Method and device for determining preventive maintenance intervals for ship equipment
By constructing state network equations to calculate the availability of ship equipment and determine the preventive maintenance interval, the problem of ship equipment being difficult to maintain during navigation is solved, ensuring ship safety and maintenance efficiency.
Patent Information
- Application Number
- CN202511058142.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-30
- Publication Date
- 2025-11-25
- Estimated Expiration
- 2045-07-30
AI Technical Summary
Ship equipment is difficult to inspect and maintain in a concentrated manner during navigation, which leads to complex maintenance tasks and affects navigation reliability. It is necessary to accurately determine the interval of preventive maintenance to ensure ship safety.
By constructing a state network equation for ship equipment, calculating the availability of the equipment at different time points, and using the availability threshold to determine the preventive maintenance interval, a method and apparatus for determining the preventive maintenance interval of ship equipment is provided. The method includes obtaining a first range of values for the preventive maintenance interval, performing discretization processing, calculating availability, and determining the selectable time value.
It enables accurate calculation of preventive maintenance intervals for ship equipment, ensuring that maintenance is carried out within a reasonable period, thereby improving the reliability of ship navigation and maintenance efficiency.
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Figure CN120563113B_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of marine equipment, and in particular to a method and apparatus for determining the preventive maintenance interval of marine equipment. Background Technology
[0002] Centralized and periodic maintenance of equipment on ships is subject to both time and space constraints. For example, during a ship's voyage, centralized and periodic maintenance of equipment is difficult to carry out due to limitations such as the crew's maintenance skills, onboard maintenance support facilities and equipment, and maintenance space.
[0003] In order to simplify maintenance tasks and improve maintenance efficiency, ship users and managers prefer to maintain ship equipment through preventive maintenance (removing equipment and sending it to an onshore repair shop for centralized maintenance) after the ship docks.
[0004] Ideally, a ship's equipment would not malfunction during each voyage, and preventative maintenance after the ship docks would ensure its reliability. However, some ship equipment may malfunction during voyages. Therefore, it is necessary to accurately determine the preventative maintenance intervals for ship equipment to ensure that the ship's docking frequency falls within reasonable preventative maintenance intervals, thus guaranteeing the reliability of the ship's navigation. Summary of the Invention
[0005] This disclosure provides a method and apparatus for determining the preventive maintenance interval of ship equipment, which can accurately calculate the preventive maintenance interval of ship equipment. The technical solution includes at least the following:
[0006] In a first aspect, a method for determining the preventive maintenance interval of ship equipment is provided, comprising: obtaining a first value range for the preventive maintenance interval of ship equipment; discretizing the first value range to obtain a first time set, wherein the first time set includes multiple time values within the first value range; calculating the availability of ship equipment corresponding to each time value in the first time set; and determining a second time set based on the relationship between the availability of ship equipment corresponding to each time value in the first time set and an availability threshold, wherein the time values in the second time set are selectable time values for the preventive maintenance interval of ship equipment.
[0007] Optionally, calculating the availability of ship equipment corresponding to each time value in the first time set includes: constructing a state network equation for the ship equipment, wherein the state network equation includes multiple states of the ship equipment, including a good state and a usable state; and using the preventive maintenance interval as the time value. Solve the state network equations under the given conditions to obtain the time values. The probability of the corresponding ship equipment being in each state, the time value. For the first time set A time value; based on the time value The probability that the corresponding ship equipment is in good condition and the time value. The probability that the corresponding ship equipment is in a usable state is used to determine the time value. The availability of the corresponding ship equipment.
[0008] Optionally, the step of basing the time value The probability that the corresponding ship equipment is in good condition and the time value. The probability that the corresponding ship equipment is in a usable state is used to determine the time value. The availability of the corresponding ship equipment includes: determining the time value using the following formula. The availability of corresponding ship equipment:
[0009]
[0010] in, The time value The availability of the corresponding ship equipment, The time value The probability that the corresponding ship equipment is in good condition. The time value The probability that the corresponding ship equipment is in a usable condition.
