CN105388784B - The data collection of adaptability and state-driven - Google Patents
The data collection of adaptability and state-driven Download PDFInfo
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- CN105388784B CN105388784B CN201510515913.1A CN201510515913A CN105388784B CN 105388784 B CN105388784 B CN 105388784B CN 201510515913 A CN201510515913 A CN 201510515913A CN 105388784 B CN105388784 B CN 105388784B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Abstract
A method of data collection parameters of the state automatic adjustment for the machine on data collection route in the portable collection device that technician uses based on machine.For each machine on data collection route, the state of machine is read into portable collection device.It is based at least partially on the state of machine, machine is incorporated in data collection route automatically, or machine is excluded from data collection route.The first tentation data automatically configured with the state for being based at least partially on be incorporated to machine collects parameter group to automatically configure portable collection device.Parameter group is collected based on the first tentation data with portable collection device and collects primary data group from the machine being incorporated to.The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine automatically analyzes primary data group, to determine alarm.
Description
Technical field
The present invention relates to the fields of predictive maintenance of machine (PdM).More particularly it relates to which adaptability and state are driven
Use of the dynamic data collection in predictive maintenance of machine.
Background technique
Most of some type of maintenances of mechanical needs are to keep in service condition.Former, once machine stops
Correct work, such as break down, or show it when it becomes easy and need to safeguard, for example, generate noise, generate it is excessive
Heat or when not having even running, i.e., safeguard machine.However, before breaking down until machine, usually to its maintenance
With many problems, for example, subsidiary damage, the inconvenience in terms of the timing of failure, shut-down, to the damage of technician and this
A little relevant excessive costs, it is such.
As long as predictive maintenance is by the operation of monitoring machine and its sign for starting to show problem is i.e. when convenient
It carves and provides maintenance at least partly reduce many such problems.
Predictive maintenance is usually directed in the data in daily collecting robot, such as vibration, temperature, sound and thermal imagery extremely
Few one kind, and these data are compared with operation standard and historical data, to determine whether this indicates that the machine exists
Problem.Such technology is usually well known in the art.
However, it is very difficult to know should when obtain these data, should with what frequency come obtain these data, should
It obtains how many data and these data should be obtained under what environment, so that the situation with machine is fully understood.This
One answer of a little problems can be, more as far as possible, frequent to not lose anything as far as possible.But such maintenance program does not have
Effective percentage, and excessive time and money is wasted on monitoring machine.
Summary of the invention
Data collection is used for by the state automatic adjustment in the portable collection device that technician uses based on machine
The method of the data collection parameters of the machine on route meets the above needs and other needs.The data are received
Collect each machine on route, the state of the machine is read into the portable collection device.It is based at least partially on
Machine is incorporated in data collection route by the state of machine automatically, or machine is excluded from data collection route.With at least partly
The first tentation data that ground is automatically configured based on the state for the machine being incorporated to collects parameter group to automatically configure portable collection
Equipment.Parameter group is collected based on first tentation data with portable collection device and collects primary data from the machine being incorporated to
Group.The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is automatically analyzed
Primary data group, to determine alarm.Based on alarm, parameter group is collected immediately selectively automatically from institute based on the second tentation data
The machine being incorporated to collects the second data group, and second tentation data collects parameter group and is based at least partially on be incorporated to machine
State and the alarm automatically configure.It is also based on alarm, selectively promotes the technician with portable collection device
It takes predefined action and collects third data group from the machine being incorporated to.The behavior and third data group are based on third tentation data
Parameter group is collected, the third tentation data collection parameter group is based at least partially on the state of be incorporated to machine and alarm comes from
Dynamic configuration.
In some embodiments, the step that the state of the machine is read into the portable collection device includes following
At least one of: the machine parameter for indicating the state of the machine, the skill are directly measured with the portable collection device
Art person will manually indicate that the machine parameter of the state of the machine inputs in the portable collection device, and will refer to automatically
Show that the machine parameter of the state of the machine is downloaded in the portable collection device from remote equipment.
In some embodiments, the state of the machine includes at least one of the following: operation, idle, runing time
Length, standby time length, the speed of service, machine age, machine type and the machine processing material.In some embodiments,
The data collection parameters group is set in at least one processor of the portable data collection equipment, remote computation system
It unites and is obtained by the portable data collection equipment by data network.
In some embodiments, the data group includes at least one of the following: vibration, temperature, thermal imagery, sound, oil
The assessment of sample and technician.In some embodiments, the predefined action that the technician takes includes by described portable
Formula data collection facility instructs at least one of the following: to the machine that is incorporated to carry out impact test, movable sensor and
It returns at the time of afterwards to be read out.
According to another aspect of the present invention, it describes in the portable collection device that technician uses based on machine
Method of the state automatic adjustment for the data collection parameters of the machine on data collection route.For the data collection
Each machine on route, the state of the machine is read into the portable collection device, and the portable collection is set
The first tentation data that the spare state for being based at least partially on be incorporated to machine automatically configures collects parameter group to match automatically
It sets, parameter group is collected based on first tentation data with portable collection device and collects primary data from the machine being incorporated to
Group.The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is automatically analyzed
The primary data group, to determine alarm.Based on alarm, the skill with the portable collection device is selectively promoted
Art person takes predefined action and collects third data group from the machine being incorporated to.The behavior and the third data group are based on the
Three tentation datas collect parameter group, and the third tentation data collects the state that parameter group is based at least partially on be incorporated to machine
It is automatically configured with alarm.
