Method and device for determining effectiveness of nuclear power plant pre-maintenance tasks
By conducting detailed analysis of the failure mode of nuclear power plant equipment and adjusting pre-static tasks, the problem of how to effectively evaluate and optimize preventive maintenance tasks is solved, and more accurate task evaluation and more efficient equipment maintenance are achieved.
Patent Information
- Application Number
- CN202210179187.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-02-25
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2042-02-25
AI Technical Summary
In nuclear power plants, how to effectively determine the effectiveness of preventive maintenance tasks, especially when facing tens of thousands of preventive maintenance projects, how to reasonably evaluate and adjust the priority and effectiveness of these tasks.
By determining the failure efficiency of the failure mode in the pre-dimensional task based on its operating cycle, time code and degradation factor for each device, the relationship between the implementation cycle of the pre-dimensional task and the failure time distribution of the target failure mode is adjusted to determine the actual effectiveness of the pre-dimensional task.
A more accurate and practical assessment of the effectiveness of pre-defense tasks in nuclear power plants has been achieved, and the pertinence and effectiveness of pre-defense tasks has been improved, and the safe and stable operation of equipment has been ensured.
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Figure CN114662713B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of nuclear power, and in particular relates to a method and device for determining the effectiveness of pre-maintenance tasks of a nuclear power plant. Background Art
[0002] In the industrial field, periodic preventive maintenance (also known as pre-maintenance) of equipment can maintain equipment reliability, avoid equipment failure and damage due to lack of maintenance, and thus maintain the safe and stable operation of the system and even the unit.
[0003] Taking a nuclear power plant as an example, a unit typically has hundreds of systems, each with hundreds of devices, and each device requiring several or even dozens of preventive maintenance tasks, resulting in tens of thousands of preventive maintenance items for a single nuclear power plant. Furthermore, preventive maintenance practitioners must evaluate the rationality and effectiveness of preventive maintenance items; compare and draw lessons from preventive maintenance projects for similar units, systems, and equipment; and analyze and predict the actual implementation of preventive maintenance. Therefore, determining the effectiveness of preventive maintenance tasks has become a pressing issue. Summary of the Invention
[0004] In order to overcome the problems existing in the related technologies, a method and device for determining the effectiveness of pre-maintenance tasks of a nuclear power plant are provided.
[0005] According to one aspect of an embodiment of the present disclosure, a method for determining the effectiveness of a pre-maintenance task of a nuclear power plant is provided, the method comprising:
[0006] For each failure mode of each device corresponding to the pre-maintenance outline, determine the failure rate of the failure mode in the absence of pre-maintenance tasks within the corresponding device operation cycle based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code is the probability of equipment failure and the failure time distribution, and the degradation factor is the factor that increases the probability of equipment failure.
[0007] For each pre-maintenance task in the pre-maintenance outline, the essential effectiveness of the pre-maintenance task for the target failure mode is adjusted based on the relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, so as to obtain the actual effectiveness of the pre-maintenance task for the target failure mode;
[0008] Determining the effectiveness of the pre-dimensional program for the target failure mode according to the actual effectiveness of each pre-dimensional task in the pre-dimensional program for the target failure mode;
[0009] The failure probability of the target failure mode is determined based on the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle.
[0010] In a possible implementation, the method further includes:
[0011] The overall failure rate of the target device is determined based on the failure probability of each failure mode of the target device.
[0012] In one possible implementation, for each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding device operation cycle is determined based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code is the probability of device failure and the failure time distribution, and the degradation factor is the factor that increases the probability of device failure, including:
[0013] When the time code type corresponding to the failure mode is random failure, if the failure mode corresponds to a degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and the first constant;
[0014] When the time code type corresponding to the failure mode is random failure, if the failure mode does not correspond to a degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and a second constant, and the second constant is much smaller than the first constant.
[0015] In one possible implementation, for each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding device operation cycle is determined based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code is the probability of device failure and the distribution of failure time, and the degradation factor is the factor that increases the probability of device failure. The following also applies:
[0016] When the time code type corresponding to the failure mode is unconditional wear, the failure rate of the failure mode in the absence of pre-maintenance tasks within the corresponding equipment operation cycle is determined based on the fault time threshold contained in the time code and the equipment operation cycle. The unconditional wear is wear that is bound to occur without being affected by the working frequency or environment.
