A method, device, equipment and medium for monitoring key components of oil and pneumatic equipment

Abstract

The present invention discloses a method, device, equipment and medium for monitoring key components of oil and gas dynamic equipment, which relates to the field of computer technology, including: determining the target key components of oil and gas dynamic equipment, and constructing a key component reliability model based on the average failure rate of the target key components; generating a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and a key component reliability model; obtaining the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model calculation; and controlling the procurement process of the target key components according to the current cost monitoring result. The present invention obtains a target cost model by combining preventive maintenance with equipment reliability, determines the procurement process of the target key components, improves system management efficiency and reduces costs.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, device, equipment and medium for monitoring key components of oil and gas dynamic equipment. Background Art

[0002] In natural gas pipeline transportation, key equipment units of oil and gas dynamic equipment are subject to wear, degradation, and failure during operation or use, and their performance will degrade over time, resulting in the system's reliability failing to meet demand. Therefore, it is necessary to use relevant data science theories and advanced system management technologies to maintain and manage equipment units, and to formulate scientific and reasonable equipment maintenance and repair plans and spare parts plans to reduce management costs and improve equipment operation reliability, providing a solid theoretical foundation and important technical guarantee for the safe and stable transportation of natural gas.

[0003] At present, the commonly used equipment maintenance and repair schemes are generally divided into two types: one is fault maintenance, that is, post-maintenance, which is based on equipment failure. After the equipment is running until a failure occurs, maintenance is carried out to restore the normal function of the equipment. The other is preventive maintenance, which refers to time-based maintenance. According to experience, downtime inspections are carried out at prescribed time intervals to prevent damage. Although preventive maintenance can reduce unexpected equipment downtime, the full life cycle management of natural gas pipeline transmission equipment is still in its infancy. The fault ledger data of most equipment is missing, and the determination of equipment maintenance thresholds is based on field experience. There is a lack of reasonable scientific basis, which can easily lead to increased costs due to excessive maintenance. Therefore, in most cases, regular preventive maintenance management of equipment lacks economy and safety, and it is difficult to effectively carry out preventive maintenance management. In addition, most of the existing equipment maintenance research assumes that the number of equipment parts is sufficient, and the equipment can be repaired immediately after a failure, and the spare parts will not fail during the process of storage and outbound. However, in actual use, the efficiency of equipment maintenance management depends on the maintenance content, maintenance method and maintenance time. At the same time, insufficient or redundant spare parts will also affect the efficiency of maintenance and increase management costs. There are certain holding costs and risk costs for holding spare parts in inventory. Holding costs refer to the fees and costs that need to be paid to maintain a certain amount of inventory, and risk costs refer to the fees and costs incurred due to loss or damage during the holding process of spare parts inventory. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for monitoring key components of oil and gas equipment, which can improve the management efficiency of the system and reduce costs. The specific scheme is as follows:

[0005] In a first aspect, the present invention discloses a method for monitoring key components of oil and gas powered equipment, comprising:

[0006] Determine target key components of oil and gas dynamic equipment, and build a key component reliability model based on the average failure rate of the target key components;

[0007] Generate a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model;

[0008] Acquire the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model calculation;

[0009] The procurement process of the target key components is controlled according to the current cost monitoring results.

[0010] On the other hand, the constructing of a key component reliability model based on the average failure rate of the target key component includes:

[0011] Calculate the ratio of the total number of failures to the total number of life units under a preset failure condition and a preset time period to obtain the average failure rate; wherein the average failure rate and the average failure interval are reciprocals of each other;

[0012] When the life variable of the target key component obeys an exponential distribution, the key component reliability model is constructed based on the average failure rate and the current moment, so as to obtain the reliability of the target key component at the current moment output by the key component reliability model.

[0013] On the other hand, before generating the target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function and the key component reliability model, the method further includes:

[0014] Calculate the unit time failure repair downtime loss cost based on the unit time failure downtime loss cost and the failure repair time;

[0015] The component failure repair cost model is constructed based on the failure repair downtime loss cost, the failure repair direct cost, the failure repair total manpower cost and the failure repair total material cost.

[0016] On the other hand, before generating the target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function and the key component reliability model, the method further includes:

[0017] Calculating the preventive maintenance downtime loss cost based on the unit time failure downtime loss cost and the preventive maintenance time;

[0018] The component preventive maintenance cost model is constructed based on the preventive maintenance downtime loss cost, the preventive maintenance direct cost, the total preventive maintenance manpower cost and the total preventive maintenance material cost.

[0019] On the other hand, the target cost model is generated based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function, and the key component reliability model, including:

[0020] Obtaining a reliability function and an unreliability function; wherein the sum of the reliability function and the unreliability function is 1;

[0021] Obtaining the total fault repair cost output by the component fault repair cost model, and obtaining the total preventive maintenance cost output by the component preventive maintenance cost model;

[0022] Calculating a first product of the total fault repair cost and the unreliability function, and calculating a second product of the total preventive maintenance cost and the reliability function;

[0023] The target cost model is generated based on the first product and the second product.

[0024] On the other hand, the target time information of the current oil and gas dynamic equipment is obtained so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model calculation, including:

[0025] Obtain target time information of the current oil and gas powered equipment; the target time information includes spare parts ordering time, fault occurrence time, spare parts arrival time and spare parts replacement time;

[0026] If the spare parts ordering time is equal to the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then the difference between the spare parts replacement time and the spare parts ordering time is calculated to obtain the first component fault downtime;

[0027] Calculate first cost information based on a spare parts ordering decision model, a spare parts unit price, the first component failure downtime, the unit time failure downtime loss cost, and the total failure repair material cost;

[0028] If the spare parts ordering time is less than the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then integration is performed based on the reliability function, the spare parts ordering time and the spare parts replacement time to obtain the working time before the component failure;

[0029] Calculate the difference between the working time before the component failure and the spare part replacement time to obtain the second component failure downtime, and calculate the second cost information based on the spare parts ordering decision model, the spare parts unit price, the second component failure downtime, the unit time failure downtime loss cost and the total fault repair material cost;

[0030] If the spare parts ordering time is less than the spare parts arrival time, the spare parts arrival time is less than the spare parts replacement time, and the fault occurrence time is not obtained, the spare parts storage holding time is calculated based on the reliability function, the spare parts replacement time and the spare parts waiting time; the spare parts waiting time is the sum of the spare parts ordering time and the spare parts delivery time; the spare parts delivery time is the difference between the spare parts arrival time and the spare parts ordering time;

[0031] Calculating the damage probability of the replaced spare parts based on the storage holding time of the spare parts;

[0032] If the replaced spare part is damaged, the current cost information is calculated based on the spare part unit price, the new spare part delivery time, the unit time failure downtime loss cost and the total material cost of the failure repair;

[0033] Calculate the risk cost of warehousing the spare parts based on the current cost information and the damage probability of the replaced spare parts;

[0034] Calculating third cost information based on the risk cost, the unit time inventory holding cost, and the current preventive maintenance cost output by the target cost model;

[0035] The first cost information, the second cost information, and the third cost information are determined as current cost monitoring results corresponding to the oil and gas power equipment.