According to another aspect of the present invention, it describes in the portable collection device that technician uses based on machine
Method of the state automatic adjustment for the data collection parameters of the machine on data collection route.For the data collection
Each machine on route, the state of the machine is read into the portable collection device, and the portable collection is set
The first tentation data that the spare state for being based at least partially on be incorporated to machine automatically configures collects parameter group to match automatically
It sets, parameter group is collected based on first tentation data with portable collection device and collects primary data from the machine being incorporated to
Group.The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is automatically analyzed
Primary data group.
According to another aspect of the present invention, it describes in the portable collection device that technician uses based on machine
Method of the state automatic adjustment for the data collection parameters of the machine on data collection route.For the data collection
Each machine on route, the state of the machine is read into the portable collection device, and the portable collection is set
The first tentation data that the spare state for being based at least partially on be incorporated to machine automatically configures collects parameter group to match automatically
It sets, parameter group is collected based on first tentation data with portable collection device and collects primary data from the machine being incorporated to
Group.The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is automatically analyzed
Primary data group, to determine alarm.Based on alarm, parameter group is collected immediately selectively automatically from institute based on the second tentation data
The machine being incorporated to collects the second data group, and second tentation data collects parameter group and is based at least partially on be incorporated to machine
State and the alarm automatically configure.
According to another aspect of the present invention, the shape in the portable collection device that technician uses based on machine is described
Method of the state automatic adjustment for the data collection parameters of the machine on data collection route.For the data collection road
Each machine on line, the state of the machine is read into the portable collection device.It is based at least partially on machine
State, machine is incorporated in data collection route automatically, or by machine from data collection route exclude.
In some embodiments of this aspect according to the present invention, one in the data collection parameters adjusted is institute
State the scheduling interval of machine.In some embodiments, it during executing the data collection route, is based at least partially on described
The variation of the state of machine will be incorporated to the data collection route from the machine that the data collection excludes before automatically
In.
Detailed description of the invention
Now detailed description in conjunction with the accompanying drawings is to make other advantages of the invention it is clear that in order to more clearly show
Details, the attached drawing is not in proportion, wherein in some drawings, identical appended drawing reference indicates identical element, and
Wherein:
Fig. 1 is according to an embodiment of the invention for determining the flow chart of the method for data collection parameters；
Fig. 2 is according to an embodiment of the invention for determining the flow chart of the method for machine state；
Fig. 3 is the state according to an embodiment of the invention for based on machine the stream of the method for alarm levels is arranged
Cheng Tu；
Fig. 4 is the flow chart of the method according to an embodiment of the invention for adaptation data collection path；
Fig. 5 is the functional block diagram of portable data collection equipment according to an embodiment of the invention.
Specific embodiment
Collection device
As shown in figure 5, this document describes portable, hand-held, programmable data collecting device 500 multiple embodiments.
The following describe the summaries for the component type for including in collecting device 500.It is to be appreciated that in multiple embodiments of collecting device 500
In, any subset including described component, or multiple examples including at least some of the component.It should also be appreciated that
Interconnection is representative described in Fig. 5, and in some embodiments, multiple components in these components are directly with one another
Connection, and do not make path of all connections all via processor 502.
In various embodiments, collecting device 500 includes being in the processor 502 reinforced in shell 524, man-machine interface
504, display 506, memory 508, sensor 510, sensor input 512, port 514, battery 516, input power mouth
518, output section 520 and signal processor 522.
Processor 502 controls at least partly operation and communication to collecting device 500, and in various embodiments,
For at least one of general processor, ASIC and FPGA.In some embodiments, memory 508 is DRAM, and includes place
Reason device 502 is used to control the instruction of collecting device 500, the data that collecting device 500 is collected and collects outside collecting device 500
Instruction.Some embodiments include that can remove database, for example, micro- SD card.
In various embodiments, display 506 includes the flat panel video screen with touch screen.In some embodiments,
Interface 504 includes one of stylus, keyboard and touch tablet input unit or a variety of.In some embodiments, battery 516 include can
Replace at least one of battery or rechargeable battery --- for example, lithium battery ---.In some embodiments, power input
518 are used to provide at least one of AC and DC electric power to collecting device 500, such as recharging to battery 516 and to receipts
At least one purpose in the offer operation power of equipment 500 is provided.
In various embodiments, sensors inputs 512 include collecting vibration data, temperature data, voice data, thermal imagery
With one or more input units of the external sensor of steam perception.In various embodiments, input unit 512 is from such sensing
Device --- for example can be configured to probe geometries --- receives initial data, or the data improved via external equipment, and will
Data flow is provided to collecting device 500.In some embodiments, by some sensors 510, such as the previously described sensor,
It is built in collecting device 500.
