A method and system for monitoring the operating status and diagnosing faults of marine equipment

Abstract

The present application discloses a method and system for monitoring the operation status and fault diagnosis of ship equipment, the method comprising: collecting ship electromechanical equipment operation data and ship electromechanical equipment information and performing corresponding association processing; classifying and processing the operation data of ship electromechanical equipment belonging to different types according to the electromechanical equipment type information; constructing a fault diagnosis model library for each type of ship electromechanical equipment, each type of fault diagnosis model library includes several typical fault diagnosis models of ship electromechanical equipment of this type; inputting the operation data of each type of ship electromechanical equipment into the corresponding type of fault diagnosis model library one by one for fault diagnosis, and obtaining the fault diagnosis result of each ship electromechanical equipment; screening the faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment, and displaying the location and fault content of the faulty ship electromechanical equipment. The present application can obtain the fault content and accurate fault location of ship electromechanical equipment in all aspects.

Description

Technical Field

[0001] The present application relates to the technical field of equipment monitoring, and in particular to a method and system for monitoring the operating status and diagnosing faults of ship equipment. Background Art

[0002] Marine electromechanical equipment mainly includes marine power plants, marine pumps and valves, deck machinery, marine auxiliary engines, auxiliary engines, as well as power, electrical control and other related equipment. They are important devices for driving the ship's navigation, maintaining the ship's performance, structural integrity and providing life services for personnel.

[0003] The operating status of a ship's electromechanical equipment is related to the normal operation of the ship as a whole. Once a ship's electromechanical equipment fails, it will cause unpredictable damage. Therefore, once a ship's electromechanical equipment fails, it is necessary to provide a system that can quickly diagnose the location and cause of the failure, so as to take targeted maintenance measures in a timely manner, improve the maintenance efficiency of the ship's electromechanical equipment, and reduce the probability of ship failures. However, since ship electromechanical equipment is relatively large and complex, most of the existing technologies have established independent operating status monitoring and fault diagnosis systems around some ship electromechanical equipment, such as power units, and are unable to fully obtain the fault content of the ship's electromechanical equipment, and are unable to accurately locate the fault. Summary of the invention

[0004] In order to comprehensively obtain the fault content and accurately locate the fault of ship electromechanical equipment, the present application provides a method and system for ship equipment operation status monitoring and fault diagnosis.

[0005] In a first aspect, the present invention provides a method for monitoring the operating status and diagnosing faults of marine equipment, comprising:

[0006] Collecting ship electromechanical equipment operation data and ship electromechanical equipment information and performing corresponding association processing; the equipment information includes the type of electromechanical equipment, the unique identification of the electromechanical equipment and the location of the electromechanical equipment;

[0007] Classify and process the operation data of the ship's electromechanical equipment belonging to different types according to the electromechanical equipment type information;

[0008] A fault diagnosis model library is constructed for each type of ship electromechanical equipment, and each type of fault diagnosis model library includes several typical fault diagnosis models of the ship electromechanical equipment of that type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment is input into the corresponding type of fault diagnosis model library one by one to perform fault diagnosis, and obtain the fault diagnosis result of each ship electromechanical equipment;

[0009] According to the fault diagnosis result of each ship electromechanical equipment, the faulty ship electromechanical equipment is screened out, and the location and fault content of the faulty ship electromechanical equipment are displayed.

[0010] By adopting the above scheme, the unique identifier such as the equipment number of each electromechanical equipment and the location of the electromechanical equipment are used to correspond to the associated operating data. Once the faulty electromechanical equipment is diagnosed through the operating data, the precise fault location can be obtained according to the associated relationship; the fault diagnosis model library for each type of ship electromechanical equipment is used to perform fault diagnosis on the classified ship electromechanical equipment, and the specific fault content of the ship electromechanical equipment is obtained in all aspects.

[0011] Preferably, it also includes:

[0012] Classify and process the operation data of the ship's electromechanical equipment belonging to different compartments according to the location of the electromechanical equipment;

[0013] The method of inputting the operating data of each type of ship electromechanical equipment into the fault diagnosis model library of the corresponding type one by one according to the unique identification of the electromechanical equipment for fault diagnosis includes: inputting the operating data of each type of ship electromechanical equipment in each cabin one by one according to the unique identification of the electromechanical equipment into the fault diagnosis model library of the corresponding cabin of the corresponding type for fault diagnosis, and each cabin is provided with the same fault diagnosis model library.

[0014] By adopting the above scheme, considering that there are many electromechanical equipments on board, fault diagnosis is performed for ships in different compartments respectively, so as to facilitate the rapid acquisition of fault diagnosis results of each ship's electromechanical equipments.

