CN112381242A - Nuclear power station equipment maintenance project data processing method and system - Google Patents
Nuclear power station equipment maintenance project data processing method and system Download PDFInfo
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Abstract
The invention relates to the technical field of nuclear power station equipment management, in particular to a nuclear power station equipment maintenance project data processing method and system. The method comprises the following steps: acquiring all preventive maintenance items and item data of first nuclear power station equipment; recording the preventive maintenance project as an optimizable project when it is determined that the preventive maintenance project does not meet the mandatory maintenance conditions according to the project data; extracting sample data from the first historical repair data and the second historical repair data; extracting equipment monitoring and operating information from project data corresponding to an optimizable project of the first nuclear power plant equipment, inputting the equipment monitoring and operating information and sample data into a preset maintenance project optimization model, obtaining a maintenance project optimization result, and sending the maintenance project optimization result to a preset receiver. The invention reduces the maintenance and management cost, improves the maintenance economy and also avoids excessive maintenance.
Description
Technical Field
The invention relates to the technical field of nuclear power station equipment management, in particular to a nuclear power station equipment maintenance project data processing method and system.
Background
At present, nuclear power plants maintain equipment mainly by means of preventive periodic maintenance, and the maintenance content and period of the preventive maintenance are made by equipment management engineers of the nuclear power plants according to laws and regulations, equipment specifications, equipment operation and the like. The disadvantages of the scheme are that: the preventive regular maintenance period of some equipment is always conservative, and excessive maintenance phenomenon exists, so that the maintenance cost (including material cost, labor cost, production loss cost caused by maintenance and the like) of the equipment is too high, and the maintenance economy is low.
Disclosure of Invention
The embodiment of the invention provides a data processing method and a data processing system for equipment maintenance projects of a nuclear power station.
A nuclear power station equipment maintenance project data processing method comprises the following steps:
acquiring all preventive maintenance projects of first nuclear power plant equipment and project data associated with each preventive maintenance project;
recording the preventive maintenance project as an optimizable project when it is determined that the preventive maintenance project does not satisfy a mandatory maintenance condition according to the project data;
extracting first historical maintenance data from project data corresponding to the optimizable project, and simultaneously extracting second historical maintenance data from project data of second nuclear power plant equipment; the second nuclear power station equipment refers to nuclear power station equipment which is the same as equipment type and operation environment of the nuclear power station to which the first nuclear power station equipment belongs; the second historical maintenance data refers to historical maintenance data corresponding to the optimizable project in project data of second nuclear power plant equipment;
extracting sample data from the first historical maintenance data and the second historical maintenance data according to a preset sample acquisition requirement;
extracting equipment monitoring and operating information from the project data corresponding to the optimizable project of the first nuclear power plant equipment, inputting the equipment monitoring and operating information and the sample data into a preset maintenance project optimization model, obtaining a maintenance project optimization result, and sending the maintenance project optimization result to a preset receiver.
A data processing system for equipment maintenance projects of a nuclear power station comprises a control module, wherein the control module is used for executing the data processing method for the equipment maintenance projects of the nuclear power station.
The invention provides a method and a system for processing nuclear power plant equipment maintenance project data, which are used for acquiring all preventive maintenance projects of first nuclear power plant equipment and project data associated with each preventive maintenance project; when the preventive maintenance project is determined not to meet the mandatory maintenance condition according to the project data, recording the preventive maintenance project as an optimizable project; extracting first historical maintenance data from project data corresponding to the optimizable project, and simultaneously extracting second historical maintenance data from project data of second nuclear power plant equipment; extracting sample data from the first historical maintenance data and the second historical maintenance data according to a preset sample acquisition requirement; extracting equipment monitoring and operating information from project data corresponding to the optimizable project of the first nuclear power plant equipment, inputting the equipment monitoring and operating information and the sample data into a preset maintenance project optimization model, obtaining a maintenance project optimization result, and sending the maintenance project optimization result to a preset receiver. According to the maintenance method and the maintenance system, the maintenance project optimization result of the preventive maintenance project of the first nuclear power station equipment can be obtained, so that after the preventive maintenance project is optimized according to the maintenance project optimization result, the maintenance management cost (including material cost, labor cost, production loss cost caused by maintenance and the like) of the first nuclear power station equipment is reduced, the maintenance economy is improved, and excessive maintenance is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive labor.
FIG. 1 is a flow chart of a method for processing data of a nuclear power plant equipment maintenance project according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of a control module of a nuclear power plant equipment maintenance project data processing system in accordance with an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without any inventive step, are within the scope of the present invention.
The data processing method for the maintenance project of the nuclear power plant equipment, as shown in fig. 1, comprises the following steps:
s10, acquiring all preventive maintenance projects of first nuclear power plant equipment and project data related to each preventive maintenance project; the first nuclear power plant equipment is one of all equipment in the nuclear power plant; the preventive maintenance items are items that need to be periodically subjected to preventive maintenance, the item data includes information related to the items, such as the content and execution period of the preventive maintenance items (i.e., the period for periodically performing maintenance on the preventive maintenance items) and the historical maintenance data for performing the items, and the content and execution period of the preventive maintenance items in the item data may be set in advance according to laws and regulations, equipment specifications, maintenance guidelines, experience of the operating conditions of the equipment, and the like.