[0011] Optionally, determining the second time set based on the relationship between the availability of ship equipment and the availability threshold corresponding to each time value in the first time set includes: at the time value If the availability of the corresponding ship equipment is greater than or equal to the availability threshold, the time value will be... Stored in the second time set.
[0012] Secondly, a device for determining the preventive maintenance interval of ship equipment is also provided, comprising: an acquisition module for acquiring a first value range of the preventive maintenance interval of ship equipment; a discretization module for discretizing the first value range to obtain a first time set, the first time set including multiple time values within the first value range; a calculation module for calculating the availability of ship equipment corresponding to each time value in the first time set; and a time determination module for determining a second time set based on the relationship between the availability of ship equipment corresponding to each time value in the first time set and an availability threshold, wherein the time values in the second time set are selectable time values for the preventive maintenance interval of ship equipment.
[0013] Optionally, the calculation module is further configured to construct a state network equation for the ship's equipment, the state network equation including multiple states of the ship's equipment, the multiple states including a good state and a usable state; the preventive maintenance interval is a time value. Solve the state network equations under the given conditions to obtain the time values. The probability of the corresponding ship equipment being in each state, the time value. For the first time set A time value; based on the time value The probability that the corresponding ship equipment is in good condition and the time value. The probability that the corresponding ship equipment is in a usable state is used to determine the time value. The availability of the corresponding ship equipment.
[0014] Optionally, the calculation module is further configured to determine the time value using the following formula. The availability of corresponding ship equipment:
[0015]
[0016] in, The time value The availability of the corresponding ship equipment, The time value The probability that the corresponding ship equipment is in good condition. The time value The probability that the corresponding ship equipment is in a usable condition.
[0017] Optionally, the time determination module is further configured to determine the time value If the availability of the corresponding ship equipment is greater than or equal to the availability threshold, the time value will be... Stored in the second time set.
[0018] 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 preventive maintenance interval of ship equipment as described in the above embodiments.
[0019] 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 preventive maintenance interval of ship equipment as described in the above embodiments.
[0020] 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.
[0021] The beneficial effects of the technical solutions provided in this disclosure include at least the following:
[0022] In this embodiment of the disclosure, by obtaining a first range of values for the preventive maintenance interval of ship equipment, discretizing the first range of values to obtain a first time set, calculating the availability of ship equipment corresponding to each time value in the first time set, and determining a second time set based on the relationship between the availability of ship equipment corresponding to each time value in the first time set and the availability threshold, the preventive maintenance interval of ship equipment can be accurately calculated.
[0023] When performing maintenance on ship equipment according to the preventive maintenance interval, ideally the ship's berthing cycle should fall within the second time set, so that the ship's equipment can be maintained during the ship's berthing cycle.
[0024] If the ship's berthing cycle is not within the second time set (i.e., the time values within the second time set are all ship sailing times), then the importance of the corresponding equipment needs to be considered. If a failure of a piece of ship equipment has little impact on the ship's normal operation, then the equipment can be repaired after the ship berths. However, if a failure of a piece of ship equipment is crucial to the ship's normal operation, then appropriate maintenance support personnel need to be deployed on board, and the optimal value for the preventive maintenance interval of the equipment needs to be calculated. The ship's maintenance support personnel should then conduct regular maintenance on the equipment according to the optimal preventive maintenance interval to ensure the reliability of the ship's navigation. Attached Figure Description
[0025] 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.
[0026] Figure 1 A flowchart illustrating a method for determining the preventive maintenance interval for ship equipment provided in an exemplary embodiment of this disclosure is shown.
