CN110160813A - Monitoring state of rotating equipment method and device - Google Patents
Monitoring state of rotating equipment method and device Download PDFInfo
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- CN110160813A CN110160813A CN201910431263.0A CN201910431263A CN110160813A CN 110160813 A CN110160813 A CN 110160813A CN 201910431263 A CN201910431263 A CN 201910431263A CN 110160813 A CN110160813 A CN 110160813A
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- slewing
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- rotating equipment
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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Abstract
The embodiment of the present invention provides a kind of monitoring state of rotating equipment method and device, which comprises obtains the facility information of tested slewing；Acquire the current acceleration vibration information of the tested slewing；The acceleration vibration information is input to preset target algorithm model, export the current operating status of the tested slewing, wherein, the target algorithm model is selected from preset algorithm model library, algorithm model corresponding with the facility information.Monitoring state of rotating equipment method and device provided in an embodiment of the present invention, the acceleration vibration information that MEMS vibrating sensor acquires is handled in real time using artificial intelligence process device, obtain the current operating status of tested slewing, it can be realized the real-time monitoring to slewing, and the inaccuracy for eliminating result caused by artificial analyze, avoids risk that may be present.
Description
Technical field
The present invention relates to automatic control technology field more particularly to a kind of rotary-type mechanical equipment state monitoring methods and dress
It sets.
Background technique
Rotary-type mechanical equipment abbreviation slewing, application of the slewing in daily life and production are more and more wider
It is general, the operating status of slewing is monitored, the operating status for understanding slewing in real time is extremely important.
In the prior art, it is mostly used greatly for the monitoring of slewing state and is arranged two groups on the axle bed of slewing both ends
Three-dimensional (X, Y, Z-direction) acceleration vibrating sensor, measures vibration displacement vector, monitors the axis between main shaft and bearing shell (axle bed)
To, it is radial free with fluctuation situation, vibrating sensor utilizes the direct piezoelectric effect of piezo-electric crystal, when piezo-electric crystal is in certain orientation
External force under, its crystal face generates voltage, and Acquisition Circuit is converted into stress size F after detecting this voltage value, by
Formula a=F/m obtains instantaneous displacement amount to acceleration quadratic integral it can be concluded that transient acceleration size a, to obtain tested
Vibrating objects frequency spectrum and vibration displacement.Then, manual analysis is carried out to rumble spectrum, vibration displacement by technical specialist, obtains rotation
Turn the operating status of equipment.
But monitoring method in the prior art, the piezoelectric transducer volume of use is big, and supply voltage is high, and battery supplies
It is electric inconvenient, and low frequency response performance is poor.Data are analyzed and determining for operating status needs to be judged according to worker's experience,
Subjectivity is strong, and judging result inaccuracy is not suitable for high-volume and promotes.
Summary of the invention
A kind of overcome the above problem the purpose of the embodiment of the present invention is that providing or at least be partially solved the above problem
Monitoring state of rotating equipment method and device.
In order to solve the above-mentioned technical problem, on the one hand, the embodiment of the present invention provides a kind of monitoring state of rotating equipment method,
Include:
Obtain the facility information of tested slewing；
Acquire the current acceleration vibration information of the tested slewing；
The acceleration vibration information is input to preset target algorithm model, exports working as the tested slewing
Preceding operating status, wherein the target algorithm model is selected from preset algorithm model library, with the facility information phase
Corresponding algorithm model.
It is further, described that the acceleration vibration information is input to before preset target algorithm model, further includes:
The target algorithm model corresponding with the facility information is matched from the preset algorithm model library.
Further, after the current operating status of the output tested slewing, further includes:
The current operating status of slewing is tested described in real-time display.
Further, after the current operating status of the output tested slewing, further includes:
The acceleration vibration information is sent to cloud server, so that the cloud server is according to the acceleration
Vibration information redefines the current operating status of the tested slewing, and so that user logs in the cloud server
Check the current operating status of the tested slewing redefined.
Further, the facility information is the model of the tested slewing.
Further, the facility information includes at least rated speed, voltage rating and the volume of the tested slewing
One of constant current.
It is further, described that the acceleration vibration information is sent to after cloud server, further includes:
Receive the current operating status for the tested slewing that the cloud server redefines；
Show the current operating status for the tested slewing that the cloud server redefines.
On the other hand, the embodiment of the present invention provides a kind of monitoring state of rotating equipment device, comprising:
Communication module, for obtaining the facility information of tested slewing；
MEMS vibrating sensor, for acquiring the current acceleration vibration information of the tested slewing；
Artificial intelligence process device is exported for the acceleration vibration information to be input to preset target algorithm model
The current operating status of the tested slewing, wherein the target algorithm model is selected from preset algorithm model library
Out, algorithm model corresponding with the facility information.