[0036] On the other hand, controlling the procurement process of the target key components according to the current cost monitoring result includes:

[0037] Calculate the total expected cost of spare parts ordering at each time based on the current cost monitoring result and the event occurrence probability value corresponding to each cost information;

[0038] Calculate the average working time of the component based on the event occurrence probability value corresponding to each cost information and the working time before the component failure corresponding to each cost information;

[0039] The procurement process of the target key component is controlled based on the total expected cost and the average working time of the component.

[0040] In a second aspect, the present invention discloses a key component monitoring device for oil and gas powered equipment, comprising:

[0041] A key component reliability model module is used to determine the target key components of the oil and gas dynamic equipment and to build a key component reliability model based on the average failure rate of the target key components;

[0042] A target cost model building module, used to generate a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model;

[0043] A current cost monitoring module, used to obtain target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model calculation;

[0044] A component procurement control module is used to control the procurement process of the target key component according to the current cost monitoring result.

[0045] In a third aspect, the present invention discloses an electronic device, comprising:

[0046] Memory, used to store computer programs;

[0047] The processor is used to execute the computer program to implement the steps of the method for monitoring key components of oil and gas equipment as disclosed above.

[0048] In a fourth aspect, the present invention discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the method for monitoring key components of oil and gas dynamic equipment as disclosed above is implemented.

[0049] It can be seen that the present invention provides a method for monitoring key components of oil and gas dynamic equipment, including: determining the target key components of the oil and gas dynamic equipment, and constructing a key component reliability model based on the average failure rate of the target key components; generating a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model; obtaining the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model; and controlling the procurement process of the target key components according to the current cost monitoring result. It can be seen that the present invention obtains a target cost model by combining preventive maintenance with equipment reliability, obtains the output current cost monitoring result by using the target cost model, and determines the procurement process of the target key components by simultaneously considering the maintenance decision and the risk cost of spare parts warehousing, thereby improving system management efficiency and reducing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0051] Figure 1 This is a flow chart of a method for monitoring key components of oil and gas powered equipment disclosed in the present invention;

[0052] Figure 2 A block diagram of a reliability-based preventive maintenance target cost model disclosed in the present invention;

[0053] Figure 3 This is a flow chart of a specific method for monitoring key components of oil and gas powered equipment disclosed in the present invention;

[0054] Figure 4 A schematic diagram of cost changes of the target cost model disclosed in the present invention;

[0055] Figure 5 A schematic diagram of a scenario of ordering and replacing spare parts disclosed in the present invention;

[0056] Figure 6 A schematic diagram of purchasing spare parts when the components disclosed in the present invention fail;

[0057] Figure 7 A schematic diagram of the failure of a component disclosed in the present invention before the arrival of a spare part;

[0058] Figure 8A schematic diagram of the failure of the component disclosed in the present invention after the spare parts arrive;

[0059] Fig. 9 A schematic diagram of a situation in which a replaced spare part disclosed in the present invention has been damaged;

[0060] Fig.10 A schematic diagram of cost changes of the target cost model disclosed in the present invention;

[0061] Fig.11 A schematic diagram of the expected cost per unit time under different replacement times and ordering times disclosed in the present invention;

[0062] Fig.12 It is a schematic diagram of the projection result of the spare parts ordering decision optimization disclosed in the present invention;

[0063] Fig.13 A schematic diagram of the structure of the key parts monitoring device for oil and gas powered equipment provided by the present invention;

[0064] Fig.14 A structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] At present, the commonly used equipment maintenance and repair schemes are generally divided into two types: one is fault maintenance, that is, post-maintenance, which is based on equipment failure. After the equipment is running until a failure occurs, maintenance is carried out to restore the normal function of the equipment. The other is preventive maintenance, which refers to maintenance based on time. According to experience, shutdown inspections are carried out at prescribed time intervals to prevent damage. Although preventive maintenance can reduce the unexpected downtime of equipment, the full life cycle management of natural gas pipeline transmission equipment is still in its infancy. The fault ledger data of most equipment is missing. The determination of the equipment maintenance threshold is based on field experience and lacks a reasonable scientific basis. It is easy to cause cost increases due to excessive maintenance. Regular preventive maintenance management of equipment lacks economy and safety, and it is difficult to effectively carry out preventive maintenance management. In actual use, the maintenance management efficiency of equipment depends on the maintenance content, maintenance method and maintenance time. At the same time, insufficient or redundant spare parts will also affect the efficiency of maintenance and increase management costs. There are certain holding costs and risk costs for the storage of spare parts. To this end, the present invention provides a key component monitoring method for oil and gas dynamic equipment, which can determine the procurement process of target key components, improve system management efficiency and reduce costs.

[0067] The embodiment of the present invention discloses a method for monitoring key components of oil and gas powered equipment, see Figure 1 As shown, the method includes:

[0068] Step S11: determining target key components of oil and gas power equipment, and constructing a key component reliability model based on the average failure rate of the target key components.

[0069] In this embodiment, the target key components of the oil and gas dynamic equipment are determined, and the key component reliability model is constructed based on the average failure rate of the target key components. Specifically, the ratio of the total number of failures to the total number of life units under the preset failure conditions and within the preset time period is calculated to obtain the average failure rate; wherein the average failure rate and the average failure interval time are reciprocal to each other; when the life variable of the target key component obeys an exponential distribution, the key component reliability model is constructed based on the average failure rate and the current moment, so as to obtain the reliability of the target key component at the current moment output by the key component reliability model.

[0070] Optimizing the inspection cycle and spare parts ordering time of the target key components of oil and gas equipment can improve the reliability of oil and gas equipment. Assuming that the target key components are (0, 1) type spare parts, a zero inventory strategy is adopted, that is, only one spare part is ordered or put into the warehouse at the same time, and any maintenance activity only consumes one spare part. Assuming that the component life variable X follows an exponential distribution, a key component reliability model is constructed as follows:

[0071] R(t)=e -λt ;

[0072] Where R(t) is the reliability of the target key component at time t; λ is the average failure rate.

