CN115230910A - Intelligent health monitoring system and method for ship structure based on wave radar - Google Patents
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Abstract
The invention discloses an intelligent health monitoring system and method for a ship structure based on a wave radar, which are characterized in that stress responses of key structure areas of a ship body under different load conditions, different wave conditions and different navigational speeds are calculated based on hydrodynamic force and finite element software, a basic stress response database is established, a data model is established in actual operation of the ship to calculate and analyze the stress of key nodes of the ship body under a real-time state, the results are corrected through stress data of a stress monitoring system, and finally, the structural stress state and the fatigue life of the key area of the whole ship are diagnosed and forecasted in real time, so that the comprehensive assessment of the safety performance of the ship structure is realized, corresponding early warning/alarming functions and the like are provided, objective and reliable information can be provided for a crew in time, the active prevention capability of the risk of the ship body structure is enhanced, the operation safety of the ship is improved, the maintenance cost and the frequency are reduced, and the service life of the ship is prolonged.
Description
Technical Field
The invention relates to an intelligent health monitoring system and method for a ship structure, in particular to an intelligent health monitoring system and method for a ship structure based on a wave radar, and belongs to the technical field of ship health monitoring.
Background
As ships become larger and larger, the demands for the strength of the hull structure are increasing, and the attention of the shipowner on the strength and safety of the hull structure is also increasing. At present, various large classification societies continuously promote relevant SMART ship top layer designs, and release various SMART ship symbols, for example, ABS releases SMART ship structure SMART symbols SMART (SHM). At present, the main means for monitoring the health of a ship structure is based on a ship stress monitoring system, the system can only monitor the stress at the installation position of a sensor, and the system has no predictability and diagnosticity for the structure safety of other key areas and cannot realize the intellectualization required by a classification society.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent health monitoring system and method for a ship structure based on a wave radar, which are used for carrying out real-time intelligent health monitoring on any structural point and have strong timeliness.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
the utility model provides a ship structure intelligence health monitoring system based on wave radar which characterized in that: comprises
A stress database, wherein the hydrodynamic analysis software and the finite element software are utilized to simulate and analyze the key structures of the ship body under different drafts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta of the ship in advance to form a basic stress database;
the wave radar scans wave information around the ship in all directions and collects wave load data in real time in the sailing process of the ship;
the wave analysis processor is used for carrying out spectrum analysis on wave data acquired by the wave radar;
the stress monitoring sensor is used for monitoring the stress of the hull structure at the mounting point;
the data processor is used for establishing a data model and performing calculation analysis according to the input wave data, calculating and forecasting the stress state and the fatigue life of the structure of a key area in real time, and evaluating the safety state of the ship structure;
and the display is used for displaying the structural stress of the key area of the ship body and the accumulated fatigue damage.
Further, the data processor is installed at a ship end or a shore end, when the data processor is installed at the shore end, the data transmission communicator is installed on the ship, wave information, GPS (global positioning system) navigational speed information, loading information and stress information collected by the stress sensor processed by the wave analysis processor are transmitted to the shore end data processor for real-time calculation and analysis, and a critical area structure stress state and a fatigue life prediction result transmitted by the shore end data processor are received.
Further, the wave radar contains stern radar and bow radar, and stern radar sets up at the hull stern, and the bow radar sets up at the hull bow.
Further, the ship body stress monitoring device further comprises an alarm, and when the monitored stress data or fatigue damage value of the ship body exceeds a target value, the alarm is given.
