Method and device for determining a preventive maintenance integrated rate of a ship equipment

Abstract

The application discloses a kind of ship equipment preventive maintenance comprehensive rate determination method and device, belong to ship equipment field, this method includes: obtaining the state network of ship equipment, state network includes multiple state transition processes of ship equipment, state transition process includes from first state transition to second state, first state and second state are different states in state network, and preventive maintenance state is included in state network;State data of ship equipment is obtained;According to the time spent by state data to each state transition process frequency analysis is carried out, and the cumulative distribution that the time spent by each state transition process is subjected to is obtained;According to the cumulative distribution that the time spent by each state transition process is subjected to, the state transition rate of each state transition process is determined.The method can accurately calculate the comprehensive rate related to preventive maintenance of ship equipment.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of ship equipment, and in particular to a method and device for determining a comprehensive rate of preventive maintenance of ship equipment. BACKGROUND

[0002] The centralized maintenance and periodic maintenance of equipment in a ship are subject to time and space constraints. For example, during the voyage of the ship, the centralized maintenance and periodic maintenance of equipment in the ship are difficult to carry out during the voyage of the ship due to the constraints of the maintenance technical level of the crew, the maintenance support facilities and equipment on the ship, and the maintenance space.

[0003] In order to simplify the maintenance task and improve the maintenance support efficiency, the personnel using and managing the ship prefer to maintain the ship equipment through preventive maintenance (removing the equipment to the repair factory on shore for centralized maintenance) after the ship docks.

[0004] The comprehensive rate of preventive maintenance of ship equipment can reflect multiple rates related to the preventive maintenance of ship equipment. It is necessary to accurately determine the comprehensive rate of preventive maintenance of ship equipment so as to accurately perform preventive maintenance on ship equipment according to the comprehensive rate of preventive maintenance of ship equipment. SUMMARY

[0005] The present disclosure provides a method and device for determining a comprehensive rate of preventive maintenance of ship equipment, which can accurately calculate the comprehensive rate related to the preventive maintenance of ship equipment. The technical solution at least includes the following solutions:

[0006] In a first aspect, a method for determining a comprehensive rate of preventive maintenance of ship equipment is provided, comprising: obtaining a state network of ship equipment, the state network comprising multiple state transition processes of the ship equipment, the state transition process comprising a transition from a first state to a second state, the first state and the second state being different states in the state network, the state network comprising a preventive maintenance state; obtaining state data of the ship equipment; performing frequency analysis on the time spent by each state transition process according to the state data to obtain a cumulative distribution to which the time spent by each state transition process is subject; and determining a state transition rate of each state transition process according to the cumulative distribution to which the time spent by each state transition process is subject.

[0007] Optionally, the state transition process includes transitioning from a preventive maintenance state to an intact state and from a preventive maintenance state to an usable state. The step of performing a frequency analysis on the time spent in each state transition process based on the state data to obtain a cumulative distribution of the time spent in each state transition process includes: obtaining a set of preventive maintenance strategies, which includes preventive minor repairs, preventive medium repairs, and preventive major repairs; and performing a frequency analysis on the time spent for different preventive maintenance strategies based on the state data to obtain a cumulative distribution of the time spent for each preventive maintenance strategy.

[0008] Optionally, determining the state transition rate of each state transition process based on the cumulative distribution of the time spent in each state transition process includes: determining the state transition rate corresponding to each preventive maintenance strategy based on the cumulative distribution of the time spent in each preventive maintenance strategy; and determining the state transition rate from the preventive maintenance state to the good state and the state transition rate from the preventive maintenance state to the usable state based on the state transition rate corresponding to each preventive maintenance strategy and the nesting relationship between preventive maintenance strategies.

[0009] Optionally, the state transition rate from preventive maintenance state to good condition is expressed by the following formula:

[0010]

[0011] The state transition rate from preventive maintenance state to usable state is expressed by the following formula:

[0012]

[0013] in, The state transition rate from preventive maintenance state to good condition is [the rate at which the state transitions from preventive maintenance state to good condition]. The state transition rate from preventive maintenance state to available state is defined as this. The probability of performing preventative minor repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative minor repairs. The probability of performing preventative mid-term repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative mid-term repairs. The probability of performing preventative overhauls on ship equipment. To determine the probability of restoring ship equipment to its best condition after preventative overhaul. The state transition rate corresponding to preventative minor repairs. The state transition rate corresponding to preventative intermediate repairs. The state transition rate corresponding to preventive overhaul. , and Determined based on the nesting relationship between the preventive maintenance strategies.

[0014] Optionally, the probability of the ship's equipment undergoing preventative minor repairs. It is expressed by the following formula:

[0015]

[0016] The probability of the ship's equipment undergoing preventative mid-term repairs. It is expressed by the following formula:

[0017]

[0018] The probability of the ship's equipment undergoing preventative overhaul. It is expressed by the following formula:

[0019]

[0020] in, , The value of is related to the nesting relationship between the preventive maintenance strategies, which includes: if If a minor preventative repair is required, a medium preventative repair must be performed. Each preventive intermediate repair must be followed by a preventive major repair.

[0021] Secondly, a device for determining the comprehensive rate of preventive maintenance for ship equipment is also provided, comprising: a first acquisition module for acquiring a state network of ship equipment, the state network including multiple state transition processes of the ship equipment, the state transition process including a transition from a first state to a second state, the first state and the second state being different states in the state network, the state network including preventive maintenance states; a second acquisition module for acquiring state data of the ship equipment; a frequency analysis module for performing frequency analysis on the time spent in each state transition process based on the state data to obtain a cumulative distribution of the time spent in each state transition process; and a rate determination module for determining the state transition rate of each state transition process based on the cumulative distribution of the time spent in each state transition process.