[0073] The average failure rate is a basic parameter of the reliability of the target key components. It refers to the ratio of the total number of failures to the total number of life units under specified conditions and within a specified time. When the product life follows an exponential distribution, the average failure rate (λ) and the mean time between failures (MTBF, Mean Time Between Failure) are reciprocal:

[0074]

[0075] Where λ is the average failure rate, 1 / h; MTBF is the mean time between failures, h.

[0076] Step S12: generating a target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function, and the key component reliability model.

[0077] In this embodiment, after determining the target key components of the oil and gas dynamic equipment and constructing the key component reliability model based on the average failure rate of the target key components, the target cost model is generated based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function, and the key component reliability model. Specifically, the reliability function and the unreliability function are obtained; wherein the sum of the reliability function and the unreliability function is 1; the total failure repair cost output by the component failure repair cost model is obtained, and the total preventive maintenance cost output by the component preventive maintenance cost model is obtained; the first product calculated by the total failure repair cost and the unreliability function is calculated, and the second product calculated by the total preventive maintenance cost and the reliability function is calculated; the target cost model is generated based on the first product and the second product.

[0078] It is understandable that if Figure 2 As shown, based on the pre-established component failure repair cost model, component preventive maintenance cost model and the key component reliability model, a reliability-based preventive maintenance cost model is established to obtain a target cost model.

[0079] Step S13: obtaining the target time information of the current oil and gas power equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas power equipment based on the target time information and the target cost model calculation.

[0080] In this embodiment, after generating the target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function, and the key component reliability model, the target time information of the current oil and gas dynamic equipment is obtained, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model. Specifically, the target time information of the current oil and gas dynamic equipment is obtained; the target time information includes the spare parts ordering time, the failure occurrence time, the spare parts arrival time, and the spare parts replacement time; if the spare parts ordering time is equal to the failure occurrence time, the failure occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then the difference between the spare parts replacement time and the spare parts ordering time is calculated to obtain the first component failure downtime; based on the spare parts ordering decision model, the spare parts unit price, the first component failure downtime, the unit time failure downtime loss cost, and the failure The total maintenance material cost calculates the first cost information; if the spare parts ordering time is less than the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then based on the reliability function, the spare parts ordering time and the spare parts replacement time, an integration is performed to obtain the working time before the component failure; the difference between the working time before the component failure and the spare parts replacement time is calculated to obtain the second component failure downtime, and based on the spare parts ordering decision model, the spare parts unit price, the second component failure downtime, the unit time failure The second cost information is calculated based on the downtime loss cost and the total material cost of the fault repair; if the spare parts ordering time is less than the spare parts arrival time, the spare parts arrival time is less than the spare parts replacement time, and the fault occurrence time is not obtained, then the spare parts storage holding time is calculated based on the reliability function, the spare parts replacement time and the spare parts waiting time; the spare parts waiting time is the sum of the spare parts ordering time and the spare parts delivery time; the spare parts delivery time is the difference between the spare parts arrival time and the spare parts ordering time; the damage probability of the replaced spare parts is calculated based on the spare parts storage holding time; if If the replaced spare part is damaged, the current cost information is calculated based on the spare part unit price, the new spare part delivery time, the unit time failure downtime loss cost and the total material cost of the failure repair; the risk cost of the spare part warehousing is calculated based on the current cost information and the damage probability of the replaced spare part; the third cost information is calculated based on the risk cost, the unit time inventory holding cost and the current preventive maintenance cost output by the target cost model; the first cost information, the second cost information and the third cost information are determined as the current cost monitoring results corresponding to the oil and gas dynamic equipment.

[0081] Step S14: Controlling the procurement process of the target key components according to the current cost monitoring result.

[0082] In this embodiment, the target time information of the current oil and gas dynamic equipment is obtained, so that after the current cost monitoring result corresponding to the oil and gas dynamic equipment is obtained based on the target time information and the target cost model, the procurement process of the target key components is controlled according to the current cost monitoring result. Specifically, the total expected cost of spare parts ordering at each time is calculated based on the current cost monitoring result and the event occurrence probability value corresponding to each cost information; the average working time of the component is calculated based on the event occurrence probability value corresponding to each cost information and the working time before the component failure corresponding to each cost information; and the procurement process of the target key components is controlled based on the total expected cost and the average working time of the component.

[0083] The present invention includes: establishing a reliability mathematical model of key component units of oil and gas dynamic equipment, a preventive maintenance cost model based on reliability, and a decision optimization model for ordering key performance spare parts of oil and gas dynamic equipment. First, a unit reliability mathematical model is established based on the average failure rate and average failure interval of the equipment unit; second, based on the unit reliability mathematical model, a preventive maintenance cost model of the key component unit of the dynamic equipment is established; finally, based on the cost function generated by ordering spare parts at each time and the working time of the component, an optimization model for ordering key performance spare parts of the dynamic equipment is established, and a genetic algorithm is used to seek the optimal ordering time of key performance spare parts and the optimal replacement time of the component. The present invention takes into account the situation that spare parts are damaged in the inventory, takes the replacement time of the component and the purchase time of the spare parts as decision variables, and optimizes the unit time expected cost generated by ordering spare parts at each time. The present invention takes into account the risk cost of spare parts entering the warehouse, combines fault maintenance and preventive maintenance methods, takes into account the probability of failure of spare parts in the inventory, formulates a scientific and reasonable spare parts plan, seeks the optimal ordering time and optimal replacement time of spare parts, improves system management efficiency and reduces costs.

[0084] It can be seen that the present invention provides a method for monitoring key components of oil and gas dynamic equipment, including: determining the target key components of the oil and gas dynamic equipment, and constructing a key component reliability model based on the average failure rate of the target key components; generating a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model; obtaining the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model; and controlling the procurement process of the target key components according to the current cost monitoring result. It can be seen that the present invention obtains a target cost model by combining preventive maintenance with equipment reliability, obtains the output current cost monitoring result by using the target cost model, and determines the procurement process of the target key components by simultaneously considering the maintenance decision and the risk cost of spare parts warehousing, thereby improving system management efficiency and reducing costs.

[0085] See also Figure 3 As shown, an embodiment of the present invention discloses a method for monitoring key components of oil and gas dynamic equipment. Compared with the previous embodiment, this embodiment further illustrates and optimizes the technical solution.

[0086] Step S21: determining target key components of oil and gas power equipment, and constructing a key component reliability model based on the average failure rate of the target key components.

[0087] Step S22: constructing the component failure repair cost model based on the failure repair downtime loss cost, the failure repair direct cost, the failure repair total manpower cost and the failure repair total material cost.