In one embodiment, the step S10 includes: calling a preventive maintenance project of first nuclear power plant equipment and project data related to the preventive maintenance project from a database; that is, the preventive maintenance items and their item data may be stored in advance in the database for retrieval at any time when required. In another embodiment, the step S10 includes: the method includes the steps of receiving a preventive maintenance project of first nuclear power plant equipment recorded in a preset recording interface and project data related to the preventive maintenance project. That is, the preventive maintenance project and the project data thereof can also be entered in real time when needed, for example, by manual entry, by real-time entry after monitoring by a monitoring device or by other servers after being in communication connection with other servers. Understandably, under the condition that the obtained data volume is extremely large, most of the data can be stored in advance, and part of the data which changes in real time can be recorded through a preset recording interface (the preset recording interface can be set according to requirements, and each different recording mode can respectively correspond to different recording interfaces) after being obtained in real time. It is understood that step S10 can be performed periodically or after being manually triggered by a preset button (physical or virtual).
S20, recording the preventive maintenance project as an optimizable project when the preventive maintenance project is determined not to meet the mandatory maintenance conditions according to the project data; in step S20, it may be determined whether the preventive maintenance item does not satisfy the mandatory maintenance condition (i.e., belongs to the mandatory regulatory item), and if so, it indicates that the preventive maintenance item is not needed or can not be optimized, and the preventive maintenance item needs to be maintained; if not, the preventive maintenance item is recorded as an optimizable item, and the following step S30 is performed.
Optionally, after the step S10, the method further includes:
detecting whether the project data of the preventive maintenance project contains a law enforcement mark; that is, in this embodiment, if the preventive maintenance item belongs to the law enforcement item, it marks the law enforcement mark; if the preventive maintenance project does not belong to the regulation mandatory project, the preventive maintenance project is marked with a non-mandatory execution identifier.
When the law enforcement mark is included, confirming that the preventive maintenance project meets the mandatory maintenance condition, and recording the preventive maintenance project as a non-optimizable project; that is, if the preventive maintenance item is marked with the mandatory execution identifier, it indicates that the preventive maintenance item satisfies the mandatory maintenance condition, and cannot be optimized.
When the law enforcement mark is not included, the preventive maintenance item is confirmed not to meet the mandatory maintenance condition, that is, if the preventive maintenance item is marked as a non-mandatory execution mark (instead of the law enforcement mark), the preventive maintenance item is not met the mandatory maintenance condition, and can be considered optimally.
Further, after recording the preventive maintenance project as a non-optimizable project, the method further includes: confirming that the preventive maintenance item does not meet a mandatory maintenance condition when detecting that a regulatory mandatory execution identifier in the item data of the preventive maintenance item is switched to a non-mandatory execution identifier; and when the preventive maintenance item is modified into a non-mandatory item in the maintenance regulation corresponding to the preventive maintenance item, automatically switching the regulation mandatory execution identifier of the preventive maintenance item to the non-mandatory execution identifier. That is, since the laws and regulations may be modified, the laws and regulations mandatory item defined in the laws and regulations may not belong to the laws and regulations mandatory item after the modification, and at this time, the identifier thereof needs to be switched, and similarly, the preventive maintenance item not belonging to the laws and regulations mandatory item is defined in the laws and regulations, or the laws and regulations mandatory item may be changed after the laws and regulations are modified, and at this time, the identifier thereof also needs to be switched, and the data processing method for the nuclear power plant equipment maintenance item according to the present invention is correspondingly performed.
S30, extracting first historical maintenance data from project data corresponding to the optimizable project, and extracting second historical maintenance data from project data of second nuclear power plant equipment; the second nuclear power plant equipment refers to nuclear power plant equipment which is the same as equipment type and operation environment of the nuclear power plant to which the first nuclear power plant equipment belongs; the second historical maintenance data refers to historical maintenance data corresponding to the optimizable project in project data of second nuclear power plant equipment;
understandably, the first historical maintenance data and the second historical maintenance data are both historical maintenance data generated in the historical execution process of the optimizable projects corresponding to the first nuclear power plant equipment and the second nuclear power plant equipment. The maintenance period of the nuclear power plant equipment is long, so that the maintenance times of preventive maintenance projects are not large, sample data needed subsequently cannot meet sample collection requirements, meanwhile, due to the fact that errors caused by individual deviation of the equipment occur in the sample data of the single equipment, historical maintenance data of second nuclear power plant equipment, which is the same as the operation environment of the nuclear power plant equipment and the equipment type of the nuclear power plant equipment, are used as the sample data to conduct overall analysis, the sample number of the maintenance samples available for analysis in the sample data is enlarged, and due to the fact that the operation environment of the nuclear power plant equipment is the same as the equipment type of the nuclear power plant equipment, the referential performance and the accuracy of the data can be guaranteed.
S40, extracting sample data from the first historical maintenance data and the second historical maintenance data according to a preset sample acquisition requirement; in this step, the sample collection requirement refers to a requirement for the number of samples of the maintenance samples available for analysis in the sample data (when the number of samples of the maintenance samples available for analysis does not meet a preset sample collection requirement, it indicates that the current execution experience of the project is insufficient, and optimization cannot be performed according to the current execution experience), and when the preset sample collection requirement is met, sample data may be extracted from the first historical maintenance data and the second historical maintenance data according to the number of samples. The priority of the number of extracted samples can be determined according to the completeness of data recorded in the historical execution process of the optimizable project in the first historical maintenance data and the second historical maintenance data. The number of the samples may be set according to the importance of the first nuclear power plant equipment, and then the sample collection requirement may be generated according to the number of the samples.
And S50, extracting equipment monitoring and operating information from the project data corresponding to the optimizable project of the first nuclear power plant equipment, inputting the equipment monitoring and operating information and the sample data into a preset maintenance project optimization model, obtaining a maintenance project optimization result, and sending the maintenance project optimization result to a preset receiver. Understandably, the maintenance project optimization result can be obtained by analyzing and processing a preset maintenance project optimization model. The preset maintenance item optimization model can be determined after carrying out value evaluation (including how to determine the reliability improvement rate of each item and the like) on each preventive maintenance item in advance and carrying out overall analysis on monitoring and operation information of the first nuclear power station equipment, and specifically, the process of obtaining the maintenance item optimization result through the preset maintenance item optimization model in the following can be referred to, and the process is not repeated.