[0022] Optionally, the state transition process includes transitioning from a preventive maintenance state to an intact state and from a preventive maintenance state to an usable state. The frequency analysis module is also used to obtain a set of preventive maintenance strategies, which includes preventive minor repairs, preventive medium repairs, and preventive major repairs. Based on the state data, frequency analysis is performed on the time spent by different preventive maintenance strategies to obtain the cumulative distribution of the time spent by each preventive maintenance strategy.

[0023] Optionally, the rate determination module is further configured to determine the state transition rate corresponding to each preventive maintenance strategy based on the cumulative distribution of the time spent by each preventive maintenance strategy; and to determine the state transition rate from the preventive maintenance state to the intact state and the state transition rate from the preventive maintenance state to the usable state based on the state transition rate corresponding to each preventive maintenance strategy and the nesting relationship between preventive maintenance strategies.

[0024] Optionally, in the rate determination module, the state transition rate from preventive maintenance state to good condition state is expressed by the following formula:

[0025]

[0026] The state transition rate from preventive maintenance state to usable state is expressed by the following formula:

[0027]

[0028] in, The state transition rate from preventive maintenance state to good condition is [the rate at which the state transitions from preventive maintenance state to good condition]. The state transition rate from preventive maintenance state to available state is defined as this. The probability of performing preventative minor repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative minor repairs. The probability of performing preventative mid-term repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative mid-term repairs. The probability of performing preventative overhauls on ship equipment. To determine the probability of restoring ship equipment to its best condition after preventative overhaul. The state transition rate corresponding to preventative minor repairs. The state transition rate corresponding to preventative intermediate repairs. The state transition rate corresponding to preventive overhaul. , and Determined based on the nesting relationship between the preventive maintenance strategies.

[0029] Optionally, in the rate determination module, the probability of the ship's equipment undergoing preventative minor repairs is included. It is expressed by the following formula:

[0030]

[0031] The probability of the ship's equipment undergoing preventative mid-term repairs. It is expressed by the following formula:

[0032]

[0033] The probability of the ship's equipment undergoing preventative overhaul. It is expressed by the following formula:

[0034]

[0035] in, , The value of is related to the nesting relationship between the preventive maintenance strategies, which includes: if If a minor preventative repair is required, a medium preventative repair must be performed. Each preventive intermediate repair must be followed by a preventive major repair.

[0036] Thirdly, a computer device is also provided, comprising: a memory and a processor, wherein the memory stores at least one computer program, the at least one computer program being loaded and executed by the processor to perform the method for determining the comprehensive rate of preventive maintenance of ship equipment as described in the above embodiments.

[0037] Fourthly, a computer-readable storage medium is also provided, wherein at least one computer program is stored in the computer-readable storage medium, the at least one computer program being loaded and executed by a processor to perform the method for determining the comprehensive rate of preventive maintenance of ship equipment as described in the above embodiments.

[0038] Fifthly, a computer program product is provided, including a computer program / instructions that, when executed by a processor, implement the method described in the first aspect.

[0039] The beneficial effects of the technical solutions provided in this disclosure include at least the following:

[0040] In this embodiment of the disclosure, by performing frequency analysis on the time spent in each state transition process based on the state data, the cumulative distribution of the time spent in each state transition process can be accurately obtained. Based on this cumulative distribution, the state transition rate of each state transition process of the ship equipment can be accurately calculated. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 A flowchart is shown below illustrating a method for determining the comprehensive rate of preventive maintenance of ship equipment provided in an exemplary embodiment of this disclosure.

[0043] Figure 2 This is a schematic diagram of the state network of ship equipment;

[0044] Figure 3 This is a schematic diagram of a frequency histogram;

[0045] Figure 4 A flowchart is shown for a method for determining the comprehensive rate of preventive maintenance of ship equipment provided in another exemplary embodiment of this disclosure;

[0046] Figure 5 This is a diagram illustrating the nested relationships of preventative maintenance strategies;

[0047] Figure 6 A schematic diagram of the structure of a marine equipment preventive maintenance comprehensive rate determination device provided in an exemplary embodiment of this disclosure is shown.

[0048] Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure. Detailed Implementation

[0049] Unless otherwise defined, the technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this disclosure pertains. The terms “first,” “second,” “third,” and similar terms used in this patent application specification and claims do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms “an” or “a” and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms “comprising” or “including” and similar terms mean that the elements or objects preceding “comprising” or “including” encompass the elements or objects listed following “comprising” or “including” and their equivalents, but do not exclude other elements or objects.

[0050] To make the objectives, technical solutions, and advantages of this disclosure clearer, the embodiments of this disclosure will be described in further detail below with reference to the accompanying drawings.

[0051] Figure 1 A flowchart illustrating a method for determining the comprehensive rate of preventive maintenance for ship equipment, provided in an exemplary embodiment of this disclosure, is shown. This method can be executed by a computer device. See also Figure 1 The method includes:

[0052] In step 101, the state network of the ship's equipment is obtained.

[0053] The state network includes multiple state transition processes of ship equipment. The state transition process includes the transition from a first state to a second state. The first state and the second state are different states in the state network. The state network includes preventive maintenance states.

[0054] Shipboard instrumentation refers to the instruments and equipment used during ship operation to measure and control relevant parameters and to observe and measure the objects being measured. The types of equipment used on ships are numerous, with varying functions and performance.

[0055] Ship equipment can generally be divided into the following four types:

[0056] (1) Thermometers. Based on their usage, thermometers are divided into two categories: the first category is contact thermometers, including expansion thermometers, pressure thermometers, resistance thermometers, and thermocouple thermometers; the second category is non-contact thermometers, typically used to measure temperatures above 1000℃ for moving, rotating, or rapidly reacting high-temperature objects. The second category includes optical pyrometers, photoelectric pyrometers, spectroscopic pyrometers, colorimetric pyrometers, and infrared pyrometers.

