CN105388784A - Adaptive and state driven data collection - Google Patents

Adaptive and state driven data collection Download PDF

Info

Publication number
CN105388784A
CN105388784A CN201510515913.1A CN201510515913A CN105388784A CN 105388784 A CN105388784 A CN 105388784A CN 201510515913 A CN201510515913 A CN 201510515913A CN 105388784 A CN105388784 A CN 105388784A
Authority
CN
China
Prior art keywords
machine
data collection
state
collecting device
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510515913.1A
Other languages
Chinese (zh)
Other versions
CN105388784B (en
Inventor
C·G·希利蒙
T·E·尼尔逊
R·D·斯凯里克
A·J·海森
D·M·霍恩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Computational Systems Inc
Original Assignee
Computational Systems Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Computational Systems Inc filed Critical Computational Systems Inc
Publication of CN105388784A publication Critical patent/CN105388784A/en
Application granted granted Critical
Publication of CN105388784B publication Critical patent/CN105388784B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

A method of automatically adjusting data collection parameters for machines on a data collection route in a portable collection device used by a technician, based on states of the machines. For each machine on the data collection route, the state of the machine is read into the portable collection device. The machine is automatically included in or excluded from the data collection route based at least in part on the state of the machine. The portable collection device is automatically configured with a first predetermined set of data collection parameters that is automatically configured based at least in part on the state of the included machine. An initial set of data is collected from the included machine with the portable collection device, based on the first predetermined set of data collection parameters. The initial set of data is automatically analyzed using a predetermined set of data analysis parameters that is automatically configured based at least in part on the state of the included machine, to determine alerts.

