Method, device and equipment for determining maintenance requirements of marine engine room pumps

Abstract

The present disclosure provides a method, device and equipment for determining the maintenance demand of a marine engine room pump, which belongs to the field of intelligent ship technology. The determination method includes: monitoring the actual operation data of the engine room pump; obtaining a maintenance demand determination model for the engine room pump, the maintenance demand determination model is used to describe the corresponding relationship between the operation data of the engine room pump and the maintenance demand value; according to the maintenance demand determination model and the actual operation data of the engine room pump, determining the target maintenance demand value corresponding to the actual operation data; based on the target maintenance demand value, determining whether the engine room pump has maintenance demand. The present disclosure can avoid excessive maintenance of the engine room pump through the determination method.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of intelligent ships, and in particular relates to a method, a device and equipment for determining maintenance requirements of a marine engine room pump. Background Art

[0002] Marine engine room pumps are important equipment to ensure the navigation and use performance of ships. There are a large number of engine room pumps on each ship, and the distribution range is large. At the same time, engine room pumps generally work in environments such as oil mist, salt mist, high temperature, vibration, and electromagnetic interference, which makes the communication environment complex. Therefore, it is impossible to install sensors to monitor the use and failure of engine room pumps in real time.

[0003] In the related art, in order to ensure that the engine room pump can operate normally, it is generally necessary to perform regular maintenance on the engine room pump valve. Regular maintenance is generally carried out together with the regular maintenance plan of the ship. For example, regular maintenance can be the "annual inspection", "intermediate inspection", "special inspection" and so on of the engine room pump.

[0004] However, using the above method to inspect and maintain the engine room pump is prone to the problem of excessive maintenance, resulting in a large waste of maintenance costs, manpower and time. Summary of the invention

[0005] The embodiment of the present disclosure provides a method for determining the maintenance requirements of a marine engine room pump, which can avoid excessive maintenance of the engine room pump. The technical solution is as follows:

[0006] An embodiment of the present disclosure provides a method for determining the maintenance requirements of a marine engine room pump, the determination method comprising: monitoring actual operating data of the engine room pump; obtaining a maintenance requirement determination model for the engine room pump, the maintenance requirement determination model being used to describe the correspondence between the operating data of the engine room pump and the maintenance requirement value; determining a target maintenance requirement value corresponding to the actual operating data according to the maintenance requirement determination model; and determining whether there is a maintenance requirement for the engine room pump based on the target maintenance requirement value.

[0007] In another implementation of the present invention, the maintenance requirement determination model includes multiple sub-model groups, each sub-model group corresponds to a component of the cabin pump, and each sub-model group is used to describe the correspondence between the operating data of the component and the component maintenance requirement value; determining the maintenance requirement value of the cabin pump according to the maintenance requirement determination model and the actual operating data of the cabin pump includes: determining the component maintenance requirement values ​​of the components corresponding to the multiple sub-model groups based on the multiple sub-model groups and the actual operating data; and determining the target maintenance requirement value according to the component maintenance requirement values.

[0008] In another implementation of the present invention, each of the sub-model groups includes at least one sub-model, and each of the sub-models is used to describe the correspondence between a type of operating data of an associated component and a sub-maintenance requirement value; determining the component maintenance requirement values ​​of the components corresponding to the multiple sub-model groups based on the multiple sub-model groups and the actual operating data includes: determining the sub-maintenance requirement values ​​corresponding to the multiple sub-models included in the target sub-model group based on the multiple sub-models included in the target sub-model group and the actual operating data of the components corresponding to the target sub-model group; and determining the component maintenance requirement value based on the sub-maintenance requirement values.

[0009] In another implementation of the present invention, the maintenance requirement determination model includes multiple sub-model groups, each sub-model group corresponds to a component of the cabin pump, and each sub-model group is used to describe the correspondence between the operating data of one of the components and the component maintenance requirement value. The method also includes: determining a baseline curve set of the target component of the cabin pump, the baseline curve set is used to reflect the correspondence between the operating condition of the cabin pump and the normal operating data of the target component; determining a fault curve set of the target component, the fault curve set is used to reflect the correspondence between the operating condition of the cabin pump and the abnormal operating data of the target component; based on the baseline curve set and the fault curve set, generating a sub-model group corresponding to the target component.

[0010] In another implementation of the present invention, determining a baseline curve set of the target component of the cabin pump includes: determining a plurality of flow sample points of the cabin pump and a plurality of pressure sample points corresponding to the plurality of flow sample points; linearly fitting the plurality of pressure sample points with the different types of normal operating data of each of the target components to obtain the baseline curve set.