In another aspect, the embodiment of the present invention provides a kind of electronic equipment, comprising: memory, processor, and it is stored in institute
The computer program that can be run on memory and on the processor is stated, when the processor executes the computer program,
The step of realizing the above method.
Another aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, when the computer program is executed by processor, realize the above method the step of.
Monitoring state of rotating equipment method and device provided in an embodiment of the present invention, using artificial intelligence process device to MEMS
The acceleration vibration information of vibrating sensor acquisition is handled in real time, obtains the current operation shape of tested slewing
State can be realized the real-time monitoring to slewing, and eliminate the inaccuracy of result caused by artificial analyze, and avoid
Risk that may be present.
Detailed description of the invention
Fig. 1 is monitoring state of rotating equipment method schematic diagram provided in an embodiment of the present invention；
Fig. 2 is monitoring state of rotating equipment schematic device provided in an embodiment of the present invention；
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to keep the purposes, technical schemes and advantages of the embodiment of the present invention clearer, implement below in conjunction with the present invention
Attached drawing in example, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiment of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Fig. 1 is monitoring state of rotating equipment method schematic diagram provided in an embodiment of the present invention, as shown in Figure 1, the present invention is real
It applies example and a kind of monitoring state of rotating equipment method is provided, executing subject is monitoring state of rotating equipment device, the inspection of abbreviation state
Survey device.This method comprises:
Step S101, the facility information of tested slewing is obtained；
Step S102, the current acceleration vibration information of the tested slewing is acquired；
Step S103, the acceleration vibration information is input to preset target algorithm model, exports the tested rotation
Turn the current operating status of equipment, wherein the target algorithm model is selected from preset algorithm model library, and described
The corresponding algorithm model of facility information.
Specifically, the present embodiments relate to monitoring state of rotating equipment device include communication module, MEMS vibration
Sensor and artificial intelligence process device.
The present embodiments relate to monitoring state of rotating equipment device can be used as an independent equipment and work independently,
A monitoring state of rotating equipment system can also be constituted with cloud server and mobile terminal.Within the system, slewing
State monitoring apparatus is attached by communication module and cloud server, and mobile terminal can access cloud service in real time
Device.
Wherein, communication module can be GPRS module, NB IOT module or bluetooth module, can also select according to actual needs
Select other types of communication module.
After monitoring state of rotating equipment device is started to work, firstly, obtaining setting for tested slewing by communication module
Standby information.
Facility information can be used as the identity of tested slewing, because, in order to obtain more accurate monitoring knot
Fruit, for different types of tested slewing or one species but the tested slewing of different model, the algorithm of use
Model can be different.So at work, needing to obtain the facility information of tested slewing.
The facility information can be what user temporarily inputted when in use.It is set if it is for a certain specific rotation
The standby state monitoring apparatus specially designed, then the algorithm model used be also it is specific, without being manually entered when in use,
During device initialization, corresponding algorithm model is directly acquired.
Then, the current acceleration vibration information of tested slewing is acquired by MEMS vibrating sensor.
After monitoring state of rotating equipment device is installed on tested slewing and starts to work, slewing state prison
The MEMS vibrating sensor surveyed in device acquire in real time is tested the current acceleration vibration information of slewing, and by tested rotation
Turn the current acceleration vibration information of equipment and is sent to artificial intelligence process device.
The acceleration vibration information can use different parameter lists according to the difference of the type of MEMS vibrating sensor
Sign, for example, it may be the raw voltage values of MEMS vibrating sensor internal circuit acquisition, are also possible to obtain after conversion
The acceleration value etc. of tested slewing.
Finally, acceleration vibration information is input to preset target algorithm model by artificial intelligence process device, export
The current operating status of tested slewing, wherein target algorithm model is selected from preset algorithm model library, and is set
The standby corresponding algorithm model of information.
In order to obtain more accurate monitoring result, for different types of tested slewing or one species but
The algorithm model of the tested slewing of different model, use can be different.The facility information for obtaining tested slewing it
Afterwards, acceleration vibration information is input to before preset target algorithm model, it is also necessary to according to the facility information, from pre- imputation
Algorithm model corresponding with facility information is selected in method model library.It pre-sets and is suitable for not in the preset algorithm model library
With the algorithm model of tested slewing.