[0027] Figure 2 A flowchart is shown for a method for determining the preventive maintenance interval of ship equipment provided in another exemplary embodiment of this disclosure;
[0028] Figure 3 This is a schematic diagram of the state network of ship equipment;
[0029] Figure 4 This is a schematic diagram of the second time set;
[0030] Figure 5 This illustration shows a structural schematic diagram of a device for determining the preventive maintenance interval of ship equipment provided in an exemplary embodiment of the present disclosure;
[0031] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure. Detailed Implementation
[0032] 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.
[0033] 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.
[0034] Figure 1 A flowchart illustrating a method for determining the preventive maintenance interval for ship equipment according to an exemplary embodiment of this disclosure is shown. This method can be executed by a computer device. See also Figure 1 The method includes:
[0035] In step 101, a first range of values for the preventive maintenance interval of the ship's equipment is obtained.
[0036] The first range of values represents the possible range of preventive maintenance intervals for ship equipment. Within this range, some time values may meet the requirements for preventive maintenance intervals, while others may not. Verification and analysis of the time values within the first range are needed to determine the time values that meet the requirements for preventive maintenance intervals. Typically, the first range is an empirical value.
[0037] In step 102, the first value range is discretized to obtain the first time set.
[0038] The first time set includes multiple time values within a first value range.
[0039] For example, the step size of the discretization process is The first range of values is , It is the lower limit of the first range of values. It is the upper limit of the first range of values; therefore, the first time set includes a total of A time value, , No. Time value .in It is a positive integer. The value range is 1 to .
[0040] For example, if the first value range is (5 days, 20 days), then the step size can be selected as 1 day, and the first time set includes a total of 15 time values.
[0041] In step 103, the availability of ship equipment corresponding to each time value in the first time set is calculated.
[0042] When implementing step 103, a state network of the ship equipment can be constructed first, and a state network equation can be established based on the state network. After substituting a time value into the state network equation, the availability of the ship equipment can be calculated based on the steady-state solution of the state network equation.
[0043] In step 104, a second time set is determined based on the relationship between the availability of ship equipment and the availability threshold corresponding to each time value in the first time set.
[0044] The time values in the second time set are optional time values for the preventive maintenance interval of ship equipment.
[0045] The availability threshold is a known fixed value. If the availability corresponding to a certain time value meets the requirements of the availability threshold, it means that the time value meets the requirements of the preventive maintenance interval of the ship's equipment, and the time value can be stored in the second time set. If the availability corresponding to a certain time value does not meet the requirements of the availability threshold, it means that the time value does not meet the requirements of the preventive maintenance interval of the ship's equipment, and the time value can be discarded.
[0046] Based on the availability of ship equipment corresponding to each time value in the second time set, the optimal value for the preventive maintenance interval can also be determined. For example, the availability of ship equipment corresponding to each time value in the second time set can be arranged in order of magnitude, and the time value with the highest availability is the optimal value for the preventive maintenance interval.
[0047] In this embodiment of the disclosure, by obtaining a first range of values for the preventive maintenance interval of ship equipment, discretizing the first range of values to obtain a first time set, calculating the availability of ship equipment corresponding to each time value in the first time set, and determining a second time set based on the relationship between the availability of ship equipment corresponding to each time value in the first time set and the availability threshold, the preventive maintenance interval of ship equipment can be accurately calculated.
[0048] When performing maintenance on ship equipment according to the preventive maintenance interval, ideally the ship's berthing cycle should fall within the second time set, so that the ship's equipment can be maintained during the ship's berthing cycle.
[0049] If the ship's berthing cycle is not within the second time set (i.e., the time values within the second time set are all ship sailing times), then the importance of the corresponding equipment needs to be considered. If a failure of a piece of ship equipment has little impact on the ship's normal operation, then the equipment can be repaired after the ship berths. However, if a failure of a piece of ship equipment is crucial to the ship's normal operation, then appropriate maintenance support personnel need to be deployed on board, and the optimal value for the preventive maintenance interval of the equipment needs to be calculated. The ship's maintenance support personnel should then conduct regular maintenance on the equipment according to the optimal preventive maintenance interval to ensure the reliability of the ship's navigation.