[0057] (2) Pressure gauges. Based on their pressure measurement principles, they are divided into three categories: The first category uses a liquid column to measure pressure, including U-tube pressure gauges, single-tube pressure gauges, inclined tube pressure gauges, and piston pressure gauges. These are commonly used for measuring the scavenging pressure of diesel engines and the air pressure of boiler blowers. The second category uses elastic deformation to measure pressure, including Bourdon tube pressure gauges and electric contact pressure gauges. The third category includes other types of pressure gauges, such as average pressure gauges and maximum pressure gauges.

[0058] (3) Tachometer. Commonly used tachometers include the following four types: mechanical centrifugal tachometer, electrical tachometer (divided into generator type, capacitor type and eddy current type), mechanical technical tachometer, and photoelectric counting tachometer.

[0059] (4) Density meter, flow meter, hygrometer, salinity meter, etc.

[0060] Ship equipment includes good condition, usable condition, faulty condition, and preventive maintenance condition.

[0061] In a good condition, the measurement error of the equipment is very small. In this embodiment of the disclosure, the equipment in a good condition is assumed to be brand new equipment.

[0062] While the equipment's measurement data may contain some errors when it is in a usable state, it is still usable and the measurement data still has reference value.

[0063] In a faulty state, the equipment cannot be used. In such a state, it is necessary to carry out repair repairs or replace it directly. Repair repairs or direct replacement can restore the equipment to its original condition (that is, to a good working state).

[0064] Preventive maintenance, also known as overhaul, can restore equipment to its original condition (i.e., make it in good working order) or restore it to its old condition (i.e. make it usable).

[0065] Figure 2 This is a schematic diagram of the state network of ship equipment. For example... Figure 2 As shown, state 1 is the good condition, state 2 is the usable condition, state 3 is the faulty condition, state 4 is the first preventive maintenance condition, and state 5 is the second preventive maintenance condition. Figure 2 In the diagram, solid lines represent continuous state transition processes, and dashed lines represent discrete state transition processes.

[0066] The first and second preventive maintenance states are essentially the same, the difference lying in the preceding state transition process between them. The state transition process involved in the first preventive maintenance state includes: starting from when the ship's equipment enters a good condition, and then... The ship remains in good condition, and then transitions from good condition to the first preventive maintenance state. The transition process involved in the second preventive maintenance state includes: starting the timer from when the ship's equipment enters the good condition, and within a certain time frame... Within, it degenerates to a usable state, and after a period of time in a usable state... The system transitions from a usable state to a second preventative maintenance state. The interval for preventive maintenance. This refers to the time required to transition from a ship's equipment to a second preventative maintenance state.

[0067] Therefore, it can be seen that Figure 2 State 4 and State 5 are essentially the same, meaning that the overall rate of preventive maintenance of ship equipment involved in State 4 and State 5 is also the same. The overall rate of preventive maintenance of ship equipment involved in State 4 and State 5 includes: the rate of transition from preventive maintenance state to good condition, and the rate of transition from preventive maintenance state to usable state.

[0068] comprehensive Figure 2 According to the state network, when considering the overall rate of preventive maintenance of ship equipment, the following five state transition rates need to be calculated: the rate of transition from good condition to usable condition, the rate of transition from usable condition to faulty condition, the rate of transition from faulty condition to good condition, the rate of transition from preventive maintenance condition to good condition, and the rate of transition from preventive maintenance condition to usable condition.

[0069] In step 102, the status data of the ship's equipment is acquired.

[0070] Ship equipment condition data can be collected during the use and maintenance of ship equipment. This data reflects the condition of a particular piece of equipment. Condition data can be divided into two categories: the first is equipment performance data, including standard data and measurement data; the second is maintenance data collected during equipment overhaul.

[0071] Among these, equipment performance data refers to the data displayed by the equipment during use. Standard data is the accurate data displayed by the equipment corresponding to the operating conditions; it may be provided at the time of manufacture or determined based on experience during actual use and maintenance. Measurement data is the equipment's display data obtained under specific operating conditions during actual use. Equipment maintenance data (such as failure rate) directly reveals the failure patterns of the equipment.

[0072] If the collected status data belongs to the second type of data, the current status of the equipment can be directly obtained. If the collected status data belongs to the first type of data, the current status of the equipment can be determined based on the relative error of the equipment.

[0073] For example, the relative error of the equipment is expressed by formula (1).

[0074] (1)

[0075] In formula (1), The relative error of the equipment refers to the measured value, which is the data obtained by measuring the equipment under a certain working condition in actual use; the standard value is the data that the equipment accurately displays under the same working conditions.

[0076] The relative error of equipment can reflect its reliability level to some extent. The larger the relative error, the less accurate the data measured by the equipment. When the relative error reaches a certain level, the displayed data no longer has reference value, the equipment cannot perform its measurement function, and it can be considered that the equipment has malfunctioned. Therefore, two error thresholds can be set, and the state of the equipment can be determined by the relationship between the relative error and the error threshold. When the relative error of the equipment is less than the first error threshold, it indicates that the equipment is in good condition; when the relative error of the equipment is between the first and second error thresholds, it indicates that the equipment is in a usable state; when the relative error of the equipment is greater than the second error threshold, it indicates that the equipment is in a faulty state. The values ​​of the first and second error thresholds are empirical values, and this embodiment does not limit them.

[0077] In step 103, frequency analysis is performed on the time spent in each state transition process based on the state data to obtain the cumulative distribution of the time spent in each state transition process.