[0015] Preferably, it also includes:

[0016] When multiple ship electromechanical equipment of the same type fail to diagnose faults in a continuous period of time, the corresponding type of spare fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent moment; each type of spare fault diagnosis model library includes several typical fault diagnosis models of ship electromechanical equipment of this type constructed by using intelligent algorithms different from each type of fault diagnosis model library;

[0017] When a certain type of single ship electromechanical equipment fails to diagnose a fault for a continuous period of time, the collection device is replaced at a subsequent time to collect the operation data of the single ship electromechanical equipment.

[0018] By adopting the above scheme, if fault diagnosis fails for multiple ship electromechanical equipment of the same type, it is very likely that there is a problem with the current fault diagnosis model library. A backup fault diagnosis model library constructed with a different intelligent algorithm is selected to complete the diagnosis, thereby avoiding the consequence of untimely diagnosis. If fault diagnosis fails for a certain type of single ship electromechanical equipment for a continuous period of time, it is largely explained that there is no problem with the current fault diagnosis model library, but there is a problem with the corresponding ship electromechanical equipment collection device. Replace other collection devices to complete the collection of the corresponding ship electromechanical equipment operating data, thereby avoiding the consequence of untimely diagnosis of the corresponding ship electromechanical equipment.

[0019] Preferably, it also includes:

[0020] Determine the average fault diagnosis time of each type of ship electromechanical equipment according to the historical diagnosis information of each type of ship electromechanical equipment;

[0021] When multiple ship electromechanical equipment of the same type experience a preset number of fault diagnosis timeouts within a continuous period of time, the corresponding type of backup fault diagnosis model library will be selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent time; when a single ship electromechanical equipment of a certain type experiences a preset number of fault diagnosis timeouts within a continuous period of time, the collection device will be replaced at a subsequent time to collect the operating data of the single ship electromechanical equipment.

[0022] By adopting the above scheme, if the fault diagnosis timeout occurs for a preset number of times within a continuous period of time for multiple ship electromechanical equipment of the same type, it means that there is a problem with the current fault diagnosis model library to a great extent. In order to avoid affecting the subsequent fault judgment, a spare fault diagnosis model library using a different intelligent algorithm is selected to complete the diagnosis to avoid affecting the subsequent fault diagnosis and failing to discover the fault in time. For a certain type of single ship electromechanical equipment, if the fault diagnosis timeout occurs for a preset number of times within a continuous period of time, it means that there is a problem with the corresponding ship electromechanical equipment collection device to a large extent. Replace other collection devices to complete the collection of the corresponding ship electromechanical equipment operation data to avoid the consequences of untimely diagnosis of the corresponding ship electromechanical equipment.

[0023] Preferably, it also includes:

[0024] According to the ship electromechanical equipment knowledge graph, various types of ship electromechanical equipment with associated relationships are obtained;

[0025] Obtain historical fault information of various types of ship electromechanical equipment that are associated and located in the same cabin, and determine the fault interval duration between various types of ship electromechanical equipment that are associated;

[0026] For the ship electromechanical equipment whose current fault diagnosis result is faulty, after the corresponding fault interval time, detect whether the fault diagnosis results of other ship electromechanical equipment that are associated and in the same cabin are faulty. If not, then at a subsequent moment, select the corresponding type of backup fault diagnosis model library of other ship electromechanical equipment that are associated and in the same cabin to replace the corresponding type of fault diagnosis model library of other ship electromechanical equipment that are associated and in the same cabin for fault diagnosis.

[0027] By adopting the above scheme, considering the correlation between various types of ship electromechanical equipment, when a certain ship electromechanical equipment fails, it will affect the normal operation of other ship electromechanical equipment. The fault interval and the diagnosis result are used to determine whether the fault result is not diagnosed in time, and the backup fault diagnosis model library is selected to complete timely diagnosis.

[0028] Preferably, it also includes:

[0029] Filter out the currently non-faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment;

[0030] A fault prediction model library is constructed for each type of ship electromechanical equipment, and each type of fault prediction model library includes: a number of typical fault prediction models of the ship electromechanical equipment of this type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment without failure is input into the corresponding type of fault risk prediction model library one by one to perform fault risk prediction, and obtain the fault risk prediction result of each ship electromechanical equipment; the fault risk prediction result includes no risk, low risk, medium risk and high risk;

[0031] According to the fault prediction results of each ship electromechanical equipment, high-risk ship electromechanical equipment is screened out, and it is determined whether the screened high-risk ship electromechanical equipment exists in the ship electromechanical equipment document to be maintained within a specific time from the current moment. If so, no operation is required; otherwise, the high-risk ship electromechanical equipment is set to be added to the ship electromechanical equipment document to be maintained and the time to be maintained is within the specific time from the current moment.

[0032] By adopting the above scheme, a fault prediction model library is established for each type of ship electromechanical equipment to predict the risk of this type of ship electromechanical equipment that has not failed, and equipment maintenance and inspection are carried out for high-risk ship electromechanical equipment to avoid damage caused by failures.