[0088] In this embodiment, the unit time failure repair downtime loss cost is calculated based on the unit time failure downtime loss cost and the failure repair time; the component failure repair cost model is constructed based on the failure repair downtime loss cost, the failure repair direct cost, the total failure repair manpower cost and the total failure repair material cost.

[0089] It is understandable that fault repair is post-facto repair, which is based on equipment failure and is repaired after the equipment fails in order to restore the normal function of the equipment. The fault repair cost includes the direct cost of fault repair, the manpower and material costs incurred during fault repair, and the downtime loss cost caused by fault repair. The cost model for fault repair of components is:

[0090] C F =C FS +C FP +C FM +C FL ;

[0091] In the formula, C F The total cost of repairing a component failure, in ten thousand yuan; C FS Direct cost of repairing components, in ten thousand yuan; C FP Total manpower cost for component failure repair, in ten thousand yuan; C FM The total material cost for component failure repair, in ten thousand yuan; C FL The cost of downtime loss caused by repairing component failures, in ten thousand yuan.

[0092] Among them, the downtime loss cost caused by component failure repair can be calculated by the unit time failure downtime cost and the time required for failure repair, that is:

[0093] C FL =C L ·t F ;

[0094] In the formula, C L is the unit time failure downtime loss cost, 10,000 yuan / h; t F It is the time taken to repair the component failure, in hours.

[0095] Step S23: constructing the component preventive maintenance cost model based on the preventive maintenance downtime loss cost, the preventive maintenance direct cost, the total preventive maintenance manpower cost and the total preventive maintenance material cost.

[0096] In this embodiment, the preventive maintenance downtime loss cost is calculated based on the unit time failure downtime loss cost and the preventive maintenance time; the component preventive maintenance cost model is constructed based on the preventive maintenance downtime loss cost, the preventive maintenance direct cost, the total preventive maintenance manpower cost and the total preventive maintenance material cost.

[0097] It is understandable that preventive maintenance refers to maintenance based on time. According to experience, the machine is shut down for inspection at prescribed time intervals to prevent damage. This maintenance method is also the most commonly used maintenance method at present. The cost of preventive maintenance includes the direct cost of preventive maintenance, the manpower and material costs incurred during preventive maintenance, and the downtime loss cost caused by preventive maintenance. The cost model for preventive maintenance of components is as follows:

[0098] C P =C PS +C PP +C PM +C PL ;

[0099] In the formula, C PThe total cost of preventive maintenance for components, in ten thousand yuan; C PS Direct cost of preventive maintenance of components, in ten thousand yuan; C PP The total manpower cost for preventive maintenance of components, in ten thousand yuan; C PM The total material cost for preventive maintenance of components, in ten thousand yuan; C PL The cost of downtime loss caused by preventive maintenance of components, in ten thousand yuan.

[0100] Among them, the downtime loss cost caused by preventive maintenance of components can be calculated by the unit time failure downtime cost and the time required for preventive maintenance. The specific formula is as follows:

[0101] C PL =C L ·t P ;

[0102] In the formula, C L is the unit time failure downtime loss cost, 10,000 yuan / h; t P It is the time taken to repair the component failure, in hours.

[0103] Step S24: generating a target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function, and the key component reliability model.

[0104] In this embodiment, fault repair is to perform repairs after the equipment has failed in operation to restore the normal function of the equipment. The downtime for repair is longer and the cost of fault repair is higher. Preventive maintenance is to perform downtime inspections at prescribed time intervals based on experience to prevent damage. Since it is repaired when no fault occurs, the time for preventive maintenance is shorter than that for fault repair, and the cost is also lower. Therefore, there is the following relationship between fault repair cost and preventive maintenance cost:

[0105] C P <C F ;

[0106] C PP <C FP ;

[0107] C PM <C FM ;

[0108] C PL <C FL ;

[0109] In most cases, regular preventive maintenance management of equipment lacks economy and safety, and it is difficult to effectively carry out preventive maintenance management. Therefore, equipment preventive maintenance is combined with equipment reliability to carry out reliability-based preventive maintenance to reduce the occurrence of insufficient or excessive equipment maintenance events. The present invention generates a target cost model based on a pre-established component failure maintenance cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model, that is, the target cost model includes preventive maintenance costs and potential risk costs, and takes unreliability as a potential risk of component failure, and establishes a reliability-based preventive maintenance cost model (i.e., a target cost model), as follows:

[0110] C RP (t) = C P ·R(t)+C F ·F(t);

[0111] F(t)=1-R(t);

[0112] Where R(t) is the reliability function of the component; F(t) is the unreliability function of the component; C RP (t) is the total cost of reliability-based preventive maintenance of components, in ten thousand yuan; C P The total cost of preventive maintenance for components, in ten thousand yuan; C F The total cost of repairing a component failure, in ten thousand yuan.

[0113] like Figure 4 As shown in the figure, according to the two formulas corresponding to the above target cost model, when the component reliability is 1, that is, R(t) = 1, the reliability-based preventive maintenance cost (that is, the current cost monitoring result output by the target cost model, C RP (t)) is the preventive maintenance cost C P ; As the running time increases, the reliability gradually decreases, and the proportion of potential risk cost increases; when the reliability drops to 0, that is, the component fails, the current cost monitoring result at this time is the failure repair cost C F .

[0114] Step S25: obtaining the target time information of the current oil and gas power equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas power equipment based on the target time information and the target cost model calculation.

[0115] In this embodiment, when a component fails, a spare part is needed to replace the failed component to restore it to a normal state. It is assumed that the component adopts a zero inventory strategy, that is, there is only one spare part in the inventory for maintenance activities.

[0116] Assume that the oil and gas equipment is in normal working condition at time t=0, and a spare part is ordered after time t0. After the spare part delivery time L, a new spare part is received and replaced, so that the equipment status returns to normal. Figure 5 The three typical scenarios of spare parts replacement and ordering are shown in the figure. The three scenarios are as follows: (1) Spare parts are purchased when the target key component fails, which means that spare parts are ordered when the target key component of the equipment fails, and the spare parts are replaced after the spare parts arrive. In this case, spare parts shortage costs and fault repair costs are incurred. (2) The target key component fails after the spare parts are purchased but before the spare parts arrive. This means that spare parts are ordered in advance before the target key component fails. While waiting for the spare parts to arrive, the target key component of the equipment fails. The spare parts are replaced after the spare parts arrive. In this case, spare parts shortage costs and fault repair costs are incurred. (3) The target key component fails after the spare parts arrive. This means that spare parts are ordered in advance and have arrived. The target key component of the equipment is replaced after the spare parts arrive. In this case, inventory holding costs and reliability-based preventive maintenance costs are incurred.

