CN112819241A - Nuclear power plant equipment supervision and predictive health management method - Google Patents
Nuclear power plant equipment supervision and predictive health management method Download PDFInfo
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Abstract
The invention relates to a nuclear power plant equipment supervision and predictive health management method, which comprises the following steps: establishing equipment class supervision and predictive management projects of the equipment; optimizing the current preventive maintenance outline according to the equipment supervision and predictive management project; according to the equipment supervision and predictive management project, a predictive maintenance report is made by adopting a preset period; supervisory and predictive management of nuclear power plant equipment is performed based on predictive maintenance reports. The invention can carry out unified management on equipment of the nuclear power plant, can carry out continuous or regular effective monitoring and evaluation on the state of the equipment, can carry out planned maintenance before the equipment fails, reduces the period of unplanned corrective maintenance and helps to optimize preventive maintenance projects, improves the reliability and the availability of the equipment, prolongs the service life of the equipment, reduces the maintenance cost of the equipment, and can ensure the safe, reliable and economic operation of the equipment under the coverage of equipment supervision and predictive health management technology.
Description
Technical Field
The invention relates to the technical field of equipment management, in particular to a nuclear power plant equipment supervision and predictive health management method.
Background
The statistical accounting of the equipment maintenance cost of the nuclear power plant shows that the equipment maintenance cost of the nuclear power plant is very high at present, which brings great cost burden to production and operation, and even influences the normal operation of the nuclear power plant by more serious persons.
The problem that the equipment maintenance cost of the nuclear power plant is too high is that the conventional nuclear power plant lacks equipment type unified management and has high repetitive work; and a scientific equipment supervision and management method is lacked, and the equipment state cannot be effectively evaluated.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for supervising and predictively managing health of equipment in a nuclear power plant, aiming at the above-mentioned defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a nuclear power plant equipment class supervision and predictive health management method is constructed, and comprises the following steps:
establishing equipment class supervision and predictive management projects of the equipment;
optimizing a current preventive maintenance outline according to the equipment class supervision and predictive management project;
according to the equipment supervision and predictive management project, a predictive maintenance report is made by adopting a preset period;
supervising and predictively managing the nuclear power plant equipment based on the predictive maintenance report.
Preferably, the formulating equipment class supervision and predictive management items of the equipment comprise:
analyzing the failure mode and failure mechanism of the equipment according to an industry template;
and formulating a preventive maintenance template and/or a predictive maintenance template of the equipment class of the nuclear power plant according to the analysis result.
Preferably, said optimizing the current preventive maintenance schema according to said equipment class supervision and predictive management project comprises:
and optimizing the current preventive maintenance outline by implementing the equipment class supervision and predictive management project by referring to the preventive maintenance template or the predictive maintenance template.
Preferably, said optimizing the current preventive maintenance outline comprises: suggesting to cancel the current preventative maintenance outline, suggesting to extend the current preventative maintenance cycle, and suggesting to maintain the current preventative maintenance outline.
Preferably, said optimizing the current preventive maintenance schema according to said equipment class supervision and predictive management project comprises: optimizing the current preventive maintenance outline by adopting a comprehensive quantitative analysis method;
or, a simple quantitative analysis method is adopted to optimize the current preventive maintenance outline.
Preferably, the optimizing the current preventive maintenance outline by using the comprehensive quantitative analysis method comprises:
according to the relationship between the comprehensive analysis index and the severity of the fault influence, the fault occurrence probability and the detection rate of effective intervention;
determining a comprehensive analysis index value;
and optimizing the current preventive maintenance outline according to the comprehensive analysis index value.
Preferably, the determining the value of the integrated analysis index comprises:
acquiring the severity of the fault influence, the probability of the fault and the detection rate of effective intervention;
and multiplying the severity of the fault influence, the probability of the fault occurrence and the detection rate of the effective intervention, wherein the product of the severity of the fault influence, the probability of the fault occurrence and the detection rate of the effective intervention is the comprehensive analysis index value.