[0033] Preferably, it also includes:

[0034] Obtain typical repair time for mechanical and electrical equipment failures of various types of ships based on expert opinions and suggestions;

[0035] Check the fault diagnosis results of each ship electromechanical equipment and select the fault diagnosis results of the faulty ship electromechanical equipment within a preset time from the corresponding fault repair time. If the fault diagnosis result still does not find the faulty electromechanical equipment, the location and fault content of the faulty ship electromechanical equipment are highlighted.

[0036] By adopting the above solution, it is possible to monitor in real time whether the fault repair is completed within the fault repair time according to the fault diagnosis result. If it is not completed, a warning will be displayed in a highlighted manner to urge the completion of the fault repair.

[0037] In a second aspect, the present application provides a system for monitoring the operating status and diagnosing faults of ship equipment, comprising:

[0038] The ship electromechanical equipment data acquisition module is used to collect the ship electromechanical equipment operation data and ship electromechanical equipment information and perform corresponding association processing; the equipment information includes the type of electromechanical equipment, the unique identification of the electromechanical equipment and the location of the electromechanical equipment;

[0039] The ship electromechanical equipment data classification module is used to classify and process the operation data of ship electromechanical equipment belonging to different types according to the type information of the electromechanical equipment;

[0040] The ship electromechanical equipment fault diagnosis module is used to build a fault diagnosis model library for each type of ship electromechanical equipment. Each type of fault diagnosis model library includes several typical fault diagnosis models of the ship electromechanical equipment of that type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment is input into the corresponding type of fault diagnosis model library one by one to perform fault diagnosis, and obtain the fault diagnosis result of each ship electromechanical equipment;

[0041] The ship electromechanical equipment fault display module is used to screen out the faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment, and display the location and fault content of the faulty ship electromechanical equipment.

[0042] By adopting the above solution, the fault location and cause can be fully and quickly diagnosed, facilitating timely repairs and reducing losses.

[0043] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method as described above.

[0044] In a fourth aspect, the present application provides a computer device, comprising a memory, a processor, and a program stored and executable on the memory, wherein the program implements the steps of the above method when executed by the processor.

[0045] In summary, this application has the following beneficial effects:

[0046] 1. By building a fault diagnosis model library for each type of ship electromechanical equipment, comprehensive fault diagnosis is completed for each ship electromechanical equipment; by associating the location information, unique identification information and operation data information of the ship electromechanical equipment, the faulty ship electromechanical equipment is located promptly and quickly; thereby achieving comprehensive and rapid fault diagnosis and location, so as to take targeted maintenance measures in time, improve the maintenance efficiency of ship electromechanical equipment, and reduce the probability of ship failure;

[0047] 2. In case of failure of fault diagnosis or fault diagnosis timeout within a continuous period of time, the fault diagnosis model library of spare ship electromechanical equipment is used for replacement to avoid losses caused by untimely fault diagnosis;

[0048] 3. Combined with the knowledge graph of ship electromechanical equipment, the fault diagnosis results of the associated ship electromechanical equipment are monitored within the fault interval, and the fault diagnosis model library of the spare ship electromechanical equipment is replaced in time to avoid untimely fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flow chart of the method for monitoring the operating status and diagnosing faults of ship equipment described in a specific embodiment;

[0050] Figure 2 It is a structural diagram of the system for monitoring the operating status and diagnosing faults of ship equipment in a specific embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] like Figure 1 As shown, the embodiment of the present application discloses a method for monitoring the operating status and diagnosing faults of ship equipment, and the specific steps are as follows:

[0053] S1. Collect ship electromechanical equipment operation data and ship electromechanical equipment information and process the data.

[0054] Specifically, the sensor components are used to collect the temperature, flow, speed, torque and other operating data of the ship's electromechanical equipment; the equipment operation parameter collection device is used to collect the protection period status, switch status, current, voltage, vibration and other operating data of the ship's electromechanical equipment; the equipment information collection device is used to collect the unique identification (such as equipment number), location information, type information and other data of the ship's electromechanical equipment. Among them, the type information of ship's electromechanical equipment includes power equipment (such as internal combustion engines, steam engines, steam turbines, etc.), power equipment (such as generator sets, storage batteries, etc.), auxiliary equipment (such as cooling water pumps, lubricating oil pumps, etc.), etc.

[0055] The collected operation data and electromechanical equipment information are processed, including: operation data processing, and association processing of operation data with corresponding electromechanical equipment. The operation data processing includes abnormal data screening and deletion, missing data supplementation and addition, analog data filtering, analog data digital-to-analog conversion, etc. The association processing of operation data with corresponding electromechanical equipment includes associating other equipment information with the operation data corresponding to each ship electromechanical equipment according to the unique identification of each ship electromechanical equipment, and generating a set of associated data.

[0056] S2. Classify and process the collected ship electromechanical equipment operation data and ship electromechanical equipment information.

[0057] Specifically, the operation data of ship electromechanical equipment belonging to different types are classified and processed according to the electromechanical equipment type information, and the ship electromechanical equipment information associated with the operation data of each type of ship electromechanical equipment is classified synchronously.