[0017] In one possible implementation, for each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding device operation cycle is determined based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code is the probability of device failure and the distribution of failure time, and the degradation factor is the factor that increases the probability of device failure. The following also applies:
[0018] When the time code type corresponding to the failure mode is conditional wear, and if the failure mode does not correspond to a specific degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and the second constant;
[0019] In the case where the time code type corresponding to the failure mode is conditional wear, if the failure mode corresponds to a specific degradation factor, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle is determined based on the failure time threshold contained in the time code and the equipment operation cycle. The conditional wear is wear that only occurs when a specific degradation factor exists.
[0020] In one possible implementation, for each pre-maintenance task in the pre-maintenance outline, the intrinsic effectiveness of the pre-maintenance task with respect to the target failure mode is adjusted based on the relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, thereby obtaining the actual effectiveness of the pre-maintenance task with respect to the target failure mode, including:
[0021] Determine corresponding multiple threshold intervals according to the time code type of the target failure mode and the presence or absence of corresponding degradation factors;
[0022] According to the relationship between the task implementation period of the pre-maintenance task and the determined multiple threshold intervals, the essential effectiveness of the pre-maintenance task for the target failure mode is adjusted to obtain the actual effectiveness of the pre-maintenance task for the target failure mode.
[0023] According to another aspect of an embodiment of the present disclosure, a device for determining effectiveness of a pre-maintenance task of a nuclear power plant is provided, the device comprising:
[0024] The first determination module is configured to determine, for each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding device operation cycle based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code represents the probability of device failure and the distribution of failure time, and the degradation factor represents the factor that increases the probability of device failure.
[0025] An adjustment module is configured to adjust, for each pre-maintenance task in the pre-maintenance outline, the intrinsic effectiveness of the pre-maintenance task with respect to the target failure mode according to a relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, thereby obtaining the actual effectiveness of the pre-maintenance task with respect to the target failure mode;
[0026] A second determining module is configured to determine the effectiveness of the pre-dimensional outline for the target failure mode according to the actual effectiveness of each pre-dimensional task in the pre-dimensional outline for the target failure mode;
[0027] The third determination module is used to determine the failure probability of the target failure mode based on the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle.
[0028] According to another aspect of an embodiment of the present disclosure, a device for determining effectiveness of a pre-maintenance task of a nuclear power plant is provided, the device comprising:
[0029] processor;
[0030] a memory for storing processor-executable instructions;
[0031] The processor is configured to execute the above method.
[0032] According to another aspect of an embodiment of the present disclosure, a non-volatile computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the above method is implemented.
[0033] The beneficial effects of the present disclosure are as follows: for each failure mode of each device corresponding to the pre-maintenance outline, the present disclosure determines the failure rate of the failure mode in the absence of a pre-maintenance task within the operating cycle of the corresponding device according to the operating cycle of the device, the time code corresponding to the failure mode and the degradation factor corresponding to the failure mode; and for each pre-maintenance task in the pre-maintenance outline, according to the relationship between the task implementation cycle of the pre-maintenance task and the failure time distribution of the target failure mode of the device corresponding to the pre-maintenance task, adjusts the essential effectiveness of the pre-maintenance task for the target failure mode, obtains the actual effectiveness of the pre-maintenance task for the target failure mode, and makes it more in line with the actual situation of the nuclear power plant; and further, according to the actual effectiveness of each pre-maintenance task in the pre-maintenance outline for the target failure mode, obtains the effectiveness of the pre-maintenance outline for the target failure mode; according to the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode in the absence of a pre-maintenance task within the operating cycle of the corresponding device, determines the failure probability of the target failure mode, thereby making a more accurate and practical evaluation of the effectiveness of the pre-maintenance outline tasks. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] Figure 1 The present invention is a flowchart of a method for determining the effectiveness of a pre-maintenance task of a nuclear power plant according to an exemplary embodiment.
[0035] Figure 2 The present invention is a block diagram of a device for determining the effectiveness of a pre-maintenance task of a nuclear power plant according to an exemplary embodiment. DETAILED DESCRIPTION
[0036] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0037] Figure 1 This is a flow chart of a method for determining the effectiveness of a nuclear power plant pre-maintenance task according to an exemplary embodiment. The method can be executed by a terminal device, for example, a server, a desktop computer, etc. The embodiment of the present disclosure does not limit the type of terminal device. Figure 1 As shown, the method may include:
[0038] Step 100, for each failure mode of each device corresponding to the pre-maintenance outline, determine the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding device operation cycle based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code is the probability of device failure and the failure time distribution. The degradation factor is the factor that causes the device failure probability to increase. The degradation factor may, for example, include the device's operating frequency, temperature, humidity, vibration or flow-induced vibration, contamination, dust or debris, etc.