[0117] In a specific embodiment, Figure 6 As shown, assuming that the component is w Failures occur at any time. In order to shorten the downtime of equipment failure as much as possible, spare parts need to be ordered immediately, that is, the spare parts ordering time t0 = t w The purchased spare parts arrive after time L, and the fault needs to be repaired immediately after the spare parts arrive. According to the component reliability function, the probability of this situation occurring is as follows:

[0118] P1=F(t w ) = F(t0);

[0119] In the formula, t w is the time when the component failure occurs; t0 is the time when the spare parts are ordered; P1 represents t w =The probability of occurrence at t0.

[0120] The working time t1 of the target key component before failure is:

[0121] t1=t w =t0;

[0122] Spare parts are ordered only when a target key component fails, and the fault is repaired immediately after the spare parts arrive. Therefore, the downtime of the component after the failure is the spare parts delivery time:

[0123] t1'=t r -t0=L;

[0124] Where L is the time from the start of spare parts ordering to the arrival of spare parts, that is, the spare parts delivery time, h; t ris the spare part replacement time, h; t1' is the component failure downtime, that is, the first component failure downtime.

[0125] Since spare parts are used for fault repair immediately after arrival, the spare parts inventory holding time in this case is 0. The cost required for this spare parts ordering decision model includes the cost of purchasing spare parts, the downtime loss due to component failure, and the fault repair cost, which are as follows:

[0126] C1=C M +C L ·t1'+C FM ;

[0127] Where C1 is the first cost information required by the spare parts ordering decision model, and the unit is 10,000 yuan; C M is the unit price of spare parts, in ten thousand yuan; C L is the unit time failure downtime loss cost, unit is 10,000 yuan / h; C FM The total cost of physical labor to repair a component failure.

[0128] In another specific embodiment, Figure 7 As shown in Figure 1, a spare part is purchased at time t0, when the part has not yet failed. w A failure occurs at time t0, and the purchased spare parts have not arrived yet, resulting in downtime loss costs, so t0<t w <t r After the purchased spare parts arrive after time L, in order to shorten the equipment downtime, the fault repair needs to be carried out immediately. According to the component reliability function, the probability of this situation is calculated as follows:

[0129] P2=F(t r )-F(t0);

[0130] Where P2 represents the probability of failure of the target key component after the spare parts are purchased and before the spare parts arrive.

[0131] The component working time is determined by integrating the reliability function, and the target key component can be obtained at t w The working time before the failure occurs is:

[0132]

[0133] When the spare parts are purchased, the target key component has not yet failed, and the target key component fails before the spare parts arrive. Therefore, the downtime of the target key component after the failure is the time period from the time the target key component fails to the time the spare parts are replaced, which is as follows:

[0134] t2'=t r -t2;

[0135] Wherein, t2 is the working time before the component fails, in h; t2' is the downtime after the component fails, i.e., the second component failure downtime, in h.

[0136] At this time, the second cost information C2 is calculated based on the spare parts unit price, the downtime of the second component failure, the component failure downtime loss and the total material cost of the failure repair, and the spare parts ordering decision model. The unit is 10,000 yuan, as follows:

[0137] C2=C M +C L ·t2'+C FM .

[0138] In another specific embodiment, Figure 8 As shown in the figure, spare parts are purchased at time t0, and arrive after a delivery time L. After the spare parts arrive, they can meet the maintenance needs of the parts at any time, and inventory holding costs will be incurred. After the spare parts arrive, the parts fail. According to the reliability function of the parts, the probability of this happening is calculated as:

[0139] P3 = 1-P1-P2;

[0140] Where P3 represents the probability of failure of the target key component after the spare parts arrive.

[0141] The time before the spare part is replaced is the component working time, as follows:

[0142] t3=t r ;

[0143] If a component fails after the spare part arrives, the ordered spare part can be put into use immediately if the component fails, so there is no downtime loss cost due to the lack of spare parts. After the spare part arrives and before the spare part is replaced, there will be inventory holding costs. The time for the spare part to be put into storage is:

[0144]

[0145] In the formula, t h It is the holding time of spare parts in warehouse, in hours.

[0146] Furthermore, there will be certain holding costs and risk costs for holding spare parts in the warehouse. Holding costs refer to the fees and costs that an enterprise needs to pay to maintain a certain amount of inventory, and risk costs refer to the fees and costs incurred due to loss or damage in the process of holding spare parts inventory. For the target key components of oil and gas dynamic equipment, it is not enough to judge whether the spare parts have failed only by appearance, because their failure may not necessarily show obvious changes in appearance. Performance and effectiveness are affected by many factors, including temperature, pressure, speed, lubrication conditions and other factors. Only under actual operating conditions can it be truly evaluated whether they have failed. Therefore, after replacing the components of the present invention, its effect can be observed and evaluated during the actual operation process. It is assumed here that after reliability-based preventive maintenance, if it is found that the replaced spare parts are damaged, then the spare parts are directly ordered and replaced immediately after the spare parts arrive. Fig. 9 As shown; if the replaced spare part is in normal condition, no processing is performed. The situation where the spare part is in a degraded state is not considered here.

[0147] After reliability-based preventive maintenance, the probability of finding that the replaced spare part is damaged is as follows:

[0148] P H =F(t h );

[0149] If you order a replacement part directly after it is damaged and replace it immediately after the replacement part arrives, the downtime due to the lack of the spare part, that is, the spare part delivery time, is:

[0150] C risk '=C M +C L ·L+C FM ;

[0151] The risk cost of holding spare parts in storage is:

[0152] C risk =C risk '·P H ;

[0153] At this time, the third cost information required by the spare parts ordering decision model includes the cost of purchasing spare parts (based on the spare parts unit price), the unit time inventory holding cost (including certain holding costs and risk costs) and the reliability-based preventive maintenance cost (i.e., the current preventive maintenance cost), as follows:

[0154] C3=C M +C H ·t H +C risk +C RP (t r);

[0155] Where, C3 is the third cost information required by the spare parts ordering decision model, and the unit is 10,000 yuan; C H is the inventory holding cost per unit time, in ten thousand yuan / h; C RP (t r ) is the cost required for reliability-based preventive maintenance of components.

[0156] Step S26: Controlling the procurement process of the target key components according to the current cost monitoring result.

[0157] In this embodiment, since there are multiple ordering situations for parts, and each situation has a corresponding probability of occurrence, the total expected cost and average working time generated by ordering spare parts at each time of the parts can be obtained according to the formula in the above formula step S25 as follows:

[0158]

[0159] Where C is the total expected cost of ordering spare parts for the target key components at each time, in units of ten thousand yuan; t is the average working time of the component, in units of h.