Understandably, the equipment monitoring and operating information of the first nuclear power plant equipment refers to possibility information that the first nuclear power plant equipment performs state monitoring through a preset monitoring means, possibility information that a preventive maintenance fault in an optimizable project of the first nuclear power plant equipment can perform state monitoring through the preset monitoring means, and a preventive maintenance fault in the optimizable project of the first nuclear power plant equipment, and is completely contained in relevant information such as the monitorable fault which can be monitored through state monitoring; thus, based on the above-described equipment monitoring and operational information, it may be first determined whether the optimizable project may be optimized to be more economical; or whether the optimized project is determined whether to be deleted and then the preventive maintenance fault corresponding to the optimized project is optimized to be monitored in a state monitoring mode (namely, the state monitoring mode is used for replacing the preventive maintenance mode in the preventive maintenance project; if the possibility cannot be met, the optimized project cannot be replaced by the state monitoring mode, but needs to be kept for other optimization), so that when the preventive maintenance fault in the optimized project is monitored to be possibly generated, the optimized project is timely intervened and maintained. Typically, condition monitoring requires less cost than preventive maintenance, and condition monitoring can more timely detect equipment failure.
According to the method and the device, the maintenance project optimization result of the preventive maintenance project of the first nuclear power station equipment can be obtained, so that after the preventive maintenance project is optimized according to the maintenance project optimization result, the maintenance management cost (including material cost, labor cost, production loss cost caused by maintenance and the like) of the first nuclear power station equipment is reduced, the maintenance economy is improved, and excessive maintenance is avoided. Meanwhile, the maintenance project optimization result is determined through the equipment monitoring and operation information and the sample data and is sent to the preset receiving party, so that the fault of the first nuclear power station equipment can be monitored more timely and fed back rapidly. The data processing method for the maintenance project of the nuclear power station equipment is already practically applied to the optimization of preventive maintenance projects during the overhaul of a nuclear power station base; in a certain overhaul, 80 preventive maintenance projects with low economical efficiency are cancelled by the data processing method for the equipment maintenance projects of the nuclear power station, and the equipment maintenance cost is greatly saved under the condition of ensuring the safety.
In an embodiment, after the step S50 of sending the maintenance item optimization result to a preset receiving party, the method further includes:
and when a modification instruction fed back by the preset receiver aiming at the maintenance project optimization result is received, updating the project data corresponding to the optimizable project according to modification information corresponding to the maintenance project optimization result contained in the modification instruction.
Optionally, the modification information includes, but is not limited to, one or more of the following modification information:
reducing or extending an execution period of a predictive maintenance project corresponding to the optimizable project for the first nuclear power plant equipment;
deleting the optimizable item for the first nuclear power plant equipment;
creating at least one new preventative scheduled maintenance project for the first nuclear power plant equipment corresponding to the optimizable project.
Understandably, the maintenance item optimization result may be consistent with the modification information, but the modification information may also be adjusted by the preset receiver after being sent to the preset receiver; for example, it may be more conservatively modified for safety reasons (e.g., having a predictive maintenance project execution period shorter than that suggested in the maintenance project optimization results, etc.). For example, the modification information may include both items for shortening the execution period of the predictive maintenance item and creating a new preventive maintenance item.
In an embodiment, the step S40 includes:
extracting a first number of times that the first nuclear power plant equipment executes the optimizable project from the first historical maintenance data;
extracting a second number of times the second nuclear power plant equipment executes the optimizable project from the second historical repair data;
acquiring a sample acquisition requirement associated with the first nuclear power plant equipment, and determining whether the sum of the first number of times and the second number of times is greater than or equal to the number of samples contained in the sample acquisition requirement;
and when the sum of the first times and the second times is greater than or equal to the number of samples contained in the sample collection requirement, confirming that the first historical maintenance data and the second historical maintenance data meet the sample collection requirement, and extracting maintenance samples with the number consistent with the number of the samples from the first historical maintenance data and the second historical maintenance data.
In this step, the sample collection requirement refers to the requirement of the number of samples of the maintenance samples available for analysis in the sample data, and the like; when the number of samples of the maintenance samples available for analysis, that is, the sum of the first number and the second number, meets a preset sample acquisition requirement (greater than or equal to the number of samples included in the sample acquisition requirement), maintenance samples of which the number is consistent with the number of samples can be extracted from the first historical maintenance data and the second historical maintenance data according to the number of samples.
Further, the corresponding sample numbers of the nuclear power plant equipment with different equipment grades are different, for example, when the equipment grade of the first nuclear power plant equipment is respectively C-grade (Critical grade), S-grade (SIGNIFICANT important grade), E-grade (eco economy grade), R-grade (Run to MAINTENANCE grade) equipment, the sample numbers of the MAINTENANCE samples can be respectively set to 8, 6, 4, 2 times; it is understood that the settings of the classification of the nuclear power plant equipment and the number of samples corresponding thereto may be other settings depending on the situation, and are not limited to the above-described embodiment. Preferably, the obtaining of the sample collection requirement associated with the first nuclear power plant equipment comprises: and setting the number of samples for the first nuclear power plant equipment according to the importance of the first nuclear power plant equipment, and generating the sample collection requirement according to the number of the samples. That is, the number of samples may be set according to the importance of the first nuclear power plant equipment, and then the sample collection requirement may be generated according to the number of samples. Of course, the number of samples can be set according to other parameters, such as the damage susceptibility and the like.