[0058] S3. Construct a fault diagnosis model library for each type of ship electromechanical equipment, and complete the fault diagnosis of each ship electromechanical equipment according to the fault diagnosis model library constructed for each type of ship electromechanical equipment.

[0059] Specifically, a fault diagnosis model library is constructed for each type of ship electromechanical equipment, and each type of fault diagnosis model library includes several typical fault diagnosis models of the ship electromechanical equipment of that type. The construction process of each typical fault diagnosis model of each type of ship electromechanical equipment includes: using the historical fault information of each type of ship electromechanical equipment and the expert knowledge base on the faults of ship electromechanical equipment to generate a fault data sample library of a typical fault, and combining a typical fault diagnosis model generated by training with different intelligent algorithms.

[0060] According to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment is input into the corresponding type of fault diagnosis model library one by one to perform fault diagnosis, and the fault diagnosis result of each ship electromechanical equipment is obtained; the fault result includes fault, no fault and fault type (such as: main engine lubricating oil system low pressure fault, main engine cooling system high temperature fault, etc.);

[0061] Among them, you can choose to input the fault diagnosis model library one by one in the order of the time when the operation data is collected and the data processing is completed; if the time sequence is the same, the operation data of the ship electromechanical equipment that was in a faulty state at the last moment will be input first. If all the ship electromechanical equipment were in a faulty state at the last moment, they will be randomly selected for input.

[0062] S4. Filter out the faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment, and display the location and fault content of the faulty ship electromechanical equipment.

[0063] Specifically, the location of the faulty ship electromechanical equipment is determined according to the associated equipment information, and the location of the faulty ship electromechanical equipment, the existence of the fault, the fault type and other fault contents are displayed on the fault display screen. In addition, each typical fault of each type of ship electromechanical equipment has targeted maintenance measures, and the corresponding maintenance measures are queried according to the fault content and displayed on the screen simultaneously.

[0064] In summary, once a fault occurs, the present method can comprehensively and quickly display the fault content, fault location and fault repair measures on the screen, so that the staff can repair the fault in time to avoid losses.

[0065] In a specific embodiment, considering the complexity of ship electromechanical equipment, in order to obtain the diagnosis result more quickly, the method further includes:

[0066] According to the location of the electromechanical equipment, the operation data of the ship's electromechanical equipment belonging to different compartments are classified and processed;

[0067] The step of inputting the operation data of each type of ship electromechanical equipment into the fault diagnosis model library of the corresponding type one by one according to the unique identification of the electromechanical equipment for fault diagnosis comprises: inputting the operation data of each type of ship electromechanical equipment in each cabin one by one according to the unique identification of the electromechanical equipment for fault diagnosis into the fault diagnosis model library of the corresponding cabin of the corresponding type for fault diagnosis. Each cabin is provided with the same fault diagnosis model library.

[0068] Therefore, fault diagnosis can be performed by separating the operating data of each type of ship electromechanical equipment in each compartment, thereby accelerating the speed of fault diagnosis.

[0069] In a specific embodiment, in order to avoid failure to complete the acquisition of fault diagnosis in time due to continuous fault diagnosis failure, the method further includes:

[0070] When multiple ship electromechanical equipment of the same type fail to diagnose faults in a continuous period of time, it indicates that the current type of fault diagnosis model library has a high probability of having problems. In order not to continue to affect the fault diagnosis, the corresponding type of spare fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at the subsequent moment. Among them, each type of spare fault diagnosis model library includes several typical fault diagnosis models of ship electromechanical equipment of this type constructed using intelligent algorithms different from each type of fault diagnosis model library.

[0071] When a certain type of single ship electromechanical equipment fails to diagnose faults for a continuous period of time, it indicates that the current type of fault diagnosis model library itself may have a low probability of problems, and the operation data collection of the ship electromechanical equipment itself may have a high probability of problems. In the future, the collection device should be replaced to collect the operation data of a single ship electromechanical equipment. For example, replace the spare sensor component.

[0072] In a specific embodiment, in order to avoid that the subsequent fault diagnosis is affected by the continuous fault timeout, resulting in the failure to complete the acquisition of the fault diagnosis in time, the method further includes:

[0073] The average fault diagnosis time of each type of ship electromechanical equipment is determined based on the historical diagnostic information of each type of ship electromechanical equipment; once the difference between the fault diagnosis time of each type of ship electromechanical equipment and the average fault diagnosis time of each type of ship electromechanical equipment is greater than the preset time difference, it is deemed that the fault diagnosis has timed out.

[0074] When multiple ship electromechanical equipment of the same type have a preset number of fault diagnosis timeouts within a continuous period of time, in order to avoid affecting subsequent fault diagnosis, the corresponding type of standby fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at the subsequent time;

[0075] When a certain type of single ship electromechanical equipment has a preset number of fault diagnosis timeouts within a continuous period of time, in order to prevent the corresponding situation from still occurring and affecting the subsequent fault diagnosis of itself or other equipment, the collection device will be replaced at subsequent times to collect the operating data of the single ship electromechanical equipment.