[0011] In another implementation of the present invention, determining the fault curve set of the target component includes: acquiring historical operating data and fault information of the engine room pump; performing a fault analysis on the fault to determine the faulty component of the engine room pump; determining abnormal operating data of the faulty component from the historical operating data to obtain fault data; and linearly fitting the multiple pressure sample points with different types of fault data of each of the target components to obtain the fault curve set.

[0012] In another implementation of the present invention, the sub-model group corresponding to the target component is generated based on the baseline curve set and the fault curve set, including: based on the curves related to the first type of operating data in the baseline curve set and the fault curve set, generating the sub-model corresponding to the first type of operating data, so as to obtain the sub-model group corresponding to the target component.

[0013] In another implementation of the present invention, a device for determining the maintenance requirement of a marine engine room pump is also provided, the determination device comprising: an actual operation data determination module, used to monitor the actual operation data of the engine room pump; a maintenance requirement determination model acquisition module, used to obtain a maintenance requirement determination model of the engine room pump, the maintenance requirement determination model being used to describe the correspondence between the operation data of the engine room pump and the maintenance requirement value; a target maintenance requirement value determination module, used to determine the target maintenance requirement value corresponding to the actual operation data according to the maintenance requirement determination model and the actual operation data of the engine room pump; the maintenance requirement determination module is used to determine whether the engine room pump has maintenance requirements based on the target maintenance requirement value.

[0014] In yet another aspect, the present disclosure further provides a computer device, comprising a processor and a memory configured to store instructions executable by the processor; the processor is configured to execute the above-mentioned method for determining maintenance requirements of a marine engine room pump.

[0015] In yet another aspect, the present disclosure further provides a computer storage medium having computer instructions stored thereon, which, when executed by a processor, implement the above-mentioned method for determining the maintenance requirement of a marine engine room pump.

[0016] The technical solution provided by the embodiments of the present disclosure has the following beneficial effects:

[0017] When determining the maintenance requirement of a marine engine room pump through the determination method provided by the embodiment of the present disclosure, since the determination method is to obtain a maintenance requirement determination model for the engine room pump and monitor the actual operation data of the engine room pump, and then determine the target maintenance requirement value corresponding to the actual operation data based on the maintenance requirement determination model for the engine room pump and the actual operation data, and then determine whether the engine room pump has maintenance requirements based on the target maintenance requirement value, the maintenance requirement of the engine room pump can be quantified, and it is clear whether the engine room pump needs maintenance, so as to avoid overhauling the engine room pump according to the maintenance plan of the ship when it does not need maintenance, thereby greatly reducing the maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a system structure diagram of a ship provided by an embodiment of the present disclosure;

[0020] Figure 2is a flow chart of a method for determining maintenance requirements of a marine engine room pump provided by an embodiment of the present disclosure;

[0021] Figure 3 is a flow chart of another method for determining maintenance requirements of a marine engine room pump provided by an embodiment of the present disclosure;

[0022] Figure 4 It is a display diagram of the maintenance requirement value of a cabin pump component provided by an embodiment of the present disclosure;

[0023] Figure 5 It is a module schematic diagram of a device for determining maintenance requirements of a marine engine room pump provided by an embodiment of the present disclosure;

[0024] Figure 6 It is a structural diagram of a computer device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.

[0026] The marine engine room pumps mentioned in the present disclosure include but are not limited to the following pumps: cargo pumps, ballast pumps, tank washing pumps, sampling pumps, fresh water pumps, fire water pumps, inert gas system washing water pumps, valve remote control system power pumps and tank stripping pumps.

[0027] That is to say, the method for determining the maintenance demand of the marine engine room pump provided in the present disclosure is for ships, combined with Figure 1 Ships generally include maintenance objects (such as engine room pumps), patrollers (described in detail below), IoT acquisition modules, host computers, shore-based data centers, etc. Among them, the patroller is used to obtain the data corresponding to the engine room pump components when the engine room pump is actually running, and transmit the data to the host computer. The IoT acquisition module is used to obtain the pressure data of the engine room pump to determine the working condition of the engine room pump. It is also used to access and read the hard-wired signal, modbus communication protocol (serial communication protocol) signal, network signal, etc. provided by the ship's engine room pump, so as to feedback the working condition of the engine room pump to the host computer through data. The host computer is used to make a comprehensive evaluation of the maintenance of the engine room pump, and the shore-based data center is connected to the host computer in communication so that the ship can be monitored in real time at the shore end.

[0028] In this embodiment, the Internet of Things acquisition module is connected to the host computer using a network cable, and the communication adopts the OPC DA (Object Linking and Embedding for Process Control Data Access, data access based on the OPC standard) protocol. The patrol device is connected to the host computer for communication, for example, using a USB (Universal Serial Bus) interface.

