Ship vibration monitoring method and system based on data model technology

Abstract

The invention provides a ship vibration monitoring method and system based on a data model technology. The ship vibration monitoring method comprises the steps that monitoring information of a ship is collected, the monitoring information is processed through the data model technology, a monitoring model of the ship is constructed, the monitoring model is operated, and the operation state corresponding to each operation device in the ship is obtained; performing health assessment on the ship based on the operation state, determining a plurality of abnormal vibration characteristics of the ship according to the monitoring model when the ship does not accord with a specified health level, and determining an abnormal reason corresponding to each abnormal vibration characteristic, and generating a ship maintenance scheme for the ship according to each abnormal vibration characteristic and the corresponding abnormal reason, and displaying the ship maintenance scheme, so that the operation state and health condition of equipment and a system in a cabin can be analyzed and evaluated, and support is provided for decisions in the aspects of use, operation, control, overhaul, management and the like of the equipment and the system.

Description

Technical Field

[0001] The present invention relates to the technical field of ship monitoring, and in particular to a ship vibration monitoring method and system based on data model technology. Background Art

[0002] Ships refer to large water surface vehicles used for water transportation, usually for the transportation of goods and personnel. As an important water transportation vehicle, they carry the important task of global trade and personnel transportation. The safety of ship operation is related to the life safety of passengers. Some accidents may occur during navigation, causing the ship to be unable to work according to the established process. Generally speaking, strong vibrations often occur before various accidents, but some vibrations are caused by the forward movement of the hull itself. Since existing ships cannot accurately distinguish whether the vibrations are caused by accidents or vibrations of the hull itself, a series of measures have been taken, such as good structural design, effective shock absorption system, regular maintenance and inspection, etc., to ensure the safety and stability of ships under various transportation conditions. However, it can only achieve a certain preventive effect. In fact, the crew still cannot distinguish the cause of the vibration. Now there is an urgent need for a method that can identify various vibrations of ships and make maintenance decisions.

[0003] Therefore, the present invention provides a ship vibration monitoring method and system based on data model technology. Summary of the invention

[0004] The present invention provides a ship vibration monitoring method and system based on data model technology, which can analyze and evaluate the operating status and health status of equipment and systems in the engine room, and provide support for decision-making in the use, operation and control, maintenance, and management of equipment and systems.

[0005] The present invention provides a ship vibration monitoring method based on data model technology, comprising:

[0006] Step 1: Collect monitoring information of the ship, process the monitoring information using data model technology, and build a monitoring model of the ship;

[0007] Step 2: running the monitoring model to obtain the operating status corresponding to each operating equipment in the ship, and performing a health assessment on the ship based on the operating status;

[0008] Step 3: When the ship does not meet the prescribed health level, determine a number of abnormal vibration characteristics of the ship according to the monitoring model, and determine the abnormal cause corresponding to each abnormal vibration characteristic;

[0009] Step 4: Generate and display a ship maintenance plan for the ship according to each abnormal vibration feature and the corresponding abnormal cause.

[0010] In one practicable manner,

[0011] The step 1 comprises:

[0012] Step 11: respectively obtain the real-time device information corresponding to each running device in the ship, and construct the comprehensive real-time information of the ship according to the real-time device information and the internal structure of the ship;

[0013] Step 12: deriving the real-time and accurate route of the ship based on the comprehensive real-time information, and finding the corresponding water condition information of the waters passed by the ship at different times;

[0014] Step 13: construct a data model of the ship, and input the comprehensive real-time information and the water condition information into the data model to establish a supervision model of the ship.

[0015] In one practicable manner,

[0016] The step 13 comprises:

[0017] Step 131: constructing a data model of the ship according to the internal structure of the ship in combination with data model technology, time-aligning the first timestamp corresponding to the comprehensive real-time information and the second timestamp corresponding to the water condition information, and obtaining comprehensive real-time sub-information and water condition sub-information containing alignment features;

[0018] Step 132: Generate a water flow influencing factor according to each of the water condition sub-information, map each of the comprehensive real-time sub-information to the data model, obtain a plurality of model change features generated by the data model during the mapping process, and construct the dynamic information of the ship according to each of the model change features;

[0019] Step 133: using each of the water flow influencing factors to adjust the dynamic information respectively, eliminating the external influence components contained in the dynamic information, obtaining the self-operating information of the ship, reorganizing the data model according to the self-operating information, and generating a monitoring model of the ship.