Description

The Data Collection of adaptability and state-driven
Technical field
The present invention relates to the field of predictability maintenance of machine (PdM).More specifically, the present invention relates to the use of Data Collection in predictability maintenance of machine of adaptability and state-driven.
Background technology
Most of machinery needs the maintenance of some types to remain in service condition.Former, once machine stops correct work, such as, break down, or easily show it need to safeguard when it becomes, such as, produce noise, when producing excessive heat or there is no even running, namely machine safeguarded.But, before machine breaks down by the time, to its maintenance, usually there is many problems, such as, subsidiary damage, the inconvenience to the timing aspect of fault, shut-down, the excessive cost relevant to these to the damage of technician, like this.
As long as predictive maintenance is by monitoring the operation of machine and namely its sign starting to manifest problem provides in moment easily and safeguard and at least partly reduce many such problems.
Predictive maintenance is usually directed to the data in daily collecting robot, such as, at least one in vibration, temperature, sound and thermal imagery, and compares, these data and operation standard and historical data to determine whether this indicates this machine to have problems.Such technology is generally well known in the art.
But, be difficult to know and should when obtaining these data, with what frequency to obtain these data, how many data should be obtained and these data should be obtained under what environment, thus fully understanding of the situation of machine should had.An answer of these problems can be, as far as possible many, try one's best frequently thus do not lose anything.But such maintenance program is inefficent, and waste excessive time and money on supervision machine.
Summary of the invention
Automatically regulated the method for the data collection parameters of the described machine on Data Collection route by the state based on machine in the portable collecting device that uses technician, meet above needs and other needs.For each machine on described Data Collection route, the state of described machine is read in described portable collecting device.At least in part based on the state of machine, automatically machine is incorporated in Data Collection route, or machine is got rid of from Data Collection route.Automatically the first tentation data collection parameter group configured by the state at least in part based on be incorporated to machine configures portable collecting device automatically.Primary data group is collected based on described first tentation data collection parameter group from be incorporated to machine with portable collecting device.Use at least in part based on the predetermined data analysis parameter group automatic analysis primary data group that the state of be incorporated to machine configures automatically, to determine alarm.Based on alarm, collect the second data group based on the second tentation data collection parameter group is optionally automatic immediately from be incorporated to machine, described second tentation data collection parameter group configures automatically based on the state of be incorporated to machine and described alarm at least in part.Also based on alarm, optionally promote that the technician with portable collecting device takes predefined action and collects the 3rd data group from be incorporated to machine.The behavior and the 3rd data group are based on the 3rd tentation data collection parameter group, and described 3rd tentation data collection parameter group configures automatically based on the state of be incorporated to machine and alarm at least in part.
In certain embodiments, the state step read in described portable collecting device of described machine comprise following at least one: the machine parameter directly measuring the state indicating described machine with described portable collecting device, the machine parameter of the state of the described machine of instruction manually by the described portable collecting device of machine parameter input of the state of the described machine of instruction, and is downloaded to described portable collecting device from remote equipment by described technician automatically.
In certain embodiments, the state of described machine comprise following at least one: run, idle, working time length, standby time length, travelling speed, machine age, Machine Type and described machine processing material.In certain embodiments, described data collection parameters group be arranged at least one storer of described portable data collection equipment, remote computing system is also obtained by data network by described portable data collection equipment.
In certain embodiments, described data group comprise following at least one: the assessment of vibration, temperature, thermal imagery, sound, oil samples and technician.In certain embodiments, the described predefined action that described technician takes comprise by described portable data collection equipment instruct following at least one: impact test, movable sensor and moment afterwards carried out to be incorporated to machine and return to read.
According to another aspect of the present invention, the method automatically regulating the data collection parameters of the described machine on Data Collection route in the portable collecting device used technician based on the state of machine is described.For each machine on described Data Collection route, the state of described machine is read in described portable collecting device, described portable collecting device the first tentation data collection parameter group automatically configured based on the state of be incorporated to machine at least in part configures automatically, collects primary data group with portable collecting device based on described first tentation data collection parameter group from be incorporated to machine.Use primary data group described in the predetermined data analysis parameter group automatic analysis that automatically configures based on the state of be incorporated to machine at least in part, to determine alarm.Based on alarm, optionally promote that the described technician with described portable collecting device takes predefined action and collects the 3rd data group from be incorporated to machine.Described behavior and described 3rd data group are based on the 3rd tentation data collection parameter group, and described 3rd tentation data collection parameter group configures automatically based on the state of be incorporated to machine and alarm at least in part.
According to another aspect of the present invention, the method automatically regulating the data collection parameters of the described machine on Data Collection route in the portable collecting device used technician based on the state of machine is described.For each machine on described Data Collection route, the state of described machine is read in described portable collecting device, described portable collecting device the first tentation data collection parameter group automatically configured based on the state of be incorporated to machine at least in part configures automatically, collects primary data group with portable collecting device based on described first tentation data collection parameter group from be incorporated to machine.Use at least in part based on the predetermined data analysis parameter group automatic analysis primary data group that the state of be incorporated to machine configures automatically.