In an embodiment, after the determining whether the sum of the first number of times and the second number of times is greater than or equal to the number of samples included in the sample collection requirement, the method further includes:
and when the sum of the first times and the second times is less than the number of samples contained in the sample collection requirement, confirming that the first historical maintenance data and the second historical maintenance data do not meet the sample collection requirement, and recording the preventive maintenance project as a waiting optimization project. That is, when the number of samples of the maintenance samples available for analysis, that is, the sum of the first number of times and the second number of times, does not meet a preset sample collection requirement (is less than the number of samples included in the sample collection requirement), it indicates that the current execution experience of the project is insufficient, and optimization cannot be performed according to the current execution experience).
In one embodiment, the device monitoring and operational information includes device status monitoring data; in step S50, inputting the device monitoring and operating information and the sample data into a preset maintenance item optimization model, and obtaining a maintenance item optimization result, including:
inputting the equipment state monitoring data and the sample data into a preset maintenance project optimization model;
enabling the preset maintenance project optimization model to determine whether the first nuclear power station equipment can carry out state monitoring through a preset monitoring means according to the equipment state monitoring data; the preset monitoring means includes, but is not limited to, any one of on-line monitoring (data monitoring by means of signal transmission), off-line inspection and periodic test (precise spot inspection performed by professional on-bill is not included), such as chemical examination, vibration measurement, in-service inspection and the like.
And when the state monitoring cannot be carried out through a preset monitoring means, the preset maintenance project optimization model carries out value evaluation processing on the optimizable project of the first nuclear power station equipment according to the sample data to obtain a maintenance project optimization result.
The embodiment is a feasibility analysis of equipment state monitoring of first nuclear power plant equipment, and the equipment state monitoring data can be used for representing whether the first nuclear power plant equipment can be subjected to state monitoring through a preset monitoring means; for example, the equipment status monitoring data indicates that the first nuclear power plant equipment is a manual valve or an on-site meter of a reactor plant which cannot be monitored through status monitoring, at this time, since a person cannot enter the reactor during power operation and the equipment cannot reach the reactor, and therefore the person cannot perform inspection, the equipment status monitoring data indicates that the equipment status monitoring cannot be performed through a preset monitoring means, at this time, since the nuclear power plant equipment does not have the preset monitoring means to perform equipment status monitoring, the optimizable item cannot be deleted and is changed into a mode for optimizing the preventive maintenance fault corresponding to the optimizable item to be monitored through the status monitoring, that is, the preventive maintenance mode in the preventive maintenance item cannot be replaced by the status monitoring mode, but needs to be kept for other optimization, and therefore, enabling the preset maintenance project optimization model to perform value evaluation processing on the optimizable project of the first nuclear power station equipment according to the sample data to obtain a maintenance project optimization result; and determining whether the maintenance project needs to be optimized according to the optimization result of the maintenance project.
In one embodiment, the equipment monitoring and operational information further includes monitorable fault data;
after determining whether a preventive maintenance fault in the optimizable project of the first nuclear power plant equipment can be monitored for a state by a preset monitoring means, the method further includes:
when the state monitoring can be carried out through a preset monitoring means, enabling the preset maintenance project optimization model to determine whether preventive maintenance faults in the optimizable project of the first nuclear power plant equipment are completely contained in the monitorable faults or not according to the equipment state monitoring data; the monitorable fault refers to a fault which can be monitored in a state monitoring mode; for example, the equipment state monitoring data indicates that the first nuclear power plant equipment is a nuclear power plant instrument control transmitter, and since a signal of the nuclear power plant instrument control transmitter can be sent to a nuclear power plant control system for display, the equipment state monitoring data indicates that the equipment state monitoring data can meet the feasibility of equipment state monitoring, and therefore, it is necessary to continuously determine whether all preventive maintenance faults (that is, whether all the preventive maintenance faults are covered) in the optimizable project can be fault monitored in a state monitoring manner according to the equipment state monitoring data. Understandably, for time-dependent aging faults, they cannot generally be monitored by means of condition monitoring, but need to be retained in preventive maintenance projects; for random faults that are not time-dependent, it may be considered more appropriate to be able to and should be monitored by means of condition monitoring; at this time, the equipment state monitoring data may be set to indicate a degree of correlation between each preventive maintenance failure occurrence cause of the first nuclear power plant equipment and time.
And when the data is not completely contained in the monitorable fault, the preset maintenance item optimization model is used for carrying out value evaluation processing on the optimizable item of the first nuclear power plant equipment according to the sample data to obtain a maintenance item optimization result. That is, when it is determined that all preventive maintenance failures in the optimizable project cannot be monitored in the state monitoring manner (that is, all the preventive maintenance failures are not covered), at this time, it is described that the optimizable project cannot be deleted and the preventive maintenance failures corresponding to the optimizable project are optimized to be monitored in the state monitoring manner, that is, the preventive maintenance manner in the preventive maintenance project cannot be replaced by the state monitoring manner, but needs to be kept for other optimization, so that the preset maintenance project optimization model performs value evaluation processing on the optimizable project of the first nuclear power plant equipment according to the sample data to obtain a maintenance project optimization result; and determining whether the maintenance project needs to be optimized according to the optimization result of the maintenance project.