[0029] The present disclosure provides a method for determining the maintenance requirement of a marine engine room pump. Figure 2 As shown, the determination method includes:

[0030] S201: Monitor the actual operating data of the engine room pump.

[0031] The operation data includes at least one of vibration data of a target component of the cabin pump, temperature rise data of a target component of the cabin pump, and noise data of a target component of the cabin pump. The target component is at least one of the components included in the cabin pump.

[0032] S202: Obtain a maintenance requirement determination model for the engine room pump, where the maintenance requirement determination model is used to describe the corresponding relationship between the operation data of the engine room pump and the maintenance requirement value.

[0033] S203: Determine a model according to the maintenance requirement and determine a target maintenance requirement value corresponding to the actual operation data.

[0034] S204: Determine whether there is a maintenance requirement for the cabin pump based on the target maintenance requirement value.

[0035] When determining the maintenance requirement of a marine engine room pump through the determination method provided by the embodiment of the present disclosure, since the determination method is to obtain a maintenance requirement determination model for the engine room pump and monitor the actual operation data of the engine room pump, and then determine the target maintenance requirement value corresponding to the actual operation data based on the maintenance requirement determination model for the engine room pump and the actual operation data, and then determine whether the engine room pump has maintenance requirements based on the target maintenance requirement value, the maintenance requirement of the engine room pump can be quantified, and it is clear whether the engine room pump needs maintenance, so as to avoid overhauling the engine room pump according to the maintenance plan of the ship when it does not need maintenance, thereby greatly reducing the maintenance cost.

[0036] Figure 3 Another method for determining the maintenance requirement of a marine engine room pump provided by an embodiment of the present disclosure is combined with Figure 3 , the determination method includes:

[0037] S301: Obtaining reference data of the engine room pump.

[0038] Among them, the reference data of the cabin pump refers to the normal operating data of the target components of the cabin pump when the cabin pump is in different working conditions. Optionally, the working condition can be represented by flow rate or pressure. Since the flow rate of the cabin pump is difficult to detect, the pressure of the cabin pump is usually used to indirectly feedback the flow rate of the cabin pump, that is, the working condition of the cabin pump is represented by the pressure of the cabin pump. In the embodiment of the present application, pressure refers to the outlet pressure of the cabin pump.

[0039] The operation data includes at least one of vibration data, temperature rise data and noise data. The target component is at least one of the components included in the engine room pump. Exemplarily, the target component includes at least one of the upper bearing, upper machine seal, lower bearing, lower machine seal, bearing of the motor, impeller and flow channel of the engine room pump.

[0040] In some embodiments, the benchmark data may be obtained based on the factory data of the engine room pump, wherein the factory data includes a plurality of flow sample points and operation data corresponding to the plurality of flow sample points.

[0041] S302: Determine a reference curve set of a target component of the engine room pump based on the reference data, where the reference curve set is used to reflect the corresponding relationship between the working condition of the engine room pump and the normal operating data of the target component of the engine room pump.

[0042] Each reference curve set includes a plurality of reference curves, and each reference curve is used to reflect the corresponding relationship between the working condition of the engine room pump and a normal operating data of a target component.

[0043] If the working condition is represented by flow, S302 includes: performing linear fitting based on multiple flow sample points and normal operating data of the target component of the engine room pump corresponding to the multiple flow sample points, and obtaining a temperature rise-flow reference fitting curve, a vibration-flow reference fitting curve, and a noise-flow reference fitting curve of the target component. That is, the reference curve set includes a temperature rise-flow reference fitting curve, a vibration-flow reference fitting curve, and a noise-flow reference fitting curve. The reference curve set corresponds to the target component of the engine room pump one by one.

[0044] Exemplarily, the multiple flow sample points may be seven typical flow points corresponding to the cabin pump during factory testing.

[0045] The above 7 typical flow points include at least a small flow point, a medium flow point, and a large flow point. Among them, the small flow point includes the flow point corresponding to the minimum flow and the flow point corresponding to 15% of the minimum flow. The large flow point includes the flow point corresponding to the maximum flow and the flow point corresponding to the flow greater than or less than 15% of the maximum flow. The medium flow point is a flow point located between the small flow point and the large flow point. The minimum flow is the minimum flow value when the engine room pump is running, and the maximum flow is the minimum flow value corresponding to the operation.

[0046] If the working condition is expressed by pressure, S302 includes:

[0047] (1) According to the flow-pressure curve of the engine room pump, the pressure sample points corresponding to the multiple flow sample points of the engine room pump are determined.

