Preferably, the operation duration time is obtained from the time period from the end of the previous fault/maintenance state to the start of the next fault/maintenance state or the time of updating the calculation time of the fault sample data statistics of the first type of equipment, and the operation duration time includes the operation state duration time and the test operation time in the test state. And acquiring available time required by the equipment in a time period from the end of the previous fault/maintenance state to the start of the next fault/maintenance state or the time of updating the calculation time by using the fault sample data statistics of the second type of equipment.
Further preferably, the demand availability time is two, the first being a valve open/switch off state duration; the second is the valve off/on state duration.
Specifically, the running state duration is acquired in a time period from the end of one fault/maintenance state to the start of the next fault/maintenance state or the time of updating the calculation time of the fault sample data statistics of the third type of equipment.
Examples
A) Counting run-time samples of the first type of device:
as shown in fig. 2, from the end of the last "preventive maintenance"/"corrective maintenance" state to the next equipment "preventive maintenance"/"failure" state or to the "update calculation time", the sum of the times in the "running" state is recorded, and the time is taken as sample data tai of parameter estimation and recorded as a sample value (T in the figure represents time), and an operation time sample tai of the first type of equipment is calculated:
ta1＝T1-T0，
ta2＝T5-54，
ta3 is the total time for which the device is in the "running" state during the "test" state period [ T7, T8],
ta4＝T10-T9。
B) counting run-time samples of a second class of devices
As shown in fig. 3, from the end of the last "preventive maintenance"/"corrective maintenance" state to the next equipment "preventive maintenance"/"failure" state or to the "update calculation time", the sum of the times in the demand available state (including "valve open"/"switch off", "valve close"/"switch on") is recorded, and the time is used as sample data tbi for parameter estimation and recorded as a sample value, and an operation time sample tbi of the first type of equipment is calculated:
tb1＝T1-T0，
tb2＝T4-T2，
tb3＝T6-T5。
C) counting valve on/off state duration samples for a second class of devices
As shown in fig. 4, from the end of the last "preventive maintenance"/"corrective maintenance" state to the next equipment "preventive maintenance"/"failure" state or to the "update calculation time", the duration of the "valve-on"/"switch-off" state is referred to as a valve-on/switch-off state duration sample value tci, and the valve-on/switch-off state duration sample tci is calculated with the failure mode in fig. 2 as "unable to remain on":
tc1＝T4-T3，
tc2＝T6-T5。
D) statistics of valve off/on duration samples for a second class of devices
From the end of the last "preventive maintenance"/"corrective maintenance" state to the next equipment "preventive maintenance"/"failure" state or to the "update calculation time", the duration of the "valve off"/"switch on" state is denoted as a valve off/switch on state duration sample tdi, and with the failure mode in fig. 2 as "no hold off", the valve off/switch on state duration sample tdi is calculated:
td1＝T1-T0，
td2＝T3-T2。
E) counting run-time samples of a third class of devices
As shown in fig. 4, from the end of the last "preventive maintenance"/"corrective maintenance" state to the next equipment "preventive maintenance"/"failure" state or to the "update calculation time", the sum of the times in the "running" state is recorded, and the time is taken as sample data tei of parameter estimation and recorded as sample value, and the running time sample tei of the third type of equipment is calculated:
te1＝T1-T0，
te2＝T3-T2，
te3＝T5-T4。
the method also comprises the statistics of the required times of the equipment, and after the sample data is calculated, the statistics such as the required times of the equipment and the like also needs to be counted, and the specific method comprises the following steps: 1) determining the class of the equipment, which refers to the classification method of the equipment; 2) when the device status is switched in the "change history" table, the "required times" calculation should be performed according to the following table mapping rule.
The description is made for different types of devices:
counting the required times of the first type of equipment:
a demand failure includes both a startup failure that occurs when standby is switched to run and an on-demand shutdown failure that occurs when run is switched to standby, then:
each time the device happensStandby to run or run to standbyRefreshing the required times and adding 1;
whenever the equipment fails and the failure mode is "demand failure (both startup failure occurring on standby to run and demand outage failure occurring on run to standby)", the number of times the equipment demands is increased by 1.
Therefore, the required number of the first type of device is the number of standby state to running state + the number of running to standby state + the number of demand failure.
Counting the required times of the second type of equipment:
the number of demands of the second type of device includes the number of demands for off/on to on/off switching and the number of demands for on/off to off/on switching. The second type of device state includes: valve closing/switch on, valve opening/switch off, failure, test, preventive maintenance, corrective maintenance.