[0020] In one practicable manner,

[0021] The step 2 comprises:

[0022] Step 21: running the monitoring model to obtain the operating status corresponding to each operating device in the ship, constructing an overall operating characteristic map of the ship according to the operating status, decomposing the overall operating characteristic map into a plurality of unit characteristics, performing data description for each of the unit characteristics, and obtaining a plurality of monitoring data of the ship;

[0023] Step 22: establishing data columns of corresponding specifications based on the data periods corresponding to each of the supervisory data, dividing each of the supervisory data into a plurality of periodic supervisory sub-data, and inputting each of the periodic supervisory sub-data into corresponding data columns to generate periodic data columns corresponding to each of the supervisory data;

[0024] Step 23: synchronously sampling different periods in each of the periodic data columns to obtain a number of synchronous data corresponding to each of the periodic data, regarding a number of synchronous data corresponding to the same sampling position as same-cluster data, and performing similarity analysis on each of the same-cluster data to obtain similar features corresponding to each of the same-cluster data;

[0025] Step 24: Count a number of similar features corresponding to each of the periodic data columns to establish a periodic stable state corresponding to the periodic data column, amplify each of the periodic stable states and map them to the monitoring model, obtain the impact characteristics of each of the periodic stable states on the operation of the ship, and perform a health assessment on the ship based on the several operational impact characteristics.

[0026] In one practicable manner,

[0027] The step 3 comprises:

[0028] Step 31: when the ship does not meet the prescribed health level, a health assessment result is obtained, and a number of abnormal presentation characteristics of the ship are determined according to the health assessment result, and equipment tracing is performed for each of the abnormal presentation characteristics to determine a number of abnormally operating equipment;

[0029] Step 32: Locate the model position corresponding to each abnormally operating device in the monitoring model, and analyze the Mahalanobis distance between different historical data of each model position within a specified time period and the corresponding effective operating range based on the effective operating range of each abnormally operating device, to obtain a distance table corresponding to each abnormally operating device;

[0030] Step 33: Determine the vibration duration and vibration frequency corresponding to each abnormal operation device based on the distance table, construct a visual graph according to the target distance table corresponding to a number of target abnormal operation devices whose vibration duration / vibration frequency do not meet the preset safety vibration conditions, establish visual slope change information corresponding to the abnormal operation device according to the visual graph, and generate abnormal vibration features corresponding to the abnormal operation device;

[0031] Step 34: Based on each of the abnormal vibration characteristics, search for several vibration causes of the corresponding abnormally operating equipment, select the vibration causes corresponding to different abnormally operating equipment and combine them to obtain several combined causes, input each of the combined causes into the monitoring model to obtain a simulated vibration characteristic, extract the target combined cause corresponding to the simulated vibration characteristic that is the same as the abnormal vibration characteristic, and determine the abnormal cause corresponding to each of the abnormal vibration characteristics.

[0032] In one practicable manner,

[0033] The step 4 comprises:

[0034] Step 41: Retrieve corresponding preset decision means according to the abnormal cause, establish a maintenance purpose according to each abnormal vibration feature, perform maintenance adjustment on the preset decision means according to the maintenance purpose, and generate a plurality of purpose decision means;

[0035] Step 42: using the monitoring model to simulate each of the objective decision means, obtaining the implementation process corresponding to each of the objective decision means, and constructing a number of feasible decision means according to the implementation key points corresponding to each of the implementation processes;

[0036] Step 43: Generate a ship maintenance plan based on the feasible decision-making means and display it.

[0037] In one practicable manner,

[0038] Also includes:

[0039] The monitoring information is transmitted to the remote management platform and the ship management platform for real-time display.

[0040] In one practicable manner,

[0041] Also includes:

[0042] Several historical abnormal causes of the ship are counted, and a preventive maintenance plan for the ship is constructed and displayed.