[0160] The objective function of the spare parts ordering decision optimization model of the present invention is to minimize the expected cost per unit time of ordering spare parts at each moment. The optimization objectives and constraints are as follows:

[0161]

[0162] In the formula, R(t r ) is the component at t r Reliability of time; R S is the target reliability of the component; The expected cost per unit time to order spare parts.

[0163] In the decision optimization stage, that is, the control stage of the procurement process, the reliability of the components is guaranteed to be higher than the target reliability of the components. Python programming is used to solve the optimization problem using genetic algorithms to obtain the optimal spare parts ordering time and the optimal spare parts replacement time.

[0164] For example, the average failure interval of a component is 9196h through data collection, and relevant data of failure repair is obtained, as shown in Table 1 below:

[0165] Table 1

[0166]

[0167] The relevant data for obtaining preventive maintenance is shown in Table 2:

[0168] Table 2

[0169]

[0170] Other related parameters for obtaining spare parts are as follows in Table 3:

[0171] Table 3

[0172]

[0173] The reliability function and unreliability function of the component can be obtained from the mean failure interval of the component of 9196h:

[0174] R(t)=e -0.0001t ;

[0175] F(t)=1-e -0.0001t ;

[0176] According to the above data and formula, the expected cost of reliability-based preventive maintenance of target key components can be calculated as:

[0177] C RP (t) = 43.95·R(t) + 66·F(t);

[0178] like Fig.10 The preventive maintenance cost of the target key components shown is based on reliability. At the initial moment of component operation, the reliability is 1 and the operating status is healthy. The preventive maintenance cost based on reliability is the preventive maintenance cost. As the operating time increases, the reliability gradually decreases and the proportion of potential risk costs gradually increases. When the reliability drops to 0, the component fails and the cost of maintenance at this time is the failure repair cost.

[0179] like Fig.11 The optimization results of spare parts ordering decision shown in the figure are as follows: the horizontal axis is the optimal replacement time, and the vertical axis is the spare parts ordering time, showing the change of expected cost per unit time under different replacement time and ordering time. Fig.12 The optimization projection results of spare parts ordering decision are shown. The horizontal axis is the spare parts replacement time, and the vertical axis is the spare parts ordering time.

[0180] The present invention takes into account the situation where spare parts are damaged in inventory, takes the replacement time of parts and the spare parts purchase time as decision variables, and optimizes the expected cost per unit time of ordering spare parts at each time. The traditional method is based on experience optimization strategy, for example, based on the actual production of the enterprise and expert experience, a fixed spare parts replacement cycle is adopted, such as the default replacement time of spare parts is 90 days, and spare parts are ordered 7 days in advance before replacement. For example, the optimal replacement time and optimal ordering time of two maintenance strategies are shown in Table 4:

[0181] Table 4

[0182]

[0183] The optimal ordering time under the spare parts ordering decision optimization model is 1941h, the optimal spare parts replacement time is 2041h, and the expected cost per unit time is 0.2020 million yuan. The traditional expected cost per unit time based on the experience optimization strategy is 0.3251; the target cost model of the present invention achieves the minimum average cost rate. In addition, the optimal spare parts ordering time is about 100h earlier than the optimal spare parts replacement time because spare parts delivery requires a certain amount of time. On the one hand, early arrival of spare parts may incur spare parts inventory holding costs. On the other hand, delayed arrival of spare parts will cause additional downtime, resulting in an increased risk of natural gas shortages. Ordering spare parts 100h in advance comprehensively balances the spare parts inventory holding costs and natural gas shortage loss costs.

[0184] For the specific content of the above step S21, reference may be made to the corresponding content disclosed in the above embodiments, which will not be repeated here.

[0185] It can be seen that the embodiment of the present application determines the target key components of the oil and gas dynamic equipment, and constructs a key component reliability model based on the average failure rate of the target key components; constructs the component failure repair cost model based on the failure repair downtime loss cost, failure repair direct cost, total failure repair manpower cost and total failure repair material cost; constructs the component preventive maintenance cost model based on the preventive maintenance downtime loss cost, preventive maintenance direct cost, total preventive maintenance manpower cost and total preventive maintenance material cost; generates a target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function, and the key component reliability model; obtains the target time information of the current oil and gas dynamic equipment, so as to calculate based on the target time information and the target cost model to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment; controls the procurement process of the target key components according to the current cost monitoring result, determines the procurement process of the target key components, improves system management efficiency and reduces costs.

[0186] See also Fig.13 As shown, the embodiment of the present invention also discloses a key component monitoring device of oil and gas equipment, including:

[0187] The key component reliability model module 11 is used to determine the target key components of the oil and gas dynamic equipment and to construct a key component reliability model based on the average failure rate of the target key components;

[0188] A target cost model building module 12 is used to generate a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model;

[0189] The current cost monitoring module 13 is used to obtain the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model calculation;

[0190] The component procurement control module 14 is used to control the procurement process of the target key component according to the current cost monitoring result.

[0191] It can be seen that the present invention includes: determining the target key components of the oil and gas dynamic equipment, and constructing a key component reliability model based on the average failure rate of the target key components; generating a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model; obtaining the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model; and controlling the procurement process of the target key components according to the current cost monitoring result. It can be seen that the present invention obtains a target cost model by combining preventive maintenance with equipment reliability, obtains the output current cost monitoring result by using the target cost model, and determines the procurement process of the target key components by simultaneously considering the maintenance decision and the risk cost of spare parts warehousing, thereby improving system management efficiency and reducing costs.

[0192] In some specific embodiments, the key component reliability model module 11 specifically includes:

[0193] An average failure rate calculation unit, used to calculate the ratio of the total number of failures to the total number of life units under a preset failure condition and within a preset time period, so as to obtain the average failure rate; wherein the average failure rate and the average failure interval are reciprocals of each other;

[0194] A reliability acquisition unit is used to construct the key component reliability model based on the average failure rate and the current moment when the life variable of the target key component obeys an exponential distribution, so as to obtain the reliability of the target key component at the current moment output by the key component reliability model.

[0195] In some specific embodiments, before the target cost model building module 12, it specifically also includes:

[0196] A fault maintenance downtime loss cost calculation unit, used to calculate the unit time fault maintenance downtime loss cost based on the unit time fault maintenance downtime loss cost and the fault maintenance time;

[0197] A component failure repair cost model building unit, used to build the component failure repair cost model based on the failure repair downtime loss cost, the failure repair direct cost, the failure repair total manpower cost and the failure repair total material cost;

[0198] A preventive maintenance downtime loss cost calculation unit, used to calculate the preventive maintenance downtime loss cost based on the unit time failure downtime loss cost and the preventive maintenance time;

[0199] The component preventive maintenance cost model building unit is used to build the component preventive maintenance cost model based on the preventive maintenance downtime loss cost, the preventive maintenance direct cost, the total preventive maintenance manpower cost and the total preventive maintenance material cost.