[0050] Figure 2 A flowchart illustrating a method for determining preventive maintenance intervals for ship equipment, provided in another exemplary embodiment of this disclosure, is shown. This method can be executed by a computer device. See also Figure 2 The method includes:
[0051] In step 201, a first range of values for the preventive maintenance interval of the ship's equipment is obtained.
[0052] In step 202, the first value range is discretized to obtain the first time set.
[0053] The first time set includes multiple time values within a first value range.
[0054] The contents of steps 201 to 202 are the same as those of steps 101 to 102 mentioned above, and are omitted here in detail.
[0055] In step 203, the availability of ship equipment corresponding to each time value in the first time set is calculated.
[0056] Optionally, the following steps (ac) are used to calculate the first time set. The availability of ship equipment corresponding to each time value.
[0057] Step a: Construct the state network equations for the ship's equipment.
[0058] The state network equations include multiple states of the ship's equipment, including the intact state and the usable state.
[0059] Before constructing the state network equations of ship equipment, it is necessary to construct the state network of ship equipment.
[0060] 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.
[0061] Ship equipment can generally be divided into the following four types:
[0062] (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.
[0063] (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.
[0064] (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.
[0065] (4) Density meter, flow meter, hygrometer, salinity meter, etc.
[0066] Ship equipment includes good condition, usable condition, faulty condition, and preventive maintenance condition.
[0067] 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.
[0068] 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.
[0069] 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).
[0070] 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).
[0071] The condition of ship equipment can be obtained through condition data (such as condition data collected during use and maintenance). Condition data can be divided into two categories: the first category is equipment performance data, including standard data and measurement data; the second category is maintenance data collected during equipment overhaul.
[0072] 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 acquired under specific operating conditions during actual use. Equipment maintenance data (such as failure rate) directly reveals the equipment's failure patterns. 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 equipment's relative error.
[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] Figure 3 This is a schematic diagram of the state network of ship equipment. For example... Figure 3 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 3 In the diagram, solid lines represent continuous state transition processes, and dashed lines represent discrete state transition processes.
[0078] 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.
[0079] 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 (2).
[0080] (2)
[0081] In formula (2), 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 202 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 function.
[0082] Based on the state network described above, and assuming that the state transition rates involved in different preventative maintenance are the same, solving the state network equations requires obtaining the following five state transition rates: the rate of transition from an intact state to an usable state. The rate at which a state transitions from a usable state to a faulty state The rate at which a faulty state transitions to a healthy state The rate at which a condition is transitioned from preventative maintenance to good working order. The rate at which a device transitions from preventative maintenance to serviceability. .
[0083] Having collected ship condition data and determined the ship's equipment condition based on the relative errors of the equipment, to simplify subsequent calculations and analysis, we can assume that all five rates follow an exponential distribution. Then, we can calculate these five rates; for example, the reciprocal of the average time it takes for ship equipment to transition from a good condition to a usable condition is the rate at which it transitions from a good condition to a usable condition.
[0084] 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 (2) can be simplified to the form of formula (3).
[0085] (3)
[0086] In formula (3), 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 (3) are the same as those in formula (2), and are omitted here.
[0087] 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.
[0088] Time value For the first time set Each time value.
[0089] After obtaining the state network equation (i.e., formula (3)), boundary conditions and initial conditions can be defined to solve the state network equation.
[0090] Boundary conditions can be expressed using formula (4), and initial conditions can be expressed using formula (5).
[0091] (4)
[0092] (5)
[0093] In formulas (4) and (5), 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 state. The meanings of the other parameters in formula (4) are the same as in formula (3), and are omitted here in detail.
[0094] By combining the boundary conditions, initial conditions and state network equations, we can obtain formula (6).