According to another aspect of the present invention, the method automatically regulating the data collection parameters of the described machine on Data Collection route in the portable collecting device used technician based on the state of machine is described.For each machine on described Data Collection route, the state of described machine is read in described portable collecting device, described portable collecting device the first tentation data collection parameter group automatically configured based on the state of be incorporated to machine at least in part configures automatically, collects primary data group with portable collecting device based on described first tentation data collection parameter group from be incorporated to machine.Use at least in part based on the predetermined data analysis parameter group automatic analysis primary data group that the state of be incorporated to machine configures automatically, to determine alarm.Based on alarm, collect the second data group based on the second tentation data collection parameter group is optionally automatic immediately from be incorporated to machine, described second tentation data collection parameter group configures automatically based on the state of be incorporated to machine and described alarm at least in part.
According to a further aspect in the invention, the method automatically regulating the data collection parameters of the described machine on Data Collection route in the portable collecting device used technician based on the state of machine is described.For each machine on described Data Collection route, the state of described machine is read in described portable collecting device.At least in part based on the state of machine, automatically machine is incorporated in Data Collection route, or machine is got rid of from Data Collection route.
According in some embodiments in this of the present invention, one in the described data collection parameters regulated is the scheduling interval of described machine.In certain embodiments, during the described Data Collection route of execution, at least in part based on the change of the state of described machine, automatically the machine got rid of from described Data Collection is before incorporated to described Data Collection route.
Accompanying drawing explanation
Now detailed description in conjunction with the drawings makes other advantages of the present invention apparent, and in order to more clearly show details, described accompanying drawing is not pro rata, and wherein in some drawings, identical Reference numeral represents identical element, and wherein:
Fig. 1 is according to an embodiment of the invention for determining the process flow diagram of the method for data collection parameters;
Fig. 2 is according to an embodiment of the invention for determining the process flow diagram of the method for machine state;
Fig. 3 is according to an embodiment of the invention for arranging the process flow diagram of the method for alarm levels based on the state of machine;
Fig. 4 is according to an embodiment of the invention for the process flow diagram of the method for adaptation data collection path;
Fig. 5 is the functional block diagram of portable data collection equipment according to an embodiment of the invention.
Embodiment
Gathering-device
As shown in Figure 5, this document describes multiple embodiments that are portable, hand-held, programmable data collecting device 500.The following describe the summary of the component type that collecting device 500 comprises.Should understand, in multiple embodiments of collecting device 500, comprise any subset of described assembly, or comprise the Multi-instance of at least some in described assembly.Also should understand, being interconnected of describing in Fig. 5 is representational, and in certain embodiments, the multiple assemblies in these assemblies are connected to each other directly, and does not make all connections all via the path of processor 502.
In many embodiment:, collecting device 500 comprises the processor 502 be in reinforcing housing 524, man-machine interface 504, display 506, storer 508, sensor 510, sensor input 512, communication port 514, battery 516, power input mouth 518, efferent 520 and signal processor 522.
Processor 502 control at least part of operation of collecting device 500 with communicate, and in many embodiment:, it is at least one in general processor, ASIC and FPGA.In certain embodiments, storer 508 is DRAM, and comprises processor 502 for the instruction controlling the instruction of collecting device 500, the data of collecting device 500 collection and collect from collecting device 500.Some embodiments comprise can remove database, such as, and micro-SD card.
In many embodiment:, display 506 comprises the flat panel video screen with touch-screen.In certain embodiments, interface 504 comprises one or more in stylus, keyboard and touch pad input part.In certain embodiments, battery 516 comprises replaceable battery or rechargeable battery---such as, lithium battery---at least one.In certain embodiments, power input 518 provides at least one in AC and DC electric power for giving collecting device 500, such as, for recharging battery 516 and providing at least one object in operation electric power to collecting device 500.
In many embodiment:, sensors inputs 512 comprises the one or more input parts of external sensor collecting vibration data, temperature data, voice data, thermal imagery and steam perception.In many embodiment:, input part 512---such as can be configured to probe geometries---from such sensor and receives raw data, or the data nursed one's health by external unit, and data stream is provided to collecting device 500.In certain embodiments, by some sensors 510, the sensor such as, described before, is built in collecting device 500.
Some embodiments of collecting device 500 comprise signal processor 522, the such as analogue-to-digital converters of one or more simulated data for receiving from sensor 510 or sensors inputs 512, and special signal conditioning circuit, such as wave filter and domain transformer, amplifier etc.
In certain embodiments, communication port 514 comprises such as following assembly: wireless ethernet (such as, defined by multiple IEEE802.11 standard), the wired network such as cellular data transceiver (such as, being defined with other standards by IEEE802.16,802.20), such as Ethernet is connected, bluetooth and other communication protocol.Some embodiments of collecting device 500 comprise delivery outlet 520, and such as, video frequency output, signal export (such as, come sensor 510, sensors inputs 512, or otherwise), USB connects and other modes.
In many embodiment:, the housing 524 of reinforcing is formed by least one in metal and plastics.In certain embodiments, housing 524 is non-hermetic, and in further embodiments, housing 524 provides substantially bubble-tight protection to other assemblies be arranged in housing 524.In certain embodiments, housing 524 is at least to a certain degree dust-proof, waterproof and shockproof, and provides heat insulation to a certain degree for collecting device 500.
Collecting device 500 is small enough to be supported by technician's one hand, and light to being enough to enable the road that technician is walking to another part from a part of machinery carry it.In certain embodiments, battery 516 is enough to make collecting device 500 provide electric power to other assemblies of sensor 510, communication port 514 and collecting device 500, and provide the time span of electric power to be enough to make technician obtain data on his route, and following at least one: store data and by data upload to central data repository.
General introduction
The data collection techniques of adaptability and state-driven makes collecting device 500 adaptively how collect and to collect what data based at least one in following: the state of the machine that (a) is just monitored, (b) time sequence information, such as timetable, and (c) is from the outside input of other equipment and system.Such as by Data Collection route to be read and machine being shown on display, this information is supplied to technician.Multiple embodiment of the present invention makes it possible to the data collection techniques of adaptability and state-driven and gathering-device 500 mentioned above and devices communicating device, calibrating device, inspection camera to use together with portable gas discovering device.