[0048] (2) Linearly fit multiple pressure sample points to different types of normal operation data of each target component to obtain the temperature rise-pressure reference fitting curve, vibration-pressure reference fitting curve, and noise-pressure reference fitting curve of the target component. That is, the reference curve set includes the temperature rise-pressure fitting curve, the vibration-pressure fitting curve, and the noise-pressure fitting curve. The reference curve set corresponds to the target component of the cabin pump one by one.

[0049] The flow-pressure curve of the engine room pump can be obtained based on the factory data of the engine room pump.

[0050] S303: Obtain fault data of the engine room pump.

[0051] The fault data of the engine room pump refers to the operation data of the faulty components of the engine room pump when the engine room pump is in different working conditions. Here, the faulty components include the aforementioned target components.

[0052] Optionally, S303 includes:

[0053] 3031: Get the historical operation data and fault information of the engine room pump.

[0054] The fault information includes but is not limited to the fault type and fault time of the engine room pump, etc. For example, the fault type may be insufficient discharge pressure of the engine room pump, intermittent operation of the engine room pump, insufficient flow head of the engine room pump, and no flow, etc. The fault time is used to indicate the time when the fault occurs.

[0055] The historical operation data includes the operation data and the collection time of the operation data.

[0056] The historical operation data and fault information of the engine room pump are obtained from the historical records of the same type of engine room pump in previous use. When the engine room pump is in use, the operation data is automatically recorded according to the collection time of the operation data. At the same time, when the engine room pump fails, the corresponding operation data can be found according to the fault time, so as to prepare in advance for the subsequent acquisition of fault data.

[0057] 3032: Perform fault analysis based on fault data to determine the faulty component of the engine room pump.

[0058] Exemplarily, a fault tree analysis may be used to determine the faulty component of the cabin pump.

[0059] For example, when an engine room pump has an intermittent operation failure, the fault tree analysis can determine that the faulty component is a bearing or a machine seal, etc., that is, the ultimate cause of the failure is a problem with the bearing or the machine seal, etc.

[0060] 3033: The operation data of the faulty component of the engine room pump is used as the abnormal operation data of the target component.

[0061] After the faulty component is determined, the operation data of the faulty component is obtained from the historical operation data according to the fault time, and then the abnormal operation data of the target component is obtained from the operation data of the faulty component.

[0062] For example, when the fault is that the pump current increases, the fault tree analysis result can determine that the faulty component of the engine room pump is a bearing, and the faulty component is the aforementioned target component. In this way, the fault vibration data, fault temperature rise data, and fault noise data corresponding to the faulty component (a bearing) can be found from the historical operation data.

[0063] S304: Determine a fault curve set of a target component of the engine room pump based on the fault data. The fault curve set is used to reflect the corresponding relationship between the operating condition of the engine room pump and the abnormal operation data of the target component of the engine room pump.

[0064] Each fault curve set includes a plurality of fault curves, and each fault curve is used to reflect the corresponding relationship between the working condition of the engine room pump and an abnormal operation data of the target component.

[0065] A plurality of pressure sample points are linearly fitted with different types of abnormal operation data of each target component to obtain a set of fault curves.

[0066] That is, in the embodiment of the present application, a plurality of pressure sample points can be linearly fitted with abnormal vibration data to obtain a vibration-pressure fault fitting curve, a plurality of pressure sample points can be linearly fitted with abnormal temperature rise data to obtain a temperature rise-pressure fault fitting curve, and a plurality of pressure sample points can be linearly fitted with abnormal noise data to obtain a noise-pressure fault fitting curve. The fault curve set includes a temperature rise-pressure fault fitting curve, a vibration-pressure fault fitting curve, a noise-pressure fault fitting curve, etc.

[0067] S305: Generate a sub-model group corresponding to the target component based on the reference curve set and the fault curve set.

[0068] The maintenance requirement determination model includes a plurality of sub-model groups, each sub-model group corresponds to a component of the engine room pump, and each sub-model group is used to describe the corresponding relationship between the operating data of the corresponding component and the maintenance requirement value of the component.

[0069] As mentioned above, each component corresponds to at least one kind of operating data. Accordingly, each sub-model group includes at least one sub-model. Each sub-model is used to describe the corresponding relationship between one kind of operating data of the corresponding component and the sub-maintenance requirement value.

[0070] That is, the type of the sub-model corresponds to the type of the operation data of the cabin pump component. When the operation data includes vibration data, temperature rise data and noise data, the sub-model includes a vibration-maintenance sub-model, a temperature rise-maintenance sub-model and a noise-maintenance sub-model.

[0071] Optionally, S305 may be performed in the following manner:

[0072] Based on the curves related to the first type of operating data in the reference curve set and the fault curve set, a sub-model corresponding to the first type of operating data is generated to obtain a sub-model group corresponding to the target component. Here, the first type of operating data is any of the aforementioned types, for example, vibration data, temperature rise data or noise data.