[0095] (6)
[0096] The meaning of the parameters in formula (6) is the same as that in formulas (3) and (4), and will not be elaborated here.
[0097] When the equipment state transition network reaches steady state, the state The steady-state probability can be expressed as: .
[0098] 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.
[0099] 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. .
[0100] Combining the two parts above, It can be expressed using the following formula (7).
[0101] (7)
[0102] In formula (7), 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 (7) are the same as those in formulas (3) and (4), and are omitted here in detail.
[0103] Combining formulas (6) and (7), it can be seen that, due to , , , , All parameters are known, therefore the variables in the simplified state network equation (i.e., formula (6)) are and ,and It can also be used To express.
[0104] Based on this, when solving the state network equations, the time values can be considered first. Substituting into the state network equation Then, initial values are given for the steady-state probabilities of the equipment in each state (i.e., arrive (initial values), substituting these initial values into formula (7) yields The initial value, then , Substituting the initial values into formula (6), 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 (7) to obtain the steady-state probabilities in the second iteration. Then In the second iteration, the steady-state probabilities of each state are obtained by substituting into formula (6). This process can be repeated multiple times until the error between the steady-state probabilities of each state in the m-th iteration and those in the (m+1)-th iteration is less than the error threshold. At this point, the iteration can be stopped, and the steady-state probabilities of each state obtained in the m-th or (m+1)-th iteration can be used as the final time value. The probability of the corresponding ship equipment being in each state.
[0105] 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, .
[0106] Step c, based on time value The probability and time value of the corresponding ship equipment being in good condition. The probability that the corresponding ship equipment is in a usable condition, and the time value for determination. The availability of the corresponding ship equipment.
[0107] Optionally, step c can be represented by the following formula (8).
[0108] (8)
[0109] In formula (8), Time value The availability of the corresponding ship equipment, Time value The probability that the corresponding ship equipment is in good condition. Time value The probability that the corresponding ship equipment is in a usable condition.
[0110] Any time value in the first time set can be processed using the methods described in steps a to c above, thereby obtaining the availability of ship equipment corresponding to each time value in the first time set.
[0111] In step 204, a second time set is determined based on the relationship between the availability of ship equipment and the availability threshold corresponding to each time value in the first time set.
[0112] The time values in the second time set are optional time values for the preventive maintenance interval of ship equipment.
[0113] The availability threshold is a known fixed value. If the availability corresponding to a certain time value meets the requirements of the availability threshold, it means that the time value meets the requirements of the preventive maintenance interval of the ship's equipment, and the time value can be stored in the second time set. If the availability corresponding to a certain time value does not meet the requirements of the availability threshold, it means that the time value does not meet the requirements of the preventive maintenance interval of the ship's equipment, and the time value can be discarded.
[0114] In terms of time value Let's take an example to illustrate. In the time value... If the availability of the corresponding ship equipment is greater than or equal to the availability threshold, the time value will be... Stored in the second time set. (In the time value) If the availability of the corresponding ship equipment is less than the availability threshold, the time value will be... Store until discarded.
[0115] Figure 4 This is a schematic diagram of the second time set. Figure 4 The curve in the figure represents the availability of ship equipment corresponding to each time value in the first time set. It can be seen that, in The availability of ship equipment corresponding to the time values within the range is greater than or equal to the time value threshold. .
[0116] Based on the availability of ship equipment corresponding to each time value in the second time set, the optimal value for the preventive maintenance interval can also be determined. For example, the availability of ship equipment corresponding to each time value in the second time set can be arranged in order of magnitude, and the time value with the highest availability is the optimal value for the preventive maintenance interval.
[0117] When performing maintenance on ship equipment according to the preventive maintenance interval, ideally the ship's berthing cycle should fall within the second time set, so that the ship's equipment can be maintained during the ship's berthing cycle.