Word " adaptability " in this context refers to and regulates with the ability changing situation, and in certain embodiments, described adjustment is carried out automatically.By way of example, in certain embodiments, Adaptive Data is applied to PdM route, equipment inspection route, walking around preventative maintenance inspection, thermal imaging investigation, ultrasonic Leak Detection, Automatic steam trap Trap check route and line of electric force inspection investigation.
Data Collection timetable for each machine is generally determined by least one in following: (a) Machine Type, (b) Process Duty, the state of (c) machine, the situation of (d) machine, etc.This means, the machine in particular course can have different Data Collection timetables.Be downloaded to the route of collecting device 500 or investigation or other fox messages and---such as downloaded---moment of carrying out Data Collection to each machine comprising and map out by communication port 514, and when this route of walking, only Data Collection will be carried out to the machine that those are in fixed time window.
The scope of machine state is from simple conditions, such as (a) runs idle, (b) travelling speed, (c) electric current running load, the material that (d) processes, (e) machine temperature, (f) machine age, g () running environment and (h) machine run how good or how poor, to more complicated situation, such as, based on the possible problem indicated by reading before.When such as planting example afterwards, analyst can plan the moment of carrying out excessive data collection.The state of instrument can be used for the many aspects helping to determine Data Collection, such as following items.
Collect the frequency of data.Such as, does is optimal maximum data collection frequency how many under prescribed conditions?
When collect data.Such as, if machine is not under load, then data should not be collected.
What data should be collected? such as, as pumping liquid X, collection parameter A; As pumping liquid Y, collection parameter A and B.
What data should be stored? such as, only spectrum and waveform is stored when parameter is in alarm state.
Machine state also can be the factor relevant with collected metadata.Such as, it can be and determines alarm levels, report interval, Data Collection timetable etc.
In certain embodiments, exist and determine at least two moment with the state of recorder, the described moment for (a) is before being about to carry out Data Collection, and after (b) just completed Data Collection.Therefore, although not requirement, when expecting each Collection and analysis data, determine and reevaluate the state of machine.
Method described herein can be applicable to the machine in specific machine, the group of similar machine or particular course.Word used herein " machine " also refers to instrument and other equipment that can comply with method described herein.Unless required step needs the input produced by preceding step, otherwise the particular order of step described below is not deliberately.
Arrange
In one embodiment, the first step in method to set up is the state of the specified machine of qualification is what.Such as, the different conditions of machine may be defined as different machine condition groups, and the data of wherein collecting from machine are different based on the state of machine.
In certain embodiments, second step is the variable (and their value) that qualification represents the state of machine.These variablees can be determined by such as data collection facility 500 itself, inputted by counting personnel or from remote location through network reception.
In certain embodiments, the 3rd step determines to collect what data for each of multiple machine state.
4th step is stored in the configuration information defined in above step.In certain embodiments, this configuration information is stored in storer, complete in steps after or each step after store.Can by described arrangements of memory in such as remote computer, storer can be the storer 508 in collecting device 500, or some combinations of both.
Data Collection
5th step of whole method is that configuration information is put into collecting device 500.Configuration information be downloaded to after in collecting device 500, it prepares to collect data, that is, the 6th step of described method.As the part of the method, determine the state of machine.
In certain embodiments, collecting device 500 comprises the circuit required for variable reading in and identify in the second step of method to set up, and the actual state determining machine.By input part 512, use airborne (on-board) sensor 510 to read these variablees, or obtain through such as communication port 514 from remote source.But in certain embodiments, user determines the state of machine, and is entered in collecting device 500.
Based on the current state of machine, as from as described in method to set up determine, collecting device 500 is configured to read suitable predefined data group.If because some reasons can not determine the current state of machine, then read predetermined acquiescence PdM data group by collecting device 500 in certain embodiments.
Once after reading data, namely carry out the 7th step---analyze data.In certain embodiments, this is completed by collecting device 500, and in further embodiments, by sending data to ppu and analyze data there.Some combinations both other embodiments use.One or more alarm defined during method to set up may be triggered based on collected data and machine state to the analysis of data.In certain embodiments, the analysis of data is carried out after collection immediately automatically, and without the need to any intervention by technician.
In certain embodiments, extra data should be collected to the analysis display of the data corresponding with machine state, that is, carry out step 8.If like this, then also read excessive data (step 6) by collecting device 500 and carry out analyzing (step 7).Until do not have more data to treat, collection just completes this step.
In certain embodiments, step 9 is for be delivered to long-range computing system by collected data from collecting device 500, and it is designed to secular trend and analytic engine is healthy.In certain embodiments, this remote system maintains status information when collecting data from machine, historical data can be mapped with machine state when collecting these data thus.
May show the analysis of collected data and machine state, adjustment machine Data Collection timetable can be suitable, that is, step 10.Such as, described analysis may show, and can collect data safely with lower frequency.Or described analysis may show, should with the data of the frequency collecting robot higher than timetable described before.In certain embodiments, this analysis is carried out at least one in collecting device 500 and remote computing device.
Step 11 makes the data collection program synchronization of any change return collecting device 500.In certain embodiments, described analysis and machine state may show, and should collect more data, collect or collect according to the timetable determined immediately or at some specified points in future.
Exemplary embodiment
Referring now to Fig. 1 to 4, provide an exemplary embodiment of above-described method, and implement in the collecting device 500 of Fig. 5.Should understand, embodiments of the invention not all limit scope or the sequence of steps of the embodiment of description.