A ship structure intelligent health monitoring method based on a wave radar is characterized by comprising the following steps:
the method comprises the following steps: calculating peak stress response functions of typical positions of the ship under different draughts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta, and establishing a basic stress response database;
step two: the wave height H, the period T and the wave direction angle beta are input into the wave radar at each time interval in real time, the draught D input by the loader and the navigational speed V input by the GPS are input into the wave radar;
step three: according to the wave height H, the period T and the wave direction angle beta which are input in real time at each time interval of the wave radar, the draft D input by a loader and the navigational speed V input by a GPS (global positioning system), and a basic stress database obtained based on finite elements, finding out the adjacent wave height, period, wave direction angle, draught and navigational speed, and obtaining a stress value by using an interpolation algorithm based on the actual input wave height, period, wave direction angle, draught and navigational speed of the radar in the operation process;
step four: respectively interpolating given main wave information and sub wave information to obtain main wave stress sigma Main And sub-wave stress sigma Then Superposing the two stress values to obtain the total predicted stress sigma at the predicted point Forecasting ＝σ Main +σ Then ；
Step five: correcting the predicted stress obtained by performing interpolation calculation on unmonitored key regions based on the stress input by the stress sensor in real time and the stress predicted at the stress sensor installation position in the stress database to obtain a stress time history curve of each key structure region so as to obtain the real-time stress;
step six: will actually forecast the stress value sigma max forecast And allowable stress value sigma Allowable use For comparison, R = σ max forecast /[σ Allowable use ]* And 100 percent, judging low risk, medium risk and high risk by percentage, and judging the low risk, the medium risk and the high risk according to the damage coefficient for fatigue damage.
Further, in the third step, for the input wave height H, wave direction angle β, and period T, H1, H2 corresponding stresses close to the wave height H, β 1, β 2 corresponding stresses close to the wave direction angle β, and T1, T2 corresponding stresses close to the period T are found from the database, where H1, H2 are two adjacent wave heights adjacent to the wave height H in the wave height list of the database, β 1, β 2 are two adjacent wave directions adjacent to the wave direction angle β in the wave direction angle list of the database, T1, T2 are two adjacent periods adjacent to the period T in the period list of the database, and H1< H2, β 1< β < β 2, T1< T2.
Further, in the third step, for the input draft D, the speed V, finding the corresponding stress of D1, D2 close to the draft D from the database, where D1, D2 are two adjacent drafts adjacent to the draft D in the draft list of the database, and D1< D2, finding the corresponding stress of V1, V2 close to the speed V, where V1, V2 are two adjacent speeds adjacent to the speed V in the speed list of the database, and V1< V2.
Further, the fifth step is specifically: the stress value monitored in real time at the monitoring point of the internal stress monitoring system at each time interval is taken, and the maximum value sigma of the stress value is taken max measurement Obtaining the stress forecast value by interpolation of each time interval of the monitoring points, and taking the maximum value sigma max forecast Monitoring the maximum stress sigma of the monitoring point of the stress monitoring system max measurement At the maximum stress sigma in minute obtained by interpolation max forecast Calculating the ratio to obtain the correction coefficient sigma of the predicted stress max measurement /σ max forecast = s, and then the stresses predicted at other key points are corrected by multiplying them by a correction factor s, σ Correction prediction ＝s*σ Forecasting 。
Further, in the fifth step, the stress time history curve of each key structure region counts stress cycles by using a rain flow counting method, and fatigue calculation is performed based on a mini linear damage theory.
Further, in the sixth step, less than 80% of stress monitoring is low risk, 80% -90% is medium risk, and more than 90% is high risk; in fatigue damage monitoring, the damage coefficient is lower than 0.8, the risk is middle between 0.8 and 0.9, and the risk is high above 0.9.
Compared with the prior art, the invention has the following advantages and effects: according to the intelligent health monitoring system and method for the ship structure based on the wave radar, disclosed by the invention, according to the stress database calculated in advance and wave information collected by the wave radar, real-time intelligent health monitoring can be carried out on any structural point, and the predicted stress is corrected through the stress measured by the stress detection system. By monitoring the state information of the ship structure in real time, the comprehensive assessment of the safety performance of the ship structure is realized, the stress level and the fatigue life of the ship structure are predicted/alarmed in real time, objective and reliable information can be provided for sailors in time, the risk prevention capability of the ship structure is enhanced, the operation safety of the ship is improved, the maintenance cost and frequency are reduced, and the service life of the ship is prolonged.
Drawings
Fig. 1 is a schematic diagram of an embodiment 1 of the intelligent health monitoring system for a ship structure based on a wave radar.
Fig. 2 is a schematic diagram of an embodiment 2 of the intelligent health monitoring system for a ship structure based on a wave radar.
Fig. 3 is a schematic structural diagram of an intelligent health monitoring system for a ship structure based on a wave radar.
Fig. 4 is a top view of a wave radar based intelligent health monitoring system for a marine structure of the present invention.