[0076] In a specific embodiment, considering that there is a connection between the ship electromechanical equipment due to work connection, a faulty electromechanical equipment will affect the associated equipment, so the state of the associated equipment can be monitored to feedback whether the fault diagnosis is running normally, so as to prevent the problem of the fault diagnosis from being discovered in time. The method also includes:

[0077] According to the knowledge graph of ship electromechanical equipment, various types of ship electromechanical equipment with associated relationships are obtained; for example, the power supply device for the cooling equipment, the cooling equipment for the main engine power unit, and the main engine power unit are associated with each other, and the corresponding associated relationships can be queried according to the knowledge graph of ship electromechanical equipment.

[0078] Considering that the ship's electromechanical equipment in the same cabin generally has a greater impact on each other and most of the ship's electromechanical equipment information historical fault information is recorded based on the same cabin, the historical fault information of various types of ship's electromechanical equipment that are associated and in the same cabin is obtained, and the fault interval between various types of ship's electromechanical equipment that are associated is determined. For example: the fault interval between the power supply device for the cooling equipment and the cooling equipment for cooling the main engine power unit is 3 minutes, and the fault interval between the cooling equipment for cooling the main engine power unit and the main engine power unit is 20 minutes.

[0079] For the ship electromechanical equipment whose current fault diagnosis result is faulty, the fault diagnosis result of other ship electromechanical equipment that is associated and located in the same cabin is detected to be faulty after the corresponding fault interval time; if it is not faulty, then at a subsequent moment, the corresponding type of backup fault diagnosis model library of other ship electromechanical equipment that is associated and located in the same cabin is selected to replace the corresponding type of fault diagnosis model library of other ship electromechanical equipment that is associated and located in the same cabin for fault diagnosis.

[0080] In a specific embodiment, in order to fully understand the status of ship equipment, high-risk equipment is maintained in advance, thereby reducing the risk of failure and extending the replacement cycle of ship equipment parts. The method also includes:

[0081] Filter out the currently non-faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment;

[0082] A fault prediction model library is constructed for each type of ship electromechanical equipment, and each type of fault prediction model library includes: several typical fault prediction models of this type of ship electromechanical equipment; wherein, the construction process of each typical fault prediction model of each type of ship electromechanical equipment includes: using the historical fault process information of each type of ship electromechanical equipment and the expert knowledge base on ship electromechanical equipment failures to generate a typical fault process data sample library, and combining a typical fault prediction model generated by training with different intelligent algorithms.

[0083] According to the unique identification of the electromechanical equipment, the operating data of each type of ship electromechanical equipment that has not failed is input into the corresponding type of fault risk prediction model library one by one to perform fault risk prediction, and obtain the fault risk prediction result of each ship electromechanical equipment; the fault risk prediction result includes no risk, low risk, medium risk and high risk.

[0084] According to the fault prediction results of each ship electromechanical equipment, high-risk ship electromechanical equipment is screened out, and it is determined whether the screened high-risk ship electromechanical equipment exists in the ship electromechanical equipment document to be maintained within a specific time from the current moment. If so, no operation is required; otherwise, the high-risk ship electromechanical equipment is set to be added to the ship electromechanical equipment document to be maintained and the time to be maintained is within the specific time from the current moment.

[0085] In a specific embodiment, in order to ensure that the faulty ship electromechanical equipment is repaired in time, the method further includes:

[0086] Obtain typical repair times for various types of ship electromechanical equipment based on expert opinions and suggestions.

[0087] Check the fault diagnosis results of each ship electromechanical equipment and select the fault diagnosis results of the faulty ship electromechanical equipment within a preset time from the corresponding fault repair time. If the fault diagnosis result still does not find the faulty electromechanical equipment, the location and fault content of the faulty ship electromechanical equipment are highlighted.

[0088] like Figure 2 As shown, the present application provides a system for monitoring the operating status and diagnosing faults of ship equipment, comprising:

[0089] The ship electromechanical equipment data acquisition module 101 is used to collect ship electromechanical equipment operation data and ship electromechanical equipment information and perform corresponding association processing; the equipment information includes the type of electromechanical equipment, the unique identification of the electromechanical equipment and the location of the electromechanical equipment;

[0090] The ship electromechanical equipment data classification module 102 is used to classify and process the operation data of the ship electromechanical equipment belonging to different types according to the electromechanical equipment type information;

[0091] The ship electromechanical equipment fault diagnosis module 103 is used to build a fault diagnosis model library for each type of ship electromechanical equipment, and each type of fault diagnosis model library includes a number of typical fault diagnosis models of the ship electromechanical equipment of this type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment is input into the corresponding type of fault diagnosis model library one by one to perform fault diagnosis, and obtain the fault diagnosis result of each ship electromechanical equipment;

[0092] The ship electromechanical equipment fault display module 104 is used to screen out the faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment, and display the location and fault content of the faulty ship electromechanical equipment.