Some embodiments of collecting device 500 include signal processor 522, such as one or more for may be from sensing
The analogue-to-digital converters and dedicated signal conditioning circuit of device 510 or the received analogue data of sensors inputs 512,
Such as filter and domain transformer, amplifier etc..
In some embodiments, port 514 includes for example with lower component: wireless ethernet is (for example, by multiple IEEE
The definition of 802.11 standards), cellular data transceiver (for example, being defined by IEEE 802.16,802.20 and other standards), such as
The connection of the wired networks such as Ethernet, bluetooth and other communication protocols.Some embodiments of collecting device 500 include delivery outlet
520, for example, video output, signal output (for example, come from sensor 510, sensors inputs 512, or otherwise),
USB connection and other modes.
In various embodiments, the shell 524 of reinforcing is formed by least one of metal and plastics.In some embodiments
In, shell 524 is non-hermetic, and in further embodiments, and shell 524 is to other groups being set in shell 524
Part provides the protection of substantially gas-tight property.In some embodiments, shell 524 is at least dust-proof to a certain degree, waterproof and shockproof,
And a degree of thermal insulation is provided for collecting device 500.
Collecting device 500 is small enough to be supported by technician's one hand, and is gently arrived and be enough to enable technician from machinery
A part walk on the road of another part and carry it.In some embodiments, battery 516 is enough to make collecting device 500
Electric power is provided to the other assemblies of sensor 510, port 514 and collecting device 500, and the time span foot of electric power is provided
So that technician obtains data and at least one below on his route: storing data and data being uploaded to center
Data storage bank.
It summarizes
The data collection techniques of adaptability and state-driven are adapted to collecting device 500 based at least one of the following
Any data how collected and collect: (a) state of just monitored machine, (b) timing information, such as timetable, and
(c) external input from other equipment and system.Such as it is aobvious by the way that data collection route to be read and machine to be shown in
Show on device and provides this information to technician.Multiple embodiments of the invention make it possible to the number by adaptability and state-driven
According to collection technique and collection device 500 described above and equipment communicator, calibrator, check camera and portable gas
Discovering device is used together.
Word " adaptability " in this context, which refers to, to be adjusted to change the ability of situation, in some embodiments, institute
Adjusting is stated to carry out automatically.By way of example, in some embodiments, Adaptive Data is applied to PdM route, set
The standby preventative maintenance inspection for checking that route, walking are circular, thermal imaging investigation, ultrasonic leak detection, steam trap check road
Line and the investigation of electric power ray examination.
Data collection timetable for each machine is generally determined by least one of the following: (a) machine type,
(b) Process Duty, (c) state of machine, (d) situation of machine, etc..It means that the machine in particular course can have
Different data collection timetables.Be downloaded to collecting device 500 route investigation or other check information --- for example pass through
Port 514 is downloaded --- at the time of comprising mapping out the carry out data collection to each machine, and in the walking route,
Data collection is carried out by only the machine in specified time window is in those.
The range of machine state is from simple conditions, such as (a) operation, to idle, (b) speed of service, (c) electric current operation is negative
It carries, (d) material handled, (e) machine temperature, (f) machine age, (g) running environment and (h) machine are run much good or how poor, are arrived
More complicated situation, such as based on possibility problem indicated by reading before.In the case where for example planting example afterwards, people is analyzed
At the time of member can plan to carry out extra data collection.The state of instrument can be used for assisting in many aspects of data collection, example
Such as following items.
Collect the frequency of data.For example, optimal maximum data collection frequency is how many under prescribed conditions?
When data are collected.For example, if machine is not that should not collect data under load.
What data should be collected? for example, collecting parameter A when pumping liquid X；When pumping liquid Y, ginseng is collected
Number A and B.
What data should be stored? for example, only storing spectrum and waveform when parameter is in alarm state.
Machine state can also be the factor related with collected metadata.For example, it can be determining alarm levels, report
Interval, data collection timetable etc..
In some embodiments, there are at least two moment of determining and recorder state, the moment is that (a) exists
Before will carrying out data collection, and (b) just complete after data collection.Therefore, although not required, but it is desirable to receiving every time
State that is determining and reevaluating machine when collection and analysis data.
Method described herein can be applied to specific machine, the group of similar machine or the machine in particular course.Herein
Word " machine " used also refers to the instrument and other equipment that can comply with method described herein.Unless a required step needs
The particular order of the input as caused by preceding step, the step of being otherwise described below is not deliberately.
Setting
In one embodiment, the first step in setting method is to identify that the state of specified machine is.For example,
The different conditions of machine may be defined as different machine condition groups, wherein from machine collect data based on the state of machine without
Together.
In some embodiments, second step is the variable (and their value) for the state that identification indicates machine.These become
Amount can be determined in itself by such as data collection facility 500, inputted by counting personnel or be received from remote location through network.
In some embodiments, third step be for a variety of machine states each it is determined that data collected.
4th step is previously stored setting information defined in above step.In some embodiments, which is stored up
It is stored in memory, is stored after completing all steps or after each step.The memory can be arranged in for example remote
In journey computer, memory can be the memory 508 or some combination of the two in collecting device 500.