[0078] The frequency analysis process involved in step 103 is explained using the state transition process from an intact state to a usable state as an example. The frequency analysis process involved in subsequent steps can all be applied in the manner described in step 103.

[0079] Different state transition processes require the collection of different types of state data. For the two state transition processes—from good condition to usable condition and from usable condition to faulty condition—only the installation and removal times of the ship's equipment, as well as the equipment status at those times, need to be collected. For the three state transition processes involving maintenance—from faulty condition to good condition, from preventive maintenance condition to good condition, and from preventive maintenance condition to usable condition—additional data needs to be collected.

[0080] For example, for the state transition process from a faulty state to a good state, it is necessary to collect the time of disassembly of the equipment that was in a faulty state when it was disassembled, and the time of installation of the equipment after disassembly (for equipment that was in a faulty state when it was disassembled, it will be repaired or replaced directly after disassembly, and the equipment that is reinstalled after disassembly must be in a good state).

[0081] For transitioning from preventive maintenance to good condition or from preventive maintenance to usable condition, it is necessary to collect the start time of preventive maintenance, the completion time of preventive maintenance (the equipment will be reinstalled after preventive maintenance, and the completion time of preventive maintenance is equivalent to the installation time of a piece of equipment after it was disassembled for preventive maintenance), and the equipment status after the preventive maintenance is completed.

[0082] For the two state transition processes—from good condition to usable condition and from usable condition to faulty condition—when collecting condition data, it is assumed that the equipment's condition is monitored during use and that it is disassembled and replaced due to faults or preventative maintenance. That is, both corrective and preventative maintenance require disassembly before any work can be performed. Apart from this, no other repair work is carried out on the equipment during use. Under this assumption, the process from equipment installation to disassembly and confirmation of its condition is considered a complete process, and data corresponding to each process is extracted from the collected data.

[0083] When analyzing the cumulative distribution of the time taken for equipment to transition from a good state to a usable state, the relative error value of each piece of equipment at the moment of disassembly can be calculated. The installation and disassembly times of each piece of equipment were extracted, and the duration between the installation and disassembly times of each piece of equipment was calculated. In this way, each state data can form an ordered pair. .

[0084] In these pairs, The pairs of numbers between the first and second error thresholds can be used for frequency analysis of the state transition process from an intact state to a usable state. Let... The number of pairs between the first error threshold and the second error threshold is There are , these pairs can be represented as According to this In the number of pairs Frequency analysis can be performed. The time it takes for equipment to first enter a usable state from a good state is defined as a random variable, denoted as . .

[0085] When performing frequency analysis, firstly based on this In the number of pairs By constructing a frequency histogram, the frequency histogram can initially reveal... It follows a cumulative distribution. Figure 3 This is a schematic diagram of a frequency histogram, such as... Figure 3 As shown, the vertical axis of the frequency histogram represents frequency (frequency = number of frequencies / 10 ... The horizontal axis represents duration, indicating the time required to transition from a good state to a usable state. Connecting the midpoints of each interval in the frequency histogram yields a curve that provides a preliminary indication of the process. It follows a cumulative distribution.

[0086] To further refine the calculation The optimal cumulative distribution that it follows can be used for The possible cumulative distributions they follow are verified one by one.

[0087] In this embodiment of the disclosure, Possible cumulative distributions include the exponential distribution, the Weibull distribution, and the extreme value distribution. Calculate based on frequency analysis The cumulative distribution is used to apply regression models of the exponential, Weibull, and extreme value distributions to... Perform a distribution fit test on the sample data and compare the results. The goodness of fit between the cumulative distribution and each cumulative distribution is considered; a higher goodness of fit indicates a better fit. The cumulative distribution with the highest goodness of fit is selected as the optimal distribution. The cumulative distribution.

[0088] In some embodiments, software tools may also be used for curve fitting to determine... It follows a cumulative distribution. The method of curve fitting using software tools is often used for curve fitting of unknown data with uncertain distribution types. However, this method is also applicable to data that can perfectly match a known distribution, directly fitting the given distribution function parameters to obtain a state transition rate function that meets the modeling requirements.

[0089] In step 104, the state transition rate of each state transition process is determined based on the cumulative distribution of the time spent in each state transition process.

[0090] For the first type of state transition process, given that the cumulative distribution function of the time spent in a certain state transition process is known, the probability density function corresponding to the time spent in that state transition process can be further calculated, and the state transition rate of that state transition process can be calculated based on the cumulative distribution function and the probability density function. The first type of state transition process excludes preventative maintenance and includes transitions from a good state to an usable state, from an usable state to a faulty state, and from a faulty state to a good state.

[0091] The state transition rate of any first-type state transition process can be expressed by formula (2).

[0092] (2)

[0093] In formula (2), This represents the state transition rate of a certain first-type state transition process. This represents the probability density function of the first type of state transition process. This represents the cumulative distribution function of the first type of state transition process.

[0094] Let's take a first-type state transition process that follows an exponential or Weibull distribution as an example.

[0095] The probability density function of the exponential distribution is The cumulative distribution function of the exponential distribution is .in It is the average time.

[0096] If a certain first-type state transition process follows an exponential distribution, then substituting the probability density function and cumulative distribution function of the exponential distribution into formula (2) can yield the state transition rate of the first-type state transition process. .

[0097] The probability density function of the Weibull distribution is The cumulative distribution function of the Weibull distribution is .That It is the average time. It is a shape parameter.

[0098] If a certain first-type state transition process follows a Weibull distribution, then substituting the probability density function and cumulative distribution function of the exponential distribution into formula (2) can yield the state transition rate of the first-type state transition process. .