[0118] If the ship's berthing cycle is not within the second time set (i.e., the time values within the second time set are all ship sailing times), then the importance of the corresponding equipment needs to be considered. If a failure of a piece of ship equipment has little impact on the ship's normal operation, then the equipment can be repaired after the ship berths. However, if a failure of a piece of ship equipment is crucial to the ship's normal operation, then appropriate maintenance support personnel need to be deployed on board, and the optimal value for the preventive maintenance interval of the equipment needs to be calculated. The ship's maintenance support personnel should then conduct regular maintenance on the equipment according to the optimal preventive maintenance interval to ensure the reliability of the ship's navigation.
[0119] 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.
[0120] Figure 5 A schematic diagram of a device for determining the preventive maintenance interval of ship equipment provided in an exemplary embodiment of this disclosure is shown. See also Figure 5 The ship is equipped with a preventive maintenance interval determination device 500, which includes: an acquisition module 501, a discrete module 502, a calculation module 503, and a time determination module 504.
[0121] The acquisition module 501 is used to acquire a first range of values for the preventive maintenance interval of ship equipment;
[0122] The discrete module 502 is used to discretize the first value range to obtain a first time set, which includes multiple time values within the first value range.
[0123] The calculation module 503 is used to calculate the availability of ship equipment corresponding to each time value in the first time set;
[0124] The time determination module 504 determines a second time set based on the relationship between the availability of ship equipment and the availability threshold corresponding to each time value in the first time set. The time values in the second time set are optional time values for the preventive maintenance interval of ship equipment.
[0125] Optionally, the calculation module 503 is also used to construct the state network equations of the ship's equipment. The state network equations include multiple states of the ship's equipment, including a good state and a usable state; the time value is used during the preventive maintenance interval. Solve the state network equations under these conditions to obtain the time values. The probability of the corresponding ship equipment being in each state, and the time value. For the first time set A time value; based on the time value The probability and time value of the corresponding ship equipment being in good condition. The probability that the corresponding ship equipment is in a usable condition, and the time value for determination. The availability of the corresponding ship equipment.
[0126] Optionally, the calculation module 503 is also used to determine the time value using the following formula. The availability of corresponding ship equipment:
[0127]
[0128] in, Time value The availability of the corresponding ship equipment, Time value The probability that the corresponding ship equipment is in good condition. Time value The probability that the corresponding ship equipment is in a usable condition.
[0129] Optionally, the time determination module 504 is also used to determine the time value. If the availability of the corresponding ship equipment is greater than or equal to the availability threshold, the time value will be... Stored in the second time set.
[0130] It should be noted that the above embodiments of the ship equipment preventive maintenance interval determination device are only illustrated by the division of the above functional modules. In practical applications, the above 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 interval determination device and the ship equipment preventive maintenance interval determination method embodiments belong to the same concept, and their specific implementation process is detailed in the method embodiments, which will not be repeated here.
[0131] 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.
[0132] 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.
[0133] Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this disclosure. For example... Figure 6 As shown, the computer device 600 includes a processor 601 and a memory 602.
[0134] Processor 601 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 601 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 601 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 601 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 601 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.
[0135] The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 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 602 is used to store at least one instruction, which is executed by the processor 601 to implement the method for determining the preventive maintenance interval of marine equipment provided in this disclosure.
[0136] Those skilled in the art will understand that Figure 6 The structure shown does not constitute a limitation on the computer device 600, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.
[0137] This disclosure also provides a non-transitory computer-readable storage medium, wherein when the instructions in the storage medium are executed by a processor of a computer device, the computer device is able to execute the method for determining the preventive maintenance interval of ship equipment provided in this disclosure.
[0138] 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 preventive maintenance interval for ship equipment provided in this disclosure.