[0073] In this embodiment, a first target value of the first type of operating data corresponding to the baseline curve is determined based on the target operating condition; the maintenance requirement value corresponding to the first target value is set to a minimum value (for example, 0); a second target value of the first type of operating data corresponding to the fault curve is determined based on the target operating condition; the maintenance requirement value corresponding to the second target value is set to a maximum value (for example, 100); the values ​​of the operating data between the first target value and the second target value are mapped one by one to the maintenance requirement values ​​between the minimum value and the maximum value, so that a sub-model corresponding to a certain type of operating data can be obtained.

[0074] For example, when the working condition is that the pressure of the engine room pump is 50MPa, a corresponding fault occurs when the vibration speed reaches 10mm / s. Under this working condition (the pressure of the engine room pump is 50MPa), the vibration speed of the engine room pump is 5mm / s when it works normally, so the maintenance demand value corresponding to the vibration speed of 5mm / s can be set to 0, that is, the vibration speed of 5mm / s corresponds to 0, and the maintenance demand value corresponding to the vibration speed of 10mm / s is 100, that is, the vibration speed of 10mm / s corresponds to 100. By determining a line through two points, it is obtained that when the working condition is that the pressure of the engine room pump is 50MPa, the vibration-maintenance sub-model can be expressed as: y=20x-100, x represents the vibration speed, and y represents the vibration maintenance demand value.

[0075] The acquisition methods of other sub-models (temperature rise-maintenance sub-model under different working conditions and noise-maintenance sub-model under different working conditions) are similar.

[0076] In the disclosed embodiment, the horizontal axis in the sub-model is a certain type of operating data (vibration speed or temperature rise or noise), and the vertical axis is the maintenance requirement value. The maintenance requirement value is a dimensionless data, and the maintenance requirement value is mapped to the interval of 0-100 to evaluate the maintenance requirement of the engine room pump component. When maintenance is not required, the maintenance requirement is 0, and when the fault is serious and maintenance is urgently needed, the maintenance requirement is 100, which can intuitively guide the operator's decision-making.

[0077] S306: Monitor actual operation data of the engine room pump.

[0078] The actual operation data of the engine room pump includes the actual vibration data, actual temperature rise data and actual noise data of the engine room pump components under different working conditions.

[0079] In this embodiment, the actual vibration data, actual temperature rise data and actual noise data of the engine room pump component are obtained through the patrol device. The patrol device contains a power supply, a communication module, a storage module, a processing module, and is connected to a 3-axis vibration sensor signal, a microphone for noise collection and an infrared temperature sensor. The vibration sensor is connected to the engine room pump component with a magnetic base.

[0080] Optionally, the method also includes: after obtaining the actual vibration data, actual temperature rise data and actual noise data corresponding to the cabin pump components, it is necessary to perform low-pass filtering on the obtained actual vibration data, actual temperature rise data and actual noise data to remove interference information and improve the accuracy of the data.

[0081] S307: Determine a target maintenance requirement value corresponding to the actual operation data of the engine room pump according to the maintenance requirement determination model.

[0082] Optionally, S307 includes:

[0083] 3071: Determine component maintenance requirement values ​​of engine room pump components corresponding to the multiple sub-model groups based on the multiple sub-model groups and actual operation data.

[0084] 3071 includes:

[0085] (1) Based on the multiple sub-models included in the target sub-model group and actual operation data of the components corresponding to the target sub-model group, sub-maintenance requirement values ​​corresponding to the multiple sub-models included in the target sub-model group are determined.

[0086] The actual vibration data in the actual operation data of a certain engine room pump component is matched to the vibration-maintenance sub-model to obtain the vibration maintenance requirement value of the engine room pump component, the actual temperature rise data is matched to the temperature rise-maintenance sub-model to obtain the temperature rise maintenance requirement value of the engine room pump component, and the actual noise data is matched to the noise-maintenance sub-model to obtain the noise maintenance requirement value of the engine room pump component. That is, the sub-maintenance requirement value includes at least one of the vibration maintenance requirement value, the temperature rise maintenance requirement value, and the noise maintenance requirement value.

[0087] After the actual vibration data of the engine room pump component is obtained, the vibration maintenance requirement value corresponding to the actual vibration data of the engine room pump component can be known by combining the vibration-maintenance requirement sub-model in the sub-model corresponding to the engine room pump component.

[0088] For example, when the vibration velocity of the engine room pump component is 7 mm / s, the corresponding vibration maintenance requirement value is 40 (the vibration-maintenance sub-model can be expressed as: y=20x-100, x represents the actual vibration velocity, and y represents the vibration maintenance requirement value). Other temperature maintenance requirement values ​​are obtained in the same way as the noise maintenance requirement values, which will not be described in detail here.