[0099] The second type of state transition process includes transitioning from preventive maintenance state to good condition and from preventive maintenance state to usable state. For the second type of state transition process, since preventive maintenance has different strategies, that is, when a ship equipment enters the preventive maintenance state, preventive maintenance is not always performed, but rather a certain preventive maintenance strategy is performed randomly according to probability. Therefore, the state transition rate of this type of state transition process cannot be directly calculated using formula (2). Instead, it is necessary to first use formula (2) to calculate the rate of different preventive maintenance strategies, and then calculate the state transition rate of the second type of state transition process based on the rate of different preventive maintenance strategies and the probability of different preventive maintenance strategies.

[0100] In this embodiment of the disclosure, by performing frequency analysis on the time spent in each state transition process based on the state data, a cumulative distribution of the time spent in each state transition process is obtained. Based on this cumulative distribution, the state transition rate of each state transition process of the ship equipment can be accurately calculated.

[0101] The following explains how to calculate the state transition rate of the second type of state transition process.

[0102] Figure 4 A flowchart is shown for a method for determining the comprehensive rate of preventive maintenance of ship equipment, provided in another exemplary embodiment of this disclosure. This method can be executed by a computer device. See also Figure 4 The method includes:

[0103] In step 401, the state network of the ship's equipment is obtained.

[0104] The state network comprises multiple state transition processes of ship equipment. Each state transition process includes a transition from a first state to a second state, where the first and second states are different states in the state network.

[0105] In step 402, the status data of the ship's equipment is acquired.

[0106] The relevant content of steps 401 to 402 is the same as that of steps 101 to 102 mentioned above, and will not be described in detail here.

[0107] In step 403, a set of preventive maintenance strategies is obtained.

[0108] The preventive maintenance strategy set includes preventive minor repairs, preventive intermediate repairs, and preventive major repairs.

[0109] After a preventative minor repair, there is a high probability that the equipment will be restored to a usable condition, and a very small probability that it will be restored to a fully functional condition. After a preventative medium repair, the equipment will return to either a fully functional or usable condition with a certain probability. After a preventative major repair, there is a high probability that the equipment will be restored to a fully functional condition, and a very small probability that it will be restored to a usable condition. Preventative maintenance can be performed in both fully functional and usable conditions.

[0110] There is a nested relationship between preventive maintenance strategies. In this embodiment of the disclosure, the nested relationship between preventive maintenance strategies includes: if... If a minor preventative repair is required, a medium preventative repair must be performed. Each preventive intermediate repair must be followed by a preventive major repair.

[0111] Figure 5 This is a diagram illustrating the nested relationships of preventative maintenance strategies. Figure 5 middle, and Taking 2 for all, it can be seen that every two preventive minor repairs require one preventive medium repair, and every two preventive medium repairs require one preventive major repair.

[0112] In step 404, based on the status data, frequency analysis is performed on the time spent by different preventive maintenance strategies to obtain the cumulative distribution of the time spent by each preventive maintenance strategy.

[0113] When conducting frequency analysis on the time spent by different preventive maintenance strategies, taking preventive minor repairs as an example, the time difference between the start and completion times of preventive minor repairs for each piece of equipment can be obtained. The time difference is used to indicate the time spent on preventive minor repairs. Then, the time spent on preventive minor repairs is analyzed by frequency analysis in step 103, and finally the cumulative distribution of the time spent on preventive minor repairs is obtained.

[0114] Preventive intermediate and major repairs can also be handled in the same way as preventive minor repairs, thus obtaining a cumulative distribution of the time spent on each preventive maintenance strategy.

[0115] In step 405, the state transition rate corresponding to each preventive maintenance strategy is determined based on the cumulative distribution of the time spent by each preventive maintenance strategy.

[0116] After obtaining the cumulative distribution of the time spent by each preventive maintenance strategy, the state transition rate corresponding to each preventive maintenance strategy can be obtained through the method in step 104.

[0117] Taking preventive minor repair as an example, firstly, the probability density function corresponding to the preventive minor repair is determined according to the cumulative distribution function that the preventive minor repair follows. Then, the cumulative distribution function and probability density function of the preventive minor repair are substituted into formula (2) to obtain the state transition rate of the preventive minor repair.

[0118] Preventive intermediate and major repairs can also be handled in the same way as preventive minor repairs, thereby obtaining the state transition rate corresponding to each preventive maintenance strategy.

[0119] In step 406, the state transition rate of the second type of state transition process is determined based on the state transition rate corresponding to each preventive maintenance strategy and the nesting relationship between preventive maintenance strategies.

[0120] The second type of state transition process includes the state transition rate from preventive maintenance state to good state and the state transition from preventive maintenance state to usable state.

[0121] Optionally, the state transition rate from preventive maintenance state to good condition is expressed by formula (3).

[0122] (3)

[0123] The state transition rate from preventive maintenance state to usable state is expressed by formula (4).

[0124] (4)

[0125] In formulas (3) and (4), The state transition rate from preventive maintenance to good condition. The state transition rate from preventive maintenance to availability. The probability of performing preventative minor repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative minor repairs. The probability of performing preventative mid-term repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative mid-term repairs. The probability of performing preventative overhauls on ship equipment. To determine the probability of restoring ship equipment to its best condition after preventative overhaul. The state transition rate corresponding to preventative minor repairs. The state transition rate corresponding to preventative intermediate repairs. The state transition rate corresponding to preventive overhaul. , and Determined based on the nesting relationships between preventative maintenance strategies. , and It is a known constant value, and empirical values ​​can be taken, and usually... .

[0126] The probability of preventing minor repairs to ship equipment It is expressed using formula (5).

[0127] (5)

[0128] The probability of preventing mid-term repairs for ship equipment It is expressed using formula (6).