In FIG, describe data collection program 100, it originates in frame 102.As described in frame 104, carry out determining whether status information can be used the machine of specifying.If do not have status information can use machine, then as described in frame 106, collecting device 500 is programmed to collect the data group given tacit consent to from machine.But, if status information is available, then as described in frame 108,110 and 112, under collecting device 500 attempts to determine which kind of state machine is in.If determine the predetermined state of machine, then as described in frame 114,116 and 118, collecting device 500 collects the predetermined data group relevant with machine state.But, if state can not be determined from by the data and input of determining machine state, then, as described in frame 106, collect default data again.
Once after collecting device 500 have collected the tentation data group of expectation, it is specific or acquiescence no matter it has been state, namely as described in frame 120, to data analysis.As described above, can analyze in collecting device 500, or be sent to for carrying out remote computing device wherein, then result be sent it back collecting device 500.In any embodiment, this analysis all can send automatically, without the need to any input from technician.As the part analyzed, data and threshold limit are compared, the limit any is exceeded and all produces alarm condition and at least one in the adjustment of collection interval.
As described in frame 122, some alarm conditions trigger collects excessive data from machine.If like this, then point out him when requiring any behavior of technician's part by collecting device 500.In certain embodiments, the behavior that technician can be impelled to take comprise such as following in one or more: return additionally to read to the impact test of machine, movable sensor, time point afterwards, and the operation of machine changed.
In certain embodiments, if do not require the intervention of technician, then as described in frame 124, collecting device 500 is automatic and then carry out extra Data Collection, without the need to the further input from technician.When have collected the data of all expectations, as by slip-stick artist to arrange period predetermined, then as described in frame 126, the data collection program for this machine completes.
Fig. 2 provides the more details about the step 108 determining machine state wherein of Fig. 1, an embodiment of 110 and 112.The method of analytic engine state starts from frame 202.As described above, use one or more variable to determine the state of machine.During method to set up, define these variablees, such as, defined by slip-stick artist.For different machines, the source of variable can be different, and even specified machine also can use the variable from not homology, uses described variable as the input determining machine state.
The source of these variablees can comprise such as, the direct measurement undertaken by the sensor 510 on collecting device 500, the information received from the input of inserting in input port 512, communication port 514, on interface 504 from the input of technician, or the alarm produced before.As described in frame 204, these sources are all determined by setting data.
As shown at block 206, the method then according to frame 204 reads multiple state variable.As its a part, collecting device 500 can read some in expected data automatically, or downloads from another source, or guidance technology person takes specific behavior to read data or input data.
After catching all status datas, or after catching every part of status data, or both some combinations, as started in frame 208, status data is evaluated.If this part of status data is logical value, then, as described in frame 210, assess this logical value.If this part of status data is numerical value, then the limit that itself and slip-stick artist are determined during method to set up is compared.After this step is completed to all status datas collected, indicated by frame 124, determine the state whether this status data represents given.
In one embodiment, this step by following come: the predefine situation being carried in instruction designated state, compares the group of the variable collected and this predefine situation, and exports expression candidate state and whether mate the mark of variable.If coupling, then this situation is true, that is, have matched designated state.If do not mated, then the group of the predefine situation of another state and the variable collected are compared, by that analogy, until find matching status.If do not find matching status, then collected the generation of data group of acquiescence by collecting device 500 for the specific data group of state.
Referring now to Fig. 3, which describe collecting device 500 for performing an embodiment of the method for the data analysis 120 of Fig. 1, the method starts from frame 302.As described in block 304, as initiation event, carry out determining whether status information can be used specified machine, this similar with above about described by Fig. 1, wherein loads Data Collection and arranges.In certain embodiments, preserve the shape body information of the machine determined in the method 100 of Fig. 1, and do not need to carry out repetition.But in certain embodiments, as mentioned below, repeated collection equipment 500 is by the method determining machine state.In certain embodiments, use if the method described in Fig. 2 is to determine the state of machine.
If do not have status information can use machine, then as described in frame 306, the data analysis group using acquiescence is programmed to collecting device 500.But, if status information is available, then as described in frame 308,310 and 312, under collecting device 500 attempts to determine which kind of state machine is in.If determine the predetermined state of machine, then as described in frame 314,316 and 318, collecting device 500 uses the preestablished limit group relevant to machine state and package to analyze data.But, if state can not be determined from by the data and input of determining machine state, then, as described in frame 306, use the data analysis of acquiescence again.
As described above, all produce alarm condition to any exceeding of the limit, as described in frame 308, carry out record to it, then the method is concluded as depicted by a block 310.
Fig. 4 describes an embodiment of method 400, wherein based on the route of the next adaptive collecting device of state 500 pairs of technicians' displays of the machine along route.The method starts from frame 402, and wherein technician selects the expectation route being used for Data Collection and analysis, and such as, such route inventory by using man-machine interface 504 to show from the display 506 of collecting device 500 is selected.As described in frame 404, be accredited as the machine inventory belonging to selected route before relevant to selected route is, such as, identified by engineering.
In certain embodiments, collecting device 500 accesses multiple data source, such as, data record in remote computation or memory device, to determine whether data collect each machine on this route.In certain embodiments, the state of machine is determined then and there, and collecting device 500 whether decide to collect data from this machine based on the state of machine at least in part suitable.In certain embodiments, collecting device 500 only observes the timetable of the Data Collection of the machine recorded, and itself and record sheet when finally summarizing data is compared, and determines whether this machine to be incorporated to this route.
In certain embodiments, technician be in machine other time make whether from the decision of the machine aggregated data of specifying.In further embodiments, when the beginning of route development, machine is incorporated to route, or gets rid of from route, then technician starts this route of walking.In certain embodiments, adopt the combination of these two kinds of methods, and route selection start be incorporated to or get rid of some machines, and such as when technician be about to from machine collect data time, the state based on machine is incorporated to or gets rid of other machines.