[0093] The system further comprises:

[0094] The ship electromechanical equipment fault prediction module 105 is used to screen out the ship electromechanical equipment that is not currently faulty according to the fault diagnosis result of each ship electromechanical equipment; construct a fault prediction model library for each type of ship electromechanical equipment, and each type of fault prediction model library includes: a number of typical fault prediction models for ship electromechanical equipment of this type; input the operation data of each type of ship electromechanical equipment that is not faulty into the corresponding type of fault risk prediction model library one by one according to the unique identification of the electromechanical equipment to perform fault risk prediction, and obtain the fault risk prediction result of each ship electromechanical equipment; the fault risk prediction result includes no risk, low risk, medium risk and high risk; according to the fault prediction result of each ship electromechanical equipment, screen out the high-risk ship electromechanical equipment, and judge whether the screened high-risk ship electromechanical equipment exists in the ship electromechanical equipment document to be maintained within a specific time from the current moment. If so, no operation is required; otherwise, the high-risk ship electromechanical equipment is set to be added to the ship electromechanical equipment document to be maintained and the time to be maintained is within the specific time from the current moment.

[0095] The ship electromechanical equipment data classification module 102 in the system is also used to classify and process the operating data of the ship electromechanical equipment belonging to different cabins according to the location of the electromechanical equipment; the operation data of each type of ship electromechanical equipment is input into the fault diagnosis model library of the corresponding type one by one according to the unique identification of the electromechanical equipment for fault diagnosis, including: according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment in each cabin is input into the fault diagnosis model library of the corresponding type and corresponding cabin one by one for fault diagnosis, and each cabin is provided with the same fault diagnosis model library.

[0096] The ship electromechanical equipment fault diagnosis module 103 in the system is also used for selecting a corresponding type of spare fault diagnosis model library to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent time when multiple ship electromechanical equipment belonging to the same type fail to diagnose the fault for a continuous period of time; each type of spare fault diagnosis model library includes a number of typical fault diagnosis models of ship electromechanical equipment of this type constructed by using an intelligent algorithm different from each type of fault diagnosis model library; when a single ship electromechanical equipment of a certain type fails to diagnose the fault for a continuous period of time, replacing the collection device at a subsequent time to collect the operation data of the single ship electromechanical equipment;

[0097] The ship electromechanical equipment fault diagnosis module 103 in the system is also used to determine the average fault diagnosis time of each type of ship electromechanical equipment according to the historical diagnosis information of each type of ship electromechanical equipment; when multiple ship electromechanical equipment belonging to the same type have a preset number of fault diagnosis timeouts within a continuous period, then the corresponding type of spare fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent time; when a single ship electromechanical equipment of a certain type has a preset number of fault diagnosis timeouts within a continuous period, then the collection device is replaced at a subsequent time to collect the operation data of the single ship electromechanical equipment;

[0098] The ship electromechanical equipment fault diagnosis module 103 in the system is also used to obtain various types of ship electromechanical equipment that have an associated relationship based on the ship electromechanical equipment knowledge graph; obtain historical fault information of various types of ship electromechanical equipment that have an associated relationship and are in the same cabin, and determine the fault interval duration between various types of ship electromechanical equipment that have an associated relationship; for ship electromechanical equipment whose current fault diagnosis result is a fault, after the corresponding fault interval duration, detect whether the fault diagnosis results of other ship electromechanical equipment that have an associated relationship and are in the same cabin are faulty, and if not, select the corresponding type of standby fault diagnosis model library of other ship electromechanical equipment that have an associated relationship and are in the same cabin to replace the corresponding type of fault diagnosis model library of other ship electromechanical equipment that have an associated relationship and are in the same cabin for fault diagnosis at a subsequent time.

[0099] The ship electromechanical equipment fault display module 104 is also used to obtain typical fault repair times of various types of ship electromechanical equipment based on expert opinions and suggestions; check the fault diagnosis results of the faulty ship electromechanical equipment currently selected according to the fault diagnosis results of each ship electromechanical equipment and the preset time away from the corresponding fault repair time; if the fault diagnosis result still does not find a faulty electromechanical equipment, the location and fault content of the faulty ship electromechanical equipment are highlighted.

[0100] The embodiment of the present application also discloses a computer-readable storage medium.

[0101] Specifically, the computer-readable storage medium stores a computer program that can be loaded by a processor and executed such as the above-mentioned ship equipment operation status monitoring and fault diagnosis method. The computer-readable storage medium includes, for example: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0102] The embodiment of the present application also discloses a computer device.

[0103] Specifically, the computer device includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute the above-mentioned ship equipment operation status monitoring and fault diagnosis method.