[0200] In some specific embodiments, the target cost model building module 12 specifically includes:

[0201] A function acquisition unit, used to acquire a reliability function and an unreliability function; wherein the sum of the reliability function and the unreliability function is 1;

[0202] A fault repair total cost acquisition unit, used to acquire the fault repair total cost output by the component fault repair cost model;

[0203] A unit for obtaining the total preventive maintenance cost output by the preventive maintenance cost model of the component;

[0204] A first product calculation unit, used to calculate a first product obtained by calculating the total fault repair cost and the unreliability function;

[0205] A second product calculation unit, used for calculating a second product obtained by calculating the total preventive maintenance cost and the reliability function;

[0206] A target cost model generating unit is configured to generate the target cost model based on the first product and the second product.

[0207] In some specific embodiments, the current cost monitoring module 13 specifically includes:

[0208] A target time information acquisition unit is used to acquire the target time information of the current oil and gas dynamic equipment; the target time information includes spare parts ordering time, fault occurrence time, spare parts arrival time and spare parts replacement time;

[0209] a first component failure downtime acquisition unit, configured to calculate a difference between the spare part replacement time and the spare part ordering time to obtain the first component failure downtime if the spare part ordering time is equal to the failure occurrence time, the failure occurrence time is less than the spare part arrival time, and the spare part arrival time is equal to the spare part replacement time;

[0210] A first cost information calculation unit, configured to calculate first cost information based on a spare parts ordering decision model, a spare parts unit price, a first component failure downtime, a unit time failure downtime loss cost, and a total failure repair material cost;

[0211] a working time acquisition unit before component failure, configured to integrate based on the reliability function, the spare part ordering time and the spare part replacement time to obtain the working time before component failure if the spare part ordering time is less than the failure occurrence time, the failure occurrence time is less than the spare part arrival time, and the spare part arrival time is equal to the spare part replacement time;

[0212] A second component failure downtime acquisition unit, used to calculate the difference between the working time before the component failure and the spare part replacement time to obtain the second component failure downtime;

[0213] A second cost information calculation unit, configured to calculate second cost information based on the spare parts ordering decision model, the spare parts unit price, the second component failure downtime, the unit time failure downtime loss cost, and the total failure repair material cost;

[0214] a spare parts storage holding time calculation unit, configured to calculate the spare parts storage holding time based on the reliability function, the spare parts replacement time and the spare parts waiting time if the spare parts ordering time is less than the spare parts arrival time, the spare parts arrival time is less than the spare parts replacement time, and the fault occurrence time is not obtained; the spare parts waiting time is the sum of the spare parts ordering time and the spare parts delivery time; the spare parts delivery time is the difference between the spare parts arrival time and the spare parts ordering time;

[0215] A damage probability calculation unit, used to calculate the damage probability of the replaced spare part based on the storage holding time of the spare part;

[0216] a current cost information calculation unit, for calculating the current cost information based on the spare part unit price, the new spare part delivery time, the unit time failure downtime loss cost and the total material cost of the failure repair if the replaced spare part is damaged;

[0217] A risk cost calculation unit, configured to calculate the risk cost of the spare parts warehousing based on the current cost information and the damage probability of the replaced spare parts;

[0218] a third cost information calculation unit, configured to calculate third cost information based on the risk cost, the unit time inventory holding cost, and the current preventive maintenance cost output by the target cost model;

[0219] The current cost monitoring result acquisition unit is used to determine the first cost information, the second cost information, and the third cost information as the current cost monitoring results corresponding to the oil and gas dynamic equipment.

[0220] In some specific embodiments, the component procurement control module 14 specifically includes:

[0221] A total expected cost calculation unit, used to calculate the total expected cost of spare parts ordering at each time based on the current cost monitoring result and the event occurrence probability value corresponding to each cost information;

[0222] A component average working time calculation unit, used to calculate the component average working time based on the event occurrence probability value corresponding to each cost information and the working time before the component failure corresponding to each cost information;

[0223] The key component procurement unit is used to control the procurement process of the target key component based on the total expected cost and the average working time of the component.

[0224] Furthermore, an embodiment of the present invention also provides an electronic device. Fig.14 This is a structural diagram of an electronic device 20 according to an exemplary embodiment, and the content in the diagram cannot be regarded as any limitation on the scope of application of the present invention.

[0225] Fig.14 The present invention provides a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present invention. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the method for monitoring key components of oil and gas equipment disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0226] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present invention, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0227] In addition, the memory 22, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0228] The operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device 20, and may be Windows Server, Netware, Unix, Linux, etc. In addition to computer programs that can be used to complete the method for monitoring key components of oil and gas equipment executed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 may further include computer programs that can be used to complete other specific tasks.

[0229] Furthermore, an embodiment of the present invention also discloses a computer-readable storage medium, in which a computer program is stored. When the computer program is loaded and executed by a processor, the steps of the method for monitoring key components of oil and gas dynamic equipment disclosed in any of the aforementioned embodiments are implemented.

[0230] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0231] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0232] The above is a detailed introduction to a method, device, equipment and medium for monitoring key components of oil and gas dynamic equipment provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for monitoring key components of oil and gas equipment, characterized in that: include: Determine target key components of oil and gas dynamic equipment, and build a key component reliability model based on the average failure rate of the target key components; Generate a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model; Acquire the target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model; Controlling the procurement process of the target key components according to the current cost monitoring results; The step of obtaining the target time information of the current oil and gas dynamic equipment so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model includes: Obtain target time information of the current oil and gas powered equipment; the target time information includes spare parts ordering time, fault occurrence time, spare parts arrival time and spare parts replacement time; If the spare parts ordering time is equal to the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then the difference between the spare parts replacement time and the spare parts ordering time is calculated to obtain the first component fault downtime; Calculate first cost information based on a spare parts ordering decision model, a spare parts unit price, the first component failure downtime, the failure downtime loss cost per unit time, and the total failure repair material cost; If the spare parts ordering time is less than the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then integration is performed based on the reliability function, the spare parts ordering time and the spare parts replacement time to obtain the working time before the component failure; Calculate the difference between the working time before the component failure and the spare part replacement time to obtain the second component failure downtime, and calculate the second cost information based on the spare parts ordering decision model, the spare parts unit price, the second component failure downtime, the unit time failure downtime loss cost and the total fault repair material cost; If the spare parts ordering time is less than the spare parts arrival time, the spare parts arrival time is less than the spare parts replacement time, and the fault occurrence time is not obtained, the spare parts storage holding time is calculated based on the reliability function, the spare parts replacement time and the spare parts waiting time; the spare parts waiting time is the sum of the spare parts ordering time and the spare parts delivery time; the spare parts delivery time is the difference between the spare parts arrival time and the spare parts ordering time; Calculating the damage probability of the replaced spare parts based on the storage holding time of the spare parts; If the replaced spare part is damaged, the current cost information is calculated based on the spare part unit price, the new spare part delivery time, the unit time failure downtime loss cost and the total material cost of the failure repair; Calculate the risk cost of warehousing the spare parts based on the current cost information and the damage probability of the replaced spare parts; Calculating third cost information based on the risk cost, the unit time inventory holding cost, and the current preventive maintenance cost output by the target cost model; The first cost information, the second cost information, and the third cost information are determined as current cost monitoring results corresponding to the oil and gas power equipment.