[0043] The present invention provides a ship vibration monitoring system based on data model technology, comprising:

[0044] A model building module, used to collect monitoring information of the ship, process the monitoring information using data model technology, and build a monitoring model of the ship;

[0045] A health assessment module, used to run the monitoring model, obtain the operating status corresponding to each operating equipment in the ship, and perform a health assessment on the ship based on the operating status;

[0046] an abnormality analysis module, for determining, when the ship does not meet a prescribed health level, a plurality of abnormal vibration characteristics of the ship according to the monitoring model, and respectively determining an abnormal cause corresponding to each abnormal vibration characteristic;

[0047] The plan building module is used to generate and display a ship maintenance plan for the ship according to each abnormal vibration feature and the corresponding abnormal cause.

[0048] In one practicable manner,

[0049] The model building module comprises:

[0050] A first construction unit is used to respectively obtain the real-time device information corresponding to each running device in the ship, and construct the comprehensive real-time information of the ship according to the real-time device information combined with the internal structure of the ship;

[0051] A second construction unit is used to deduce the real-time and accurate route of the ship according to the comprehensive real-time information, and find the water condition information corresponding to the water area passed by the ship at different times;

[0052] The third construction unit is used to construct a data model of the ship, and input the comprehensive real-time information and the water condition information into the data model to establish a supervision model of the ship.

[0053] The achievable beneficial effects of the above technical solution are: by collecting monitoring information of the ship, using data model technology to build a monitoring model, and then running the monitoring model to determine the status of each operating equipment in the ship, so as to conduct a health assessment of the ship, and then use the monitoring model to construct the abnormal vibration characteristics of the ship when the health level of the ship is too low, and at the same time determine the abnormal cause corresponding to each abnormal feature, and finally, a ship maintenance plan can be constructed according to the abnormal cause and abnormal vibration characteristics. In this way, the crew can maintain the ship according to the ship maintenance plan. If they encounter danger, they can minimize the harm under the guidance of the ship maintenance plan. If they encounter ordinary vibrations, they can adjust the ship's operating speed and other parameters according to the ship maintenance plan to reduce vibrations, which effectively improves the crew's problem-solving ability and reduces the probability of accidental damage.

[0054] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0055] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0057] Figure 1 A schematic diagram of the working process of a ship vibration monitoring method based on data model technology in an embodiment of the present invention;

[0058] Figure 2 The figure is a schematic diagram of the composition of a ship vibration monitoring system based on data model technology in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0060] Example 1

[0061] This embodiment provides a ship vibration monitoring method and system based on data model technology, such as Figure 1 As shown, including:

[0062] Step 1: Collect monitoring information of the ship, process the monitoring information using data model technology, and build a monitoring model of the ship;

[0063] Step 2: running the monitoring model to obtain the operating status corresponding to each operating equipment in the ship, and performing a health assessment on the ship based on the operating status;

[0064] Step 3: When the ship does not meet the prescribed health level, determine a number of abnormal vibration characteristics of the ship according to the monitoring model, and determine the abnormal cause corresponding to each abnormal vibration characteristic;

[0065] Step 4: Generate and display a ship maintenance plan for the ship according to each abnormal vibration feature and the corresponding abnormal cause.

[0066] In this example, there are five health levels. The higher the level, the healthier the ship. The specified health level is level 3. When a ship does not meet the specified health level, it means that the health level of the ship is level 3, level 4, or level 5.

[0067] In this example, an abnormal vibration feature may correspond to one or more abnormal causes;

[0068] In this example, the ship maintenance plan refers to means for maintaining the operation of the ship and eliminating the vibration of the ship.

[0069] The working principle and beneficial effects of the above technical solution are as follows: by collecting monitoring information of the ship, using data model technology to build a monitoring model, and then running the monitoring model to determine the status of each operating equipment in the ship, so as to conduct a health assessment of the ship, and then use the monitoring model to construct the abnormal vibration characteristics of the ship when the health level of the ship is too low, and at the same time determine the abnormal cause corresponding to each abnormal feature, and finally, a ship maintenance plan can be constructed according to the abnormal cause and abnormal vibration characteristics. In this way, the crew can maintain the ship according to the ship maintenance plan. If they encounter danger, they can minimize the harm under the guidance of the ship maintenance plan. If they encounter ordinary vibrations, they can adjust the ship's operating speed and other parameters according to the ship maintenance plan to reduce vibrations, which effectively improves the crew's problem-solving ability and reduces the probability of accidental damage.