[0089] (2) Determine the component maintenance requirement value based on the sub-maintenance requirement value.

[0090] For example, the component maintenance requirement value is obtained by adding the products of multiple sub-maintenance requirement values ​​of the component and their corresponding weights.

[0091] The maintenance requirement value of the engine room pump component is determined according to the vibration maintenance requirement value, the temperature maintenance requirement value and the noise maintenance requirement value and the weights corresponding to different types of operating data.

[0092] The weights corresponding to different types of operating data are assigned different weights according to the impact of the type of operating data (vibration, temperature rise and noise) on the engine room pump. The larger the weight value, the greater the impact of the corresponding operating data on the engine room pump components.

[0093] Weights are specific values ​​set after expert evaluation.

[0094] For example, when the cabin pump component is the upper bearing of the cargo pump, since the temperature rise of the upper bearing of the cargo pump is small during use, and the temperature rise has a small impact on the upper bearing, while the noise has a large impact on the upper bearing, the temperature maintenance requirement value can be assigned a smaller weight, while the noise maintenance requirement value has a larger weight. At this time, the weight corresponding to the temperature maintenance requirement value can be 20%, the weight corresponding to the noise maintenance requirement value can be 50%, and the weight corresponding to the vibration maintenance requirement value can be 30%.

[0095] That is, for the upper bearing component of the cargo pump, if the temperature maintenance requirement value is 40, the noise maintenance requirement value is 50, and the vibration maintenance requirement value is 60, then the component maintenance requirement value of the upper bearing of the cargo pump is 40*20%+50*50%+60*30%=51.

[0096] In this embodiment, in order to intuitively display the maintenance requirement value of the engine room pump component, the maintenance requirement value of each engine room pump component can be displayed through a visual dial, such as Figure 4 As shown, by observation, the maintenance requirements of each engine room pump component can be known.

[0097] 3072: Determine a target maintenance requirement value based on the component maintenance requirement value.

[0098] For example, the component maintenance requirement value is added to the product of the weight of the corresponding cabin pump component to obtain the target maintenance requirement value.

[0099] According to the maintenance requirement values ​​of the engine room pump components and different weights of the engine room pump components, the target maintenance requirement values ​​are determined.

[0100] The weight of the engine room pump component is used to indicate the importance of the component corresponding to the engine room pump on the operation of the engine room pump. The larger the weight value, the greater the influence of the component. For example, a component of the engine room pump itself is a consumable, and sometimes it is allowed to operate with damage, so the weight value of such component can be set to a smaller value.

[0101] Exemplarily, 3072 may obtain the target maintenance requirement value according to the following formula.

[0102] Target maintenance requirement value = q1*a1+q2*a2+…+qn*an, wherein qn is the weight of the nth engine room pump component, and an is the component maintenance requirement value of the nth engine room pump component.

[0103] S308: Determine whether there is a maintenance requirement for the cabin pump based on the target maintenance requirement value.

[0104] According to the magnitude relationship between the target maintenance requirement value and the threshold, it is determined whether the engine room pump has maintenance requirements. For example, when the target maintenance requirement value is greater than the threshold, it is determined that the engine room pump has maintenance requirements. When the target maintenance requirement value is not greater than the threshold, it is determined that the engine room pump has no maintenance requirements.

[0105] The threshold value may be set according to actual needs, for example, the threshold value is 60. If the target maintenance requirement value is greater than 60, it is determined that the engine room pump needs maintenance.

[0106] The disclosed embodiment also provides a device for determining the maintenance requirement of a marine engine room pump, such as Figure 5As shown, the determination device includes: an actual operation data determination module 501 , a maintenance requirement determination model acquisition module 502 , a target maintenance requirement value determination module 503 and a maintenance requirement determination module 504 .

[0107] The actual operation data determination module 501 is used to monitor the actual operation data of the engine room pump. The maintenance demand determination model acquisition module 502 is used to obtain the maintenance demand determination model of the engine room pump, and the maintenance demand determination model is used to describe the corresponding relationship between the operation data of the engine room pump and the maintenance demand value. The target maintenance demand value determination module 503 is used to determine the target maintenance demand value corresponding to the actual operation data according to the maintenance demand determination model. The maintenance demand determination module 504 is used to determine whether there is a maintenance demand for the engine room pump based on the target maintenance demand value.

[0108] The above determination device has all the beneficial effects of the above determination method, which will not be described in detail here.

[0109] Optionally, the target maintenance requirement value determination module 503 is used to determine component maintenance requirement values ​​of components corresponding to the multiple sub-model groups based on the multiple sub-model groups and actual operation data, and determine the target maintenance requirement value according to the component maintenance requirement values.