[0104] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for monitoring the operating status and diagnosing faults of ship equipment, characterized in that: include: Collecting ship electromechanical equipment operation data and ship electromechanical equipment information and performing corresponding association processing; the equipment information includes the type of electromechanical equipment, the unique identification of the electromechanical equipment and the location of the electromechanical equipment; Classify and process the operation data of the ship's electromechanical equipment belonging to different types according to the electromechanical equipment type information; A fault diagnosis model library is constructed for each type of ship electromechanical equipment, and each type of fault diagnosis model library includes several typical fault diagnosis models of the ship electromechanical equipment of that type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment is input into the corresponding type of fault diagnosis model library one by one to perform fault diagnosis, and obtain the fault diagnosis result of each ship electromechanical equipment; According to the fault diagnosis results of each ship electromechanical equipment, the faulty ship electromechanical equipment is screened out, and the location and fault content of the faulty ship electromechanical equipment are displayed; Also includes: When multiple ship electromechanical equipment of the same type fail to diagnose faults in a continuous period of time, the corresponding type of spare fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent moment; each type of spare fault diagnosis model library includes several typical fault diagnosis models of ship electromechanical equipment of this type constructed by using intelligent algorithms different from each type of fault diagnosis model library; When a certain type of single ship electromechanical equipment fails to diagnose a fault for a continuous period of time, the collection device is replaced at a later time to collect the operation data of the single ship electromechanical equipment; Also includes: Determine the average fault diagnosis time of each type of ship electromechanical equipment according to the historical diagnosis information of each type of ship electromechanical equipment; When multiple ship electromechanical equipment of the same type have a preset number of fault diagnosis timeouts within a continuous period of time, the corresponding type of standby fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at subsequent moments; When a certain type of single ship electromechanical equipment has a preset number of fault diagnosis timeouts within a continuous period of time, the collection device is replaced at a later time to collect the operation data of the single ship electromechanical equipment; Also includes: According to the ship electromechanical equipment knowledge graph, various types of ship electromechanical equipment with associated relationships are obtained; Obtain historical fault information of various types of ship electromechanical equipment that are associated and located in the same cabin, and determine the fault interval duration between various types of ship electromechanical equipment that are associated; For the ship electromechanical equipment whose current fault diagnosis result is faulty, after the corresponding fault interval time, detect whether the fault diagnosis results of other ship electromechanical equipment that are associated and in the same cabin are faulty, if not, then at a subsequent moment, select the corresponding type of standby fault diagnosis model library of other ship electromechanical equipment that are associated and in the same cabin to replace the corresponding type of fault diagnosis model library of other ship electromechanical equipment that are associated and in the same cabin for fault diagnosis; and also include: Classify and process the operation data of the ship's electromechanical equipment belonging to different compartments according to the location of the electromechanical equipment; The step of inputting the operation data of each type of ship electromechanical equipment into the fault diagnosis model library of the corresponding type one by one according to the unique identification of the electromechanical equipment for fault diagnosis comprises: inputting the operation data of each type of ship electromechanical equipment in each cabin one by one according to the unique identification of the electromechanical equipment for fault diagnosis into the fault diagnosis model library of the corresponding cabin of the corresponding type, wherein each cabin is provided with the same fault diagnosis model library; and further comprising: Filter out the currently non-faulty ship electromechanical equipment according to the fault diagnosis result of each ship electromechanical equipment; A fault prediction model library is constructed for each type of ship electromechanical equipment, and each type of fault prediction model library includes: a number of typical fault prediction models of the ship electromechanical equipment of this type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment without failure is input into the corresponding type of fault risk prediction model library one by one to perform fault risk prediction, and obtain the fault risk prediction result of each ship electromechanical equipment; the fault risk prediction result includes no risk, low risk, medium risk and high risk; Screen out high-risk ship electromechanical equipment according to the fault prediction result of each ship electromechanical equipment, and judge whether there is any high-risk ship electromechanical equipment screened out in the ship electromechanical equipment document to be maintained within a specific time from the current moment. If so, no operation is required; otherwise, add the high-risk ship electromechanical equipment to the ship electromechanical equipment document to be maintained and the maintenance time is within the specific time from the current moment; and also include: Obtain typical repair time for mechanical and electrical equipment failures of various types of ships based on expert opinions and suggestions; Check the fault diagnosis results of each ship electromechanical equipment and select the fault diagnosis results of the faulty ship electromechanical equipment within a preset time from the corresponding fault repair time. If the fault diagnosis result still does not find the faulty electromechanical equipment, the location and fault content of the faulty ship electromechanical equipment are highlighted.