[0139] 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 preventive maintenance interval for ship equipment, characterized in that, The method includes: Obtain the first range of values for the preventive maintenance interval of ship equipment; Discretize the first value range to obtain a first time set, which includes multiple time values within the first value range; Calculate the availability of ship equipment corresponding to each time value in the first time set; Based on the relationship between the availability of ship equipment and the availability threshold corresponding to each time value in the first time set, a second time set is determined, wherein the time values in the second time set are optional time values for the preventive maintenance interval of ship equipment. The calculation of the availability of ship equipment corresponding to each time value in the first time set includes: A state network equation is constructed for the ship's equipment. This state network equation includes multiple states of the ship's equipment, including a good condition, an usable condition, a faulty condition, a first preventive maintenance condition, and a second preventive maintenance condition. The state transition process involved in the first preventive maintenance condition includes: starting from when the ship's equipment enters the good condition, and after a certain time... 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 from when the ship's equipment enters the good condition, 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, in which... The interval for preventive maintenance. The time required to transition from a ship's equipment to a second preventative maintenance condition; The preventive maintenance interval is a time value. Solve the state network equations under the given conditions to obtain the time values. The steady-state probability of the corresponding ship equipment in each state, the time value For the first time set Each time value; According to the time value The steady-state probability and time value of the corresponding ship equipment being in good condition The steady-state probability of the corresponding ship equipment being in an usable state is used to determine the time value. The availability of the corresponding ship equipment.
2. The method according to claim 1, characterized in that, According to the time value The probability that the corresponding ship equipment is in good condition and the time value. The probability that the corresponding ship equipment is in a usable state is used to determine the time value. The availability of the corresponding ship equipment includes: The time value is determined using the following formula. The availability of corresponding ship equipment: in, The time value The availability of the corresponding ship equipment, The time value The probability that the corresponding ship equipment is in good condition. The time value The probability that the corresponding ship equipment is in a usable condition.
3. The method according to claim 1, characterized in that, The step of determining the second time set based on the relationship between the availability of ship equipment corresponding to each time value in the first time set and the availability threshold includes: At the time value If the availability of the corresponding ship equipment is greater than or equal to the availability threshold, the time value will be... Stored in the second time set.
4. A device for determining the preventive maintenance interval of ship equipment, characterized in that, The device includes: The acquisition module is used to acquire the first range of values for the preventive maintenance interval of ship equipment; The discrete module is used to discretize the first value range to obtain a first time set, which includes multiple time values within the first value range. The calculation module is used to calculate the availability of ship equipment corresponding to each time value in the first time set; The time determination module determines a second time set based on the relationship between the availability of ship equipment and the availability threshold corresponding to each time value in the first time set. The time values in the second time set are optional time values for the preventive maintenance interval of ship equipment. The calculation module is also used to construct the state network equation of the ship equipment. The state network equation includes multiple states of the ship equipment, including a good state, a usable state, a faulty state, a first preventive maintenance state, and a second preventive maintenance state. The state transition process involved in the first preventive maintenance state includes: starting from when the ship equipment enters the good state, and after a certain time... 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 from when the ship's equipment enters the good condition, 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, in which... The interval for preventive maintenance. The time required to transition from a ship's equipment to a second preventative maintenance condition; The preventive maintenance interval is a time value. Solve the state network equations under the given conditions to obtain the time values. The steady-state probability of the corresponding ship equipment in each state, the time value For the first time set Each time value; According to the time value The steady-state probability and time value of the corresponding ship equipment being in good condition The steady-state probability of the corresponding ship equipment being in an usable state is used to determine the time value. The availability of the corresponding ship equipment.
5. The apparatus according to claim 4, characterized in that, The calculation module is also used to determine the time value using the following formula. The availability of corresponding ship equipment: in, The time value The availability of the corresponding ship equipment, The time value The probability that the corresponding ship equipment is in good condition. The time value The probability that the corresponding ship equipment is in a usable condition.
6. 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 3.
7. 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 according to any one of claims 1 to 3.
8. 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 3.
Citation Information
Patent Citations
A reliability-based preventive maintenance optimization method for metro vehicle multi-components
CN109299517A