[0110] Optionally, the target maintenance requirement value determination module 503 is used to determine the sub-maintenance requirement values ​​corresponding to the multiple sub-models included in the target sub-model group based on the multiple sub-models included in the target sub-model group and the actual operation data of the components corresponding to the target sub-model group, and determine the component maintenance requirement value according to the sub-maintenance requirement values.

[0111] Optionally, the maintenance requirement determination model acquisition module 502 is used to: determine a baseline curve set of the target component of the engine room pump, the baseline curve set is used to reflect the correspondence between the operating condition of the engine room pump and the normal operating data of the target component; determine a fault curve set of the target component, the fault curve set is used to reflect the correspondence between the operating condition of the engine room pump and the abnormal operating data of the target component; based on the baseline curve set and the fault curve set, generate a sub-model group corresponding to the target component.

[0112] Optionally, the maintenance requirement determination model acquisition module 502 is used to: determine multiple flow sample points of the cabin pump and multiple pressure sample points corresponding to the multiple flow sample points; linearly fit the different types of normal operating data of each of the target components with the multiple pressure sample points to obtain the benchmark curve set.

[0113] Optionally, the maintenance demand determination model acquisition module 502 is further used to: obtain historical operation data and fault information of the engine room pump; perform fault analysis on the fault to determine the faulty component of the engine room pump; determine abnormal operation data of the faulty component from the historical operation data to obtain fault data;

[0114] Linear fitting is performed on the different types of fault data of each target component and the multiple pressure sample points to obtain the set of fault curves.

[0115] Optionally, the maintenance requirement determination model acquisition module 502 is further used to: generate the sub-model corresponding to the first type of operating data based on the reference curve set and the curve related to the first type of operating data in the fault curve set, so as to obtain the sub-model group corresponding to the target component.

[0116] It should be noted that the method for determining the maintenance requirement of a marine engine room pump and the device for determining the maintenance requirement of a marine engine room pump have the same effect.

[0117] Figure 6 is a schematic diagram of a computer device provided by an embodiment of the present disclosure, combined with Figure 6 , the computer device 600 may include one or more of the following components: a processor 601 , a memory 602 , a communication interface 603 , and a bus 604 .

[0118] The processor 601 includes one or more processing cores, and the processor 601 executes various functional applications and information processing by running software programs and modules. The memory 602 and the communication interface 603 are connected to the processor 601 through the bus 604. The memory 602 can be used to store at least one instruction, and the processor 601 is used to execute the at least one instruction to implement each step in the above method.

[0119] In addition, the memory 602 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, and the volatile or non-volatile storage device includes but is not limited to: a magnetic disk or an optical disk, an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a static random access memory (SRAM), a read-only memory (ROM), a magnetic memory, a flash memory, and a programmable read-only memory (PROM).

[0120] The embodiment of the present disclosure also provides a computer storage medium, and when the computer instructions are executed by a processor, the above method for determining the maintenance requirements of a marine engine room pump is implemented.

[0121] A computer program product comprising instructions, when running on a computer, enables the computer to execute the above method for determining the maintenance requirement of a marine engine room pump provided in an embodiment of the present application.

[0122] The above description is only an optional embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for determining the maintenance requirements of a marine engine room pump, characterized in that: The determination method comprises: Monitor the actual operating data of engine room pumps; Obtaining a maintenance demand determination model for the engine room pump, wherein the maintenance demand determination model is used to describe a corresponding relationship between operation data of the engine room pump and a maintenance demand value; Determining a target maintenance requirement value corresponding to the actual operation data according to the maintenance requirement determination model; Based on the target maintenance requirement value, determining whether the cabin pump has a maintenance requirement; The maintenance requirement determination model includes a plurality of sub-model groups, each sub-model group corresponds to a component of the engine room pump, and each sub-model group is used to describe the corresponding relationship between the operating data of one of the components and the maintenance requirement value of the component. The maintenance requirement determination model is established in the following manner: Determine a plurality of flow sample points of the engine room pump and a plurality of pressure sample points corresponding to the plurality of flow sample points, perform linear fitting on the plurality of pressure sample points and different types of normal operating data of each target component, respectively, to obtain a reference curve set, wherein the reference curve set is used to reflect the corresponding relationship between the operating condition of the engine room pump and the normal operating data of the target component; Acquiring historical operation data and fault information of the engine room pump, performing fault analysis on the fault to determine the faulty component of the engine room pump, determining abnormal operation data of the faulty component from the historical operation data to obtain fault data, performing linear fitting on the multiple pressure sample points and the different types of fault data of each target component to obtain a set of fault curves, wherein the set of fault curves is used to reflect the corresponding relationship between the operating condition of the engine room pump and the abnormal operation data of the target component; Based on the curves related to the first type of operating data in the baseline curve set and the fault curve set, a sub-model corresponding to the first type of operating data is generated to obtain a sub-model group corresponding to the target component, wherein the first type of operating data is any one of the operating data of the target component, including vibration data, temperature rise data or noise data, and the sub-model is used to describe the correspondence between a type of operating data of the target component and a sub-maintenance requirement value, the sub-maintenance requirement value corresponding to the first target value in the sub-model is a minimum value of 0, and the sub-maintenance requirement value corresponding to the second target value in the sub-model is a maximum value of 100, the first target value is the first type of operating data corresponding to the baseline curve of the engine room pump under the target operating condition, and the second target value is the first type of operating data corresponding to the fault curve of the engine room pump under the target operating condition.