In one embodiment, the equipment monitoring and operating information further includes serviceability data;
said determining whether a preventive maintenance fault in the optimizable project for the first nuclear power plant equipment is fully contained in monitorable faults further comprises:
when the first nuclear power plant equipment is completely contained in the monitorable faults, enabling the preset maintenance project optimization model to determine whether preventive maintenance faults in the optimizable project of the first nuclear power plant equipment can be repaired during the daily power operation of the nuclear power plant according to the maintainability data; after determining that all preventive maintenance faults (i.e., all preventive maintenance faults covering all the preventive maintenance faults) in the optimizable project can be fault-monitored by means of state monitoring according to the equipment state monitoring data, it still needs to be determined whether the preventive maintenance faults can be repaired during the routine power operation of the nuclear power plant (if the preventive maintenance faults cannot be repaired on a routine basis, the preventive maintenance modes in the preventive maintenance project cannot be replaced by the state monitoring modes, and only the preventive maintenance modes can be maintained). Wherein the serviceability data may be used to characterize whether a preventive maintenance fault in the optimizable project for the first nuclear power plant equipment can be repaired during normal power operation of the nuclear power plant; such as: the information can indicate that the first nuclear power plant equipment is nuclear power plant equipment in a reactor plant (the radiation dose in the reactor plant is high, the radiation dose is equipment which is inaccessible to personnel, the default is to repair the equipment during the daily power operation of the nuclear power plant, and the equipment can be repaired only by stopping the reactor) or the information such as the nuclear power plant equipment which does not have a standby column and keeps running (the equipment can be repaired only by stopping the reactor), and the information can indicate whether the first nuclear power plant equipment can be repaired during the daily power operation.
And when the nuclear power plant cannot be repaired in the daily power operation period, the preset maintenance project optimization model is used for evaluating the value of the optimizable project of the first nuclear power plant equipment according to the sample data to obtain a maintenance project optimization result.
The embodiment is to perform daily maintainability analysis on first nuclear power plant equipment, and since maintainability data can indicate whether the first nuclear power plant equipment can be repaired during daily power operation, when the first nuclear power plant equipment cannot be repaired during the daily power operation of the nuclear power plant, it is indicated that the optimizable item cannot be deleted and is converted into a mode of optimizing a preventive maintenance fault corresponding to the optimizable item to be monitored in a state monitoring mode, that is, the preventive maintenance mode in the preventive maintenance item cannot be replaced by the state monitoring mode, but needs to be kept for other optimization, so that the preset maintenance item optimization model performs value evaluation processing on the optimizable item of the first nuclear power plant equipment according to the sample data to obtain a maintenance item optimization result; and determining whether the maintenance project needs to be optimized according to the optimization result of the maintenance project.
In an embodiment, after determining whether a preventive maintenance fault in the optimizable project of the first nuclear power plant equipment can be repaired during normal power operation of the nuclear power plant, the method further comprises:
and when the repair can be carried out during the daily power operation of the nuclear power plant, enabling the preset maintenance item optimization model to output a maintenance item optimization result containing deletion suggestion information of the optimizable item of the first nuclear power plant equipment. Since the preventive maintenance fault in the optimizable item of the first nuclear power plant equipment can be repaired during the routine power operation of the nuclear power plant, it is indicated that the optimizable item can be deleted and the preventive maintenance fault corresponding to the optimizable item can be optimized to be monitored in a state monitoring manner, that is, the state monitoring manner can be used to replace the preventive maintenance manner in the preventive maintenance item, at this time, the optimizable item of the first nuclear power plant equipment is directly deleted, and then, a state monitoring strategy is customized according to the deletion recommendation information, so that the preventive maintenance fault in the optimizable item of the first nuclear power plant equipment can be monitored in the state monitoring manner.
In an embodiment, the performing, according to the sample data, value evaluation processing on the optimizable item of the first nuclear power plant equipment to obtain a maintenance item optimization result includes:
firstly, acquiring the reliability improvement rate of an optimizable project of the first nuclear power plant equipment; the reliability improvement rate is the average value of the first failure frequency and the second failure frequency; the first failure number refers to an average value of failure numbers of the first nuclear power plant equipment in the sample data (namely, in historical maintenance data) in an execution period of each predictive maintenance project; the second number of failures is an estimate of the number of failures in the execution cycle of a predictive maintenance project. The reliability improvement rate R is an improvement value of the reliability of the equipment after the first nuclear power plant equipment performs the preventive maintenance project (i.e., performs the preventive maintenance). The reliability improvement rate R is positively correlated with the equipment failure frequency, namely the higher the equipment failure frequency is, the higher the value of the preventive maintenance project is, and the higher the reliability improvement rate of the preventive maintenance project is; therefore, the reliability improvement rate R can be expressed by the equipment failure rate R' positively correlated therewith (it is considered that both are equal). In this embodiment, the historical failure rate and the estimated failure rate of the device are considered in an integrated manner, and the failure rate R' of the device is defined as: and the expected value of the failure times of the equipment in a single execution cycle is the average value of the first failure times and the second failure times.
Understandably, the sample data corresponding to the first failure times comprises first historical maintenance data and second historical maintenance data, and the first historical maintenance data and the second historical maintenance data respectively comprise maintenance reports of first nuclear power plant equipment and second nuclear power plant equipment and daily failures. Preferably, in the sample data, in the fault statistics of the first failure times of the first nuclear power plant equipment in the execution cycle of each predictive maintenance project, the faults corresponding to the first failure times include faults of two levels, namely degradation and substantial faults, wherein the degradation refers to slight defect faults which do not affect the function and operation of the equipment at all (meet the preset maintenance standard); and the fault exceeding the preset maintenance standard is regarded as a substantial fault. Different types of equipment, differing from pre-set maintenance criteria for substantial failure, degrade. Taking a valve as an example, disassembling and maintaining the valve, and if the valve seat is found to have an indentation, polishing and repairing the valve seat, and marking the valve seat as degraded; if the valve seat is found to be worn and needs to be replaced, the valve seat is marked as a substantial fault; taking a pressure transmitter as an example, a slight drift is marked as degraded, and a greater degree of drift beyond the validation (or verification) criteria is marked as failed, which is a substantial failure.