2. The method for monitoring key components of oil and gas equipment according to claim 1, characterized in that: The constructing of a key component reliability model based on the average failure rate of the target key component comprises: Calculate the ratio of the total number of failures to the total number of life units under a preset failure condition and a preset time period to obtain the average failure rate; wherein the average failure rate and the average failure interval are reciprocals of each other; When the life variable of the target key component obeys an exponential distribution, the key component reliability model is constructed based on the average failure rate and the current moment, so as to obtain the reliability of the target key component at the current moment output by the key component reliability model.

3. The method for monitoring key components of oil and gas equipment according to claim 1, characterized in that: Before generating the target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function and the key component reliability model, the method further includes: Calculating the unit time failure repair downtime loss cost based on the unit time failure downtime loss cost and the failure repair time; The component failure repair cost model is constructed based on the failure repair downtime loss cost, the failure repair direct cost, the failure repair total manpower cost and the failure repair total material cost.

4. The method for monitoring key components of oil and gas equipment according to claim 3 is characterized in that: Before generating the target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function and the key component reliability model, the method further includes: Calculating the preventive maintenance downtime loss cost based on the unit time failure downtime loss cost and the preventive maintenance time; The component preventive maintenance cost model is constructed based on the preventive maintenance downtime loss cost, the preventive maintenance direct cost, the total preventive maintenance manpower cost and the total preventive maintenance material cost.

5. The method for monitoring key components of oil and gas equipment according to claim 3 is characterized in that: The generating of the target cost model based on the pre-established component failure repair cost model and the corresponding unreliability function, the component preventive maintenance cost model and the corresponding reliability function and the key component reliability model comprises: Obtaining a reliability function and an unreliability function; wherein the sum of the reliability function and the unreliability function is 1; Obtaining the total fault repair cost output by the component fault repair cost model, and obtaining the total preventive maintenance cost output by the component preventive maintenance cost model; Calculating a first product of the total fault repair cost and the unreliability function, and calculating a second product of the total preventive maintenance cost and the reliability function; The target cost model is generated based on the first product and the second product.

6. The method for monitoring key components of oil and gas equipment according to any one of claims 1 to 5, characterized in that: The controlling the procurement process of the target key components according to the current cost monitoring result includes: Calculate the total expected cost of spare parts ordering at each time based on the current cost monitoring result and the event occurrence probability value corresponding to each cost information; Calculate the average working time of the component based on the event occurrence probability value corresponding to each cost information and the working time before the component failure corresponding to each cost information; The procurement process of the target key component is controlled based on the total expected cost and the average working time of the component.

7. A monitoring device for key components of oil and gas equipment, characterized in that: include: A key component reliability model module is used to determine the target key components of the oil and gas dynamic equipment and to build a key component reliability model based on the average failure rate of the target key components; A target cost model building module, used to generate a target cost model based on a pre-established component failure repair cost model and a corresponding unreliability function, a component preventive maintenance cost model and a corresponding reliability function, and the key component reliability model; A current cost monitoring module, used to obtain target time information of the current oil and gas dynamic equipment, so as to obtain the current cost monitoring result corresponding to the oil and gas dynamic equipment based on the target time information and the target cost model calculation; A component procurement control module, used to control the procurement process of the target key component according to the current cost monitoring result; The current cost monitoring module is specifically used for: Obtain target time information of the current oil and gas powered equipment; the target time information includes spare parts ordering time, fault occurrence time, spare parts arrival time and spare parts replacement time; If the spare parts ordering time is equal to the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then the difference between the spare parts replacement time and the spare parts ordering time is calculated to obtain the first component fault downtime; Calculate first cost information based on a spare parts ordering decision model, a spare parts unit price, the first component failure downtime, a unit failure downtime loss cost, and a total failure repair material cost; If the spare parts ordering time is less than the fault occurrence time, the fault occurrence time is less than the spare parts arrival time, and the spare parts arrival time is equal to the spare parts replacement time, then integration is performed based on the reliability function, the spare parts ordering time and the spare parts replacement time to obtain the working time before the component failure; Calculate the difference between the working time before the component failure and the spare part replacement time to obtain the second component failure downtime, and calculate the second cost information based on the spare parts ordering decision model, the spare parts unit price, the second component failure downtime, the unit time failure downtime loss cost and the total fault repair material cost; If the spare parts ordering time is less than the spare parts arrival time, the spare parts arrival time is less than the spare parts replacement time, and the fault occurrence time is not obtained, the spare parts storage holding time is calculated based on the reliability function, the spare parts replacement time and the spare parts waiting time; the spare parts waiting time is the sum of the spare parts ordering time and the spare parts delivery time; the spare parts delivery time is the difference between the spare parts arrival time and the spare parts ordering time; Calculating the damage probability of the replaced spare parts based on the storage holding time of the spare parts; If the replaced spare part is damaged, the current cost information is calculated based on the spare part unit price, the new spare part delivery time, the unit time failure downtime loss cost and the total material cost of the failure repair; Calculate the risk cost of warehousing the spare parts based on the current cost information and the damage probability of the replaced spare parts; Calculating third cost information based on the risk cost, the unit time inventory holding cost, and the current preventive maintenance cost output by the target cost model; The first cost information, the second cost information, and the third cost information are determined as current cost monitoring results corresponding to the oil and gas power equipment.

8. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor is used to execute the computer program to implement the steps of the method for monitoring key components of oil and gas power equipment as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: Used to store computer programs; wherein, when the computer program is executed by a processor, the method for monitoring key components of oil and gas equipment as described in any one of claims 1 to 6 is implemented.

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