[0070] Example 2

[0071] On the basis of Example 1, the ship vibration monitoring method based on data model technology, the step 1 comprises:

[0072] Step 11: respectively obtain the real-time device information corresponding to each running device in the ship, and construct the comprehensive real-time information of the ship according to the real-time device information and the internal structure of the ship;

[0073] Step 12: deriving the real-time and accurate route of the ship based on the comprehensive real-time information, and finding the corresponding water condition information of the waters passed by the ship at different times;

[0074] Step 13: construct a data model of the ship, and input the comprehensive real-time information and the water condition information into the data model to establish a supervision model of the ship.

[0075] In this example, the real-time device information refers to the information generated by the running device during operation;

[0076] In this example, comprehensive real-time information means a summary of real-time information of various aspects in the ship;

[0077] In this example, the water condition information includes water flow direction and water flow speed.

[0078] The working principle and beneficial effects of the above technical solution are as follows: by acquiring the real-time equipment information of each operating equipment in the ship in real time to construct the comprehensive real-time information of the ship, the real-time and accurate route of the ship is derived, and the water condition information of the waters through which the ship passes at different times can be determined under the effect of the route, so as to input the comprehensive real-time information and water condition information into the channel and the set data model, and generate a supervision model of the ship, in which the work of the ship can be fully supervised and the vibration of the ship can be monitored in real time.

[0079] Example 3

[0080] On the basis of Example 2, in the ship vibration monitoring method based on data model technology, step 13 includes:

[0081] Step 131: constructing a data model of the ship according to the internal structure of the ship in combination with data model technology, time-aligning the first timestamp corresponding to the comprehensive real-time information and the second timestamp corresponding to the water condition information, and obtaining comprehensive real-time sub-information and water condition sub-information containing alignment features;

[0082] Step 132: Generate a water flow influencing factor according to each of the water condition sub-information, map each of the comprehensive real-time sub-information to the data model, obtain a plurality of model change features generated by the data model during the mapping process, and construct the dynamic information of the ship according to each of the model change features;

[0083] Step 133: using each of the water flow influencing factors to adjust the dynamic information respectively, eliminating the external influence components contained in the dynamic information, obtaining the self-operating information of the ship, reorganizing the data model according to the self-operating information, and generating a monitoring model of the ship.

[0084] In this example, the first timestamp indicates the time when each unit of information in the comprehensive real-time information is generated;

[0085] In this example, the second timestamp indicates the time when each unit of information in the water condition information is generated;

[0086] In this example, the water flow impact factor represents the impact of the water flow on the ship;

[0087] In this example, the dynamic information represents all dynamics of the ship during operation.

[0088] The working principle and beneficial effects of the above technical solution are as follows: In order to further ensure the accuracy of the monitoring model, the ship's data model is constructed by combining the in-ship structure with the model technology, and the comprehensive real-time information and water condition information are time-aligned using the timestamp, thereby screening the information to a certain extent and avoiding the interference of redundant information on the model. The water condition sub-information is then used to construct the water flow influencing factor, and then the model change characteristics of the data model are constructed by mapping means, and the dynamic information of the ship is constructed from the side. The dynamic information is then adjusted by the water flow influencing factor, eliminating the influencing component, leaving only the ship's self-operating information, and finally the data model is restructured to generate a monitoring model for the ship. In this way, the influence of external factors on the ship's progress can be eliminated, and a model that is completely consistent with the ship's status can be constructed.

[0089] Example 4

[0090] On the basis of Example 1, the ship vibration monitoring method based on data model technology, the step 2 comprises:

[0091] Step 21: running the monitoring model to obtain the operating status corresponding to each operating device in the ship, constructing an overall operating characteristic map of the ship according to the operating status, decomposing the overall operating characteristic map into a plurality of unit characteristics, performing data description for each of the unit characteristics, and obtaining a plurality of monitoring data of the ship;

[0092] Step 22: establishing data columns of corresponding specifications based on the data periods corresponding to each of the supervisory data, dividing each of the supervisory data into a plurality of periodic supervisory sub-data, and inputting each of the periodic supervisory sub-data into corresponding data columns to generate periodic data columns corresponding to each of the supervisory data;