[0129] (6)

[0130] The probability of ship equipment undergoing preventive overhaul It is expressed using formula (7).

[0131] (7)

[0132] In formulas (5) to (7), , The value of is related to the nesting relationship between preventive maintenance strategies. The nesting relationship between preventive maintenance strategies includes: if If a minor preventative repair is required, a medium preventative repair must be performed. For each preventive intermediate repair, a preventive major repair must be carried out. The meanings of other parameters in formulas (5) to (7) are the same as those in formulas (3) and (4), and are omitted here in detail.

[0133] State network equations can be constructed based on state networks, and the aforementioned comprehensive rate can be applied to state network equations to facilitate solving them.

[0134] set up For equipment in Based on the state network, the state at each moment is determined by introducing the state dwell time using the supplementary variable method. Then the state transition process of the equipment can be regarded as a generalized Markov process, and the state network equation can be represented by formula (8).

[0135] (8)

[0136] In formula (8), Indicates in Time, stay time is The equipment is in a state The probability, It is a positive integer. The value range is 1 to 5. The relevant definitions of states 1 to 5 are given in step 101 above, and are omitted here. This represents the rate at which a state transitions from a good state to a usable state. This indicates the rate at which a state transitions from a usable state to a faulty state. This represents the rate at which a state transitions from a faulty state to a healthy state. This indicates the rate at which a state transitions from preventative maintenance to good condition. This indicates the rate at which a condition is transitioned from preventative maintenance to usability. All five rates mentioned above refer to dwell time. The five rates can be calculated using the methods described in steps 101 to 104 and steps 401 to 406.

[0137] Since the steady-state solution to the state network equations exists, when solving for the probabilities of each state in steady state, since the probabilities in steady state are independent of absolute time, we can directly set the absolute time in the state network equations as independent of absolute time. Then formula (8) can be simplified to the form of formula (9).

[0138] (9)

[0139] In formula (9), Indicates the length of stay. The equipment is in a state The probability, It is a positive integer. The value range of is 1 to 5. The meanings of the other parameters in formula (9) are the same as those in formula (8), and are omitted here.

[0140] Step b, the preventive maintenance interval is a time value. Solve the state network equations under these conditions to obtain the time values. The probability of the corresponding ship equipment being in each state.

[0141] Time value For the first time set Each time value.

[0142] After obtaining the state network equation (i.e., formula (9)), boundary conditions and initial conditions can be defined to solve the state network equation.

[0143] Boundary conditions can be expressed using formula (10), and initial conditions can be expressed using formula (11).

[0144] (10)

[0145] (11)

[0146] In formulas (10) and (11), Indicates the length of stay When the value is 0 (i.e., the initial state), the equipment is in a certain state. The probability, The interval for preventive maintenance. This is the time required to transition from the ship's equipment to the second preventive maintenance condition. The meanings of the other parameters in formula (10) are the same as those in formula (9), and are omitted here for further details.

[0147] By combining the boundary conditions, initial conditions and state network equations, we can obtain formula (12).

[0148] (12)

[0149] The meaning of the parameters in formula (12) is the same as that in formulas (9) and (10), and will not be elaborated here.

[0150] When the equipment state transition network reaches steady state, the state The steady-state probability can be expressed as: .

[0151] States 1 and 2 are special cases. State 1 has a specific duration... When the time comes, it will definitely transition to state 4 for preventative maintenance. Therefore, the dwell time in state 1 is... Therefore Similarly, state 2 during the stay time When this happens, the system will definitely transition to state 5 for preventative maintenance. Therefore, the dwell time in state 2 is... Therefore Furthermore, in steady state, the sum of the probabilities of all states in the equipment state network is 1, that is... Based on this, formula (6) can be solved to obtain the steady-state probability values ​​of each state in the set of states of the ship's equipment. These steady-state probability values ​​are related to... and The value of is related.

[0152] It is important to note that This refers to the interval during which equipment transitions from a usable state to a preventive maintenance state under steady-state conditions. It consists of two parts: first, the preventive maintenance time begins when the equipment enters a good condition; second, during the preventive maintenance interval T, the equipment reaches a usable state but has not yet reached a faulty state. At this point... Secondly, preventative maintenance timing begins when the equipment enters a usable state. .

[0153] Combining the two parts above, It can be expressed using the following formula (13).

[0154] (13)

[0155] In formula (13), This represents the steady-state probability of the equipment being in state 1. This represents the steady-state probability of the equipment being in state 2. The meanings of the other parameters in formula (13) are the same as those in formulas (9) and (10), and are omitted here in detail.

[0156] Combining formulas (12) and (13), it can be seen that, due to , , , , All parameters are known, therefore the variables in the simplified state network equation (i.e., formula (12)) are and ,and It can also be used To express.

[0157] Based on this, when solving the state network equations, we can first set... The value of , and then given the initial value of the steady-state probability of the equipment in each state (that is) arrive (initial values), substituting these initial values ​​into formula (13) yields The initial value, then , Substituting the initial values ​​into formula (12), we can solve for the steady-state probabilities of each state in the first iteration. Then, we can substitute the calculated steady-state probabilities of each state in the first iteration into formula (13) to obtain the steady-state probabilities in the second iteration. Then In the second iteration Substitute into formula (12) to solve for the steady-state probability of each state in the second iteration. This process can be repeated multiple times until the error between the steady-state probability of each state in the m-th iteration and the steady-state probability of each state obtained in the (m+1)-th iteration is less than the error threshold. At this point, the iteration can be stopped, and the steady-state probability of each state obtained in the m-th or (m+1)-th iteration can be used as the final calculated preventive maintenance interval. The steady-state probability of ship equipment in various states under certain conditions.