The current acceleration vibration information of tested slewing is input to preset target algorithm model, it will be automatic
Ground, the current operating status for exporting tested slewing in real time, do not need manually to participate in.
For example, being directed to this slewing of water pump, monitoring state of rotating equipment device is installed to the water that do not start to work
After on pump, the power on button of down state monitoring device, state monitoring apparatus is started to work after initialization.
Firstly, obtaining the facility information of water pump by communication module, then, it is current that MEMS vibrating sensor obtains the water pump
Acceleration vibration information.
Since the water pump does not have started work, artificial intelligence process device selects algorithm model corresponding with the water pump, to water
It pumps after current acceleration vibration information handled, show that the current water pump is in the monitoring result of shutdown status.
Then, water pump is opened, the state that simulation water pump works normally, it is current that MEMS vibrating sensor obtains the water pump in real time
Acceleration vibration information, after being handled using the corresponding algorithm model of the water pump acceleration vibration information current to water pump,
Show that the current water pump is in the monitoring result of normal operating conditions.
Then, water pump is adjusted to cavitation state by the imported valve for adjusting water pump, and cavitation failure, MEMS occurs in simulation water pump
Vibrating sensor continuation obtains the current acceleration vibration information of the water pump in real time, using the corresponding algorithm model of water pump to water
It pumps after current acceleration vibration information handled, show that the current water pump is in the monitoring result of cavitation malfunction.It is logical
Cross method provided in an embodiment of the present invention, can detect in real time tested water pump start and stop judge, misalign, pedestal loosen,
The problems such as bearing body loosening, bearing wear, judging nicety rate is high, can obviously reduce loss caused by due to non-programmed halt,
The inventory of standby redundancy can be reduced and save the cost.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
On the basis of the above embodiments, further, described that the acceleration vibration information is input to preset mesh
Before mark algorithm model, further includes:
The target algorithm model corresponding with the facility information is matched from the preset algorithm model library.
Specifically, in order to obtain more accurate monitoring result, for different types of tested slewing, Huo Zhetong
The algorithm model of the tested slewing of one type but different model, use can be different.Obtaining setting for tested slewing
After standby information, acceleration vibration information is input to before preset target algorithm model, it is also necessary to according to the facility information,
Algorithm model corresponding with facility information is selected from preset algorithm model library.It is pre-set in the preset algorithm model library
Algorithm model suitable for different tested slewings.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
On the basis of the above various embodiments, further, the current operation of the output tested slewing
After state, further includes:
The current operating status of slewing is tested described in real-time display.
Specifically, the present embodiments relate to monitoring state of rotating equipment device further include LED display module.
After artificial intelligence process device calculates the current operating status of tested slewing, by current operating status
It is sent to LED display module, LED display module displays in real time the current operating status of tested slewing.To facilitate use
Family can monitor the current operating status of tested slewing in local side in real time.
In addition, LED display module is also used to show the information such as network signal intensity and battery capacity.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
On the basis of the above various embodiments, further, the current operation of the output tested slewing
After state, further includes:
The acceleration vibration information is sent to cloud server, so that the cloud server is according to the acceleration
Vibration information redefines the current operating status of the tested slewing, and so that user logs in the cloud server
Check the current operating status of the tested slewing redefined.
Specifically, the present embodiments relate to monitoring state of rotating equipment device and cloud server and mobile terminal
Constitute a monitoring state of rotating equipment system.Within the system, monitoring state of rotating equipment device passes through communication module and cloud
End server is attached, and mobile terminal can access cloud server in real time.
It, can also be by communicating mould after artificial intelligence process device calculates the current operating status of tested slewing
Current operating status and acceleration vibration information are sent to cloud server by block, are sending data to cloud server
When, time tag is provided for data packet by the real-time clock RTC block in monitoring state of rotating equipment device, keeps data transmission
Clock it is synchronous.
Cloud server utilizes the advanced algorithm model of cloud server local according to acceleration vibration information, redefines
The current operating status of tested slewing, and the current operating status for redefining tested slewing is saved in cloud
Hold server.
User can access in real time cloud server by mobile terminal, inquire the current operation shape of tested slewing
State.Control instruction can also be issued by mobile terminal accessing cloud server, and to monitoring state of rotating equipment device.
When the current operating status for the tested slewing that cloud server redefines, with monitoring state of rotating equipment
For device when the current operating status for the tested slewing being locally calculated is inconsistent, cloud server is calculated by its
The current operating status of tested slewing is issued to monitoring state of rotating equipment device.And slewing state can be passed through
LED display module in monitoring device displays in real time.