[0093] Step 23: synchronously sampling different periods in each of the periodic data columns to obtain a number of synchronous data corresponding to each of the periodic data, regarding a number of synchronous data corresponding to the same sampling position as same-cluster data, and performing similarity analysis on each of the same-cluster data to obtain similar features corresponding to each of the same-cluster data;

[0094] Step 24: Count a number of similar features corresponding to each of the periodic data columns to establish a periodic stable state corresponding to the periodic data column, amplify each of the periodic stable states and map them to the monitoring model, obtain the impact characteristics of each of the periodic stable states on the operation of the ship, and perform a health assessment on the ship based on the several operational impact characteristics.

[0095] In this example, the overall operation characteristic map represents the form of expressing the operation status and characteristics of the ship by means of graphical expression;

[0096] In this example, the unit feature represents the smallest feature that can represent a certain operating condition during the operation of the ship;

[0097] In this example, one periodic data column corresponds to one supervision data;

[0098] In this example, the same cluster data refers to the data corresponding to the same sampling position;

[0099] In this example, the more stable the periodic steady state is, the smaller the operational impact characteristics are.

[0100] The working principle and beneficial effects of the above technical solution are as follows: the monitoring model is used to construct the operating status of the operating equipment, so as to establish the overall operating characteristic map of the ship. The data description of each unit feature in the overall operating characteristic map is performed by decomposition means, and a number of supervision data of the ship are obtained. The supervision data are then segmented according to the period and rearranged to generate a periodic data column for each supervision data. The periodic data column is then sampled, and the collected synchronous data is analyzed for similarity to establish similar features between different clustered data. Then, the periodic stable state of the periodic data column is constructed. Finally, the operating influencing features of the ship are determined by mapping means, thereby realizing health assessment. In this way, the data can be analyzed by periodicity, and health assessment can be realized by combining the differences between the data.

[0101] Example 5

[0102] On the basis of Example 1, in the ship vibration monitoring method based on data model technology, step 3 comprises:

[0103] Step 31: when the ship does not meet the prescribed health level, a health assessment result is obtained, and a number of abnormal presentation characteristics of the ship are determined according to the health assessment result, and equipment tracing is performed for each of the abnormal presentation characteristics to determine a number of abnormally operating equipment;

[0104] Step 32: Locate the model position corresponding to each abnormally operating device in the monitoring model, and analyze the Mahalanobis distance between different historical data of each model position within a specified time period and the corresponding effective operating range based on the effective operating range of each abnormally operating device, to obtain a distance table corresponding to each abnormally operating device;

[0105] Step 33: Determine the vibration duration and vibration frequency corresponding to each abnormal operation device based on the distance table, construct a visual graph according to the target distance table corresponding to a number of target abnormal operation devices whose vibration duration / vibration frequency do not meet the preset safety vibration conditions, establish visual slope change information corresponding to the abnormal operation device according to the visual graph, and generate abnormal vibration features corresponding to the abnormal operation device;

[0106] Step 34: Based on each of the abnormal vibration characteristics, search for several vibration causes of the corresponding abnormally operating equipment, select the vibration causes corresponding to different abnormally operating equipment and combine them to obtain several combined causes, input each of the combined causes into the monitoring model to obtain a simulated vibration characteristic, extract the target combined cause corresponding to the simulated vibration characteristic that is the same as the abnormal vibration characteristic, and determine the abnormal cause corresponding to each of the abnormal vibration characteristics.

[0107] In this example, the Mahalanobis distance represents the distance between the historical data and the valid operating range;

[0108] In this example, the preset safe vibration condition means that the vibration duration does not exceed 30 seconds and the vibration frequency does not exceed 500 Hz;

[0109] In this example, the visible slope change information indicates the slope change that can be directly read.