Further, the statistics of the number of first failures are screened with reference to the following criteria: for the nuclear power station equipment with unchanged and improved functional position, distinguishing the faults of the functional position, and counting the faults corresponding to the improved position in the counting process of the first fault times; for a failure of a nuclear power plant equipment due to a failure of its support system, the failure event should be treated as a substantial failure of its corresponding support system, rather than a substantial failure of the nuclear power plant equipment; if the failure is caused by a human error after testing, repair, such an event should not be included in the statistics of the first number of failures of the device hardware; and continuous failures of the same nuclear power plant equipment in a short time are regarded as the same failure event. In addition, failures occurring in the nuclear power plant equipment in the test are identified after maintenance and are treated according to the continuation of the initial failures, and repeated statistics are not carried out.
Optionally, the calculation model of the first failure number is: n ═ N + H; wherein: n is the first failure count, a is the degradation count, H is the substantial failure count, and N is the influence factor of degradation, and preferably, the influence factor N of degradation is 1/3.
To assist in describing the above-mentioned equipment failure rate R', the definition and calculation process thereof are described in table 1. Understandably, the equipment failure rate R' can be updated in real time according to specific relevant parameters.
TABLE 1 Equipment failure Rate for a class C device
And then, determining a maintenance project optimization result of the optimizable project of the first nuclear power plant equipment according to the reliability improvement rate. Understandably, the repair absolute value F ═ B × R is set. Wherein F is the absolute value of maintenance; b is fault loss cost information; r is reliability improvement rate; the higher the equipment classification of the nuclear power plant equipment is, that is, the higher the importance degree is, the larger the corresponding fault loss cost information B is, at this time, the higher the requirement on the reliability of the nuclear power plant equipment is, the less the required fault rate is. Therefore, the simplified value evaluation can be performed through the reliability improvement rate (namely, the equipment failure rate), and the acquisition process of the maintenance absolute value F is converted into the value evaluation process combining the equipment classification and the equipment failure rate (namely, the reliability improvement rate) of the nuclear power plant equipment. As an example, the relationship between the equipment classification, the number of samples, the equipment failure rate, and the final maintenance item optimization result of the nuclear power plant equipment may be clarified with reference to table 2 below, where canceling an item refers to deleting the preventive maintenance item.
TABLE 2 Absolute value evaluation Table for maintenance
In an embodiment, the determining, according to the reliability improvement rate, a maintenance item optimization result of an optimizable item of the first nuclear power plant equipment includes:
obtaining preventive maintenance cost information and functional loss value information of the optimizable project of the first nuclear power plant equipment; the preventive maintenance cost information C is the sum of labor cost and spare part cost, and can be directly inquired in an SAP system (production management system) of the nuclear power plant. The function loss value information depends on the equipment functions of specific nuclear power station equipment, and for the nuclear power station equipment, the function loss value information is mainly determined by parameters such as direct cost of power generation loss, risk cost and the like; thus, for the above-mentioned class E and class R devices, the function loss value estimation values are set to 0; for C-level and S-level equipment, the direct cost of power generation loss is the product of the power of the generator and the shutdown maintenance time; the risk cost is the probability value of the probability security analysis risk multiplied by the influence value of the risk event; when the risk cost is difficult to estimate, the power generation loss cost of the C-level equipment can be directly set to be 100 thousands; the risk cost of a class S device is 50 ten thousand. Recording the preset multiple of the preventive maintenance cost information as the fault maintenance cost information of the optimizable project, and determining the fault loss cost information according to the functional loss value information and the fault maintenance cost information; the preset times can be determined according to cost increase data caused by factors such as personnel preparation work tickets, personnel waiting for work and the like. Preferably, the preset multiple is 3; at this time, the breakdown maintenance cost loss is 3 times of the preventive maintenance cost information. The failure loss cost information B is the sum of the function loss value information and the failure maintenance cost information.
Recording the product of the fault loss cost information and the reliability improvement rate as a maintenance absolute value; that is, the repair absolute value F ═ B × R. Wherein F is the absolute value of maintenance; b is fault loss cost information; r is reliability improvement rate; since the higher the equipment classification of the nuclear power plant equipment is, that is, the higher the importance degree is, the larger the corresponding fault loss cost information B is, at this time, the higher the requirement for the reliability of the nuclear power plant equipment is, the less the required fault rate is.
And recording the ratio of the maintenance absolute value to the preventive maintenance cost information as a maintenance relative value, and determining a maintenance project optimization result according to the maintenance relative value. That is, the maintenance relative value V ═ F/C; wherein F is the absolute value of maintenance; and C is preventive maintenance cost information.
Further, the object of the maintenance activity is to maintain the state of the equipment, not to add value to the equipment, and therefore the comparative reference value of the maintenance relative value V is set to 1, that is, to indicate that the maintenance value is equal to the maintenance cost. Therefore, in the invention, if the finally obtained maintenance relative value V is in a dead zone between 0.5 and 1.5, which indicates that the maintenance activity value and the equipment reliability state are basically balanced, the current state of the current preventive maintenance project is kept and is not optimized and adjusted; if the relative maintenance value V is greater than 1.5, the relative maintenance value V indicates that the maintenance activity value is too large, the equipment reliability state is poor, the execution period of the preventive maintenance items is shortened (for example, the execution period is shortened from 2 years to 1 year), or the preventive maintenance items are newly added (considering the shortage of the current preventive maintenance items, other types of preventive maintenance items are newly added); if the relative maintenance value V is less than 0.5, the maintenance activity value is too small, the reliability state of the equipment is good, and the preventive maintenance period should be prolonged or the preventive maintenance items should be deleted. In view of the importance of the safety of the nuclear power plant, the principle of implementing the cycle extension is preferably as follows: the execution cycle of the preventive maintenance project is prolonged for no more than 2 years, and the prolonging ratio is less than 25% of the original execution cycle; so as to ensure the safety of the nuclear power station operation.