Monitoring state of rotating equipment method provided in an embodiment of the present invention can be supervised easily, in real time by mobile terminal
The problem of controlling the operating condition of tested slewing, need to handling and failure and risk that may be present etc..Also, also to adopt
The operating mode combined with the state monitoring apparatus in edge with cloud server, after finding the problem, state monitoring apparatus
Preliminary judging result is provided, confirms using the advanced algorithm in cloud server, provides the judging result of high confidence level.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
On the basis of the above various embodiments, further, the facility information is the model of the tested slewing.
Specifically, the facility information for being tested slewing can be used as the identity of tested slewing, in order to obtain
Take more accurate monitoring result, for different types of tested slewing or one species but different model it is tested
The algorithm model of slewing, use can be different.So at work, needing to obtain the facility information of tested slewing.
The facility information can be the model for the tested slewing that user temporarily inputs when in use, according to tested rotation
The model for turning equipment selects corresponding algorithm model.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
On the basis of the above various embodiments, further, the facility information includes at least the tested slewing
One of rated speed, voltage rating and rated current.
Specifically, the facility information for being tested slewing can be used as the identity of tested slewing, in order to obtain
Take more accurate monitoring result, for different types of tested slewing or one species but different model it is tested
The algorithm model of slewing, use can be different.So at work, needing to obtain the facility information of tested slewing.
The facility information can be the rated speed of the tested slewing that user temporarily inputs when in use, specified electricity
Pressure and rated current in any one or it is a variety of, according to the rated speed of tested slewing, voltage rating and specified electricity
Any one in stream or the corresponding algorithm model of multiple choices.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
It is further, described that the acceleration vibration information is sent to cloud clothes on the basis of the above various embodiments
It is engaged in after device, further includes:
Receive the current operating status for the tested slewing that the cloud server redefines；
Show the current operating status for the tested slewing that the cloud server redefines.
Specifically, the present embodiments relate to monitoring state of rotating equipment device and cloud server and mobile terminal
Constitute a monitoring state of rotating equipment system.Within the system, monitoring state of rotating equipment device passes through communication module and cloud
End server is attached, and mobile terminal can access cloud server in real time.
It, can also be by communicating mould after artificial intelligence process device calculates the current operating status of tested slewing
Current operating status and acceleration vibration information are sent to cloud server by block, are sending data to cloud server
When, time tag is provided for data packet by the real-time clock RTC block in monitoring state of rotating equipment device, keeps data transmission
Clock it is synchronous.
Cloud server utilizes the advanced algorithm model of cloud server local according to acceleration vibration information, redefines
The current operating status of tested slewing, and the current operating status for redefining tested slewing is saved in cloud
Hold server.
User can access in real time cloud server by mobile terminal, inquire the current operation shape of tested slewing
State.Control instruction can also be issued by mobile terminal accessing cloud server, and to monitoring state of rotating equipment device.
When the current operating status for the tested slewing that cloud server redefines, with monitoring state of rotating equipment
For device when the current operating status for the tested slewing being locally calculated is inconsistent, cloud server is calculated by its
The current operating status of tested slewing is issued to monitoring state of rotating equipment device.And slewing state can be passed through
LED display module in monitoring device displays in real time.
Monitoring state of rotating equipment method provided in an embodiment of the present invention can be supervised easily, in real time by mobile terminal
The problem of controlling the operating condition of tested slewing, need to handling and failure and risk that may be present etc..Also, also to adopt
The operating mode combined with the state monitoring apparatus in edge with cloud server, after finding the problem, state monitoring apparatus
Preliminary judging result is provided, confirms using the advanced algorithm in cloud server, provides the judging result of high confidence level.
Monitoring state of rotating equipment method provided in an embodiment of the present invention is vibrated MEMS using artificial intelligence process device and is passed
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
Fig. 2 is monitoring state of rotating equipment schematic device provided in an embodiment of the present invention, as shown in Fig. 2, the present invention is real
It applies example and a kind of monitoring state of rotating equipment device is provided, for executing any of the above-described method as described in the examples, specifically include
Communication module, MEMS vibrating sensor and artificial intelligence process device, in which:
Communication module is used to obtain the facility information of tested slewing；MEMS vibrating sensor is described tested for acquiring
The current acceleration vibration information of slewing；Artificial intelligence process device is default for the acceleration vibration information to be input to
Target algorithm model, export the current operating status of the tested slewing, wherein the target algorithm model be from
It is selected in preset algorithm model library, algorithm model corresponding with the facility information.
Specifically, monitoring state of rotating equipment device provided in an embodiment of the present invention includes communication module, MEMS vibration
Sensor and artificial intelligence process device.