[0110] The working principle and beneficial effects of the above technical solution are as follows: when the health level of the ship is too low, the abnormal presentation characteristics of the ship are constructed to trace the equipment, and several abnormally operating equipment are determined. Then, the abnormally operating equipment is located in the monitoring model, and a distance table is constructed by calculating the Haranobis distance between each historical data of the abnormally operating equipment and the effective operating range, thereby determining the vibration duration and vibration frequency of the abnormally operating equipment, screening out the target abnormally operating equipment that does not meet the preset safety vibration conditions, constructing the abnormal vibration characteristics of the abnormally operating equipment, and then finding various vibration causes, combining the vibration causes, and then using the monitoring model to simulate the combined causes, and determining the abnormal cause corresponding to each abnormal vibration. In this way, the abnormal causes of the ship can be analyzed, and a basis for subsequent maintenance decisions can be provided.

[0111] Example 6

[0112] Based on Example 1, a ship vibration monitoring method based on data model technology, said step 4 includes:

[0113] Step 41: Retrieve corresponding preset decision means according to the abnormal cause, establish a maintenance purpose according to each abnormal vibration feature, perform maintenance adjustment on the preset decision means according to the maintenance purpose, and generate a plurality of purpose decision means;

[0114] Step 42: using the monitoring model to simulate each of the objective decision means, obtaining the implementation process corresponding to each of the objective decision means, and constructing a number of feasible decision means according to the implementation key points corresponding to each of the implementation processes;

[0115] Step 43: Generate a ship maintenance plan based on the feasible decision-making means and display it.

[0116] The working principle and beneficial effects of the above technical solution are as follows: the maintenance purpose is determined by abnormal vibration characteristics, the existing preset decision-making means are adjusted using the maintenance purpose, and then the decision-making means are simulated using the monitoring model to construct a ship maintenance plan to provide effective guidance for the crew to deal with shipboard faults.

[0117] Example 7

[0118] On the basis of embodiment 1, the ship vibration monitoring method based on data model technology further includes:

[0119] The monitoring information is transmitted to the remote management platform and the ship management platform for real-time display.

[0120] Example 8

[0121] On the basis of embodiment 1, the ship vibration monitoring method based on data model technology further includes:

[0122] Several historical abnormal causes of the ship are counted, and a preventive maintenance plan for the ship is constructed and displayed.

[0123] Example 9

[0124] This example provides a ship vibration monitoring system based on data model technology. Figure 2 As shown, including:

[0125] A model building module, used to collect monitoring information of the ship, process the monitoring information using data model technology, and build a monitoring model of the ship;

[0126] A health assessment module, used to run the monitoring model, obtain the operating status corresponding to each operating equipment in the ship, and perform a health assessment on the ship based on the operating status;

[0127] an abnormality analysis module, for determining, when the ship does not meet a prescribed health level, a plurality of abnormal vibration characteristics of the ship according to the monitoring model, and respectively determining an abnormal cause corresponding to each abnormal vibration characteristic;

[0128] The plan building module is used to generate and display a ship maintenance plan for the ship according to each abnormal vibration feature and the corresponding abnormal cause.

[0129] In this example, there are five health levels. The higher the level, the healthier the ship. The specified health level is level 3. When a ship does not meet the specified health level, it means that the health level of the ship is level 3, level 4, or level 5.

[0130] In this example, an abnormal vibration feature may correspond to one or more abnormal causes;

[0131] In this example, the ship maintenance plan refers to means for maintaining the operation of the ship and eliminating the vibration of the ship.

[0132] The working principle and beneficial effects of the above technical solution are as follows: by collecting monitoring information of the ship, using data model technology to build a monitoring model, and then running the monitoring model to determine the status of each operating equipment in the ship, so as to conduct a health assessment of the ship, and then use the monitoring model to construct the abnormal vibration characteristics of the ship when the health level of the ship is too low, and at the same time determine the abnormal cause corresponding to each abnormal feature, and finally, a ship maintenance plan can be constructed according to the abnormal cause and abnormal vibration characteristics. In this way, the crew can maintain the ship according to the ship maintenance plan. If they encounter danger, they can minimize the harm under the guidance of the ship maintenance plan. If they encounter ordinary vibrations, they can adjust the ship's operating speed and other parameters according to the ship maintenance plan to reduce vibrations, which effectively improves the crew's problem-solving ability and reduces the probability of accidental damage.