In an embodiment, a data processing system for equipment maintenance projects of a nuclear power plant is provided, where the data processing system for equipment maintenance projects of a nuclear power plant corresponds to one of the data processing methods for equipment maintenance projects of a nuclear power plant in the above embodiments. The nuclear power station equipment maintenance project data processing system comprises a control module, and the control module is used for executing the nuclear power station equipment maintenance project data processing method.
In one embodiment, the control module is a computer device, and the internal structure thereof can be as shown in fig. 2. The control module includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the control module is configured to provide computational and control capabilities. The memory of the control module comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the operating system and execution of computer-readable instructions in the non-volatile storage medium. The computer readable instructions, when executed by a processor, implement a method for processing nuclear power plant equipment maintenance project data.
In one embodiment, a computer readable storage medium is provided, having computer readable instructions stored thereon, which when executed by a processor, implement the steps of the above-described nuclear power plant equipment maintenance project data processing method.
It will be understood by those of ordinary skill in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with computer readable instructions, which can be stored in a non-volatile computer readable storage medium, and when executed, can include processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), Direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM).
It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units or modules is merely illustrated, and in practical applications, the foregoing function distribution may be performed by different functional units or modules as needed, that is, the internal structure of the control module of the system is divided into different functional units or modules to perform all or part of the above-described functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the present invention, and are intended to be included within the scope thereof.
Claims (15)
1. A nuclear power station equipment maintenance project data processing method is characterized by comprising the following steps:
acquiring all preventive maintenance projects of first nuclear power plant equipment and project data associated with each preventive maintenance project; recording the preventive maintenance project as an optimizable project when it is determined that the preventive maintenance project does not satisfy a mandatory maintenance condition according to the project data;
extracting first historical maintenance data from project data corresponding to the optimizable project, and simultaneously extracting second historical maintenance data from project data of second nuclear power plant equipment; the second nuclear power plant equipment refers to nuclear power plant equipment which is the same as equipment type and operation environment of the nuclear power plant to which the first nuclear power plant equipment belongs; the second historical maintenance data refers to historical maintenance data corresponding to the optimizable project in project data of second nuclear power plant equipment;
extracting sample data from the first historical maintenance data and the second historical maintenance data according to a preset sample acquisition requirement;
extracting equipment monitoring and operating information from project data corresponding to the optimizable project of the first nuclear power plant equipment, inputting the equipment monitoring and operating information and the sample data into a preset maintenance project optimization model, obtaining a maintenance project optimization result, and sending the maintenance project optimization result to a preset receiver.
2. The nuclear power plant equipment maintenance project data processing method of claim 1, wherein the equipment monitoring and operating information includes equipment status monitoring data;
the step of inputting the equipment monitoring and operation information and the sample data into a preset maintenance project optimization model to obtain a maintenance project optimization result comprises the following steps:
inputting the equipment state monitoring data and the sample data into a preset maintenance project optimization model;
enabling the preset maintenance project optimization model to determine whether the first nuclear power station equipment can carry out state monitoring through a preset monitoring means according to the equipment state monitoring data; the preset monitoring means comprises any one of nuclear power station online monitoring, nuclear power station offline inspection and nuclear power station periodic test;
and when the state monitoring cannot be carried out through a preset monitoring means, the preset maintenance project optimization model carries out value evaluation processing on the optimizable project of the first nuclear power station equipment according to the sample data to obtain a maintenance project optimization result.
3. The nuclear power plant equipment maintenance project data processing method of claim 2, wherein the equipment monitoring and operational information further includes monitorable fault data;
after determining whether a preventive maintenance fault in the optimizable project of the first nuclear power plant equipment can be monitored for a state by a preset monitoring means, the method further includes:
when the state monitoring can be carried out through a preset monitoring means, enabling the preset maintenance project optimization model to determine whether preventive maintenance faults in the optimizable project of the first nuclear power plant equipment are completely contained in the monitorable faults or not according to the equipment state monitoring data; the monitorable fault refers to a fault which can be monitored in a state monitoring mode;
and when the data is not completely contained in the monitorable fault, the preset maintenance item optimization model is enabled to carry out value evaluation processing on the optimizable item of the first nuclear power plant equipment according to the sample data to obtain a maintenance item optimization result.
4. The nuclear power plant equipment maintenance project data processing method of claim 3, wherein the equipment monitoring and operational information further includes serviceability data;
said determining whether a preventive maintenance fault in the optimizable project for the first nuclear power plant equipment is fully contained in monitorable faults further comprises:
when the first nuclear power plant equipment is completely contained in the monitorable faults, enabling the preset maintenance project optimization model to determine whether preventive maintenance faults in the optimizable project of the first nuclear power plant equipment can be repaired during the daily power operation of the nuclear power plant according to the maintainability data;
and when the nuclear power plant cannot be repaired in the daily power operation period, the preset maintenance project optimization model is used for carrying out value evaluation processing on the optimizable project of the first nuclear power plant equipment according to the sample data to obtain a maintenance project optimization result.
5. The nuclear power plant equipment repair project data processing method of claim 4, wherein, after determining whether a preventative repair failure in the optimizable project for the first nuclear power plant equipment can be repaired during normal power plant operation, further comprising:
and when the repair can be carried out during the daily power operation of the nuclear power plant, enabling the preset maintenance item optimization model to output a maintenance item optimization result containing deletion recommendation information of the optimizable item of the first nuclear power plant equipment.