2. The determination method according to claim 1, characterized in that: The maintenance requirement determination model includes a plurality of sub-model groups, each sub-model group corresponds to a component of the engine room pump, and each sub-model group is used to describe the corresponding relationship between the operating data of one of the components and the maintenance requirement value of the component; Determining the maintenance requirement value of the engine room pump according to the maintenance requirement determination model and actual operation data of the engine room pump includes: Determining component maintenance requirement values ​​of components corresponding to the multiple sub-model groups based on the multiple sub-model groups and the actual operation data; The target maintenance requirement value is determined according to the component maintenance requirement value.

3. The determination method according to claim 2, characterized in that: Each of the sub-model groups includes at least one sub-model, and each of the sub-models is used to describe the corresponding relationship between a type of operating data of an associated component and a sub-maintenance requirement value; The determining, based on the multiple sub-model groups and the actual operation data, component maintenance requirement values ​​of the components corresponding to the multiple sub-model groups includes: Determining sub-maintenance requirement values ​​corresponding to the multiple sub-models included in the target sub-model group based on the multiple sub-models included in the target sub-model group and actual operation data of the components corresponding to the target sub-model group; The component maintenance requirement value is determined according to the sub-maintenance requirement value.

4. A device for determining maintenance requirements of a marine engine room pump, characterized in that: The determining device comprises: An actual operation data determination module, used for monitoring the actual operation data of the engine room pump; A maintenance demand determination model acquisition module is used to obtain a maintenance demand determination model for an engine room pump, where the maintenance demand determination model is used to describe the corresponding relationship between the operation data of the engine room pump and the maintenance demand value; a target maintenance requirement value determination module, configured to determine a target maintenance requirement value corresponding to the actual operation data according to the maintenance requirement determination model and the actual operation data of the engine room pump; The maintenance requirement determination module is used to determine whether the cabin pump has a maintenance requirement based on the target maintenance requirement value; The maintenance demand determination model acquisition module is used to determine multiple flow sample points of the engine room pump and multiple pressure sample points corresponding to the multiple flow sample points, and linearly fit the multiple pressure sample points with different types of normal operating data of each target component to obtain a reference curve set, and the reference curve set is used to reflect the corresponding relationship between the working condition of the engine room pump and the normal operating data of the target component; obtain the historical operating data and fault information of the engine room pump, perform fault analysis on the fault to determine the faulty component of the engine room pump, determine the abnormal operating data of the faulty component from the historical operating data to obtain fault data, and linearly fit the multiple pressure sample points with different types of fault data of each target component to obtain a fault curve set, and the fault curve set is used to reflect the working condition of the engine room pump and the abnormal operation of the target component The corresponding relationship between the data; based on the curves related to the first type of operating data in the baseline curve set and the fault curve set, a sub-model corresponding to the first type of operating data is generated to obtain a sub-model group corresponding to the target component, wherein the first type of operating data is any one of the operating data of the target component, including vibration data, temperature rise data or noise data, and the sub-model is used to describe the corresponding relationship between a type of operating data of the target component and a sub-maintenance requirement value, the sub-maintenance requirement value corresponding to the first target value in the sub-model is a minimum value of 0, and the sub-maintenance requirement value corresponding to the second target value in the sub-model is a maximum value of 100, the first target value is the first type of operating data corresponding to the baseline curve of the engine room pump under the target operating condition, and the second target value is the first type of operating data corresponding to the fault curve of the engine room pump under the target operating condition.

5. A computer device, characterized in that: The computer device comprises a processor and a memory configured to store instructions executable by the processor; the processor is configured to execute the method for determining the maintenance requirement of a marine engine room pump according to any one of claims 1 to 3.

6. A computer storage medium having computer instructions stored thereon, characterized in that: When the computer instructions are executed by a processor, the method for determining the maintenance requirements of the marine engine room pump according to any one of claims 1 to 3 is implemented.

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