Data collection
5th step of entire method is put into setting information in collecting device 500.Setting information is being downloaded to collection
After in equipment 500, prepare to collect data, that is, the 6th step of the method.As a part of this method, machine is determined
State.
In some embodiments, collecting device 500 includes needed for reading the variable identified in the second step of setting method
The circuit wanted, and the practical state for determining machine.Airborne (on-board) sensor 510 can be used by input unit 512
These variables are read, or are obtained from remote source through such as port 514.But in some embodiments, user determines machine
The state of device, and be entered into collecting device 500.
Collecting device 500 is configured to read from suitably by the current state based on machine as determined from the setting method
Predefined data group.If not can determine that the current state of machine due to some, in some embodiments by collecting
Equipment 500 reads scheduled default PdM data group.
After reading data, that is, carry out the 7th step --- analysis data.In some embodiments, this is by collecting device
500 complete, and in further embodiments, by sending data to ppu and analyzing data there come complete
At.Other embodiments use some combination of the two.Collected data and machine state are potentially based on to the analysis of data
The one or more alarms defined during setting method of triggering.In some embodiments, the analysis of data is stood after collection
It is i.e. automatic to carry out, and without any intervention by technician.
In some embodiments, to data corresponding with machine state analysis shows that additional data should be collected, that is,
Carry out step 8.If it is, then also reading extra data (step 6) by collecting device 500 and being analyzed (step 7).Directly
It waits collecting to not more data and just completes the step.
In some embodiments, step 9 is that collected data are delivered to long-range calculating system from collecting device 500
System is designed to long-term trend and analysis machine health.In some embodiments, which maintains receives from machine
Collect status information when data, thus historical data can be mapped with machine state when collecting the data.
The analysis of collected data and machine state may be shown, it can be suitable for adjusting the data collection timetable of machine
When, that is, step 10.For example, the analysis may be shown, data safely can be collected with lower frequency.Alternatively, described point
Analysis may show, the data of the higher frequency collecting robot of table at the time of should be with than the foregoing description.In some embodiments, exist
The analysis is carried out at least one of collecting device 500 and remote computing device.
Step 11 is that the data collection program of any change is made to synchronize back collecting device 500.In some embodiments, institute
Stating analysis and machine state may show, should collect more data, immediately or following some specified points collect or according to
Table is collected at the time of determination.
Exemplary embodiment
Referring now to fig. 1 to 4, an exemplary embodiment of method as described above is provided, and set in the collection of Fig. 5
Implement in standby 500.It is to be appreciated that the embodiment of the present invention not all limits the range or sequence of steps of the embodiment of description.
In Fig. 1, data collection program 100 is described, originates in frame 102.As being determined described in frame 104
Whether status information can be used specified machine.If available to machine without status information, as described in frame 106, to receipts
Collect the programming of equipment 500 to collect the data group of default from machine.But if status information is available, such as frame 108,110
Described in 112, collecting device 500 attempts to determine which kind of state machine is under.If it is determined that the predetermined state of machine, then
As described in frame 114,116 and 118, collecting device 500 collects scheduled data group related with machine state.But if
State cannot be determined from by the data and input that determine machine state, then as described in frame 106, collect default number again
According to.
After collecting device 500 has had collected desired tentation data group, no matter its for state specificity or
Default, i.e., as described in frame 120, data are analyzed.As described above, it can be analyzed in collecting device 500, or
It is sent to for carrying out remote computing device wherein, result is then sent back into collecting device 500.In any embodiment,
The analysis can all be sent automatically, without any input from technician.As a part of analysis, by data and threshold limit
It is compared, to any beyond all generation alarm conditions and at least one of the adjusting of collection interval of the limit.
As described in frame 122, some alarm condition triggerings collect extra data from machine.If it is, then wanting
It asks and he is prompted by collecting device 500 when any behavior of technician part.In some embodiments, technician can be promoted to adopt
The behavior taken includes for example one of following or a variety of: to the impact test of machine, movable sensor, time point afterwards
It returns additionally to be read, and the operation of machine is made to change.
In some embodiments, if not requiring the intervention of technician, as described in frame 124, collecting device 500 automatically into
And additional data collection is carried out, without the further input from technician.When having had collected all desired data,
It is such as scheduled during setting by engineer, then as described in frame 126, completed for the data collection program of the machine.
Fig. 2 provides one embodiment in step 108,110 and 112 for wherein determining machine state about Fig. 1
More details.The method of analysis machine state starts from frame 202.As described above, machine is determined using one or more variables
The state of device.These variables are defined during setting method, such as are defined by engineer.For different machines, the source of variable
Can be different, and even specified machine can also be used from not homologous variable, use the variable as determining machine state
Input.
The source of these variables may include for example, directly being measured, being come from by what the sensor 510 on collecting device 500 carried out
Be inserted into input in input port 512, the received information of port 514, on interface 504 from the input of technician, or before
The alarm of generation.As described in frame 204, these sources are all determined by setting data.