Under any circumstance, if in block 406, machine should be used for Data Collection, then as described in frame 408, collect data, and its step is corresponding with the method 100 of Fig. 1.As described in frame 410, determine whether to collect more multimachine device on route.If collected, then the method is back to frame 404, and if do not collect, then, as described in frame 412, completes route and Data Collection.
Use example
Excessive data based on collected data is collected
In this case, the slip-stick artist defining Data Collection route wish by the amount of collected data and relevant data collection time minimum relative to the machine suitably run.But if normal data and machine state display device may have problems and alert trigger (defining alarm condition during method to set up), then slip-stick artist wants the technician collecting data to collect extra data before leaving this place.In this case, during method to set up, slip-stick artist predefines for when to the extra data collection parameters group of data of will collect when normal data generation alarm.Data collection facility 500 when be in place without the need to technician or definition route slip-stick artist intervene obtain extra data.
Embodiment
If read on induction motor, and comprise the analytical parameters alert trigger of AC current peak (that is, 120Hz), then launch higher resolution spectrum to distinguish 2 × RPM and 2 × line frequency.
If the high frequency alarm of any type of measurement triggering, then extend and carry out the frequency measured, lay equal stress on and collect data, to make analyst, there is definite signal frequency feature in high-frequency domain.
If initial reading displayed, the vibrational energy of signal portion is hyposynchronous, then carry out SST and measure to obtain being worth more accurately for the lower part of composing.
Benefit
Save time: because extra data are collected when technician has been in machine place, so without the need to returning machine afterwards to collect excessive data.
Preserve measuring position: some readings can only be carried out in specific position.If first measures and detect at A place, position, and technician returned to collect extra diagnostic data at position B (its can very close position A) place afterwards, then in the vibration signal of new reading, this defect mode may be sightless.
Catch temporal event: some machine defects are induced by the particular configuration of manufacture method.The sign that the initial reading of collecting during method configuration A can show clearly mechanical defect---such as resonating---.If technician returned to collect extra diagnostic data in the moment afterwards, then this machine can run under different conditions, and wherein this defect is no longer visible.
Intermittent duty: many machines are only by the requirement intermittent duty of production method.The machine being in operation carries out initial read get personnel can be impelled to return on the date afterwards to collect extra diagnostic data, but machine does not rerun; Therefore, have no chance to collect any extra data.
Extra measurement requirement
In this case, if some situation is genuine, then the slip-stick artist defining route wishes to collect extraneous information on machine, and this requires the extra behavior being in the technician in machine place.In this case, once have rated the current state of machine or collection and after have rated raw data, namely determine, technician should change common method and collect excessive data.This excessive data should be in different measuring position, or it can need the participation of technician, such as impact test.Once after collecting device 500 determines to need to carry out extra Data Collection, namely impel technician to take specific behavior to receive data.
Embodiment
If initial reading displayed, the vibrational energy of signal portion is asynchronous, then impel technician to connect velocity gauge, carries out Velocity Detection algorithm, then reappraise with the velocity survey improved, or use new velocity survey heavily to collect reading as the basis of reading.
If the data display of collecting may exist resonance, then impel technician to carry out the impact test of some number of times to machine, then vibrate to deduct travelling speed from reading by carriage return.
Benefit
Save time: because extra data are collected when technician has been in machine place, so without the need to returning to place afterwards to collect excessive data.
Catch temporal event: some machine defects are induced by the particular configuration of manufacture method.The initial reading of collecting during method configuration A can show the sign of clearly mechanical defect,---such as resonating---.If personnel returned to collect extra diagnostic data in the moment afterwards, then this machine can run under different conditions, and wherein this defect is no longer visible.
Intermittent duty: many machines are only by the requirement intermittent duty of production method.The machine being in operation carries out initial read get technician can be impelled to return on the date afterwards to collect extra diagnostic data, but machine does not rerun; Therefore, have no chance to collect any extra data.
Pumping multiple material
In this case, user has the variable speed driver pump at the not material of pumping different viscosities or different aggregation content in the same time.These different predetermined states are correlated with from different tentation data collection requirements and different predetermined alarm levels.Utility Engineers arranges the route of state-driven for the different collection parameters of each state definition of machine, and produces suitable alarm levels reference.When Data Collection, the current state of machine is determined automatically by communicating with control system of machine, or the manual input moving personal observations and technician is determined.Collecting device 500 loads the predetermined collection parameter group being suitable for machines current state, and with suitable alarm with reference to carrying out evaluating data.
Adaptability route
In this case, technician has the route of its walking, to collect data on one group of machine.These machines have their tentation data collection time tables own separately, and it is arranged in collecting device 500.Made the timetable of each machine of dynamically adapting uniline instead of for multiple Data Collection timetable to make multiple route.The maintenance of this route simplified.
The multiple embodiments described herein can partly or entirely by one or more embodiment hand-held PdM of the present invention equipment fabricator, perform by service organization or by the terminal user of equipment.
Some embodiments can complete in collecting device 500, or can complete under the assistance of second equipment such as such as private computer.Such as, step 7 and 8 can be completed by collecting device 500 completely, or by data are uploaded from step 6, such as by wireless network, to remote computer, automatic analysis data (step 7) on the remote computer, determine whether to need to collect extra data (step 8) on the remote computer, then, if necessary, extra instruction is downloaded to collecting device 500.
Be in the description illustrating and provide the aforesaid embodiment of the present invention with descriptive object.It is not intended to exhaustive or the present invention is limited to disclosed precise forms.Apparent amendment and distortion can be carried out under the enlightenment of above instruction.Select and describe some embodiments to provide the description to the principle of the invention and practical application thereof, and thus enable those skilled in the art use the present invention in many embodiment:, and according to expection special-purpose carry out multiple amendment.When according to when being explained by width that is fair, legal and entitle equitably, all such modifications and distortion all drop in the scope of the present invention determined by appended claims.