Preferably, the optimizing the current preventive maintenance outline according to the comprehensive analysis index value includes:
if the comprehensive analysis index value is smaller than a first preset value, the current preventive maintenance outline is recommended to be cancelled;
if the comprehensive analysis index value is larger than or equal to a first preset value and smaller than a second preset value, the current preventive maintenance period is recommended to be prolonged;
and if the comprehensive analysis index value is smaller than a second preset value, suggesting to keep the current preventive maintenance outline.
Preferably, the method further comprises:
if the current preventive maintenance outline is as follows: and recommending to cancel and prolong the current preventive maintenance period, and executing a preventive maintenance outline edition upgrading process.
Preferably, the executing preventive maintenance outline upgrading process comprises:
determining specific equipment;
setting monitoring parameters and criteria of the specific equipment according to the determined specific equipment;
determining a monitoring method of the specific equipment according to the monitoring parameters and the criteria;
supervising the specific equipment based on the monitoring method;
acquiring supervision data, and performing data analysis on the supervision data;
evaluating the state of the specific equipment according to the data analysis result;
and outputting a state evaluation result.
Preferably, the predictive repair report includes: performance indicators for measuring results of the predictive maintenance activities.
Preferably, the performance indicators include: device status statistics, unexpected failure events within a predictive repair technology scope, device anomalies discovered by predictive repair, quality of predictive repair decisions, amount of predictive repair technology inspection execution, and predictive repair technology inspection execution rate.
The nuclear power plant equipment supervision and predictive health management method, device and electronic equipment have the following beneficial effects: the method comprises the following steps: establishing equipment class supervision and predictive management projects of the equipment; optimizing the current preventive maintenance outline according to the equipment supervision and predictive management project; according to the equipment supervision and predictive management project, a predictive maintenance report is made by adopting a preset period; supervisory and predictive management of nuclear power plant equipment is performed based on predictive maintenance reports. The invention can carry out unified management on equipment of the nuclear power plant, can carry out continuous or regular effective monitoring and evaluation on the state of the equipment, can carry out planned maintenance before the equipment fails, reduces the period of unplanned corrective maintenance and helps to optimize preventive maintenance projects, improves the reliability and the availability of the equipment, prolongs the service life of the equipment, reduces the maintenance cost of the equipment, and can ensure the safe, reliable and economic operation of the equipment under the coverage of equipment supervision and predictive health management technology.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a schematic flow chart of a nuclear power plant equipment class supervision and predictive health management method according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flow chart of an alternative embodiment of each embodiment of a nuclear power plant equipment class supervision and predictive health management method provided by the present invention. The equipment class referred to by the invention is equipment classified according to the type or types of the equipment, namely, the invention is supervision and predictive management on various types of equipment or equipment of the same type in a nuclear power plant.
As shown in fig. 1, the method for supervising and predictively managing the health of the nuclear power plant equipment class includes:
and S101, establishing equipment class supervision and predictive management items of the equipment.
Wherein, before preparing the device class supervision and predictive management project of the device, the method may comprise: analyzing the failure mode and failure mechanism of the equipment according to an industry template; and formulating a preventive maintenance template and/or a predictive maintenance template of the equipment class of the nuclear power plant according to the analysis result.
Specifically, preventive maintenance templates (PM templates) and predictive maintenance templates (PdM templates) can be prepared according to actual conditions. That is, when the PM template and the PdM template exist, the PM template and the PdM template can be directly applied, and when the PM template and the PdM template do not exist, the PM template and the PdM template need to be formulated.
Further, when the PM template and the PdM template are formulated, the equipment PM template and/or the equipment PdM template of the nuclear power plant can be formulated by referring to industry templates such as PM basis (preventive basis) of EPRI and the like according to the equipment classification result and analyzing a fault mode, a fault mechanism and the like of equipment.
In some embodiments, in the process of formulating the PM template and/or the PdM template, an existing advanced monitoring technology in the industry needs to be considered, for a nuclear power plant which is not popularized with related technologies, the advanced monitoring technology can be realized through investigation and gradual introduction, sensors can be gradually added to some key devices through transformation, and the PdM template and the PM template are periodically upgraded by combining with implementation of new monitoring technologies and sensor addition.