[0133] Example 10

[0134] On the basis of Example 9, in the ship vibration monitoring system based on data model technology, the model building module includes:

[0135] A first construction unit is used to respectively obtain the real-time device information corresponding to each running device in the ship, and construct the comprehensive real-time information of the ship according to the real-time device information combined with the internal structure of the ship;

[0136] A second construction unit is used to deduce the real-time and accurate route of the ship according to the comprehensive real-time information, and find the water condition information corresponding to the water area passed by the ship at different times;

[0137] The third construction unit is used to construct a data model of the ship, and input the comprehensive real-time information and the water condition information into the data model to establish a supervision model of the ship.

[0138] In this example, the real-time device information refers to the information generated by the running device during operation;

[0139] In this example, comprehensive real-time information means a summary of real-time information of various aspects in the ship;

[0140] In this example, the water condition information includes water flow direction and water flow speed.

[0141] The working principle and beneficial effects of the above technical solution are as follows: by acquiring the real-time equipment information of each operating equipment in the ship in real time to construct the comprehensive real-time information of the ship, the real-time and accurate route of the ship is derived, and the water condition information of the waters through which the ship passes at different times can be determined under the effect of the route, so as to input the comprehensive real-time information and water condition information into the channel and the set data model, and generate a supervision model of the ship, in which the work of the ship can be fully supervised and the vibration of the ship can be monitored in real time.

[0142] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A ship vibration monitoring method based on data model technology, characterized in that: include: Step 1: Collect monitoring information of the ship, process the monitoring information using data model technology, and build a monitoring model of the ship; Step 2: running the monitoring model to obtain the operating status corresponding to each operating equipment in the ship, and performing a health assessment on the ship based on the operating status; Step 3: When the ship does not meet the prescribed health level, determine a number of abnormal vibration characteristics of the ship according to the monitoring model, and determine the abnormal cause corresponding to each abnormal vibration characteristic; Step 4: Generate and display a ship maintenance plan for the ship according to each abnormal vibration feature and the corresponding abnormal cause.

2. A ship vibration monitoring method based on data model technology as claimed in claim 1, characterized in that: The step 1 comprises: Step 11: respectively obtain the real-time device information corresponding to each running device in the ship, and construct the comprehensive real-time information of the ship according to the real-time device information and the internal structure of the ship; Step 12: deriving the real-time and accurate route of the ship based on the comprehensive real-time information, and finding the corresponding water condition information of the waters passed by the ship at different times; Step 13: construct a data model of the ship, and input the comprehensive real-time information and the water condition information into the data model to establish a supervision model of the ship.

3. A ship vibration monitoring method based on data model technology as claimed in claim 2, characterized in that: The step 13 comprises: Step 131: constructing a data model of the ship according to the internal structure of the ship in combination with data model technology, time-aligning the first timestamp corresponding to the comprehensive real-time information and the second timestamp corresponding to the water condition information, and obtaining comprehensive real-time sub-information and water condition sub-information containing alignment features; Step 132: Generate a water flow influencing factor according to each of the water condition sub-information, map each of the comprehensive real-time sub-information to the data model, obtain a plurality of model change features generated by the data model during the mapping process, and construct the dynamic information of the ship according to each of the model change features; Step 133: using each of the water flow influencing factors to adjust the dynamic information respectively, eliminating the external influence components contained in the dynamic information, obtaining the self-operating information of the ship, reorganizing the data model according to the self-operating information, and generating a monitoring model of the ship.

4. A ship vibration monitoring method based on data model technology as claimed in claim 1, characterized in that: The step 2 comprises: Step 21: running the monitoring model to obtain the operating status corresponding to each operating device in the ship, constructing an overall operating characteristic map of the ship according to the operating status, decomposing the overall operating characteristic map into a plurality of unit characteristics, performing data description for each of the unit characteristics, and obtaining a plurality of monitoring data of the ship; Step 22: establishing data columns of corresponding specifications based on the data periods corresponding to each of the supervisory data, dividing each of the supervisory data into a plurality of periodic supervisory sub-data, and inputting each of the periodic supervisory sub-data into corresponding data columns to generate periodic data columns corresponding to each of the supervisory data; Step 23: synchronously sampling different periods in each of the periodic data columns to obtain a number of synchronous data corresponding to each of the periodic data, regarding a number of synchronous data corresponding to the same sampling position as same-cluster data, and performing similarity analysis on each of the same-cluster data to obtain similar features corresponding to each of the same-cluster data; Step 24: Count a number of similar features corresponding to each of the periodic data columns to establish a periodic stable state corresponding to the periodic data column, amplify each of the periodic stable states and map them to the monitoring model, obtain the impact characteristics of each of the periodic stable states on the operation of the ship, and perform a health assessment on the ship based on the several operational impact characteristics.