As shown at block 206, then the method according to shown in frame 204 reads multiple state variables.As its a part, receive
Collection equipment 500 can read automatically it is some in expected data, from another source downloading or guidance technology person take specific row
To read data or input data.
After having captured all status datas, or some combinations after capturing every part of status data, or both, such as
Start in frame 208, status data is evaluated.If this part of status data is that logical value is commented as described in frame 210
Estimate the logical value.If this part of status data is numerical value, the limit of itself and engineer's determination during setting method is carried out
Compare.When after completing this step, as indicated by frame 124, determining that the status data is to all aggregated status datas
It is no to indicate given state.
In one embodiment, which is completed by following: the predefined situation in instruction designated state is loaded, it will
The variable collected is compared with the group of the predefined situation, and exports the label whether expression candidate state matches variable.Such as
Fruit matching, then the situation is true, that is, has had matched designated state.If it does not match, by the predefined situation of another state
Group be compared with the variable collected, and so on, until find matching status.If not finding matching status, by
The data group of state specificity is replaced in the generation of data group that collecting device 500 collects default.
Referring now to Fig. 3, which describe one that collecting device 500 is used to execute the method for the data analysis 120 of Fig. 1
Embodiment, this method start from frame 302.As described in block 304, as initiation event, whether right it is determined status information
Specified machine is available, this with above for similar described in Fig. 1, wherein load data collection setting.In some embodiments,
The shape body information of the machine determined in the method 100 of Fig. 1 is saved, and does not need to be repeated.But in some embodiments
In, as described below, repeated collection equipment 500 is by the method for determining machine state.In some embodiments, using such as Fig. 2
Described in method determine the state of machine.
If available to machine without status information, as described in frame 306, collecting device 500 is programmed silent to use
The data analysis group recognized.But if status information is available, as described in frame 308,310 and 312, collecting device 500
Attempt to determine which kind of state machine is under.If it is determined that the predetermined state of machine, then as described in frame 314,316 and 318,
Collecting device 500 analyzes data using scheduled limit group relevant to machine state and program groups.But it if cannot be from
By the data for determining machine state and the state of determination is inputted, then as described in frame 306, again using the data point of default
Analysis.
As described above, to any beyond alarm condition is all generated of the limit, it is remembered as described in frame 308
Record, then this method is concluded as depicted by a block 310.
Fig. 4 describes one embodiment of method 400, wherein being set based on the state of the machine along route to be adapted to collection
The route that standby 500 couples of technicians show.This method starts from frame 402, and wherein technician's selection is for data collection and analysis
It is expected that route, such as it is clear by using such route that man-machine interface 504 is shown from the display 506 of collecting device 500
Singly selected.As described in frame 404, relevant to selected route is the machine for being identified as belonging to selected route before
Inventory, such as identified by engineering.
In some embodiments, collecting device 500 accesses the number in multiple data sources, such as remote computation or storage equipment
According to record, to determine whether data are collected from each machine on the route.In some embodiments, the state of machine is worked as
Determine, and collecting device 500 be based at least partially on the state of machine determine from the machine collect data it is whether suitable.
In some embodiments, table at the time of collecting device 500 only observes the data collection of recorded machine, by its with finally collect
Record sheet when data is compared, and determines whether for the machine to be incorporated to the route.
In some embodiments, determining from specified machine aggregated data is made whether when technician is in by machine
It is fixed.In further embodiments, machine is incorporated to route at the beginning of route develops, or is excluded from route, then technician
Start the walking route.In some embodiments, using the combination of both methods, and route selection start to be incorporated to or
Exclude some machines, and for example when technician will collect data from machine, the state based on machine is incorporated to or excludes separately
Some machines.
Under any circumstance, if described in block 406, machine should be used for data collection, then come as described in frame 408
Data are collected, step is corresponding with the method 100 of Fig. 1.As described in frame 410, it is determined whether collect more machines on route.
If collected, this method is back to frame 404, and if do not collected, and as described in frame 412, completes route and data are received
Collection.
Use example
Extra data based on collected data is collected
In this case, the engineer for defining data collection route wishes the amount and correlation of collected data
Data collection time it is minimum relative to the machine that suitably runs.But if normal data and machine state show that machine can
There can be problem and trigger alarm (defining alarm condition during setting method), then engineer wants to collect the skill of data
Art person collects additional data before leaving the place.In this case, during setting method, engineer is predefined
For in the case where alarm occurs to normal data by the additional data collection parameters group of the data of collection.Data collection is set
Standby 500 obtain additional data in the case where the engineer without technician or definition route in place intervenes.
Embodiment
It if be read out on induction conductivity, and include the analysis parameter triggering police of AC current peak (that is, 120Hz)
Report emits higher resolution ratio spectrum then to distinguish 2 × RPM and 2 × line frequency.
If measurement triggers any kind of high frequency alarm, extend the frequency measured, lay equal stress on collect data so that
Analyst has the exact signal frequency feature in high-frequency domain.
If initial read is shown, the vibrational energy of signal portion be it is hyposynchronous, then carry out SST measurement to be directed to
The more accurate value of the lower part of spectrum.