2. A system for monitoring the operating status and diagnosing faults of ship equipment, characterized in that: include: The ship electromechanical equipment data acquisition module is used to collect the ship electromechanical equipment operation data and ship electromechanical equipment information and perform corresponding association processing; the equipment information includes the type of electromechanical equipment, the unique identification of the electromechanical equipment and the location of the electromechanical equipment; The ship electromechanical equipment data classification module is used to classify and process the operation data of ship electromechanical equipment belonging to different types according to the type information of the electromechanical equipment; it is also used to classify and process the operation data of ship electromechanical equipment belonging to different compartments according to the location of the electromechanical equipment; The step of inputting the operation data of each type of ship electromechanical equipment into the fault diagnosis model library of the corresponding type one by one according to the unique identification of the electromechanical equipment for fault diagnosis comprises: inputting the operation data of each type of ship electromechanical equipment in each cabin one by one according to the unique identification of the electromechanical equipment for fault diagnosis into the fault diagnosis model library of the corresponding cabin of the corresponding type, wherein each cabin is provided with the same fault diagnosis model library; The ship electromechanical equipment fault diagnosis module is used to build a fault diagnosis model library for each type of ship electromechanical equipment. Each type of fault diagnosis model library includes several typical fault diagnosis models of the ship electromechanical equipment of that type; according to the unique identification of the electromechanical equipment, the operation data of each type of ship electromechanical equipment is input into the corresponding type of fault diagnosis model library one by one to perform fault diagnosis, and obtain the fault diagnosis result of each ship electromechanical equipment; It is also used for selecting a corresponding type of spare fault diagnosis model library to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent time when multiple ship electromechanical equipment belonging to the same type fail to diagnose faults for a continuous period of time; each type of spare fault diagnosis model library includes a number of typical fault diagnosis models of ship electromechanical equipment of this type constructed by using an intelligent algorithm different from each type of fault diagnosis model library; when a single ship electromechanical equipment of a certain type fails to diagnose faults for a continuous period of time, replacing the collection device at a subsequent time to collect the operation data of the single ship electromechanical equipment; It is also used to determine the average fault diagnosis time of each type of ship electromechanical equipment according to the historical diagnosis information of each type of ship electromechanical equipment; when multiple ship electromechanical equipment belonging to the same type have a preset number of fault diagnosis timeouts within a continuous period, the corresponding type of standby fault diagnosis model library is selected to replace the corresponding type of fault diagnosis model library for fault diagnosis at a subsequent time; when a single ship electromechanical equipment of a certain type has a preset number of fault diagnosis timeouts within a continuous period, the collection device is replaced at a subsequent time to collect the operation data of the single ship electromechanical equipment; It is also used to obtain various types of ship electromechanical equipment with associated relationships according to the ship electromechanical equipment knowledge graph; obtain historical fault information of various types of ship electromechanical equipment with associated relationships and located in the same cabin, and determine the fault interval duration between various types of ship electromechanical equipment with associated relationships; for ship electromechanical equipment whose current fault diagnosis result is faulty, detect whether the fault diagnosis results of other ship electromechanical equipment with associated relationships and located in the same cabin are faulty after the corresponding fault interval duration, and if not, select the corresponding type of standby fault diagnosis model library of other ship electromechanical equipment with associated relationships and located in the same cabin to replace the corresponding type of fault diagnosis model library of other ship electromechanical equipment with associated relationships and located in the same cabin for fault diagnosis at a subsequent moment; The ship electromechanical equipment fault display module is used to screen out the faulty ship electromechanical equipment according to the fault diagnosis results of each ship electromechanical equipment, and display the location and fault content of the faulty ship electromechanical equipment; it is also used to obtain the typical fault repair time of various types of ship electromechanical equipment according to expert opinions and suggestions; check the fault diagnosis results of the faulty ship electromechanical equipment currently screened out according to the fault diagnosis results of each ship electromechanical equipment and the preset time from the corresponding fault repair time, if the fault diagnosis results still do not show the faulty electromechanical equipment, then highlight the location and fault content of the faulty ship electromechanical equipment; The ship electromechanical equipment fault prediction module is used to screen out the ship electromechanical equipment that is not currently faulty according to the fault diagnosis result of each ship electromechanical equipment; construct a fault prediction model library for each type of ship electromechanical equipment, and each type of fault prediction model library includes: a number of typical fault prediction models for ship electromechanical equipment of this type; input the operation data of each type of ship electromechanical equipment that is not faulty into the corresponding type of fault risk prediction model library one by one according to the unique identification of the electromechanical equipment to perform fault risk prediction, and obtain the fault risk prediction result of each ship electromechanical equipment; the fault risk prediction result includes no risk, low risk, medium risk and high risk; according to the fault prediction result of each ship electromechanical equipment, screen out the high-risk ship electromechanical equipment, and judge whether there is the screened high-risk ship electromechanical equipment in the ship electromechanical equipment document to be maintained within a specific time from the current moment. If so, no operation is required; otherwise, the high-risk ship electromechanical equipment is set to be added to the ship electromechanical equipment document to be maintained and the time to be maintained is within a specific time from the current moment.

3. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to claim 1.

4. A computer device, characterized in that: The computer device comprises a memory, a processor and a program stored and executable on the memory, and the program implements the steps of the method according to claim 1 when executed by the processor.

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