6. The method for processing the nuclear power plant equipment maintenance project data according to any one of claims 2 to 5, wherein the performing value evaluation processing on the optimizable project of the first nuclear power plant equipment according to the sample data to obtain a maintenance project optimization result includes:
obtaining the reliability improvement rate of the optimizable item of the first nuclear power plant equipment; the reliability improvement rate is the average value of the first failure frequency and the second failure frequency; the first failure times refer to the average value of the failure times of the first nuclear power plant equipment in the sample data within the execution period of each predictive maintenance project; the second failure number refers to a predicted value of the failure number in the execution period of a predictive maintenance project;
and determining a maintenance item optimization result of the optimizable item of the first nuclear power plant equipment according to the reliability improvement rate.
7. The method for processing the nuclear power plant equipment maintenance project data according to claim 6, wherein the determining the maintenance project optimization result of the optimizable project of the first nuclear power plant equipment according to the reliability improvement rate includes:
obtaining preventive maintenance cost information and functional loss value information of the optimizable project of the first nuclear power plant equipment;
recording the preset multiple of the preventive maintenance cost information as the fault maintenance cost information of the optimizable project, and determining the fault loss cost information according to the functional loss value information and the fault maintenance cost information;
recording the product of the fault loss cost information and the reliability improvement rate as a maintenance absolute value;
and recording the ratio of the maintenance absolute value to the preventive maintenance cost information as a maintenance relative value, and determining a maintenance project optimization result according to the maintenance relative value.
8. The method for processing the data of the nuclear power plant equipment maintenance items according to claim 1, wherein after the sending the maintenance item optimization result to a preset receiver, the method further comprises:
and when a modification instruction fed back by the preset receiver aiming at the maintenance project optimization result is received, updating the project data corresponding to the optimizable project according to modification information corresponding to the maintenance project optimization result contained in the modification instruction.
9. The nuclear power plant equipment repair project data processing method of claim 8, wherein the modification information includes one or more of the following modification information:
reducing or extending an execution period of a predictive maintenance project corresponding to the optimizable project for the first nuclear power plant equipment;
deleting the optimizable item for the first nuclear power plant equipment;
creating at least one new preventative scheduled maintenance project for the first nuclear power plant equipment corresponding to the optimizable project.
10. The nuclear power plant equipment maintenance project data processing method of claim 1, wherein the acquiring all preventive maintenance projects of the first nuclear power plant equipment and project data associated with each of the preventive maintenance projects includes:
calling a preventive maintenance project of first nuclear power plant equipment and project data related to the preventive maintenance project from a database; or/and
the method includes the steps of receiving a preventive maintenance project of first nuclear power plant equipment recorded in a preset recording interface and project data related to the preventive maintenance project.
11. The nuclear power plant equipment maintenance project data processing method of claim 1, wherein after acquiring all preventive maintenance projects of the first nuclear power plant equipment and project data associated with each of the preventive maintenance projects, further comprising:
detecting whether the project data of the preventive maintenance project contains a law enforcement mark;
when the law enforcement mark is included, confirming that the preventive maintenance project meets the mandatory maintenance condition, and recording the preventive maintenance project as a non-optimizable project;
confirming that the preventive maintenance item does not satisfy the mandatory maintenance condition when the regulatory mandatory execution identifier is not included.
12. The method for processing the data of the nuclear power plant equipment maintenance project according to claim 1, wherein the extracting sample data from the first historical maintenance data and the second historical maintenance data according to a preset sample acquisition requirement includes:
extracting a first number of times the first nuclear power plant equipment executes the optimizable item from the first historical maintenance data;
extracting a second number of times the second nuclear power plant equipment executes the optimizable item from the second historical repair data;
acquiring a sample acquisition requirement associated with the first nuclear power plant equipment, and determining whether the sum of the first number of times and the second number of times is greater than or equal to the number of samples contained in the sample acquisition requirement;
and when the sum of the first times and the second times is greater than or equal to the number of samples contained in the sample collection requirement, confirming that the first historical maintenance data and the second historical maintenance data meet the sample collection requirement, and extracting maintenance samples with the number consistent with the number of the samples from the first historical maintenance data and the second historical maintenance data.
13. The nuclear power plant equipment repair project data processing method of claim 12, wherein after confirming whether the sum of the first number of times and the second number of times is greater than or equal to the number of samples included in the sample collection request, the method further comprises:
and when the sum of the first times and the second times is less than the number of samples contained in the sample collection requirement, confirming that the first historical maintenance data and the second historical maintenance data do not meet the sample collection requirement, and recording the preventive maintenance project as a waiting optimization project.
14. The nuclear power plant equipment repair project data processing method of claim 12, wherein the obtaining a sample acquisition requirement associated with the first nuclear power plant equipment comprises:
and setting the number of samples for the first nuclear power plant equipment according to the importance of the first nuclear power plant equipment, and generating the sample collection requirement according to the number of the samples.
15. A nuclear power plant equipment maintenance project data processing system, characterized by comprising a control module for executing the nuclear power plant equipment maintenance project data processing method of any one of claims 1 to 14.
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| CN112819241A (en) * | 2021-02-22 | 2021-05-18 | 苏州热工研究院有限公司 | Nuclear power plant equipment supervision and predictive health management method |
| CN113776831A (en) * | 2021-08-31 | 2021-12-10 | 广东核电合营有限公司 | Method for evaluating effectiveness of monitoring technology of steam turbine bearing and computer terminal |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112819241A (en) * | 2021-02-22 | 2021-05-18 | 苏州热工研究院有限公司 | Nuclear power plant equipment supervision and predictive health management method |
| CN113776831A (en) * | 2021-08-31 | 2021-12-10 | 广东核电合营有限公司 | Method for evaluating effectiveness of monitoring technology of steam turbine bearing and computer terminal |
| CN113776831B (en) * | 2021-08-31 | 2024-04-05 | 广东核电合营有限公司 | Method for evaluating effectiveness of monitoring technology of turbine bearing and computer terminal |
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