Claims (27)

1. in the portable collecting device of technician's use, automatically regulate a method for the data collection parameters of the described machine on Data Collection route based on the state of machine, said method comprising the steps of:
Each machine on described Data Collection route:
The state of described machine is read in described portable collecting device,
At least in part based on the state of described machine, automatically described machine is incorporated in described Data Collection route, or described machine is got rid of from described Data Collection route,
Automatically the first tentation data collection parameter group configured by the state at least in part based on be incorporated to machine configures described portable collecting device automatically,
Primary data group is collected based on described first tentation data collection parameter group from be incorporated to machine with described portable collecting device,
Use primary data group described in the predetermined data analysis parameter group automatic analysis that automatically configures based on the state of be incorporated to machine at least in part, to determine alarm,
Based on described alarm, the second data group is collected from be incorporated to machine based on the second tentation data collection parameter group is optionally automatic immediately, described second tentation data collection parameter group configures automatically based on the state of be incorporated to machine and described alarm at least in part, and
Based on described alarm, the described technician with described portable collecting device is optionally impelled to take predetermined behavior, and collect the 3rd data group from be incorporated to machine, wherein said behavior and described 3rd data group are based on the 3rd tentation data collection parameter group, and described 3rd tentation data collection parameter group configures automatically based on the state of be incorporated to machine and described alarm at least in part.
2. the method for claim 1, wherein by the state of described machine the step read in described portable collecting device comprise following at least one:
The machine parameter of the state indicating described machine is directly measured with described portable collecting device,
The machine parameter of the state of the described machine of instruction manually inputs in described portable collecting device by described technician, and
Automatically the machine parameter of the state of the described machine of instruction is downloaded to described portable collecting device from remote equipment.
3. the method for claim 1, the state of wherein said machine comprise following at least one: run, idle, working time length, standby time length, travelling speed, machine age, Machine Type and described machine processing material.
4. the method for claim 1, wherein described data collection parameters group is arranged at following at least one in:
Be in the storer on described portable data collection equipment, and
Remote computing system, and obtained by data network by described portable data collection equipment.
5. the method for claim 1, wherein said data group comprise following at least one: the assessment of vibration, temperature, thermal imagery, sound, oil samples and technician.
6. the method for claim 1, the described predefined action that wherein said technician takes comprise by described portable data collection equipment instruct following at least one: impact test, movable sensor and moment afterwards carried out to be incorporated to machine and return to read.
7. in the portable collecting device of technician's use, automatically regulate a method for the data collection parameters of the described machine on Data Collection route based on the state of machine, said method comprising the steps of:
Each machine on described Data Collection route:
The state of described machine is read in described portable collecting device,
Automatically the first tentation data collection parameter group configured by the state at least in part based on be incorporated to machine configures described portable collecting device automatically,
Primary data group is collected based on described first tentation data collection parameter group from be incorporated to machine with described portable collecting device,
Use primary data group described in the predetermined data analysis parameter group automatic analysis that automatically configures based on the state of be incorporated to machine at least in part, to determine alarm, and
Based on described alarm, the described technician with described portable collecting device is optionally impelled to take predetermined behavior, and collect the 3rd data group from be incorporated to machine, wherein said behavior and described 3rd data group are based on the 3rd tentation data collection parameter group, and described 3rd tentation data collection parameter group configures automatically based on the state of be incorporated to machine and described alarm at least in part.
8. method as claimed in claim 7, wherein by the state of described machine the step read in described portable collecting device comprise following at least one:
The machine parameter of the state indicating described machine is directly measured with described portable collecting device,
The machine parameter of the state of the described machine of instruction manually inputs in described portable collecting device by described technician, and
Automatically the machine parameter of the state of the described machine of instruction is downloaded to described portable collecting device from remote equipment.
9. method as claimed in claim 7, the state of wherein said machine comprise following at least one: run, idle, working time length, standby time length, travelling speed, machine age, Machine Type and described machine processing material.
10. method as claimed in claim 7, wherein described data collection parameters group is arranged at following at least one in:
Be in the storer on described portable data collection equipment, and
Remote computing system, and obtained by data network by described portable data collection equipment.
11. methods as claimed in claim 7, wherein said data group comprise following at least one: the assessment of vibration, temperature, thermal imagery, sound, oil samples and technician.
12. methods as claimed in claim 7, the described predefined action that wherein said technician takes comprise by described portable data collection equipment instruct following at least one: impact test, movable sensor and moment afterwards carried out to be incorporated to machine and return to read.
Automatically regulate the method for the data collection parameters of the described machine on Data Collection route in 13. 1 kinds of portable collecting devices used technician based on the state of machine, said method comprising the steps of:
Each machine on described Data Collection route:
The state of described machine is read in described portable collecting device,
Automatically the first tentation data collection parameter group configured by the state at least in part based on be incorporated to machine configures described portable collecting device automatically,
Primary data group is collected based on described first tentation data collection parameter group from be incorporated to machine with described portable collecting device, and
Use primary data group described in the predetermined data analysis parameter group automatic analysis that automatically configures based on the state of be incorporated to machine at least in part.
14. methods as claimed in claim 13, wherein by the state of described machine the step read in described portable collecting device comprise following at least one:
The machine parameter of the state indicating described machine is directly measured with described portable collecting device,
The machine parameter of the state of the described machine of instruction manually inputs in described portable collecting device by described technician, and
Automatically the machine parameter of the state of the described machine of instruction is downloaded to described portable collecting device from remote equipment.
15. methods as claimed in claim 13, the state of wherein said machine comprise following at least one: run, idle, working time length, standby time length, travelling speed, machine age, Machine Type and described machine processing material.
16. methods as claimed in claim 13, wherein described data collection parameters group is arranged at following at least one in:
Be in the storer on described portable data collection equipment, and
Remote computing system, and obtained by data network by described portable data collection equipment.
17. methods as claimed in claim 13, wherein said data group comprise following at least one: the assessment of vibration, temperature, thermal imagery, sound, oil samples and technician.
Automatically regulate the method for the data collection parameters of the described machine on Data Collection route in 18. 1 kinds of portable collecting devices used technician based on the state of machine, said method comprising the steps of:
Each machine on described Data Collection route:
The state of described machine is read in described portable collecting device,
Automatically the first tentation data collection parameter group configured by the state at least in part based on be incorporated to machine configures described portable collecting device automatically,
Primary data group is collected based on described first tentation data collection parameter group from be incorporated to machine with described portable collecting device,
Use primary data group described in the predetermined data analysis parameter group automatic analysis that automatically configures based on the state of be incorporated to machine at least in part, to determine alarm, and
Based on described alarm, collect the second data group based on the second tentation data collection parameter group is optionally automatic immediately from be incorporated to machine, described second tentation data collection parameter group configures automatically based on the state of be incorporated to machine and described alarm at least in part.
19. methods as claimed in claim 18, wherein by the state of described machine the step read in described portable collecting device comprise following at least one:
The machine parameter of the state indicating described machine is directly measured with described portable collecting device,
The machine parameter of the state of the described machine of instruction manually inputs in described portable collecting device by described technician, and
Automatically the machine parameter of the state of the described machine of instruction is downloaded to described portable collecting device from remote equipment.
20. methods as claimed in claim 18, the state of wherein said machine comprise following at least one: run, idle, working time length, standby time length, travelling speed, machine age, Machine Type and described machine processing material.
21. methods as claimed in claim 18, wherein described data collection parameters group is arranged at following at least one in:
Be in the storer on described portable data collection equipment, and
Remote computing system, and obtained by data network by described portable data collection equipment.
22. methods as claimed in claim 18, wherein said data group comprise following at least one: the assessment of vibration, temperature, thermal imagery, sound, oil samples and technician.
Automatically regulate the method for the data collection parameters of the described machine on Data Collection route in 23. 1 kinds of portable collecting devices used technician based on the state of machine, said method comprising the steps of:
Each machine on described Data Collection route:
The state of described machine is read in described portable collecting device, and
At least in part based on the state of described machine, automatically described machine is incorporated in described Data Collection route, or described machine is got rid of from described Data Collection route.
24. methods as claimed in claim 23, one in wherein regulated described data collection parameters is the scheduling interval of described machine.
25. methods as claimed in claim 23, the machine got rid of from described Data Collection before at least in part based on the change of the state of described machine, is incorporated to described Data Collection route during being also included in and performing described Data Collection route by automatically.
26. methods as claimed in claim 23, wherein by the state of described machine the step read in described portable collecting device comprise following at least one:
The machine parameter of the state indicating described machine is directly measured with described portable collecting device,
The machine parameter of the state of the described machine of instruction manually inputs in described portable collecting device by described technician, and
Automatically the machine parameter of the state of the described machine of instruction is downloaded to described portable collecting device from remote equipment.
27. methods as claimed in claim 23, the state of wherein said machine comprise following at least one: run, idle, working time length, standby time length, travelling speed, machine age, Machine Type and described machine processing material.
CN201510515913.1A 2014-08-20 2015-08-20 The data collection of adaptability and state-driven Active CN105388784B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201462039553P 2014-08-20 2014-08-20
US62/039,553 2014-08-20