Further, in the embodiment of the present invention, the formulation of the device class supervision and predictive management project may be implemented by:
specifically, according to information such as equipment classification, a PM template and/or a PdM template, a corresponding relation between an equipment operation parameter and a fault, a corresponding relation between a typical equipment adopting an equipment class supervision and predictive management technology and the like, equipment industry supervision and predictive management items and/or requirements of the equipment can be formulated in relevant outlines such as preventive maintenance, periodic tests, in-service inspection and the like.
And S102, optimizing the current preventive maintenance outline according to the equipment supervision and predictive management project.
In particular, in some embodiments, the current preventive maintenance schema may be optimized by implementing equipment class supervision and predictive management programs by referencing either the preventive maintenance template or the predictive maintenance template.
Generally, optimizing a current preventive maintenance outline includes: suggesting to cancel the current preventative maintenance outline, suggesting to extend the current preventative maintenance cycle, and suggesting to maintain the current preventative maintenance outline. Wherein, the proposal of prolonging the current preventive maintenance period is to coexist the current preventive maintenance outline project and the equipment class supervision and predictive management project, and simultaneously, the preventive maintenance period is prolonged.
It should be noted that if there is no PM template or PdM template in some nuclear power plants, the existing time-based maintenance task can be optimized according to the experience in the industry and the established equipment supervision and predictive management project; wherein, the optimization needs to be established for scientific evaluation on the premise of reliability analysis and superposition of reliability data support.
Further, optimizing the current preventive maintenance outline according to the equipment class supervision and predictive management project can be generally realized by adopting two methods:
firstly, optimizing the current preventive maintenance outline by adopting a comprehensive quantitative analysis method.
And secondly, optimizing the current preventive maintenance outline by adopting a simple quantitative analysis method.
Optimizing the current preventive maintenance outline using comprehensive quantitative analysis may include the steps of:
according to the relationship between the comprehensive analysis index and the severity of the fault influence, the fault occurrence probability and the detection rate of effective intervention;
determining a comprehensive analysis index value;
and optimizing the current preventive maintenance outline according to the comprehensive analysis index value.
Wherein determining the value of the integrated analysis index comprises: acquiring the severity of the fault influence, the probability of the fault and the detection rate of effective intervention; and multiplying the severity of the fault influence, the probability of the fault occurrence and the detection rate of the effective intervention, wherein the product of the severity of the fault influence, the probability of the fault occurrence and the detection rate of the effective intervention is a comprehensive analysis index value.
Specifically, the mathematical expression can be expressed as:
RPN＝SEV*PROB*DET。
wherein, RPN represents the comprehensive analysis index, which is the comprehensive analysis index of fault influence, fault probability and monitoring and detecting rate; SEV represents the severity of the fault effect, which may apply a device classification to the device severity; PROB represents the probability of the failure occurring; DET represents a detection rate at which significant intervention can occur.
By calculating the RPN value, the optimization result for the current preventive maintenance outline can be determined. The method specifically comprises the following steps: if the comprehensive analysis index value is smaller than the first preset value, the current preventive maintenance outline is recommended to be cancelled; if the comprehensive analysis index value is larger than or equal to the first preset value and smaller than a second preset value, the current preventive maintenance period is recommended to be prolonged; and if the comprehensive analysis index value is smaller than the second preset value, suggesting to keep the current preventive maintenance outline. Wherein the first preset value is 10, and the second preset value is 50. That is, if RPN is less than 10, the current preventive maintenance outline may be determined to suggest cancellation; if RPN is more than or equal to 10 and less than 50, the current preventive maintenance outline can properly prolong the period; if RPN is greater than or equal to 50, the current preventive maintenance outline is maintained.
The optimization of the current preventive maintenance outline by adopting a comprehensive quantitative analysis method can be realized by the following modes:
for equipment with short running time and without receiving corresponding historical data, a simple quantitative analysis method can be adopted, and in the equipment, due to the fact that no running experience data exists, the equipment cannot be judged to be recommended to be cancelled; for SEV less than or equal to 6, and theoretically managed by monitoring, it is decided to recommend preventive maintenance cycle extension.
Further, after the optimization of the current preventive maintenance outline is completed, if the current preventive maintenance outline is: and recommending to cancel and prolong the current preventive maintenance period, and executing a preventive maintenance outline edition upgrading process.
Specifically, the process of executing the preventive maintenance outline edition upgrading comprises the following steps: determining specific equipment; setting monitoring parameters and criteria of the specific equipment according to the determined specific equipment; determining a monitoring method of specific equipment according to the monitoring parameters and criteria; monitoring specific equipment based on a monitoring method; acquiring supervision data, and performing data analysis on the supervision data; evaluating the state of the specific equipment according to the data analysis result; and outputting a state evaluation result.
For the maintenance tasks which are suggested to be cancelled and have a prolonged period, firstly, the corresponding specific equipment is determined based on the maintenance tasks, and then the monitoring parameters and the criteria of the equipment are set according to the determined specific equipment. The monitoring parameters and the rules of the specific equipment can be set in a platform or offline EXCEL table, and the monitorable parameters can be identified for the main fault mode influencing the equipment criticality grading according to the PdM template or the fault mode of the equipment and the influence analysis result. Furthermore, the monitoring parameters of the specific equipment are set to the monitoring points, the acceptance criteria are determined as clear as possible, and the influence of subjective factors is reduced. In addition, in the setting process, design and manufacturing files of equipment, industry standards, external experience feedback, relevant monitoring standards formulated by technical support departments of nuclear power plants and other information can be combined for reference and setting.
Next, a monitoring method of the specific device is determined. Wherein, in the determining process of the monitoring method, the device parameters or system parameters which need to be clearly monitored are combined with the existing monitoring means of the field device to formulate the monitoring parameters, the monitoring technology and procedure which are prepared for parameter monitoring, and the monitoring mode is determined (generally, the monitoring mode includes but is not limited to continuous monitoring, regular monitoring, and monitoring only when the device is started or stopped); the monitoring frequency can be determined according to the speed of the development speed of the main fault mode of the equipment, generally, monitoring is required to be ensured to find fault precursors in time, and strategic maintenance can be arranged after the fault precursors are found to ensure the availability of the equipment. In addition, in the monitoring method, specific positions and data acquisition modes need to be determined for data sources of each monitoring parameter. Generally, data sources may include, but are not limited to, maintenance history, operational history, online real-time data, and the like.
Then, the specific device is supervised according to the determined monitoring method. For the task of discontinuous monitoring, on-site monitoring can be implemented through task management, and monitoring can be generally completed by the responsibility of personnel responsible for relevant measurement or analysis.
And further, acquiring supervision data in the supervision process, and performing data analysis on the supervision data. By performing data analysis, state-based information of the nuclear power plant equipment may be provided. In particular, if the analysis shows no adverse performance degradation trend, support may be provided for the postponement of preventive maintenance tasks. Once a problem is found through analysis, a corresponding status report is initiated, the device status is evaluated, and then recommended action items and priorities are determined. In addition, by trend analysis of the supervisory data, condition-based data of the nuclear power plant equipment can also be provided, which can also support the postponement of preventive maintenance tasks if the trend analysis shows no adverse performance degradation. Wherein the supervision data may be obtained by: including but not limited to periodic data acquisition by online continuous monitoring systems and portable data acquisition systems, equipment baseline data must be recommended for trend analysis after new equipment installation and major equipment maintenance, or changes in equipment inspection cycles can be verified by trend analysis of monitoring equipment failure rates.
And finally, performing state evaluation on the specific equipment according to the data analysis result and outputting a state evaluation result. Specifically, the system is recorded after obtaining the relevant monitoring point data, the system judges whether the monitoring point is normal according to a preset normal range, if the monitoring point data is abnormal, further investigation is needed for the condition that the parameter of the equipment is lower than the alarm value but the change trend is obvious, and the information collection frequency is increased. Typically, for 3 months prior to a unit overhaul, a pre-overhaul state assessment is provided for equipment that has been subject to equipment class supervision and predictive management, and a overhaul recommendation and associated work schedule are determined.
And further, evaluating the equipment state according to the state of the monitoring point, and finally recommending an equipment state evaluation report. Specifically, after all required data can be collected by using a relevant platform, trend comprehensive analysis is carried out on all parameters, the PdM state of the equipment is obtained according to the evaluation result of each monitoring point and the corresponding weight, and the reliability and the availability of the equipment are evaluated by combining the actual running state of the equipment. If the equipment state does not meet the requirements, a state report is initiated according to the abnormal degree of the equipment, and corresponding actions are selected (such as establishing a new monitoring plan, even generating a working instruction for maintenance and the like); if the equipment state is poor (if the mark is red), an alarm is output to remind relevant workers to pay attention to and understand in time.
By evaluating the state, the following adjustments may be made:
such as re-selecting the best monitoring technique; adjusting acceptance criteria; adjusting equipment class supervision and predictive management items, content or frequency; triggering strategic maintenance items, and defining the objects, contents, timing and the like of the strategic maintenance items.
And step S103, making a predictive maintenance report by adopting a preset period according to the equipment supervision and predictive management project.
And S104, supervising and predictively managing the nuclear power plant equipment based on the predictive maintenance report.
Optionally, in the embodiment of the present invention, the preset period is less than or equal to one month. By setting the preset period within one month, the tracking of data, information and states can be ensured to be in place, so that the problems that the tracking is not in place due to the overlong period, the problems cannot be found in time and the like are avoided.
Wherein the predictive repair report includes a problem associated with a predictive repair activity in the nuclear power plant. Generally, by generating the predictive maintenance report, personnel associated with the nuclear power plant may be informed which equipment is degrading. In particular, the predictive repair report may include all current performance degraded equipment, which may include, for example, but is not limited to, equipment descriptions, discovered anomalies, status levels, corrective repair order codes, and repair schedules, among others. Of course, it will be appreciated that in other embodiments, the predictive maintenance report may also include short-term and/or long-term maintenance plans.
Further, the predictive repair report may also include: performance indicators for measuring results of the predictive maintenance activities. Wherein the performance indicators include, but are not limited to: device status statistics, unexpected failure events within a predictive repair technology scope, device anomalies discovered by predictive repair, quality of predictive repair decisions, amount of predictive repair technology inspection execution, and predictive repair technology inspection execution rate.
For the equipment state statistical index, the equipment state statistics in the PdM outline range can be provided, and meanwhile, the index can also be used for representing the timeliness of maintenance activities. For unexpected failure event indicators within the scope of the predictive repair technique, it may indicate PdM detections defined in the PdM template by which equipment failures and equipment failures directly related to the PdM technique may be discovered. For the equipment anomaly indicators of predictive repair discovery, it may count the number of equipment anomalies initiated by PdM-capable technology, typically expressed as a percentage. For the quality index of the predictive maintenance decision, it can count the corrective maintenance times related to the PdM technology. For the predictive maintenance technology detection execution amount index, the index can be used for counting the detection execution amount of each PdM technology in the month. For the predictive technology test execution rate indicator, the indicator characterizes PdM test execution, typically expressed as a percentage. An excessively low execution rate may be caused by problems of equipment working conditions failing to meet detection conditions, personnel being insufficiently configured, unreasonable plans, unreachable measured points/sampling points, equipment/software failure detection, and the like. The PdM technique detects the execution rate as the actual execution detection amount ÷ planned execution detection amount.
The nuclear power plant equipment class supervision and predictive health management method can provide continuous or periodic monitoring for selected equipment parameters so as to analyze and evaluate the selected equipment parameters. And the equipment class supervision and predictive management project can be used for monitoring and trend analysis of the equipment performance state so as to develop planned maintenance before equipment failure, reduce unplanned corrective maintenance and help optimize the period of preventive maintenance projects.
Furthermore, the method can ensure that the performance degradation of all safety important production numbers in the nuclear power plant, such as structures, systems and equipment, can be found, prejudged and processed in time, improve the reliability and the availability of the equipment, prolong the service life of the equipment, reduce the maintenance cost of the equipment and ensure the safe, reliable and economic operation of the equipment.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the claims of the present invention.
Claims (12)
1. A nuclear power plant equipment class supervision and predictive health management method is characterized by comprising the following steps:
establishing equipment class supervision and predictive management projects of the equipment;
optimizing a current preventive maintenance outline according to the equipment class supervision and predictive management project;
according to the equipment supervision and predictive management project, a predictive maintenance report is made by adopting a preset period;
supervising and predictively managing the nuclear power plant equipment based on the predictive maintenance report.
2. The method of claim 1, wherein the formulating equipment class supervision and predictive health management programs for the equipment comprises:
analyzing the failure mode and failure mechanism of the equipment according to an industry template;
and formulating a preventive maintenance template and/or a predictive maintenance template of the equipment class of the nuclear power plant according to the analysis result.
3. The method of nuclear power plant equipment class supervision and predictive health management according to claim 1, wherein the optimizing a current preventive maintenance schema in accordance with the equipment class supervision and predictive management project comprises:
and optimizing the current preventive maintenance outline by implementing the equipment class supervision and predictive management project by referring to the preventive maintenance template or the predictive maintenance template.
4. The method of nuclear power plant equipment class supervision and predictive health management according to claim 3, wherein the optimizing of the current preventive maintenance schema includes: suggesting to cancel the current preventative maintenance outline, suggesting to extend the current preventative maintenance cycle, and suggesting to maintain the current preventative maintenance outline.
5. The method of nuclear power plant equipment class supervision and predictive health management according to claim 4, wherein the optimizing a current preventive maintenance schema in accordance with the equipment class supervision and predictive management project comprises: optimizing the current preventive maintenance outline by adopting a comprehensive quantitative analysis method;
or, a simple quantitative analysis method is adopted to optimize the current preventive maintenance outline.
6. The method of nuclear power plant equipment-like supervised and predictive health management according to claim 5, wherein the optimizing of the current preventive maintenance schema using integrated quantitative analysis includes:
according to the relationship between the comprehensive analysis index and the severity of the fault influence, the fault occurrence probability and the detection rate of effective intervention;
determining a comprehensive analysis index value;
and optimizing the current preventive maintenance outline according to the comprehensive analysis index value.
7. The nuclear power plant equipment-like supervision and predictive health management method according to claim 6, wherein said determining a value of a composite analysis index comprises:
acquiring the severity of the fault influence, the probability of the fault and the detection rate of effective intervention;
and multiplying the severity of the fault influence, the probability of the fault occurrence and the detection rate of the effective intervention, wherein the product of the severity of the fault influence, the probability of the fault occurrence and the detection rate of the effective intervention is the comprehensive analysis index value.
8. The method of nuclear power plant equipment class supervision and predictive health management according to claim 6, wherein said optimizing a current preventive maintenance schema according to the aggregate analysis index value comprises:
if the comprehensive analysis index value is smaller than a first preset value, the current preventive maintenance outline is recommended to be cancelled;
if the comprehensive analysis index value is larger than or equal to a first preset value and smaller than a second preset value, the current preventive maintenance period is recommended to be prolonged;
and if the comprehensive analysis index value is smaller than a second preset value, suggesting to keep the current preventive maintenance outline.
9. The nuclear power plant equipment-like supervised and predictive health management method of claim 1, wherein the method further comprises:
if the current preventive maintenance outline is as follows: and recommending to cancel and prolong the current preventive maintenance period, and executing a preventive maintenance outline edition upgrading process.
10. The method for nuclear power plant equipment class supervision and predictive health management according to claim 9, wherein the performing a preventive maintenance outline upgrade procedure comprises:
determining specific equipment;
setting monitoring parameters and criteria of the specific equipment according to the determined specific equipment;
determining a monitoring method of the specific equipment according to the monitoring parameters and the criteria;
supervising the specific equipment based on the monitoring method;
acquiring supervision data, and performing data analysis on the supervision data;
evaluating the state of the specific equipment according to the data analysis result;
and outputting a state evaluation result.
11. The nuclear power plant equipment class supervision and predictive health management method according to claim 1, wherein the predictive maintenance report includes: performance indicators for measuring results of the predictive maintenance activities.
12. The method of nuclear power plant equipment-like supervised and predictive health management of claim 11, wherein the performance indicators include: device status statistics, unexpected failure events within a predictive repair technology scope, device anomalies discovered by predictive repair, quality of predictive repair decisions, amount of predictive repair technology inspection execution, and predictive repair technology inspection execution rate.
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