Benefit
Save the time: because of additional data collection when technician has been in machine place, without returning later
Machine is returned to collect extra data.
Save measurement position: some readings can be carried out only in specific position.If the first measurement detects at the A of position,
And technician was returned later to collect additional diagnostic data at position B (its can very close position A), then was read newly
Vibration signal in the defect mode may be sightless.
Capture temporal event: some machine defects are induced by the particular configuration of manufacturing method.In the method configuration A phase
Between the initial read collected can show the sign of clear mechanical defect --- for example resonating ---.If technician is later
Moment returns to collect additional diagnostic data, then the machine can be run under different conditions, and wherein the defect is no longer visible.
Intermittent duty: many machines are only by the requirement intermittent duty of production method.It is carried out just on the machine in operation
Beginning to read can promote personnel to return to collect additional diagnostic data on the date afterwards, but machine does not rerun；Therefore, do not have
Have an opportunity to collect any additional data.
Additional measurement request
In this case, if certain situations are really, the engineer for defining route wishes to collect volume on machine
External information, this requires the additional act of the technician in machine place.In this case, once having rated the current of machine
State or collection and after having rated initial data, that is, determine, technician should change common method and collect extra data.The volume
Outer data, which should be at different measurement positions or its, can need the participation of technician, such as impact test.Once collecting device
After 500 determinations need to carry out additional data collection, that is, technician is promoted to take specific behavior to receive data.
Embodiment
If initial read is shown, the vibrational energy of signal portion be it is asynchronous, then promote technician connect tachometer,
Velocity Detection algorithm is carried out, is then reappraised with improved tachometric survey, or uses new tachometric survey as the base read
Plinth collects reading again.
If the data collected show that the shock for promoting technician to carry out some numbers to machine there may be resonance is surveyed
Examination, then by carriage return to subtract speed of service vibration from reading.
Benefit
Save the time: because of additional data collection when technician has been in machine place, without returning later
Place is gone back to collect extra data.
Capture temporal event: some machine defects are induced by the particular configuration of manufacturing method.In the method configuration A phase
Between the initial read collected can show the sign of clear mechanical defect, --- for example resonating ---.If personnel are later
Moment returns to collect additional diagnostic data, then the machine can be run under different conditions, and wherein the defect is no longer visible.
Intermittent duty: many machines are only by the requirement intermittent duty of production method.It is carried out just on the machine in operation
Beginning to read can promote technician to return to collect additional diagnostic data on the date afterwards, but machine does not rerun；Therefore,
It has no chance to collect any additional data.
Pump multiple material
In this case, user, which has, pumps the change of the material of different viscosities or different aggregation contents in different moments
Speed motor pump.These different predetermined states collect requirement to different tentation datas and different predetermined alarm levels are related.
The different routes for collecting parameter setting state-driven that Utility Engineers define for each state of machine, and produce suitable police
Report horizontal reference.In data collection, the current state of machine is automatically determined by communicating with control system of machine, or is moved
Personnel's observation is manually entered with technician's to determine.The load of collecting device 500 is suitable for the scheduled collection of machines current state
Parameter group, and data are evaluated with suitable alarm reference.
Adaptability route
In this case, technician has the route of its walking, to collect data on one group of machine.These machines are each
From the tentation data collection time table with themselves, it is set in collecting device 500.Each machine of dynamically adapting is made
At the time of table uniline rather than make multiple routes for multiple data collection timetables.The dimension of this route simplified
Shield.
Multiple embodiments of description can partly or entirely be set by one or more embodiments hand-held PdM of the invention herein
Standby producer executes by service organization or by the terminal user of equipment.
Some embodiments can be completed in collecting device 500, or can be in the assistance of second equipment such as such as private computer
Lower completion.For example, step 7 and 8 can be completed by collecting device 500 completely, or by uploading data from step 6, such as pass through
Wireless network, until remote computer, automatically analyzes data (step 7) on the remote computer, it is determined whether needs are remotely being counted
Additional data (step 8) is collected on calculation machine, then, if necessary, additional instruction is downloaded to collecting device 500.
It has been in illustration and descriptive purpose provides the description of the embodiment of the present invention above-mentioned.It is not anticipated
Figure exhaustion limits the invention to disclosed precise forms.It can obviously be modified under the enlightenment of above teaching
And deformation.Some embodiments have been chosen and described to provide the description to the principle of the invention and its practical application, and thereby have made this
Field technical staff can be in various embodiments using the present invention, and carries out a variety of modifications according to expected special-purpose.
When according to by fair, legal and equitably entitle width to explain, all such modifications and deformation are all fallen in by institute
In the scope of the present invention that attached claims determine.