Fig. 5 is a flow chart of the intelligent health monitoring method for the ship structure based on the wave radar.
Fig. 6 is a schematic view of a stress monitoring interface of the intelligent health monitoring method for a ship structure based on a wave radar.
FIG. 7 is a schematic view of a fatigue monitoring interface of the intelligent health monitoring method for a ship structure based on a wave radar.
Detailed Description
To elaborate on technical solutions adopted by the present invention to achieve predetermined technical objects, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, it is obvious that the described embodiments are only partial embodiments of the present invention, not all embodiments, and technical means or technical features in the embodiments of the present invention may be replaced without creative efforts, and the present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.
Example 1:
as shown in FIG. 1, the intelligent health monitoring system for ship structure based on wave radar of the present invention comprises
A basic stress database, wherein the hydrodynamic analysis software and the finite element software are utilized to simulate and analyze the key structures of the ship body under different drafts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta of the ship in advance to form the basic stress database;
the land-based processor is installed on land and used for installing hydrodynamic force and finite element software and carrying out calculation processing;
hydrodynamic analysis software and finite element software are installed on a land-based processor, and key structures of the ship under different drafts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta of the ship are simulated and analyzed in advance to establish a basic stress database; stress and fatigue can be rapidly predicted according to external wave information, navigational speed and loading information in actual operation of the ship, and the timeliness is very strong;
the wave radars are arranged at the bow part and the stern part of the ship, carry out all-dimensional scanning on wave information around the ship and acquire wave load data in the sailing process of the ship in real time;
the wave analysis processor is positioned in a ship cab and used for carrying out spectrum analysis on wave data acquired by the wave radar;
the stress monitoring sensor is arranged on an upper deck at the middle position of the ship and used for monitoring the stress of a ship structure at the mounting point and correcting the structural stress forecasted at the other points where the stress detection sensor is not mounted;
the ship-based processor is positioned in a ship cab, establishes a data model and performs calculation and analysis according to input wave data, calculates and forecasts the stress state and the fatigue life of the structure of a key area in real time, and evaluates the safety state of a ship structure;
the display is positioned in a ship cab and used for displaying structural stress and accumulated fatigue damage of a key area of a ship body;
and the alarm is positioned in the cab and gives an alarm when the monitored stress data or fatigue damage value of the ship body exceeds a target value.
As shown in fig. 3, the wave radar includes a stern radar 1 and a bow radar 2, the stern radar 1 is disposed at the stern of the ship body, and the bow radar 2 is disposed at the bow of the ship body. The ship base processor 3, the wave analysis processor 4, the display 5 and the alarm 6 are arranged on the upper deck of the ship in a cab, and the stress monitoring sensor 7 is installed.
As shown in FIG. 4, a-f are predicted points of a key area, and f is a stress sensor mounting point.
The stress value monitored in real time at the monitoring point f of the internal stress monitoring system at each time interval is taken as the maximum value sigma max measurement And obtaining a stress forecast value obtained by interpolation of the monitoring points f at intervals at each moment, and taking a maximum value sigma of the stress forecast value max forecast Monitoring the maximum stress sigma of the monitoring point of the stress monitoring system max measurement At the maximum stress sigma in minute obtained by interpolation max forecast The ratio is calculated to obtain the correction coefficient sigma of the forecast stress max measurement /σ max forecast = s, then correction of predicted stress at a-e keypoints multiplied by a coefficient, s Correction prediction ＝s*σ Forecasting 。
The hydrodynamic analysis software and the finite element software are installed on the land-based processor, simulation analysis is carried out on the key structures of the ship body under different wave conditions in advance, a stress database is established, and the stress database is transplanted into the ship-based processor in advance. The wave radar is used for acquiring wave load data in the ship sailing process in real time, inputting the data into the wave analyzer for wave spectrum analysis to obtain main wave and secondary wave components and obtain characteristic values (wave height, wavelength, period and wave direction) of the waves; the wave analysis processor inputs wave information into the ship base processor, the ship base processor combines the wave information obtained by the wave analysis processor, the GPS navigational speed information and the loader draft information, interpolation calculation is carried out on the stress database in real time based on the stress database, and the stress response of the key area structure is obtained through forecasting. Stress correction is carried out according to the stress forecasted at the monitoring point of the stress monitoring sensor and the stress actually obtained by the stress sensor to obtain a correction coefficient, the forecasted stress of the other positions where the stress sensor is not installed is corrected, stress circulation is counted by a rain flow counting method according to the stress time history forecasted by the key area, fatigue analysis is carried out based on the Miner linear theory, and finally the safety state of the ship body structure is evaluated. When the monitored stress data or fatigue damage value of the ship body exceeds a target value, an alarm is given out to remind a crew that the ship body is at risk of damage, and the crew can further pay important attention to correspondingly checking or next dock repair.
Example 2:
as shown in FIG. 2, an intelligent health monitoring system for ship structure based on wave radar comprises
The land-based processor is used for installing hydrodynamic and finite element software for calculation processing, installing a stress database on the other hand, establishing a data model and performing dynamic stress range and peak stress calculation analysis by combining wave information transmitted by the wave analysis processor based on the stress database, calculating and forecasting the stress state and the fatigue life of a critical area structure in real time, evaluating the safety state of a hull structure and transmitting the calculation result to a data transmission communicator on a ship in real time;
hydrodynamic analysis software and finite element software are installed on a land-based processor, and the critical structures of the ship body under different wave conditions are simulated and analyzed in advance to establish a stress database;
the wave radar is arranged at the bow part and the stern part of the ship, scans wave information around the ship in an all-around mode, is used for acquiring wave load data in the navigation process of the ship in real time in the actual operation of the ship;
the wave analysis processor is positioned in a ship cab and used for carrying out spectrum analysis on wave data acquired by the wave radar;
the stress monitoring sensor is arranged on an upper deck at the middle position of the ship, is used for monitoring the stress of a ship structure at the mounting point and is used for correcting the structural stress forecasted at the other points where the stress detection sensor is not mounted;
the data transmission communicator transmits wave information, GPS (global positioning system) navigational speed information, loading information and stress information collected by the stress sensor, which are processed by the wave analysis processor, to the land-based server for real-time calculation and analysis, and receives a critical area structure stress state and a fatigue life prediction result transmitted by the land-based server;
the display is positioned in a ship cab and used for displaying structural stress, accumulated fatigue damage state and diagnosis information of a key area of a ship body, which are transmitted by the land-based server;
and the alarm is positioned in the cab and gives an alarm when the monitored stress data or fatigue damage value of the ship body exceeds a target value.
As shown in fig. 3, the wave radar includes a stern radar 1 and a bow radar 2, the stern radar 1 is disposed at the stern of the ship body, and the bow radar 2 is disposed at the bow of the ship body. The ship base processor 3, the wave analysis processor 4, the display 5 and the alarm 6 are arranged on the upper deck of the ship in a cab, and the stress monitoring sensor 7 is installed.
As shown in FIG. 4, a-f are predicted points of a key area, and f is a stress sensor mounting point.
The stress value monitored in real time at the monitoring point f of the internal stress monitoring system at each time interval is taken as the maximum value sigma max measurement And obtaining a stress forecast value obtained by interpolation of the monitoring points f at intervals at each moment, and taking a maximum value sigma of the stress forecast value max forecast Monitoring the maximum stress sigma of the monitoring point of the stress monitoring system max measurement At the maximum stress sigma in minute obtained by interpolation max forecast The ratio is calculated to obtain the correction coefficient sigma of the forecast stress max measurement /σ max forecast = s, then correction of predicted stress at a-e keypoints multiplied by a coefficient, s Correction prediction ＝s*σ Forecasting 。
Hydrodynamic analysis software and finite element software are installed on a land-based processor, and simulation analysis is carried out on the key structure of the ship body under different wave conditions in advance to establish a stress database. The wave radar is used for acquiring wave load data in the ship sailing process in real time, inputting the data into the wave analyzer for wave spectrum analysis to obtain main wave and secondary wave components and obtain characteristic values (wave height, wavelength, period and wave direction) of the waves; the wave analysis processor inputs wave information into the data transmission communicator, the wave information processed by the wave analysis processor is transmitted to the land-based server, and the land-based server performs interpolation calculation on the stress database in real time according to a stress database installed in advance, the wave information obtained by the wave analysis processor, GPS (global positioning system) navigational speed information and loader draft information, and forecasts to obtain key area structure stress response. Stress correction is carried out according to the stress forecasted at the monitoring point of the stress monitoring sensor and the stress actually obtained by the stress sensor to obtain a correction coefficient, the forecasted stress of the other positions where the stress sensor is not installed is corrected, stress cycle is counted by a rain flow counting method according to the stress time history forecasted in a key area, fatigue analysis is carried out based on a Miner linear theory, finally the safety state of a hull structure is evaluated, and the key area structure stress, the accumulated fatigue damage state and diagnosis information are transmitted to a data transmission communicator on a ship by a land-based server. And alarming when the monitored stress data or fatigue damage value of the ship body exceeds a target value, reminding a crew of the risk of damage to the ship body, and further performing corresponding checking or focusing attention when next dock repair is performed.
The intelligent health monitoring system for the ship structure based on the ship-based or land-based scheme is characterized in that a stress database and a fatigue database are established in advance based on finite element software and hydrodynamic software, so that stress and fatigue can be rapidly predicted in the actual operation of a ship, and the intelligent health monitoring system has strong timeliness. The ship structure risk prevention system can provide objective and reliable information for crews in time, enhance the risk active prevention capability of the ship structure, improve the operation safety of the ship, reduce the maintenance cost and frequency and prolong the service life of the ship.
An advantage of embodiment 1 as shown in fig. 1 is that the wave data collected during the voyage of the vessel need not be transmitted to land, but can be analysed directly on board. The advantage of embodiment 2 as shown in fig. 2 is that the crew can directly obtain the calculation results from land without professional software operation. In both the embodiment 1 and the embodiment 2, a stress database and a fatigue database are established in advance based on finite element software and hydrodynamic software, real-time intelligent health monitoring is carried out on any concerned structural point in actual operation of a ship, stress and fatigue can be rapidly predicted, and the timeliness is very strong. The defects of hysteresis caused by using finite elements for calculation in actual operation of the ship and occupation of a large amount of calculation resources are avoided.
Example 3:
as shown in fig. 5, a method for intelligently monitoring health of a ship structure based on a wave radar includes the following steps:
the method comprises the following steps: calculating peak stress response functions of typical positions of the ship under different drafts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta, and establishing a basic stress response database;
step two: the wave height H, the period T and the wave direction angle beta are input into the wave radar at each time interval in real time, the draught D input by the loader and the navigational speed V input by the GPS are input into the wave radar;
step three: according to the wave height H, the period T and the wave direction angle beta which are input in real time at each time interval of the wave radar, the draft D input by a loader, the navigational speed V input by a GPS and a basic stress database obtained based on finite elements, the adjacent wave height, period, wave direction angle, draught and navigational speed are found, and based on the actual input wave height, period, wave direction angle, draught and navigational speed of the radar in the operation process, a stress value is obtained by using an interpolation algorithm;
for the input wave height H, wave angle β, period T, finding from the database the stress corresponding to H1, H2 close to the wave height H, the stress corresponding to β 1, β 2 close to the wave angle β, and the stress corresponding to T1, T2 close to the period T, where H1, H2 are two adjacent wave heights adjacent to the wave height H in the wave height list of the database, β 1, β 2 are two adjacent wave angles adjacent to the wave angle β in the wave angle list of the database, T1, T2 are two adjacent periods adjacent to the period T in the period list of the database, and H1< H2, β 1< β < β 2, T1< T2. And for the input draught D and the speed V, finding the corresponding stress of D1 and D2 close to the draught D from the database, wherein D1 and D2 are two adjacent drafts adjacent to the draught D in the draft list of the database, D1< D < D2, and finding the corresponding stress of V1 and V2 close to the speed V, wherein V1 and V2 are two adjacent speeds adjacent to the speed V in the speed list of the database, and V1< V < V2.
Step four: respectively interpolating given main wave information and sub wave information to obtain main wave stress sigma Master and slave And the sub-wave stress sigma Next time Superposing the two stress values to obtain the total predicted stress sigma at the predicted point Forecasting ＝σ Main +σ Then ；
Step five: and correcting the predicted stress obtained by performing interpolation calculation on the unmonitored key areas based on the stress input by the stress sensor in real time and the stress predicted at the stress sensor installation position in the stress database to obtain a stress time history curve of each key structure area, so as to obtain the real-time stress.
The stress value monitored in real time at the monitoring point of the internal stress monitoring system at each time interval is taken, and the maximum value sigma of the stress value is taken max measurement The maximum value sigma of the stress forecast value obtained by interpolation of each time interval of the monitoring points is taken max forecast Monitoring the maximum stress sigma of the monitoring point of the stress monitoring system max measurement At the maximum stress sigma in minute obtained by interpolation max forecast Calculating the ratio to obtain the correction coefficient sigma of the predicted stress max measurement /σ max forecast = s, and then correcting the stresses predicted for other key points by multiplying the correction factor s, σ Correction prediction ＝s*σ Forecasting 。
And counting stress cycles by using a rain flow counting method according to the stress empirical curve of each key structure region, and carrying out fatigue calculation based on a miner linear damage theory.
Step six: the actual predicted stress value sigma max forecast And allowable stress value sigma Allowable use For comparison, R = σ max forecast /[σ Allowable use ]* And 100 percent, judging low risk, medium risk and high risk by percentage, and judging the low risk, the medium risk and the high risk according to the damage coefficient for the fatigue damage.
As shown in fig. 6, the actual predicted stress value is compared with the allowable stress value, and R = σ max forecast /[σ Allowable use ]*100%, low risk, medium risk, high risk are judged by percentage. Less than 80% of stress monitoring is low risk, 80% -90% is medium risk, and more than 90% is high risk.
Fig. 7 shows that the low risk, the medium risk and the high risk are judged according to the damage coefficient, for example, the damage coefficient is lower than 0.8 in the fatigue damage monitoring, the risk is low, the risk is medium in the range of 0.8-0.9 and the risk is high in the range of higher than 0.9.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The utility model provides a ship structure intelligence health monitoring system based on wave radar which characterized in that: comprises
The stress database is used for carrying out simulation analysis on the key structures of the ship body under different draughts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta of the ship in advance by utilizing hydrodynamic analysis software and finite element software to form a basic stress database;
the wave radar is used for scanning wave information around the ship in an all-around mode and acquiring wave load data in the ship sailing process in real time;
the wave analysis processor is used for carrying out spectrum analysis on wave data acquired by the wave radar;
the stress monitoring sensor is used for monitoring the stress of the hull structure at the mounting point;
the data processor is used for establishing a data model and carrying out calculation analysis according to the input wave data, carrying out real-time calculation and forecast on the stress state and the fatigue life of the structure of the key area and evaluating the safety state of the ship structure;
and the display displays the structural stress and the accumulated fatigue damage of the key area of the ship body.
2. The intelligent health monitoring system for ship structures based on wave radar as claimed in claim 1, wherein: the data processor is installed at a ship end or at a shore end, when the data processor is installed at the shore end, the data transmission communicator is installed on the ship, wave information, GPS (global positioning system) navigational speed information, loading information and stress information collected by the stress sensor processed by the wave analysis processor are transmitted to the shore end data processor for real-time calculation and analysis, and a critical area structure stress state and a fatigue life prediction result transmitted by the shore end data processor are received.
3. The intelligent health monitoring system for ship structure based on wave radar as claimed in claim 1, characterized in that: the wave radar comprises a stern radar and a bow radar, the stern radar is arranged at the stern of the ship body, and the bow radar is arranged at the bow of the ship body.
4. The intelligent health monitoring system for ship structure based on wave radar as claimed in claim 1, characterized in that: the monitoring system also comprises an alarm which gives an alarm when the monitored stress data or fatigue damage value of the ship body exceeds a target value.
5. A ship structure intelligent health monitoring method based on a wave radar is characterized by comprising the following steps:
the method comprises the following steps: calculating peak stress response functions of typical positions of the ship under different draughts D, different navigational speeds V, different wave heights H, different wave periods T and different wave direction angles beta, and establishing a basic stress response database;
step two: the wave height H, the period T and the wave direction angle beta are input into the wave radar at each time interval in real time, the draught D input by the loader and the navigational speed V input by the GPS are input into the wave radar;
step three: according to the wave height H, the period T and the wave direction angle beta which are input in real time at each time interval of the wave radar, the draft D input by a loader and the navigational speed V input by a GPS (global positioning system), and a basic stress database obtained based on finite elements, finding out the adjacent wave height, period, wave direction angle, draught and navigational speed, and obtaining a stress value by using an interpolation algorithm based on the actual input wave height, period, wave direction angle, draught and navigational speed of the radar in the operation process;
step four: respectively interpolating given main wave information and sub wave information to obtain main wave stress sigma Main And sub-wave stressσ Next time Superposing the two stress values to obtain the total predicted stress sigma at the predicted point Forecasting ＝σ Master and slave +σ Next time ；
Step five: on the basis of the stress input by the stress sensor in real time and the stress predicted at the stress sensor installation position in the stress database, correcting the predicted stress obtained by performing interpolation calculation on key regions which are not monitored to obtain a stress time history curve of each key structure region so as to obtain the real-time stress;
step six: will actually forecast the stress value sigma max forecast And allowable stress value sigma Allowable use For comparison, R = σ max forecast /[σ Allowable use ]* And 100 percent, judging low risk, medium risk and high risk by percentage, and judging the low risk, the medium risk and the high risk according to the damage coefficient for fatigue damage.
6. The intelligent health monitoring method for ship structure based on wave radar as claimed in claim 5, wherein: in the third step, for the input wave height H, wave direction angle β, and period T, finding the stress corresponding to H1 and H2 close to the wave height H, the stress corresponding to β 1 and β 2 close to the wave direction angle β, and the stress corresponding to T1 and T2 close to the period T from the database, where H1 and H2 are two adjacent wave heights adjacent to the wave height H in the wave height list of the database, β 1 and β 2 are two adjacent wave directions adjacent to the wave direction angle β in the wave direction angle list of the database, T1 and T2 are two adjacent periods adjacent to the period T in the period list of the database, and H1< H2, β 1< β < β 2, and T1< T2.
7. The intelligent health monitoring method for ship structure based on wave radar as claimed in claim 5, wherein: and in the third step, for the input draft D and the draft V, finding the stress corresponding to D1 and D2 close to the draft D from the database, wherein D1 and D2 are two adjacent drafts adjacent to the draft D in the draft list of the database, D1< D < D2, and finding the stress corresponding to V1 and V2 close to the draft V, wherein V1 and V2 are two adjacent drafts adjacent to the draft V in the draft list of the database, and V1< V < V2.
8. The intelligent health monitoring method for ship structure based on wave radar as claimed in claim 5, wherein: the fifth step is specifically as follows: the stress value monitored in real time at the monitoring point of the internal stress monitoring system at each time interval is taken as the maximum value sigma max measurement Obtaining the stress forecast value by interpolation of each time interval of the monitoring points, and taking the maximum value sigma max forecast Monitoring the maximum stress sigma of the monitoring point of the stress monitoring system max measurement At the maximum stress sigma in minute obtained by interpolation max forecast The ratio is calculated to obtain the correction coefficient sigma of the forecast stress max measurement /σ max forecast = s, and then correcting the stresses predicted for other key points by multiplying the correction factor s, σ Correction prediction ＝s*σ Forecasting 。
9. The intelligent health monitoring method for ship structure based on wave radar as claimed in claim 5, wherein: in the fifth step, the stress time history curve of each key structure area counts stress circulation by using a rain flow counting method, and fatigue calculation is carried out based on a miner linear damage theory.
10. The intelligent health monitoring method for ship structure based on wave radar as claimed in claim 5, wherein: in the sixth step, less than 80% of stress monitoring is low risk, 80% -90% is medium risk, and more than 90% is high risk; in the fatigue damage monitoring, the damage coefficient is lower than 0.8, the risk is low, the risk is medium when the damage coefficient is 0.8-0.9, and the risk is high when the damage coefficient is higher than 0.9.
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| CN202310892336.2A CN116933592A (en) | 2022-08-10 | 2023-07-20 | Intelligent ship structure safety assessment method and system |
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