5. A ship vibration monitoring method based on data model technology as claimed in claim 1, characterized in that: The step 3 comprises: Step 31: when the ship does not meet the prescribed health level, a health assessment result is obtained, and a number of abnormal presentation characteristics of the ship are determined according to the health assessment result, and equipment tracing is performed for each of the abnormal presentation characteristics to determine a number of abnormally operating equipment; Step 32: Locate the model position corresponding to each abnormally operating device in the monitoring model, and analyze the Mahalanobis distance between different historical data of each model position within a specified time period and the corresponding effective operating range based on the effective operating range of each abnormally operating device, to obtain a distance table corresponding to each abnormally operating device; Step 33: Determine the vibration duration and vibration frequency corresponding to each abnormal operation device based on the distance table, construct a visual graph according to the target distance table corresponding to a number of target abnormal operation devices whose vibration duration / vibration frequency do not meet the preset safety vibration conditions, establish visual slope change information corresponding to the abnormal operation device according to the visual graph, and generate abnormal vibration features corresponding to the abnormal operation device; Step 34: Based on each of the abnormal vibration characteristics, search for several vibration causes of the corresponding abnormally operating equipment, select the vibration causes corresponding to different abnormally operating equipment and combine them to obtain several combined causes, input each of the combined causes into the monitoring model to obtain a simulated vibration characteristic, extract the target combined cause corresponding to the simulated vibration characteristic that is the same as the abnormal vibration characteristic, and determine the abnormal cause corresponding to each of the abnormal vibration characteristics.

6. A ship vibration monitoring method based on data model technology as claimed in claim 1, characterized in that: The step 4 comprises: Step 41: Retrieve corresponding preset decision means according to the abnormal cause, establish a maintenance purpose according to each abnormal vibration feature, perform maintenance adjustment on the preset decision means according to the maintenance purpose, and generate a plurality of purpose decision means; Step 42: using the monitoring model to simulate each of the objective decision means, obtaining the implementation process corresponding to each of the objective decision means, and constructing a number of feasible decision means according to the implementation key points corresponding to each of the implementation processes; Step 43: Generate a ship maintenance plan based on the feasible decision-making means and display it.

7. A ship vibration monitoring method based on data model technology as claimed in claim 1, characterized in that: Also includes: The monitoring information is transmitted to the remote management platform and the ship management platform for real-time display.

8. A ship vibration monitoring method based on data model technology as claimed in claim 1, characterized in that: Also includes: Several historical abnormal causes of the ship are counted, and a preventive maintenance plan for the ship is constructed and displayed.

9. A ship vibration monitoring system based on data model technology, characterized in that: include: A model building module, used to collect monitoring information of the ship, process the monitoring information using data model technology, and build a monitoring model of the ship; A health assessment module, used to run the monitoring model, obtain the operating status corresponding to each operating equipment in the ship, and perform a health assessment on the ship based on the operating status; an abnormality analysis module, for determining, when the ship does not meet a prescribed health level, a plurality of abnormal vibration characteristics of the ship according to the monitoring model, and respectively determining an abnormal cause corresponding to each abnormal vibration characteristic; The plan building module is used to generate and display a ship maintenance plan for the ship according to each abnormal vibration feature and the corresponding abnormal cause.

10. A ship vibration monitoring system based on data model technology as claimed in claim 9, characterized in that: The model building module comprises: A first construction unit is used to respectively obtain the real-time device information corresponding to each running device in the ship, and construct the comprehensive real-time information of the ship according to the real-time device information combined with the internal structure of the ship; A second construction unit is used to deduce the real-time and accurate route of the ship according to the comprehensive real-time information, and find the water condition information corresponding to the water area passed by the ship at different times; The third construction unit is used to construct a data model of the ship, and input the comprehensive real-time information and the water condition information into the data model to establish a supervision model of the ship.

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