[0158] For example, This indicates that iteration can be stopped. Let be the steady-state probability of the i-th state in the m-th iteration. Let be the steady-state probability of the i-th state in the (m+1)-th iteration, where m is a positive integer. For example, as an error threshold, .

[0159] The following are device embodiments of this application. For details not described in detail in the device embodiments, please refer to the above method embodiments.

[0160] Figure 6 A schematic diagram of a marine equipment preventive maintenance comprehensive rate determination device provided in an exemplary embodiment of this disclosure is shown. See also Figure 6 The ship is equipped with a preventive maintenance integrated rate determination device 600, which includes: a first acquisition module 601, a second acquisition module 602, a frequency analysis module 603, and a rate determination module 604.

[0161] The first acquisition module 601 is used to acquire the state network of the ship's equipment. The state network includes multiple state transition processes of the ship's equipment. The state transition process includes a transition from a first state to a second state. The first state and the second state are different states in the state network. The state network includes preventive maintenance states.

[0162] The second acquisition module 602 is used to acquire the status data of ship equipment.

[0163] The frequency analysis module 603 is used to perform frequency analysis on the time spent in each state transition process based on the state data, and to obtain the cumulative distribution of the time spent in each state transition process.

[0164] The rate determination module 604 is used to determine the state transition rate of each state transition process based on the cumulative distribution of the time spent in each state transition process.

[0165] Optionally, the state transition process includes transitioning from a preventive maintenance state to an intact state and from a preventive maintenance state to an usable state. The frequency analysis module 603 is also used to obtain a set of preventive maintenance strategies, which includes preventive minor repairs, preventive medium repairs, and preventive major repairs. Based on the state data, frequency analysis is performed on the time spent by different preventive maintenance strategies to obtain the cumulative distribution of the time spent by each preventive maintenance strategy.

[0166] Optionally, the rate determination module 604 is further configured to determine the state transition rate corresponding to each preventive maintenance strategy based on the cumulative distribution of the time spent by each preventive maintenance strategy; and to determine the state transition rate from the preventive maintenance state to the intact state and the state transition rate from the preventive maintenance state to the usable state based on the state transition rate corresponding to each preventive maintenance strategy and the nesting relationship between preventive maintenance strategies.

[0167] Optionally, in the rate determination module 604, the state transition rate from preventive maintenance state to good condition state is expressed by the following formula:

[0168]

[0169] The rate of transition from preventative maintenance condition to ready-to-use condition is expressed by the following formula:

[0170]

[0171] in, The state transition rate from preventive maintenance to good condition. The state transition rate from preventive maintenance to availability. The probability of performing preventative minor repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative minor repairs. The probability of performing preventative mid-term repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative mid-term repairs. The probability of performing preventative overhauls on ship equipment. To determine the probability of restoring ship equipment to its best condition after preventative overhaul. The state transition rate corresponding to preventative minor repairs. The state transition rate corresponding to preventative intermediate repairs. The state transition rate corresponding to preventive overhaul. , and Determined based on the nesting relationships between preventative maintenance strategies.

[0172] Optionally, in the rate determination module 604, the probability of the ship's equipment undergoing preventative minor repairs is included. It is expressed by the following formula:

[0173]

[0174] The probability of preventing mid-term repairs for ship equipment It is expressed by the following formula:

[0175]

[0176] The probability of ship equipment undergoing preventive overhaul It is expressed by the following formula:

[0177]

[0178] in, , The value of is related to the nesting relationship between preventive maintenance strategies. The nesting relationship between preventive maintenance strategies includes: if If a minor preventative repair is required, a medium preventative repair must be performed. Each preventive intermediate repair must be followed by a preventive major repair.

[0179] It should be noted that the above-described embodiment of the ship equipment preventive maintenance comprehensive rate determination device is only illustrated by the division of the functional modules described above. In practical applications, the functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the ship equipment preventive maintenance comprehensive rate determination device and the ship equipment preventive maintenance comprehensive rate determination method embodiment belong to the same concept, and their specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0180] The module division in this embodiment is illustrative and represents only one logical functional division. In actual implementation, other division methods are possible. Furthermore, the functional modules in the various embodiments of this disclosure can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0181] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a terminal device (which may be a personal computer, mobile phone, or communication device, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0182] Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure. For example... Figure 7 As shown, the computer device 700 includes a processor 701 and a memory 702.

[0183] Processor 701 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 701 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 701 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 701 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 701 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0184] The memory 702 may include one or more computer-readable storage media, which may be non-transitory. The memory 702 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 702 is used to store at least one instruction, which is executed by the processor 701 to implement the marine equipment preventive maintenance integrated rate determination method provided in this disclosure embodiment.

[0185] Those skilled in the art will understand that Figure 7 The structure shown does not constitute a limitation on the computer device 700, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0186] This disclosure also provides a non-transitory computer-readable storage medium, wherein when the instructions in the storage medium are executed by the processor of a computer device, the computer device is able to execute the method for determining the comprehensive rate of preventive maintenance of ship equipment provided in this disclosure.

[0187] This disclosure also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the method for determining the comprehensive rate of preventive maintenance of ship equipment provided in this disclosure.

[0188] The above description is merely an optional embodiment of this disclosure and is not intended to limit this disclosure. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the protection scope of this disclosure.