Publications (2)

Publication Number Publication Date
CN105388784A true CN105388784A (en) 2016-03-09
CN105388784B CN105388784B (en) 2019-04-23

Family

ID=55421176

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510515913.1A Active CN105388784B (en) 2014-08-20 2015-08-20 The data collection of adaptability and state-driven

Country Status (1)

Country Link
CN (1) CN105388784B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108781081A (en) * 2016-03-11 2018-11-09 微软技术许可有限责任公司 Automatic type reporting rates for sensor application optimize

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108781081A (en) * 2016-03-11 2018-11-09 微软技术许可有限责任公司 Automatic type reporting rates for sensor application optimize
CN108781081B (en) * 2016-03-11 2022-05-27 微软技术许可有限责任公司 Automatic report rate optimization for sensor applications

Also Published As

Publication number Publication date
CN105388784B (en) 2019-04-23

Similar Documents

Publication Publication Date Title
US20230213486A1 (en) Automatic mechanical systems diagnosis
US9524629B2 (en) Adaptive and state driven data collection
CN104350435B (en) The prediction analysis method being embedded in the software platform of programmable logic controller (PLC)
EP3605036B1 (en) Vibration analyser, and machine component diagnosis system
CN107271170A (en) The automatic diagnosis method and system of a kind of mechanical equipment fault type
CN104407603A (en) Method and device for self-diagnosing household appliances
CN108226777A (en) State monitoring apparatus and the method for monitoring motor
US20190204390A1 (en) System for monitoring condition of a plurality of motors
CN107208671A (en) For the monitoring device and method of the operating conditions for determining the equipment that pressure medium is operated
CN106461119A (en) System and method for controlling a field device
CN105041631A (en) Method and system for detecting vibration signal of driving shaft of gas compressor
CN112710345B (en) Machine monitoring method and apparatus for continuously improving predictive maintenance database
KR20210135281A (en) Battery performance evaluation method and battery performance evaluation device
KR20210012200A (en) Maintenance system for environment test apparatus using machine self check sensor and the control method thereof
CN103926494A (en) Interference source determining method and device
CN111063178A (en) Data acquisition and processing system
CN105388784A (en) Adaptive and state driven data collection
Zurita et al. Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis
JP2022501621A (en) Methods for monitoring the behavior of machines that generate vibrations, and devices for the realization of such methods.
KR100946637B1 (en) Abnormal simulation signal analysis methods for 4~20mA instrumental system
RU2700905C2 (en) Adaptive and state-controlled data collection
WO2020054725A1 (en) Diagnostic apparatus and diagnostic method
CN104991222A (en) Measurement automation terminal quality evaluation system
CN113254301A (en) Method and system for detecting running state of steel production equipment
KR20140049825A (en) Wireless type engine monitoring apparatus and method thereof

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant