CN110044586A - Ship machine equipment failure judgment method, device, system and storage medium - Google Patents
Ship machine equipment failure judgment method, device, system and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 39
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING
- B63B71/00—Designing vessels; Predicting their performance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
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Abstract
This application involves a kind of ship machine equipment failure judgment method, device, system and storage mediums.Method includes: to obtain the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；Multiple measuring points are set according to the failure mode of ship machine equipment；Source information of the equipment for the measuring point of receiving sensor acquisition is acquired, the status information of each measuring point is obtained by the source information that at least one sensor acquires；Determine the corresponding data processing mode of each measuring point；Data processing is carried out using status information of the data processing mode to each measuring point, obtains the state representation data of each measuring point of ship machine equipment；According to the state representation data of each measuring point, the degradation speed of each measuring point of ship machine equipment is determined；According to the degradation speed of each measuring point, the form whether ship machine equipment broke down and break down in prediction time is predicted.This method can automatic Prediction ship machine equipment in the concrete form sometime to break down, effectively improve the status predication accuracy rate of ship machine equipment.
Description
Technical field
This application involves technical field of ships, more particularly to a kind of ship machine equipment failure judgment method, device, system and
Storage medium.
Background technique
With the continuous development of shipbuilding industry, Ship Structure gradually tends to complicate, and operating condition tends to diversification, and working environment
Also more severe；When ship breaks down, often construction operation is caused to seriously affect, in turn results in biggish economic damage
It loses；Therefore, the level of fault diagnosis for improving ship machine equipment is to ensure that the premise of safety of ship reliability service.
The working condition of ship is inspected periodically to the monitoring of ship mainly staff at present, and determines that some equipment is
No there are failures, and if so, being recorded or being alarmed；When, where staff can not be known in advance some equipment and can
There is which kind of failure, thus the operation process of ship is easily caused to be interrupted suddenly, serious waste manpower and material resources, economic loss is not
It can estimate.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of ship machine equipment failure judgment method, device, system
And storage medium.
On the one hand, the embodiment of the present invention provides a kind of ship machine equipment failure judgment method, which comprises
Obtain the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；The multiple measuring point is according to described in
The failure mode of ship machine equipment is set；Source information of the acquisition equipment for the measuring point of receiving sensor acquisition, each
The status information of measuring point is obtained by the source information that at least one sensor acquires；
Determine the corresponding data processing mode of each measuring point；
Data processing is carried out using the status information of the data processing mode to each measuring point, obtains the ship machine
The state representation data of each measuring point of equipment；
According to the state representation data of each measuring point, the degradation speed of each measuring point of the ship machine equipment is determined；
According to the degradation speed of each measuring point, predict whether the ship machine equipment broke down and send out in prediction time
The form of raw failure.
In one of the embodiments, the source information of the ship machine equipment include vibration information, acoustic information, optical information,
One of temperature information, pressure information are a variety of.
If the source information of the ship machine equipment is vibration information in one of the embodiments, the source information is corresponding
Sensor include acceleration transducer；The acceleration transducer is for acquiring the measuring point in x-axis direction, y-axis direction and z
The vibration acceleration information at least one direction in axis direction；The x-axis direction, y-axis direction and z-axis direction are mutually hung down
Directly.
The state letter for multiple measuring points on ship machine equipment that the acquisition equipment is sent in one of the embodiments,
The identification information of measuring point is carried in breath；
The step of each measuring point of determination corresponding data processing mode, comprising:
Obtain the identification information of the measuring point carried in the status information；
The mapping table for inquiring identification information and data processing mode, obtains the corresponding data processing mould of the identification information
Formula；
According to the corresponding data processing mode of the identification information, the corresponding data processing mode of each measuring point is determined.
The state representation data according to each measuring point in one of the embodiments, determine the ship machine equipment
The step of degradation speed of each measuring point, comprising:
The state representation data of each measuring point are sampled, generate the ship machine equipment according to the data that sampling obtains
The state trend curve of each measuring point；
The degradation speed of each measuring point of the ship machine equipment is determined according to the state trend curve.
The degradation speed according to each measuring point in one of the embodiments, predicts that the ship machine equipment exists
The step of form whether prediction time breaks down and break down, comprising:
Obtain the state evaluation threshold value of each measuring point of the ship machine equipment；The state evaluation threshold value is according to the ship machine
State representation data and failure mode when device fails determine；
According to the state evaluation threshold value of the degradation speed of each measuring point and corresponding measuring point, predict that the ship machine equipment is being predicted
The form whether moment breaks down and break down.
The state evaluation threshold of the degradation speed according to each measuring point and corresponding measuring point in one of the embodiments,
Value, the step of predicting the failure mode that the ship machine equipment occurred in prediction time, comprising:
According to the degradation speed of each measuring point, status predication of each measuring point in prediction time of the ship machine equipment is determined
Data；
Compare the status predication data of each measuring point and the state evaluation threshold value of corresponding measuring point；
If detecting, the status predication data an of measuring point are greater than or equal to the state evaluation threshold value of the measuring point,
Predict that the ship machine equipment breaks down in prediction time；
Obtain whole measuring points that the status predication data are greater than or equal to the corresponding state evaluation threshold value；
According to the setting position of whole measuring points, the failure mode that the ship machine equipment occurs in prediction time is predicted.
On the other hand, the embodiment of the present invention provides a kind of ship machine equipment device for detecting fault, and described device includes:
State information acquisition module, for obtaining the state letter of multiple measuring points on the ship machine equipment that acquisition equipment is sent
Breath；The multiple measuring point is set according to the failure mode of the ship machine equipment；The acquisition equipment is acquired for receiving sensor
The measuring point source information, the status information of each measuring point obtains by the source information that at least one sensor acquires；
Mode decision module, for determining the corresponding data processing mode of each measuring point；
Data processing module, for carrying out data using the status information of the data processing mode to each measuring point
Processing, obtains the state representation data of each measuring point of the ship machine equipment；
Degradation speed determining module determines the every of the ship machine equipment for the state representation data according to each measuring point
The degradation speed of a measuring point；
Failure predication module predicts the ship machine equipment in prediction for the degradation speed according to each measuring point
Carve the form for whether breaking down and breaking down.
In another aspect, the embodiment of the present invention provides a kind of ship machine equipment fault verification system, including multiple sensors, acquisition
Equipment and data server；
The multiple sensor is used for the source information of multiple measuring points of acquisition vessel machine equipment and is sent to the acquisition equipment；
The multiple measuring point is set according to the failure mode of the ship machine equipment；
The acquisition equipment is used to obtain the state of each measuring point of the ship machine equipment according to the source information of each measuring point
The status information of the multiple measuring point is sent to the data server by information；
The data server is used to obtain the status information of the multiple measuring point；It determines at the corresponding data of each measuring point
Reason mode；Data processing is carried out using the status information of the data processing mode to each measuring point, obtains the ship machine
The state representation data of each measuring point of equipment；According to the state representation data of each measuring point, the every of the ship machine equipment is determined
The degradation speed of a measuring point；According to the degradation speed of each measuring point, predict whether the ship machine equipment is sent out in prediction time
Raw failure and the form to break down.
In another aspect, the embodiment of the present invention provides a kind of computer readable storage medium, it is stored thereon with computer program,
The computer program realizes a kind of the step of ship machine equipment failure judgment method when being executed by processor.
A technical solution in above-mentioned technical proposal has the following advantages that or the utility model has the advantages that data server passes through acquisition
The status information for each measuring point of ship machine equipment that equipment is sent is acquired, and identifies the corresponding data processing mode of measuring point, thus right
The status information of each measuring point carries out data processing, obtains the state representation data of ship machine equipment；Further by according to state
Characterize data determines the degradation speed of each measuring point of ship machine equipment, and then predicts that ship machine equipment is needing to estimate sometime
Whether can break down；The program avoids the external world by the data handling procedure based on accurate sensor signal and intelligence
The influence of environment and subjective factor, monitoring result are accurate；Can automatic Prediction ship machine equipment whether break down sometime
And the form to break down, the status predication accuracy rate of ship machine equipment is effectively improved, caused by avoiding because of equipment fault burst
The problem of shipping work progress is obstructed.
Detailed description of the invention
Fig. 1 is the applied environment figure of ship machine equipment failure judgment method in one embodiment；
Fig. 2 is the schematic flow chart of ship machine equipment failure judgment method in one embodiment；
Fig. 3 is the schematic diagram of ship machine equipment device for detecting fault in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Ship machine equipment failure judgment method provided by the present application, can be applied in application environment as shown in Figure 1.Its
In, application environment as shown in Figure 1 includes that ship machine equipment (has multiple measuring points, is provided on each measuring point on ship machine equipment
Sensor, measuring point and sensor are not shown in the figure), acquisition equipment and data server.
Wherein, multiple sensors can be equipped on ship machine equipment to be monitored, and each ship machine equipment can correspond to one or more
A acquisition equipment (in figure by taking an acquisition equipment as an example), the acquisition equipment are adopted for collecting all the sensors on the ship machine equipment
The source information of collection, and be processed into status information and be sent to data server, data server carries out a series of places to status information
It manages, then shows monitoring and the fault verification of the machine equipment as a result, final realization ship is gone on board that is predicting by monitoring of software.
Specifically, ship machine equipment to be monitored can be located at a ship, may be alternatively located at the ship collection of multiple ship compositions
Group (in figure by taking a ship machine equipment on a ship as an example)；Ship can be the engineering ships such as dredger, can also be other classes
The ship of type；Dredger, which can inhale ship (such as " dredging sea 6 " to take turns) or be twisted for rake, inhales ship (as " Huaan dragon " takes turns).
The type of ship machine equipment to be monitored can for the host of ship, gear-box, bearing housing, dredge pump, tailing axle, generator,
One of engine and deck pump etc. are a variety of, can be selected according to the actual situation.
In addition, acquisition equipment, data server may be provided on the ship ontology where ship machine equipment to be monitored, it can also be only
On the spot it is arranged in outside ship；Acquisition equipment and sensor, acquisition equipment and data server can pass through network or cable etc.
Mode realizes that signal transmits.
In one embodiment, it as shown in Fig. 2, providing a kind of ship machine equipment failure judgment method, applies in this way
It is illustrated for ship machine equipment fault verification system in Fig. 1, comprising the following steps:
S202 obtains the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；Multiple measuring points are according to ship
The failure mode of machine equipment is set；Acquire source information of the equipment for the measuring point of receiving sensor acquisition, the state of each measuring point
Information is obtained by the source information that at least one sensor acquires.
Each ship machine equipment can have multiple positions to be monitored, i.e., multiple measuring points；Measuring point can be located at ship machine equipment top,
Bottom, inside and outside, driving end, anti-drive end (end where with drive shaft opposite the other end), at lower margin etc. in one or more；
The measuring point and number of sensors, type, position being arranged on each ship machine equipment are required to the failure having according to the ship machine equipment
Form is set；Wherein, failure mode can refer to the major failure form of ship machine equipment, i.e. the master that breaks down of the ship machine equipment
Want type, failure mode herein is generally normal fatigue rupture, failure mode for example: equipment is uneven, misaligns and axis
Bending, axle sleeve oil film failure, mechanical loosening, gear defects and bearing defect etc., the failure that different ship machine equipments has
Type is generally different.
For example, ship machine equipment is gear-box, if the major failure form of gear-box be gear defects, spin manifold temperature it is abnormal and
Cabinet abnormal sound, temperature sensor, vibrating sensor and sound pressure sensor can be selected in the sensor on gear-box at this time, and is arranged
In the corresponding position for the gear-box for being easy to detect above-mentioned failure.
Specifically, ship machine equipment to be monitored can have one or more measuring points, settable one or more at a measuring point
A sensor, an acquisition equipment can be used for receiving the source information of the acquisition of the sensor at one or more measuring points.
Multiple sensors can be vibrating sensor, sound pressure sensor, photoelectric sensor, temperature sensor, pressure sensor
One of equal sensors are a variety of, and wherein vibrating sensor may include acceleration transducer, current vortex sensor, magnetoelectricity revolving speed
Sensor etc., chooses according to the actual situation；Accordingly, source information can be vibration information (vibration acceleration information, vibration displacement letter
Breath, vibration velocity information), acoustic information, optical information, temperature information, one of information such as pressure information or a variety of；In addition,
By acquiring equipment, the sample mode of settable sensor, such as 24 hours continuous, daily timing clock, at equal intervals time or signals
Acquire source information with triggering transfiniting.
Wherein, the status information of measuring point can be according to the type set of source information by the mode that source information obtains；It is specific for example,
When the source information of sensor acquisition is vibration information, the status information for the measuring point that acquisition equipment is sent to data server can be
The time domain waveform in set period of time obtained by source information and/or frequency domain spectrogram etc., can choose and set according to the actual situation；
When the source information of sensor acquisition is temperature information, the status information for the measuring point that acquisition equipment is sent to data server can be
Temperature sampling data set in set period of time and/or temperature changing trend figure for obtained by source information etc., are not construed as limiting herein.
It should be noted that acquisition equipment may particularly include Acquisition Instrument, and (such as distributed data is adopted as further optimizing
Collect instrument) and interchanger (such as Ethernet switch), suitable sample frequency, biggish memory space need to be had by acquiring equipment, and
Quick data calculation processing ability；Multiple Acquisition Instruments can realize cascade synchronize, and each Acquisition Instrument can by cable with exchange
The data server of machine and central station of floating dock carries out data transmission, to guarantee the reliability of data transmission.
Data server can save the status information of the original each measuring point got, so as to monitored equipment
Carry out deep analysis and diagnosis.And the storage mode of initial data also there are many, include: 24 hours continuous, timing clock, it is fixed between
Every, transfinite save etc. modes combination.
S204 determines the corresponding data processing mode of each measuring point.
The method of determination of the corresponding data processing mode of measuring point can be to be a variety of, as data server can pass through acquisition equipment hair
The data type for the status information sent determines, can also be determined by the setting position of measuring point, position can also be arranged by sensor
Or the information of other identifications determines.
Data processing mode includes carrying out the index analysis in time domain or frequency domain according to time domain waveform and/or frequency domain spectrogram；
Specifically, index analysis can be peak-to-peak value, virtual value, maximum value, minimum value, average value and the mean square deviation etc. for seeking vibration；
At the same time it can also carry out advanced signal analysis according to time domain waveform and/or frequency domain spectrogram, comprising: time-domain analysis, spectrum analysis,
Rotating machinery fundamental analysis, order analysis, holographic spectrum analysis, wavelet analysis, quasi wavelet analysis, Hilbert-Huang transformation point
Analysis, cepstral analysis, envelope spectrum analysis etc..Certainly, if the status information that acquisition equipment is sent is the variation such as temperature, acoustic pressure, pressure
When tendency chart, data processing mode can be corresponded to seek the peak value of multiple sample point datas, virtual value, maximum value, minimum value, be put down
Mean value and mean square deviation etc. can also carry out above-mentioned advanced signal analytical model, be not construed as limiting herein.It should be noted that every
A measuring point can correspond to one or more data processing modes.
Specifically for example, if ship machine equipment is engine and has 2 measuring points (input shaft and output shaft of engine) thereon,
1 sensor, respectively No. 1 sensor and No. 2 sensors are provided on each measuring point, wherein No. 1 sensor, No. 2 sensors
For detecting the acceleration of shaft；Acquisition equipment receives the source information in the set period of time of 2 sensors acquisition respectively, then
No. 1 sensor, the time domain waveform at No. 2 sensor detecting locations are obtained according to the source information of No. 1 sensor, No. 2 sensors,
And time domain waveform is transmitted to data server；Identify that 2 measuring points send when data server at this time is time domain waveform
When, if it is corresponding with the data processing mode for being fitted to a wavy curve to be preset with time domain waveform, it is determined that 2 measuring points pair
The data processing mode answered is that time domain waveform is fitted to a wavy curve.
S206 carries out data processing using status information of the data processing mode to each measuring point, obtains ship machine equipment
The state representation data of each measuring point.
I.e. data server is complete using the data processing mode after the corresponding data processing mode of each measuring point has been determined
The data processing of the status information of pairs of each measuring point, obtains the state representation data of each measuring point of ship machine equipment；It is specific for example,
When determining the corresponding data processing mode of a measuring point is that time domain waveform is fitted to a wavy curve, ship machine equipment is somebody's turn to do
The corresponding state representation data of measuring point are the wavy curve.
In addition, state representation data can be used for characterizing at each measuring point of ship machine equipment all the sensors in the set time period
Working condition, it can also be used to characterize the working condition of each sensor of each measuring point of ship machine equipment in the set time period.
Data server can handle the status information of multiple measuring points respectively, can also handle simultaneously.
S208 determines the degradation speed of each measuring point of ship machine equipment according to the state representation data of each measuring point.
Wherein, degradation speed is it is to be understood that when ship machine equipment is progressively longer using the time, based on originals such as own loss
Cause, working condition can be deteriorated constantly, and specifically may be embodied in the vibration peak of wavy curve, to become strong, body partial temperature change different
Often, cabinet abnormal sound tends to be serious etc.；Degradation speed is the speed for representing the quality deterioration of each measuring point of ship machine equipment, specifically may be used
It can also be the instantaneous degradation speed at some time point for average degradation speed of each measuring point in certain section of monitoring time section, it can
It is set and is sought according to the actual situation.
S210 predicts whether ship machine equipment broke down and occur in prediction time according to the degradation speed of each measuring point
The form of failure.
That is the degradation speed according to determined by each measuring point, is predicted in following certain time or some moment, ship machine
Whether can break down at some measuring point of equipment, what the failure mode occurred at the measuring point is；Specifically for example, according to determining
Degradation speed, can predict whether the vibration signal of a certain measuring point of generator in following certain time can be up to or over
The vibration signal of some vibration threshold or generator measuring point is more than the probability of the vibration threshold；If it is determined that being more than
The vibration threshold, or the probability for being more than reach 90%, then predict that the generator measuring point breaks down, if the measuring point is that generator is defeated
Shaft then determines that the failure mode that the measuring point occurs is that (specific failure mode need to be according to history event for failure relevant to output shaft
Barrier data are determined, and if generator output shaft major failure form is axle fracture, then determine the failure that the measuring point occurs at this time
Form is axle fracture)；If being not above or probability being lower than 90%, predict that the generator measuring point is not in problem, if prediction
There is no problem for all measuring points of generator, which can continue to apply in engineer operation；If predicting, generator exists
At least one measuring point can break down, then replaced or repaired for the generator.The above-mentioned vibration threshold being related to can root
It is determined according to the operating condition of ship machine equipment and its each measuring point and feature, is not construed as limiting herein.
Ship machine administrative staff can determine each survey of ship machine equipment according to the relationship of equipment current operating conditions and vibration threshold
The probability that point breaks down, the determination for generating failure according to the probability mention as a result, when determining corresponding ship machine equipment failure
Solution or suggestion out, and reasonable arrangement maintenance project.
In the above embodiment of the present invention, executing subject can be data server arrangement, be also possible to Cloud Server, or control
Device processed can also be selected and be changed according to the actual situation certainly.
It is each by obtaining the ship machine equipment that acquisition equipment is sent in the ship machine equipment failure judgment method of above-described embodiment
The status information of measuring point, and identify the corresponding data processing mode of measuring point, so that the status information to each measuring point carries out data
Processing, obtains the state representation data of ship machine equipment；Further by determining each survey of ship machine equipment according to state representation data
The degradation speed of point, and then predict whether ship machine equipment can sometime break down what needs were estimated；The program passes through base
In the accurate source information of sensor detection and the data handling procedure of intelligence, the influence of external environment and subjective factor is avoided,
Monitoring result is accurate；Can automatic Prediction ship machine equipment in the form for sometime whether breaking down and breaking down, effectively
The status predication accuracy rate for improving ship machine equipment, enables maintenance personnel to find failure symptom early, reduces meter to the maximum extent
Outer maintenance is drawn, redundancy check, regularly inside the plan maintenance and superfluous maintenance is eliminated, avoids the generation of catastrophic failure.
In some embodiments, the source information of ship machine equipment include vibration information, acoustic information, optical information, temperature information,
One of pressure information is a variety of；If the source information of ship machine equipment is vibration information, the corresponding sensor of source information includes
Acceleration transducer；If the source information of ship machine equipment is temperature information, the corresponding sensor of source information can be temperature sensing
Device.
In a specific embodiment, if the source information of ship machine equipment is vibration information, the corresponding biography of source information
Sensor includes acceleration transducer；Acceleration transducer is used to acquire measuring point in x-axis direction, y-axis direction and z-axis direction extremely
Vibration acceleration information on a few direction；X-axis direction, y-axis direction and z-axis direction are mutually perpendicular to.
It should be noted that though x-axis direction, y-axis direction and z-axis direction are common three-dimensional system of coordinate, for generating electricity
When machine monitors, the direction of the three-dimensional system of coordinate can be set according to actual conditions；Such as x-y plane can in parallel, perpendicular to horizontal plane,
Or horizontal by certain angle.
In some embodiments, survey is carried in the status information for multiple measuring points on ship machine equipment that acquisition equipment is sent
The identification information of point；S204 is specifically included: obtaining the identification information of the measuring point carried in status information；Inquire identification information and number
According to the mapping table of tupe, the corresponding data processing mode of identification information is obtained；According to the corresponding data processing of identification information
Mode determines the corresponding data processing mode of each measuring point.
The identification information of measuring point entrained by above-mentioned status information can be the pre-set number of measuring point, the type of acquisition equipment
Number, one of information such as port parameter, specification or multiple combinations specifically can be according to reality as long as each measuring point can be distinguished
Border situation is chosen.
Identification information entrained by status information is the pre-set number of measuring point in one of the embodiments,；Specifically
For example, multiple measuring points are distinguish with Arabic numerals respectively, i.e., No. 1, No. 2, No. 3 ...；Identification information and data processing mould
The mapping table of formula can be arranged according to the actual situation, for example, No. 1 measuring point corresponds to fitting a straight line, No. 2 measuring points correspond to matched curve, and No. 3
Matched curve ... while measuring point corresponds to fitting a straight line, by way of above-mentioned corresponding relationship is stored as mapping table, just
In the corresponding relationship of the quick identification marking information and date tupe of data server, to optimize data server data
Recognition capability realizes the real-time processing and analysis of status information.
In some embodiments, S208 is specifically included: being sampled to the state representation data of each measuring point, according to sampling
Obtained data generate the state trend curve of each measuring point of ship machine equipment；Ship machine equipment is determined according to state trend curve
The degradation speed of each measuring point.
Wherein, the time corresponding to data sampling can be day, week, the moon, year etc., and corresponding trend analysis includes per increasingly
Gesture, weekly trend, monthly trend and annual trend analysis, may be selected linear or two kinds of different modes of conic section.
In addition, the state trend curve of each measuring point of ship machine equipment can be to the state representation data of each measuring point into
What row determined after sampling and being fitted.Fitting herein can be linear algorithm, be also possible to curved line arithmetic.It should be noted that
Linear algorithm can more reflect the even variation trend of each measuring point state of ship machine equipment, and measuring point each for ship machine equipment deteriorates
Accelerated deterioration process when serious, curved line arithmetic are more effective.
For example, the wavy curve that the degradation speed of certain measuring point can be fitted to according to time domain waveform is sought, it should
The abscissa of wavy curve is the time, and ordinate can be vibration amplitude；It takes over each on wavy curve in one-year age section
Peak value, i.e., each attainable maximum value of period internal vibration amplitude, forms the state trend curve of new ship machine equipment；Pass through
It is differentiated on the state trend curve or averaged operation, instantaneous degradation speed or average deterioration speed can be obtained
Degree, and then obtain the specific degradation speed data of the measuring point of ship machine equipment.
In some embodiments, the above-mentioned degradation speed according to each measuring point, prediction ship machine equipment prediction time whether
The step of form for breaking down and breaking down, specifically includes: obtaining the state evaluation threshold value of each measuring point of ship machine equipment；
State representation data and failure mode when state evaluation threshold value breaks down according to ship machine equipment determine；According to each measuring point
Whether the state evaluation threshold value of degradation speed and corresponding measuring point, prediction ship machine equipment broke down and break down in prediction time
Form.
In a specific embodiment, the state evaluation threshold of the above-mentioned degradation speed according to each measuring point and corresponding measuring point
The step of value, the failure mode that prediction ship machine equipment occurred in prediction time can include: according to the degradation speed of each measuring point, really
Determine status predication data of each measuring point in prediction time of ship machine equipment；Compare the status predication data of each measuring point with it is corresponding
The state evaluation threshold value of measuring point；If detecting, the status predication data an of measuring point are greater than or equal to the state evaluation threshold of the measuring point
Value, prediction ship machine equipment break down in prediction time；It obtains status predication data and is greater than or equal to corresponding state evaluation threshold
Whole measuring points of value；According to the setting position of whole measuring points, the failure mode that ship machine equipment occurs in prediction time is predicted.
Wherein, state evaluation threshold value refers to the number that can be evaluated the operating status of each measuring point of ship machine equipment
According to；The corresponding relationship of state representation data and measuring point state evaluation threshold value can break down according to ship machine equipment in the past when into
Row determines, can be a determining critical value, can also be a range intervals.
The different measuring points of same ship machine equipment, corresponding state representation data are generally different；The state representation of same side point
Data are different, and corresponding failure mode can also be different.
For example, the output shaft measuring point of generator is corresponding, there are two types of failure modes, respectively axle fracture and bending shaft；Work as state
When characterize data is greater than a, output shaft measuring point is axle fracture in the failure mode that prediction time occurs；When state representation data are less than
A and when being greater than b, the failure mode that output shaft measuring point occurred in prediction time is bending shaft；When state representation data are less than b,
Output shaft measuring point will not break down in prediction time, can continue to apply in the engineer operation of ship.At this point, generator
The corresponding state evaluation threshold value of output shaft measuring point is a and b.
It should be understood that for the various method embodiments described above, although each step in flow chart is according to arrow
Instruction is successively shown, but these steps are not that the inevitable sequence according to arrow instruction successively executes.Unless having herein bright
True explanation, there is no stringent sequences to limit for the execution of these steps, these steps can execute in other order.And
And at least part step in the flow chart of embodiment of the method may include multiple sub-steps or multiple stages, this is a little
Step or stage are not necessarily to execute completion in synchronization, but can execute at different times, these sub-steps
Perhaps the execution sequence in stage be also not necessarily successively carry out but can with the sub-step of other steps or other steps or
At least part in person's stage executes in turn or alternately.
Based on thought identical with the ship machine equipment failure judgment method in above-described embodiment, ship machine equipment is also provided herein
Device for detecting fault.
In one embodiment, as shown in figure 3, providing a kind of ship machine equipment device for detecting fault, comprising: status information
Obtain module 401, mode decision module 402, data processing module 403, degradation speed determining module 404 and failure predication module
405, in which:
State information acquisition module 401, for obtaining the state of multiple measuring points on the ship machine equipment that acquisition equipment is sent
Information；Multiple measuring points are set according to the failure mode of ship machine equipment；Acquire source of the equipment for the measuring point of receiving sensor acquisition
The status information of information, each measuring point is obtained by the source information that at least one sensor acquires；
Mode decision module 402, for determining the corresponding data processing mode of each measuring point；
Data processing module 403, for carrying out data processing using status information of the data processing mode to each measuring point,
Obtain the state representation data of each measuring point of ship machine equipment；
Degradation speed determining module 404 determines each of ship machine equipment for the state representation data according to each measuring point
The degradation speed of measuring point；
Failure predication module 405, for the degradation speed according to each measuring point, predict ship machine equipment prediction time whether
The form for breaking down and breaking down.
In some embodiments, the source information of ship machine equipment include vibration information, acoustic information, optical information, temperature information,
One of pressure information is a variety of.
In some embodiments, if the source information of ship machine equipment is vibration information, the corresponding sensor of source information includes
Acceleration transducer；Acceleration transducer is for acquiring measuring point at least one of x-axis direction, y-axis direction and z-axis direction side
Upward vibration acceleration information；X-axis direction, y-axis direction and z-axis direction are mutually perpendicular to.
In some embodiments, survey is carried in the status information for multiple measuring points on ship machine equipment that acquisition equipment is sent
The identification information of point；Mode decision module 402, specifically for obtaining the identification information of the measuring point carried in status information；Inquiry
The mapping table of identification information and data processing mode obtains the corresponding data processing mode of identification information；According to identification information pair
The data processing mode answered determines the corresponding data processing mode of each measuring point.
In some embodiments, degradation speed determining module 404, specifically for the state representation data to each measuring point into
Row sampling generates the state trend curve of each measuring point of ship machine equipment according to the data that sampling obtains；According to state trend song
Line determines the degradation speed of each measuring point of ship machine equipment.
In some embodiments, failure predication module 405 is commented specifically for obtaining the state of each measuring point of ship machine equipment
Valence threshold value；State representation data and failure mode when state evaluation threshold value breaks down according to ship machine equipment determine；According to every
The state evaluation threshold value of the degradation speed of a measuring point and corresponding measuring point, prediction ship machine equipment whether break down in prediction time and
The form to break down.
Further, failure predication module 405 determines ship machine equipment specifically for the degradation speed according to each measuring point
Each measuring point prediction time status predication data；Compare the status predication data of each measuring point and the state of corresponding measuring point
Evaluation threshold；If detecting, the status predication data an of measuring point are greater than or equal to the state evaluation threshold value of the measuring point, predict ship
Machine equipment breaks down in prediction time；Obtain whole surveys that status predication data are greater than or equal to corresponding state evaluation threshold value
Point；According to the setting position of whole measuring points, the failure mode that ship machine equipment occurs in prediction time is predicted.
Specific restriction about ship machine equipment device for detecting fault may refer to above for ship machine equipment fault verification
The restriction of method, details are not described herein.Modules in above-mentioned ship machine equipment device for detecting fault can be fully or partially through
Software, hardware and combinations thereof are realized.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in system,
It can also be stored in a software form in the memory in system, in order to which processor calls the above modules of execution corresponding
Operation.
In addition, in the embodiment of the ship machine equipment device for detecting fault of above-mentioned example, the logical partitioning of each program module
It is merely illustrative of, can according to need in practical application, such as the realization of configuration requirement or software for corresponding hardware
It is convenient consider, above-mentioned function distribution is completed by different program modules, i.e., by the inside of ship machine equipment device for detecting fault
Structure is divided into different program modules, to complete all or part of the functions described above.
In one embodiment, a kind of ship machine equipment fault verification system is provided, structure chart can be as shown in Figure 1.It should
Ship machine equipment fault verification system includes multiple sensor (not shown), acquisition equipment and data server；Multiple sensors
The source information of multiple measuring points for acquisition vessel machine equipment is simultaneously sent to acquisition equipment；Failure of multiple measuring points according to ship machine equipment
Form setting；Acquisition equipment is used to obtain the status information of each measuring point of ship machine equipment according to the source information of each measuring point, will
The status information of multiple measuring points is sent to data server；Data server is used to obtain the status information of multiple measuring points；It determines
The corresponding data processing mode of each measuring point；Data processing is carried out using status information of the data processing mode to each measuring point,
Obtain the state representation data of each measuring point of ship machine equipment；According to the state representation data of each measuring point, ship machine equipment is determined
Each measuring point degradation speed；According to the degradation speed of each measuring point, predict whether ship machine equipment occurs event in prediction time
The form for hindering and breaking down.
It will be understood by those skilled in the art that structure shown in Fig. 1, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the ship machine equipment fault verification system being applied thereon to application scheme, specifically
Ship machine equipment fault verification system may include than more or fewer components as shown in the figure, perhaps combine certain components or
With different component layouts.
In one embodiment, providing a kind of ship machine equipment fault verification system includes data server, data service
Device includes memory and processor, is stored with computer program in memory, the processor execute computer program when realize with
Lower step:
Obtain the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；Multiple measuring points are according to ship machine equipment
Failure mode setting；Acquire source information of the equipment for the measuring point of receiving sensor acquisition, the status information of each measuring point by
The source information of at least one sensor acquisition obtains；
Determine the corresponding data processing mode of each measuring point；
Data processing is carried out using status information of the data processing mode to each measuring point, obtains each survey of ship machine equipment
The state representation data of point；
According to the state representation data of each measuring point, the degradation speed of each measuring point of ship machine equipment is determined；
According to the degradation speed of each measuring point, predict what whether ship machine equipment broke down and broke down in prediction time
Form.
In one embodiment, the source information of ship machine equipment include vibration information, acoustic information, optical information, temperature information,
One of pressure information is a variety of.
In one embodiment, if the source information of ship machine equipment is vibration information, the corresponding sensor of source information includes
Acceleration transducer；Acceleration transducer is for acquiring measuring point at least one of x-axis direction, y-axis direction and z-axis direction side
Upward vibration acceleration information；X-axis direction, y-axis direction and z-axis direction are mutually perpendicular to.
In one embodiment, survey is carried in the status information for multiple measuring points on ship machine equipment that acquisition equipment is sent
The identification information of point；Processor also performs the steps of when executing computer program obtains the measuring point carried in status information
Identification information；The mapping table for inquiring identification information and data processing mode, obtains the corresponding data processing mode of identification information；Root
According to the corresponding data processing mode of identification information, the corresponding data processing mode of each measuring point is determined.
In one embodiment, the state to each measuring point is also performed the steps of when processor executes computer program
Characterize data is sampled, and the state trend curve of each measuring point of ship machine equipment is generated according to the data that sampling obtains；According to
State trend curve determines the degradation speed of each measuring point of ship machine equipment.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains the every of ship machine equipment
The state evaluation threshold value of a measuring point；State representation data and failure shape when state evaluation threshold value breaks down according to ship machine equipment
Formula determines；According to the state evaluation threshold value of the degradation speed of each measuring point and corresponding measuring point, predict ship machine equipment in prediction time
The form for whether breaking down and breaking down.
In one embodiment, it also performs the steps of when processor executes computer program according to the bad of each measuring point
Change speed, determines status predication data of each measuring point in prediction time of ship machine equipment；Compare the status predication of each measuring point
The state evaluation threshold value of data and corresponding measuring point；If detecting, the status predication data an of measuring point are greater than or equal to the measuring point
State evaluation threshold value, prediction ship machine equipment break down in prediction time；Status predication data are obtained more than or equal to corresponding
Whole measuring points of state evaluation threshold value；According to the setting position of whole measuring points, the event that ship machine equipment occurs in prediction time is predicted
Barrier form.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；Multiple measuring points are according to ship machine equipment
Failure mode setting；Acquire source information of the equipment for the measuring point of receiving sensor acquisition, the status information of each measuring point by
The source information of at least one sensor acquisition obtains；
Determine the corresponding data processing mode of each measuring point；
Data processing is carried out using status information of the data processing mode to each measuring point, obtains each survey of ship machine equipment
The state representation data of point；
According to the state representation data of each measuring point, the degradation speed of each measuring point of ship machine equipment is determined；
According to the degradation speed of each measuring point, predict what whether ship machine equipment broke down and broke down in prediction time
Form.
In one embodiment, the source information of ship machine equipment include vibration information, acoustic information, optical information, temperature information,
One of pressure information is a variety of.
In one embodiment, if the source information of ship machine equipment is vibration information, the corresponding sensor of source information includes
Acceleration transducer；Acceleration transducer is for acquiring measuring point at least one of x-axis direction, y-axis direction and z-axis direction side
Upward vibration acceleration information；X-axis direction, y-axis direction and z-axis direction are mutually perpendicular to.
In one embodiment, survey is carried in the status information for multiple measuring points on ship machine equipment that acquisition equipment is sent
The identification information of point；It is performed the steps of when computer program is executed by processor and obtains the measuring point carried in status information
Identification information；The mapping table for inquiring identification information and data processing mode, obtains the corresponding data processing mode of identification information；Root
According to the corresponding data processing mode of identification information, the corresponding data processing mode of each measuring point is determined.
In one embodiment, the state to each measuring point is performed the steps of when computer program is executed by processor
Characterize data is sampled, and the state trend curve of each measuring point of ship machine equipment is generated according to the data that sampling obtains；According to
State trend curve determines the degradation speed of each measuring point of ship machine equipment.
In one embodiment, it is performed the steps of when computer program is executed by processor and obtains the every of ship machine equipment
The state evaluation threshold value of a measuring point；State representation data and failure shape when state evaluation threshold value breaks down according to ship machine equipment
Formula determines；According to the state evaluation threshold value of the degradation speed of each measuring point and corresponding measuring point, predict ship machine equipment in prediction time
The form for whether breaking down and breaking down.
In one embodiment, it is performed the steps of when computer program is executed by processor according to the bad of each measuring point
Change speed, determines status predication data of each measuring point in prediction time of ship machine equipment；Compare the status predication of each measuring point
The state evaluation threshold value of data and corresponding measuring point；If detecting, the status predication data an of measuring point are greater than or equal to the measuring point
State evaluation threshold value, prediction ship machine equipment break down in prediction time；Status predication data are obtained more than or equal to corresponding
Whole measuring points of state evaluation threshold value；According to the setting position of whole measuring points, the event that ship machine equipment occurs in prediction time is predicted
Barrier form.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Instruct relevant hardware to complete by computer program, computer program to can be stored in a non-volatile computer readable
It takes in storage medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, this Shen
Please provided by any reference used in each embodiment to memory, storage, database or other media, may each comprise
Non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiments.
The term " includes " of embodiment hereof and " having " and their any deformations, it is intended that cover non-exclusive packet
Contain.Such as contain series of steps or the process, method, system, product or equipment of (module) unit are not limited to arrange
Out the step of or unit, but optionally further comprising the step of not listing or unit, or optionally further comprising for these mistakes
The intrinsic other step or units of journey, method, product or equipment.
Referenced herein " multiple " refer to two or more."and/or", the association for describing affiliated partner are closed
System indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, individualism
These three situations of B.Character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Referenced herein " first second " be only be the similar object of difference, do not represent for the specific of object
Sequence, it is possible to understand that specific sequence or precedence can be interchanged in ground, " first second " in the case where permission.It should manage
The object that solution " first second " is distinguished is interchangeable under appropriate circumstances so that the embodiments described herein can in addition to
Here the sequence other than those of diagram or description is implemented.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of ship machine equipment failure judgment method, which comprises
Obtain the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；The multiple measuring point is according to the ship machine
The failure mode of equipment is set；Source information of the acquisition equipment for the measuring point of receiving sensor acquisition, each measuring point
The status information obtained by the source information that at least one sensor acquires；
Determine the corresponding data processing mode of each measuring point；
Data processing is carried out using the status information of the data processing mode to each measuring point, obtains the ship machine equipment
Each measuring point state representation data；
According to the state representation data of each measuring point, the degradation speed of each measuring point of the ship machine equipment is determined；
According to the degradation speed of each measuring point, predict whether the ship machine equipment broke down and occur former in prediction time
The form of barrier.
2. the method according to claim 1, wherein the source information of the ship machine equipment includes vibration information, sound
One of message breath, optical information, temperature information, pressure information are a variety of.
3. according to the method described in claim 2, it is characterized in that, if the source information of the ship machine equipment be vibration information,
The corresponding sensor of the source information includes acceleration transducer；The acceleration transducer is for acquiring the measuring point in x-axis
The vibration acceleration information at least one direction in direction, y-axis direction and z-axis direction；The x-axis direction, y-axis direction and
Z-axis direction is mutually perpendicular to.
4. method according to any one of claims 1 to 3, which is characterized in that the ship machine equipment that the acquisition equipment is sent
On multiple measuring points the status information in carry the identification information of measuring point；
The step of each measuring point of determination corresponding data processing mode, comprising:
Obtain the identification information of the measuring point carried in the status information；
The mapping table for inquiring identification information and data processing mode, obtains the corresponding data processing mode of the identification information；
According to the corresponding data processing mode of the identification information, the corresponding data processing mode of each measuring point is determined.
5. method according to any one of claims 1 to 3, which is characterized in that the state representation according to each measuring point
Data, the step of determining the degradation speed of each measuring point of the ship machine equipment, comprising:
The state representation data of each measuring point are sampled, generate each of described ship machine equipment according to the data that sampling obtains
The state trend curve of measuring point；
The degradation speed of each measuring point of the ship machine equipment is determined according to the state trend curve.
6. method according to any one of claims 1 to 3, which is characterized in that the deterioration according to each measuring point
Speed, the step of predicting the form whether the ship machine equipment was broken down and broken down in prediction time, comprising:
Obtain the state evaluation threshold value of each measuring point of the ship machine equipment；The state evaluation threshold value is according to the ship machine equipment
State representation data and failure mode when breaking down determine；
According to the state evaluation threshold value of the degradation speed of each measuring point and corresponding measuring point, predict the ship machine equipment in prediction time
The form for whether breaking down and breaking down.
7. according to the method described in claim 6, it is characterized in that, the degradation speed according to each measuring point and corresponding measuring point
State evaluation threshold value, the step of predicting the failure mode that the ship machine equipment occurred in prediction time, comprising:
According to the degradation speed of each measuring point, status predication number of each measuring point in prediction time of the ship machine equipment is determined
According to；
Compare the status predication data of each measuring point and the state evaluation threshold value of corresponding measuring point；
If detecting, the status predication data an of measuring point are greater than or equal to the state evaluation threshold value of the measuring point, prediction
The ship machine equipment breaks down in prediction time；
Obtain whole measuring points that the status predication data are greater than or equal to the corresponding state evaluation threshold value；
According to the setting position of whole measuring points, the failure mode that the ship machine equipment occurs in prediction time is predicted.
8. a kind of ship machine equipment device for detecting fault, which is characterized in that described device includes:
State information acquisition module, for obtaining the status information of multiple measuring points on the ship machine equipment that acquisition equipment is sent；Institute
The failure mode that multiple measuring points are stated according to the ship machine equipment is set；The acquisition equipment is described for receiving sensor acquisition
The status information of the source information of measuring point, each measuring point is obtained by the source information that at least one sensor acquires；
Mode decision module, for determining the corresponding data processing mode of each measuring point；
Data processing module, for being carried out at data using the status information of the data processing mode to each measuring point
Reason, obtains the state representation data of each measuring point of the ship machine equipment；
Degradation speed determining module determines each survey of the ship machine equipment for the state representation data according to each measuring point
The degradation speed of point；
Failure predication module predicts that the ship machine equipment is in prediction time for the degradation speed according to each measuring point
The no form for breaking down and breaking down.
9. a kind of ship machine equipment fault verification system, which is characterized in that including multiple sensors, acquisition equipment and data service
Device；
The multiple sensor is used for the source information of multiple measuring points of acquisition vessel machine equipment and is sent to the acquisition equipment；It is described
Multiple measuring points are set according to the failure mode of the ship machine equipment；
The acquisition equipment is used to obtain the status information of each measuring point of the ship machine equipment according to the source information of each measuring point,
The status information of the multiple measuring point is sent to the data server；
The data server is used to obtain the status information of the multiple measuring point；Determine the corresponding data processing mould of each measuring point
Formula；Data processing is carried out using the status information of the data processing mode to each measuring point, obtains the ship machine equipment
Each measuring point state representation data；According to the state representation data of each measuring point, each survey of the ship machine equipment is determined
The degradation speed of point；According to the degradation speed of each measuring point, predict whether the ship machine equipment occurs event in prediction time
The form for hindering and breaking down.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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Application publication date: 20190723 |