Claims (27)
1. a kind of state automatic adjustment in the portable collection device that technician uses based on machine is used for data collection road
The method of the data collection parameters of the machine on line, the described method comprises the following steps:
For each machine on the data collection route:
The state of the machine is read into the portable collection device,
It is based at least partially on the state of the machine, the machine is incorporated in the data collection route automatically, or by institute
Machine is stated to exclude from the data collection route,
Parameter group is collected with the first tentation data that the state for being based at least partially on be incorporated to machine automatically configures come automatic
The portable collection device is configured,
Parameter group is collected based on first tentation data with the portable collection device to collect initially from the machine being incorporated to
Data group,
The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is divided automatically
The primary data group is analysed, to determine alarm,
Based on the alarm, parameter group is collected based on the second tentation data and is selectively collected automatically from the machine being incorporated to immediately
Second data group, second tentation data collect the state and the police that parameter group is based at least partially on be incorporated to machine
It offers and automatically configures, and
Based on the alarm, the technician with the portable collection device is selectively promoted to take scheduled row
For, and third data group is collected from the machine being incorporated to, wherein the behavior and the third data group are based on third predetermined number
According to collecting parameter group, the third tentation data collects parameter group and is based at least partially on the state of be incorporated to machine and described
Alarm automatically configures.
2. the method as described in claim 1, wherein reading the state of the machine into the portable collection device
Step includes at least one of the following:
The machine parameter for indicating the state of the machine is directly measured with the portable collection device,
The technician will manually indicate that the machine parameter of the state of the machine inputs in the portable collection device, with
And
Automatically the machine parameter for indicating the state of the machine is downloaded in the portable collection device from remote equipment.
3. the method as described in claim 1, wherein the state of the machine includes at least one of the following: run, is idle,
Runing time length, standby time length, the speed of service, machine age, machine type and the machine processing material.
4. the method as described in claim 1, wherein the data collection parameters group is set at least one of the following:
Memory on the portable collection device, and
Remote computing system, and obtained by the portable collection device by data network.
5. the method as described in claim 1, wherein the data group includes at least one of the following: vibration, temperature, heat
Picture, sound, oil samples and the assessment of technician.
6. the method as described in claim 1, wherein the predefined action that the technician takes includes by described portable
At least one of the following of collecting device guidance: to the machine that is incorporated to carry out impact test, movable sensor and with
It returns at the time of afterwards to be read out.
7. a kind of state automatic adjustment in the portable collection device that technician uses based on machine is used for data collection road
The method of the data collection parameters of the machine on line, the described method comprises the following steps:
For each machine on the data collection route:
The state of the machine is read into the portable collection device,
Parameter group is collected with the first tentation data that the state for being based at least partially on be incorporated to machine automatically configures come automatic
The portable collection device is configured,
Parameter group is collected based on first tentation data with the portable collection device to collect initially from the machine being incorporated to
Data group,
The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is divided automatically
The primary data group is analysed, to determine alarm, and
Based on the alarm, the technician with the portable collection device is selectively promoted to take scheduled row
For, and third data group is collected from the machine being incorporated to, wherein the behavior and the third data group are based on third predetermined number
According to collecting parameter group, the third tentation data collects parameter group and is based at least partially on the state of be incorporated to machine and described
Alarm automatically configures.
8. the method for claim 7, wherein reading the state of the machine into the portable collection device
Step includes at least one of the following:
The machine parameter for indicating the state of the machine is directly measured with the portable collection device,
The technician will manually indicate that the machine parameter of the state of the machine inputs in the portable collection device, with
And
Automatically the machine parameter for indicating the state of the machine is downloaded in the portable collection device from remote equipment.
9. the method for claim 7, wherein the state of the machine includes at least one of the following: run, is idle,
Runing time length, standby time length, the speed of service, machine age, machine type and the machine processing material.
10. the method for claim 7, wherein the data collection parameters group is set at least one of the following
In:
Memory on the portable collection device, and
Remote computing system, and obtained by the portable collection device by data network.
11. the method for claim 7, wherein the data group includes at least one of the following: vibration, temperature, heat
Picture, sound, oil samples and the assessment of technician.
12. the method for claim 7, wherein the predefined action that the technician takes includes by described portable
At least one of the following of collecting device guidance: to the machine that is incorporated to carry out impact test, movable sensor and with
It returns at the time of afterwards to be read out.
13. a kind of state automatic adjustment in the portable collection device that technician uses based on machine is used for data collection road
The method of the data collection parameters of the machine on line, the described method comprises the following steps:
For each machine on the data collection route:
The state of the machine is read into the portable collection device,
Parameter group is collected with the first tentation data that the state for being based at least partially on be incorporated to machine automatically configures come automatic
The portable collection device is configured,
Parameter group is collected based on first tentation data with the portable collection device to collect initially from the machine being incorporated to
Data group, and
The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is divided automatically
Analyse the primary data group.
14. method as claimed in claim 13, wherein reading the state of the machine into the portable collection device
The step of include at least one of the following:
The machine parameter for indicating the state of the machine is directly measured with the portable collection device,
The technician will manually indicate that the machine parameter of the state of the machine inputs in the portable collection device, with
And
Automatically the machine parameter for indicating the state of the machine is downloaded in the portable collection device from remote equipment.
15. method as claimed in claim 13, wherein the state of the machine includes at least one of the following: operation, spare time
Set, runing time length, standby time length, the speed of service, machine age, machine type and the machine processing material.