[0039] In a possible implementation, step 100 may include the following steps:
[0040] Step 1001: When the time code type corresponding to the failure mode is random failure, if the failure mode corresponds to a degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and a first constant.
[0041] For example, when the time code type corresponding to the failure mode is random failure, if the failure mode corresponds to a degradation factor, the failure rate of the failure mode in the corresponding equipment operation cycle without a pre-maintenance task can be determined according to the following formula: Pk = λ1Τ, where λ1 is the first constant, for example, λ1 = 3.75*10 -2 , Τ is the operation cycle of the device, for example, Τ=40.
[0042] Step 1002: When the time code type corresponding to the failure mode is random failure, if the failure mode does not correspond to a degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and a second constant, and the second constant is much smaller than the first constant.
[0043] For example, when the time code type corresponding to the failure mode is random failure, if the failure mode does not correspond to a degradation factor, the failure rate of the failure mode k without a pre-maintenance task during the corresponding equipment operation cycle can be determined according to the following formula: Pk = λ2Τ, where λ2 is the second constant, for example, λ2 = 3.75*10 -4 , Τ is the operation cycle of the device, for example, Τ=40.
[0044] Step 1003, when the time code type corresponding to the failure mode is unconditional wear, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle is determined based on the fault time threshold contained in the time code and the equipment operation cycle. The unconditional wear is wear that is bound to occur without being affected by the working frequency or environment.
[0045] For example, when the time code type corresponding to failure mode k is unconditional wear, the failure rate of failure mode k without pre-maintenance tasks during the corresponding equipment operation cycle is Pk=2T / (t+6t). If the time code of the failure mode is UW(x) and the failure mode does not correspond to a degradation factor, then t=x, where x is the predicted time length from the time the equipment is put into service to the time when failure occurs; if the time code of the failure mode is UW(x) and the failure mode corresponds to a degradation factor, then t=x / 2; if the time code of the failure mode is UW(x, y), x, y are the predicted time length intervals from the time the equipment is put into service to the time when failure occurs, and the failure mode does not correspond to a degradation factor, then t=(x+y) / 2; if the time code of the failure mode is UW(x, y) and the failure mode corresponds to a degradation factor, then t=(2x+3y) / 8.
[0046] In step 1004, if the time code type corresponding to the failure mode is conditional wear, and if the failure mode does not correspond to a specific degradation factor, the failure rate of the failure mode in the corresponding equipment operation cycle without a pre-maintenance task is the product of the equipment operation cycle and a second constant. For example, if the time code type corresponding to failure mode k is conditional wear, the failure rate of the failure mode in the corresponding equipment operation cycle without a pre-maintenance task can be determined according to the following formula: Pk = λ2Τ, where λ2 is the second constant, for example, λ2 = 3.75*10 -4 , Τ is the operation cycle of the device, for example, Τ=40.
[0047] Step 1005: When the time code type corresponding to the failure mode is conditional wear, if the failure mode corresponds to a specific degradation factor, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle is determined based on the failure time threshold contained in the time code and the equipment operation cycle. The conditional wear is wear that will only occur when a specific degradation factor exists.
[0048] For example, when the time code type corresponding to failure mode k is conditional wear, if failure mode k corresponds to a specific degradation factor, the failure rate of failure mode k without pre-maintenance tasks during the corresponding equipment operation cycle is Pk = T / 7t + 1.875*10 -4 If the time code of failure mode k is W(x), and failure mode k corresponds to a degradation factor, then t = x / 2, where x is the predicted time interval from the time the device is put into service to the time it fails; if the time code of failure mode k is W(x, y), x, y are the predicted time intervals from the time the device is put into service to the time it fails, and failure mode k corresponds to a degradation factor, then t = (x+y) / 2.
[0049] Step 101, for each pre-maintenance task in the pre-maintenance outline, adjust the essential effectiveness of the pre-maintenance task for the target failure mode according to the relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, and obtain the actual effectiveness of the pre-maintenance task for the target failure mode.
[0050] For example, the corresponding multiple threshold intervals can be determined based on the time code type of the target failure mode and the presence or absence of the corresponding degradation factor; based on the relationship between the task implementation period of the pre-maintenance task and the determined multiple threshold intervals, the essential effectiveness of the pre-maintenance task for the target failure mode is adjusted to obtain the actual effectiveness of the pre-maintenance task for the target failure mode. For example, Table 1 shows the effectiveness of the pre-maintenance task for a certain failure mode (effectiveness can be expressed as the benefits that can be brought by performing a certain preventive maintenance task before a certain failure mode of the equipment occurs). The effectiveness of the task can be compared with the relationship between the task implementation period T of the pre-maintenance task and the failure time distribution (x or x, y) of the target failure mode according to Table 2.
[0051] Table 1
[0052]
[0053] Table 2
[0054]
[0055] Step 102: Determine the effectiveness of the pre-dimensional outline for the target failure mode based on the actual effectiveness of each pre-dimensional task in the pre-dimensional outline for the target failure mode.
[0056] For example, if the actual effectiveness of all tasks (e.g., n tasks) in the pre-dimensional outline is Es, then the effectiveness of the pre-dimensional outline for the target failure mode is E = 1-[(1-Es) × (1-Es) 1 / 2 ×(1-Es) 1 / 3 …×(1-Es) 1 / n ].
[0057] If the actual effectiveness corresponding to n tasks in the pre-dimensional outline is Ea, the actual effectiveness corresponding to m tasks is Eb, and the sum of n and m is the total number of tasks in the pre-dimensional outline, then the effectiveness of the pre-dimensional outline for the target failure mode is E=1-(A×B).
[0058] Where A=1-[(1-Ea)×(1-Ea) 1 / 2 ×(1-Ea) 1 / 3 …×(1-Ea) 1 / n ]
[0059] B=1-[(1-Eb)×(1-Eb) 1 / 2 ×(1-Eb) 1 / 3 …×(1-Eb) 1 / m ].
[0060] If the actual effectiveness corresponding to n tasks in the pre-dimensional outline is Ea, the actual effectiveness corresponding to m tasks is Eb, and the actual effectiveness corresponding to t tasks is Ec, and the sum of n, m and t is the total number of tasks in the pre-dimensional outline, then the effectiveness of the pre-dimensional outline for the target failure mode is E = 1-(A×B×C).
[0061] Where A=1-[(1-Ea)×(1-Ea) 1 / 2 ×(1-Ea) 1 / 3 …×(1-Ea) 1 / n ]
[0062] B=1-[(1-Eb)×(1-Eb) 1 / 2 ×(1-Eb) 1 / 3 …×(1-Eb) 1 / m ]
[0063] C=1-[(1-Ec)×(1-Ec) 1 / 2 ×(1-Ec) 1 / 3 …×(1-Ec) 1 / t ]
[0064] Step 103: Determine the failure probability of the target failure mode based on the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode without pre-maintenance tasks during the corresponding equipment operation cycle. For example, the failure probability P of the target failure mode k is k =P 0k ×(1-E k ), where P 0k is the failure rate of the target failure mode without pre-maintenance tasks during the corresponding equipment operation cycle, E k To determine the effectiveness of the pre-dimension outline for the target failure modes.
[0065] In addition, the overall failure rate of the target device may be determined based on the failure probability of each failure mode of the target device. For example, the overall failure rate of the target device may be the sum of the failure probabilities of each failure mode of the target device.
[0066] The present disclosure targets each failure mode of each device corresponding to the pre-maintenance outline, determines the failure rate of the failure mode in the absence of a pre-maintenance task within the operating cycle of the corresponding device according to the operating cycle of the device, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. Furthermore, for each pre-maintenance task in the pre-maintenance outline, the intrinsic effectiveness of the pre-maintenance task with respect to the target failure mode is adjusted according to the relationship between the task implementation cycle of the pre-maintenance task and the failure time distribution of the target failure mode of the device corresponding to the pre-maintenance task, thereby obtaining the actual effectiveness of the pre-maintenance task with respect to the target failure mode, making it more consistent with the actual situation of the nuclear power plant. Furthermore, based on the actual effectiveness of each pre-maintenance task in the pre-maintenance outline with respect to the target failure mode, the effectiveness of the pre-maintenance outline with respect to the target failure mode is obtained. Based on the effectiveness of the pre-maintenance outline with respect to the target failure mode and the failure rate of the target failure mode in the absence of a pre-maintenance task within the operating cycle of the corresponding device, the failure probability of the target failure mode is determined, thereby providing a more accurate and realistic evaluation of the effectiveness of the pre-maintenance outline tasks.
[0067] In one possible implementation, a device for determining effectiveness of a pre-maintenance task of a nuclear power plant is provided, the device comprising:
[0068] The first determination module is configured to determine, for each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding device operation cycle based on the device's operation cycle, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code represents the probability of device failure and the distribution of failure time, and the degradation factor represents the factor that increases the probability of device failure.
[0069] An adjustment module is configured to adjust, for each pre-maintenance task in the pre-maintenance outline, the intrinsic effectiveness of the pre-maintenance task with respect to the target failure mode according to a relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, thereby obtaining the actual effectiveness of the pre-maintenance task with respect to the target failure mode;
[0070] A second determining module is configured to determine the effectiveness of the pre-dimensional outline for the target failure mode according to the actual effectiveness of each pre-dimensional task in the pre-dimensional outline for the target failure mode;
[0071] The third determination module is used to determine the failure probability of the target failure mode based on the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle.
[0072] The description of the above-mentioned device has been elaborated in detail in the description of the above-mentioned method, and will not be repeated here.
[0073] Figure 2 1 is a block diagram of a device for determining the effectiveness of a pre-maintenance task of a nuclear power plant according to an exemplary embodiment. For example, the device 1900 can be provided as a server. Figure 2 The apparatus 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions, such as an application, that can be executed by the processing component 1922. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute the instructions to perform the above-described method.
[0074] The device 1900 may also include a power supply component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input / output (I / O) interface 1958. The device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server™, MacOS X™, Unix™, Linux™, FreeBSD™, or the like.
[0075] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions that can be executed by the processing component 1922 of the apparatus 1900 to perform the above-described method.
[0076] The present disclosure may be a system, method and / or computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.
[0077] A computer-readable storage medium can be a tangible device that can hold and store instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination thereof. As used herein, a computer-readable storage medium is not to be construed as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
[0078] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions to be stored in the computer-readable storage medium in each computing / processing device.
[0079] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, and conventional procedural programming languages such as "C" language or similar programming languages. Computer-readable program instructions may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., utilizing an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions. The electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.
[0080] Various aspects of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.
[0081] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device is generated that implements the functions / actions specified in one or more blocks in the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, where these instructions cause the computer, programmable data processing device, and / or other device to operate in a specific manner. Thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing various aspects of the functions / actions specified in one or more blocks in the flowchart and / or block diagram.
[0082] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more blocks in the flowchart and / or block diagram.
[0083] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and the part of the module, program segment or instruction contains one or more executable instructions for realizing the prescribed logical function. In some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the prescribed function or action, or can be implemented by a combination of dedicated hardware and computer instructions.
[0084] While various embodiments of the present disclosure have been described above, the foregoing description is intended to be illustrative, non-exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or technical improvements to existing technologies, or to enable others skilled in the art to understand the embodiments disclosed herein.
Claims
1. A method for determining the effectiveness of a pre-maintenance task in a nuclear power plant, characterized in that: The method comprises: For each failure mode of each device corresponding to the pre-maintenance outline, determine the failure rate of the failure mode without pre-maintenance tasks within the corresponding equipment operation cycle according to the operation cycle of the equipment, the time code corresponding to the failure mode and the degradation factor corresponding to the failure mode. The time code is the probability of equipment failure and the failure time distribution, and the degradation factor is the factor that causes the increase in the probability of equipment failure. For each pre-maintenance task in the pre-maintenance outline, according to the relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, the essential effectiveness of the pre-maintenance task for the target failure mode is adjusted to obtain the actual effectiveness of the pre-maintenance task for the target failure mode; Determining the effectiveness of the pre-maintenance outline for the target failure mode according to the actual effectiveness of each pre-maintenance task in the pre-maintenance outline for the target failure mode; Determine the failure probability of the target failure mode according to the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode without pre-maintenance tasks during the operation cycle of the corresponding equipment; The method further includes: determining an overall failure rate of the target device based on the failure probability of each failure mode of the target device; For each failure mode of each device corresponding to the pre-maintenance outline, determine the failure rate of the failure mode without pre-maintenance tasks within the corresponding equipment operation cycle according to the operation cycle of the equipment, the time code corresponding to the failure mode, and the degradation factor corresponding to the failure mode. The time code is the probability of equipment failure and the failure time distribution. The degradation factor is the factor that causes the increase in the probability of equipment failure, including: In the case where the time code type corresponding to the failure mode is random failure, if the failure mode corresponds to a degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and the first constant; When the time code type corresponding to the failure mode is random failure, if the failure mode does not correspond to a degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and a second constant, and the second constant is much smaller than the first constant.