The required number of times for the off/on to on/off transition of the second type of device:
adding 1 to the number of times that the device is turned "off/on state to on/off state" every time the device is turned "off/on state to on/off state;
when the equipment cannot be switched from the off/on state to the on/off state according to requirements, namely fault modes such as Rejection (RO), water-passing operation rejection (CO) and the like occur, the' number of times of on/off according to requirements (the number of times of fault modes such as RO, CO and the like) is increased by 1.
Therefore, the required number of off/on to on/off transitions of the second type of device is the required number of off/on to on/off state transitions + the number of times of on/off failure as required (the number of times of occurrence of failure modes such as RO and CO).
The number of times required for turning on/off to off/on the second type of device:
adding 1 to the number of times of the device ' on/off state conversion or off/on state ' every time the device ' on/off state conversion or off/on state conversion is performed;
when the equipment fails to be switched from the on/off state to the off/on state as required, namely fault modes such as switch Rejection (RC) and switch over water running switch rejection (CC) occur, the' number of times of switching off/on as required (the number of times of fault modes such as RC and CC occur) "is increased by 1.
Therefore, the number of times of on/off transition to off/on requirement of the second type of device is the number of times of on/off state transition to off/on state + the number of times of off/on failure (the number of times of failure mode occurrence such as RC, CC, etc.) as required.
Total required number for the second type of device:
every time the closed/on state of the equipment is converted into the open/off state, refreshing the frequency that the closed/on state of the equipment is converted into the open/off state and adding 1;
every time the on/off state of the equipment is converted into the off/on state, refreshing the number of times that the on/off state of the equipment is converted into the off/on state of the equipment and adding 1;
the "total demand failure number (the number of occurrences of failure modes such as CP)" is refreshed and incremented by 1 whenever the device fails to be turned from the off/on state to the on/off state or from the on/off state to the off/on state as required, i.e., a failure mode such as stuck-at (CP) occurs.
Therefore, the total required times of the second type of devices is the number of times of on/off state transition to off/on state + number of times of off/on state transition to on/off state + total required failure times (the number of times of occurrence of a failure mode such as CP).
The third class of devices does not count demand failures.
Further preferred for the method of the present invention, further comprising counting the total running time of the device:
the total running time of the first type of equipment comprises the duration of the running state in the statistical time period and the total time of the test running time in the test state;
the total operation time of the second type of equipment comprises the total time of the valve in opening and closing and the switch in disconnection and connection states;
the total operation time of the third type of equipment is the sum of the time when the equipment is in the operation state.
Taking the calculation of the total operation time of the first type of device as an example, as shown in fig. 1, the operation time samples of the first type of device are tai and the total operation time TA:
ta1＝T1-T0，
ta2＝T5-54，
ta3 is the total time for which the device is in the "running" state during the "test" state period [ T7, T8],
ta4＝T10-T9，
TA＝Σtai＝ta1+ta2+ta3+ta4。
the method can also count the total repair time of the specific fault mode of the nuclear power equipment, wherein the total repair time of the specific fault mode of the equipment is the sum of the time of all the equipment in the 'corrective maintenance' state corresponding to a specific fault mode of the equipment.
Preferably, the failure modes include failure to operate and failure to demand, and the total repair time for the corresponding equipment failure includes the total repair time to operate and the total repair time to demand.
Preferably, the total repair time of the operation failure comprises the sum of the corrective maintenance time after the failure of the operation failure occurs and the corrective maintenance time after the operation failure occurs in the operation test in the test state;
the total repair time for a demand failure includes the sum of the corrective repair time after the failure of the demand failure occurred and the corrective repair time after the demand failure occurred in the running test in the test state.
Taking the first type of device as an example, as shown in fig. 5, for the first type of device, there are 2 failure modes: the total repair time of the first type of equipment is divided into "total repair time for operational failure" and "total repair time for demand failure".
The total repair time for the first type of device to operate a failure is calculated as follows, with a sample of the repair time to operate a failure tyi and a total repair time to operate a failure TY:
ty1＝T5-T4，
ty2 is the total time for the device to enter the "corrective maintenance" state after the occurrence of a failure in operation when the device is in the "run" test during the "test" state period [ T6, T7],
TY＝Σtyi＝ty1+ty2。
the total repair time for the first type of device for the demand failure is calculated as follows, with the repair time for the demand failure sample txi and the total repair time for the demand failure TX:
tx1 is the total time for the equipment to enter the "corrective maintenance" state after the failure of the transport demand occurs when the equipment is in the "demand" test during the "test" state period [ T6, T7],
tx2＝T9-T8，
TX＝Σtxi＝tx1+tx2。
the embodiments of the present invention are merely illustrative and not restrictive, and those skilled in the art can modify the embodiments without inventive contribution as required after reading the present specification, but the present invention is protected by patent law within the scope of the appended claims.
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