16. method as claimed in claim 13, wherein the data collection parameters group is set at least one of the following
In:
Memory on the portable collection device, and
Remote computing system, and obtained by the portable collection device by data network.
17. method as claimed in claim 13, wherein the data group includes at least one of the following: vibration, temperature, heat
Picture, sound, oil samples and the assessment of technician.
18. a kind of state automatic adjustment in the portable collection device that technician uses based on machine is used for data collection road
The method of the data collection parameters of the machine on line, the described method comprises the following steps:
For each machine on the data collection route:
The state of the machine is read into the portable collection device,
Parameter group is collected with the first tentation data that the state for being based at least partially on be incorporated to machine automatically configures come automatic
The portable collection device is configured,
Parameter group is collected based on first tentation data with the portable collection device to collect initially from the machine being incorporated to
Data group,
The scheduled data analysis parameter group automatically configured using the state for being based at least partially on be incorporated to machine is divided automatically
The primary data group is analysed, to determine alarm, and
Based on the alarm, parameter group is collected based on the second tentation data and is selectively collected automatically from the machine being incorporated to immediately
Second data group, second tentation data collect the state and the police that parameter group is based at least partially on be incorporated to machine
It offers and automatically configures.
19. method as claimed in claim 18, wherein reading the state of the machine into the portable collection device
The step of include at least one of the following:
The machine parameter for indicating the state of the machine is directly measured with the portable collection device,
The technician will manually indicate that the machine parameter of the state of the machine inputs in the portable collection device, with
And
Automatically the machine parameter for indicating the state of the machine is downloaded in the portable collection device from remote equipment.
20. method as claimed in claim 18, wherein the state of the machine includes at least one of the following: operation, spare time
Set, runing time length, standby time length, the speed of service, machine age, machine type and the machine processing material.
21. method as claimed in claim 18, wherein the data collection parameters group is set at least one of the following
In:
Memory on the portable collection device, and
Remote computing system, and obtained by the portable collection device by data network.
22. method as claimed in claim 18, wherein the data group includes at least one of the following: vibration, temperature, heat
Picture, sound, oil samples and the assessment of technician.
23. a kind of state automatic adjustment in the portable collection device that technician uses based on machine is used for data collection road
The method of the data collection parameters of the machine on line, the described method comprises the following steps:
For each machine on the data collection route:
The state of the machine is read into the portable collection device, and
It is based at least partially on the state of the machine, the machine is incorporated in the data collection route automatically, or by institute
Machine is stated to exclude from the data collection route.
24. method as claimed in claim 23, wherein one in the data collection parameters adjusted is the machine
Scheduling interval.
It further include at least partly ground during executing the data collection route 25. method as claimed in claim 23
In the variation of the state of the machine, the data collection will be incorporated to from the machine that the data collection excludes before automatically
In route.
26. method as claimed in claim 23, wherein reading the state of the machine into the portable collection device
The step of include at least one of the following:
The machine parameter for indicating the state of the machine is directly measured with the portable collection device,
The technician will manually indicate that the machine parameter of the state of the machine inputs in the portable collection device, with
And
Automatically the machine parameter for indicating the state of the machine is downloaded in the portable collection device from remote equipment.
27. method as claimed in claim 23, wherein the state of the machine includes at least one of the following: operation, spare time
Set, runing time length, standby time length, the speed of service, machine age, machine type and the machine processing material.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201462039553P | 2014-08-20 | 2014-08-20 | |
| US62/039,553 | 2014-08-20 |
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| Publication Number | Publication Date |
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| CN105388784A CN105388784A (en) | 2016-03-09 |
| CN105388784B true CN105388784B (en) | 2019-04-23 |
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| CN201510515913.1A Active CN105388784B (en) | 2014-08-20 | 2015-08-20 | The data collection of adaptability and state-driven |
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| US10506048B2 (en) * | 2016-03-11 | 2019-12-10 | Microsoft Technology Licensing, Llc | Automatic report rate optimization for sensor applications |
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| JP2002268728A (en) * | 2001-03-08 | 2002-09-20 | Yamatake Sangyo Systems Co Ltd | Synchronization diagnosing and monitoring system and its device and its program |
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| CN1584511A (en) * | 2004-05-27 | 2005-02-23 | 西安交通大学 | Intelligent collectingm monitor and collecting monitoring method for large rotary machinery apparatus |
| CN101436046A (en) * | 2008-12-08 | 2009-05-20 | 东南大学 | Integrated multichannel synchronous oscillation data acquiring and monitoring and analysis diagnostic device |
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| CN1164705A (en) * | 1997-01-31 | 1997-11-12 | 浙江大学 | Large rotating machine set on line state monitoring and fault detecting system |
| JP2002268728A (en) * | 2001-03-08 | 2002-09-20 | Yamatake Sangyo Systems Co Ltd | Synchronization diagnosing and monitoring system and its device and its program |
| CN1529240A (en) * | 2003-10-08 | 2004-09-15 | 东南大学 | Embedding rotary mechanical intelligent state monitoring and failure diagnostic device |
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| CN105388784A (en) | 2016-03-09 |
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