Claims

1. A method for determining the comprehensive rate of preventive maintenance for ship equipment, characterized in that, The method includes: A state network of ship equipment is obtained, the state network including multiple state transition processes of ship equipment, the state transition process including transition from a first state to a second state, the first state and the second state being different states in the state network, the state network including good state, usable state, fault state, first preventive maintenance state and second preventive maintenance state; Acquire status data of ship equipment; Based on the state data, a frequency analysis is performed on the time spent in each state transition process to obtain the cumulative distribution of the time spent in each state transition process. The state transition rate of each state transition process is determined based on the cumulative distribution of the time spent in each state transition process. Based on the state network, a state network equation is constructed, and the state transition rate of each state transition process is used to solve the state network equation. Solving the state network equation yields the steady-state probability of each state in the state network under steady-state conditions. The steady-state probability is used to calculate the preventive maintenance interval of ship equipment. The state transition process of the first preventive maintenance state includes: multiple state transition processes of the ship equipment, including timing from the start of the ship equipment entering the good condition, and the elapsed time. It is still in good condition, and then it will be transferred from good condition to the first preventive maintenance condition; The state transition process for the second preventive maintenance state includes: starting the timer from when the ship's equipment enters a good condition, and within a certain time frame... Within, it degenerates to a usable state, and after a period of time in a usable state... The system transitions from a usable state to a second preventive maintenance state. in, The interval for preventive maintenance. This refers to the time required for ship equipment to transition from a usable state to a second preventative maintenance state.

2. The method according to claim 1, characterized in that, The step of performing frequency analysis on the time spent in each state transition process based on the state data to obtain the cumulative distribution of the time spent in each state transition process includes: Obtain a set of preventive maintenance strategies, which includes preventive minor repairs, preventive medium repairs, and preventive major repairs; Based on the state data, frequency analysis was performed on the time spent by different preventive maintenance strategies to obtain the cumulative distribution of the time spent by each preventive maintenance strategy.

3. The method according to claim 2, characterized in that, Determining the state transition rate of each state transition process based on the cumulative distribution of the time spent in each state transition process includes: Based on the cumulative distribution of the time spent by each preventive maintenance strategy, determine the state transition rate corresponding to each preventive maintenance strategy; Based on the state transition rate corresponding to each preventive maintenance strategy and the nesting relationship between preventive maintenance strategies, determine the state transition rate from the preventive maintenance state to the good state and the state transition rate from the preventive maintenance state to the usable state.

4. The method according to claim 3, characterized in that, The state transition rate from preventive maintenance to good condition is expressed by the following formula: The state transition rate from preventive maintenance state to usable state is expressed by the following formula: in, The state transition rate from preventive maintenance state to good condition is [the rate at which the state transitions from preventive maintenance state to good condition]. The state transition rate from preventive maintenance state to available state is defined as this. The probability of performing preventative minor repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative minor repairs. The probability of performing preventative mid-term repairs on ship equipment. To increase the probability of restoring ship equipment to good condition after preventative mid-term repairs. The probability of performing preventative overhauls on ship equipment. To determine the probability of restoring ship equipment to its best condition after preventative overhaul. The state transition rate corresponding to preventative minor repairs. The state transition rate corresponding to preventative intermediate repairs. The state transition rate corresponding to preventive overhaul. , and Determined based on the nesting relationship between the preventive maintenance strategies.

5. The method according to claim 4, characterized in that, The probability of the ship's equipment undergoing preventative minor repairs. It is expressed by the following formula: The probability of the ship's equipment undergoing preventative mid-term repairs. It is expressed by the following formula: The probability of the ship's equipment undergoing preventative overhaul. It is expressed by the following formula: in, , The value of is related to the nesting relationship between the preventive maintenance strategies, which includes: if If a minor preventative repair is required, a medium preventative repair must be performed. Each preventive intermediate repair must be followed by a preventive major repair.

6. A device for determining the comprehensive rate of preventive maintenance for ship equipment, characterized in that, The device includes: The first acquisition module is used to acquire the state network of the ship's equipment. The state network includes multiple state transition processes of the ship's equipment. The state transition process includes a transition from a first state to a second state. The first state and the second state are different states in the state network. The state network includes an intact state, an usable state, a fault state, a first preventive maintenance state, and a second preventive maintenance state. The second acquisition module is used to acquire the status data of ship equipment; The frequency analysis module is used to perform frequency analysis on the time spent in each state transition process based on the state data, and to obtain the cumulative distribution of the time spent in each state transition process. The rate determination module is used to determine the state transition rate of each state transition process according to the cumulative distribution of the time spent in each state transition process, construct a state network equation based on the state network, and use the state transition rate of each state transition process to solve the state network equation. Solving the state network equation yields the steady-state probability of each state in the state network under steady state, and the steady-state probability is used to calculate the preventive maintenance interval of ship equipment. The state transition process of the first preventive maintenance state includes: multiple state transition processes of the ship equipment, including timing from the start of the ship equipment entering the good condition, and the elapsed time. It is still in good condition, and then it will be transferred from good condition to the first preventive maintenance condition; The state transition process for the second preventive maintenance state includes: starting the timer from when the ship's equipment enters a good condition, and within a certain time frame... Within, it degenerates to a usable state, and after a period of time in a usable state... The system transitions from a usable state to a second preventive maintenance state. in, The interval for preventive maintenance. This refers to the time required for ship equipment to transition from a usable state to a second preventative maintenance state.

7. The device for determining the comprehensive rate of preventive maintenance for ship equipment according to claim 6, characterized in that, The frequency analysis module is also used to obtain a set of preventive maintenance strategies, which includes preventive minor repairs, preventive medium repairs, and preventive major repairs. Based on the state data, frequency analysis was performed on the time spent by different preventive maintenance strategies to obtain the cumulative distribution of the time spent by each preventive maintenance strategy.

8. A computer device, characterized in that, The computer device includes a memory and a processor, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the method according to any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one computer program, which is loaded and executed by a processor to implement the method of any one of claims 1 to 5.

10. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the method described in any one of claims 1 to 5.

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