2. The method according to claim 1, characterized in that For each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode without pre-maintenance tasks within the corresponding equipment operation cycle is determined according to the operation cycle of the equipment, the time code corresponding to the failure mode and the degradation factor corresponding to the failure mode. The time code is the probability of equipment failure and the distribution of failure time. The degradation factor is the factor that causes the increase in the probability of equipment failure. It also includes: When the time code type corresponding to the failure mode is unconditional wear, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle is determined based on the fault time threshold contained in the time code and the equipment operation cycle. The unconditional wear is the wear that is bound to occur without being affected by the working frequency or environment.
3. The method according to claim 1, characterized in that For each failure mode of each device corresponding to the pre-maintenance outline, the failure rate of the failure mode without pre-maintenance tasks within the corresponding equipment operation cycle is determined according to the operation cycle of the equipment, the time code corresponding to the failure mode and the degradation factor corresponding to the failure mode. The time code is the probability of equipment failure and the distribution of failure time. The degradation factor is the factor that causes the increase in the probability of equipment failure. It also includes: In the case where the time code type corresponding to the failure mode is conditional wear, if the failure mode does not correspond to a specific degradation factor, the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and the second constant; In the case where the time code type corresponding to the failure mode is conditional wear, if the failure mode corresponds to a specific degradation factor, the failure rate of the failure mode in the absence of a pre-maintenance task within the corresponding equipment operation cycle is determined based on the fault time threshold contained in the time code and the equipment operation cycle. The conditional wear is wear that will only occur when a specific degradation factor exists.
4. The method according to claim 1, characterized in that: For each pre-maintenance task in the pre-maintenance outline, according to the relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, the essential effectiveness of the pre-maintenance task for the target failure mode is adjusted to obtain the actual effectiveness of the pre-maintenance task for the target failure mode, including: Determine corresponding multiple threshold intervals according to the time code type of the target failure mode and the presence or absence of corresponding degradation factors; According to the relationship between the task implementation period of the pre-maintenance task and the determined multiple threshold intervals, the essential effectiveness of the pre-maintenance task for the target failure mode is adjusted to obtain the actual effectiveness of the pre-maintenance task for the target failure mode.
5. A device for determining the effectiveness of a pre-maintenance task in a nuclear power plant, characterized in that: The device comprises: The first determination module is used to determine the failure rate of each failure mode of each device corresponding to the pre-maintenance outline without a pre-maintenance task within the operation cycle of the corresponding device according to the operation cycle of the device, the time code corresponding to the failure mode and the degradation factor corresponding to the failure mode, wherein the time code is the probability of occurrence of device failure and the distribution of failure time, and the degradation factor is the factor that causes the increase of the probability of device failure; An adjustment module is used to adjust the essential effectiveness of each pre-maintenance task in the pre-maintenance outline for the target failure mode according to the relationship between the task implementation period of the pre-maintenance task and the failure time distribution of the target failure mode of the equipment corresponding to the pre-maintenance task, so as to obtain the actual effectiveness of the pre-maintenance task for the target failure mode; A second determination module is used to determine the effectiveness of the pre-maintenance outline for the target failure mode according to the actual effectiveness of each pre-maintenance task in the pre-maintenance outline for the target failure mode; A third determination module is used to determine the failure probability of the target failure mode according to the effectiveness of the pre-maintenance outline for the target failure mode and the failure rate of the target failure mode without a pre-maintenance task during the operation cycle of the corresponding equipment; The apparatus further comprises: a failure probability module, for determining an overall failure rate of the target device according to the failure probability of each failure mode of the target device; The first determination module also includes: A first failure rate determination module is used for, when the time code type corresponding to the failure mode is a random failure, if the failure mode corresponds to a degradation factor, then the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and a first constant; The second failure rate determination module is used for, when the time code type corresponding to the failure mode is random failure, if the failure mode does not correspond to a degradation factor, then the failure rate of the failure mode without a pre-maintenance task within the corresponding equipment operation cycle is the product of the equipment operation cycle and a second constant, and the second constant is much smaller than the first constant.
6. A device for determining effectiveness of pre-maintenance tasks in a nuclear power plant, characterized in that: The device comprises: processor; a memory for storing processor-executable instructions; The processor is configured to execute the method according to any one of claims 1 to 4.
7. A non-volatile computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 4 is implemented.
Citation Information
Patent Citations
Maintenance strategy optimal value evaluation method and system based on equipment failure rate
CN112329949A