Monitoring state of rotating equipment device provided in an embodiment of the present invention can be used as an independent equipment and work independently,
A monitoring state of rotating equipment system can also be constituted with cloud server and mobile terminal.Within the system, slewing
State monitoring apparatus is attached by communication module and cloud server, and mobile terminal can access cloud service in real time
Device.
Wherein, communication module can be GPRS module, NB IOT module or bluetooth module, can also be according to actual needs
Select other types of communication module.
After monitoring state of rotating equipment device is started to work, firstly, obtaining setting for tested slewing by communication module
Standby information.
Facility information can be used as the identity of tested slewing, because, in order to obtain more accurate monitoring knot
Fruit, for different types of tested slewing or one species but the tested slewing of different model, the algorithm of use
Model can be different.So at work, needing to obtain the facility information of tested slewing.
The facility information can be what user temporarily inputted when in use.It is set if it is for a certain specific rotation
The standby state monitoring apparatus specially designed, then the algorithm model used be also it is specific, without being manually entered when in use,
During device initialization, corresponding algorithm model is directly acquired.
Then, the current acceleration vibration information of tested slewing is acquired by MEMS vibrating sensor.
After monitoring state of rotating equipment device is installed on tested slewing and starts to work, slewing state prison
The MEMS vibrating sensor surveyed in device acquire in real time is tested the current acceleration vibration information of slewing, and by tested rotation
Turn the current acceleration vibration information of equipment and is sent to artificial intelligence process device.
The acceleration vibration information can use different parameter lists according to the difference of the type of MEMS vibrating sensor
Sign, for example, it may be the raw voltage values of MEMS vibrating sensor internal circuit acquisition, are also possible to obtain after conversion
The acceleration value etc. of tested slewing.
Finally, acceleration vibration information is input to preset target algorithm model by artificial intelligence process device, export
The current operating status of tested slewing, wherein target algorithm model is selected from preset algorithm model library, and is set
The standby corresponding algorithm model of information.
In order to obtain more accurate monitoring result, for different types of tested slewing or one species but
The algorithm model of the tested slewing of different model, use can be different.The facility information for obtaining tested slewing it
Afterwards, acceleration vibration information is input to before preset target algorithm model, it is also necessary to according to the facility information, from pre- imputation
Algorithm model corresponding with facility information is selected in method model library.It pre-sets and is suitable for not in the preset algorithm model library
With the algorithm model of tested slewing.
The current acceleration vibration information of tested slewing is input to preset target algorithm model, it will be automatic
Ground, the current operating status for exporting tested slewing in real time, do not need manually to participate in.
For example, being directed to this slewing of water pump, monitoring state of rotating equipment device is installed to the water that do not start to work
After on pump, the power on button of down state monitoring device, state monitoring apparatus is started to work after initialization.
Firstly, obtaining the facility information of water pump by communication module, then, it is current that MEMS vibrating sensor obtains the water pump
Acceleration vibration information.
Since the water pump does not have started work, artificial intelligence process device selects algorithm model corresponding with the water pump, to water
It pumps after current acceleration vibration information handled, show that the current water pump is in the monitoring result of shutdown status.
Then, water pump is opened, the state that simulation water pump works normally, it is current that MEMS vibrating sensor obtains the water pump in real time
Acceleration vibration information, after being handled using the corresponding algorithm model of the water pump acceleration vibration information current to water pump,
Show that the current water pump is in the monitoring result of normal operating conditions.
Then, water pump is adjusted to cavitation state by the imported valve for adjusting water pump, and cavitation failure, MEMS occurs in simulation water pump
Vibrating sensor continuation obtains the current acceleration vibration information of the water pump in real time, using the corresponding algorithm model of water pump to water
It pumps after current acceleration vibration information handled, show that the current water pump is in the monitoring result of cavitation malfunction.It is logical
Cross device provided in an embodiment of the present invention, can detect in real time tested water pump start and stop judge, misalign, pedestal loosen,
The problems such as bearing body loosening, bearing wear, judging nicety rate is high, can obviously reduce loss caused by due to non-programmed halt,
The inventory of standby redundancy can be reduced and save the cost.
The embodiment of the present invention provides a kind of monitoring state of rotating equipment device, for executing described in any of the above-described embodiment
Method, the device provided through this embodiment executes the specific steps and above-mentioned phase of above-mentioned a certain method as described in the examples
Answer embodiment identical, details are not described herein again.
Monitoring state of rotating equipment device provided in an embodiment of the present invention vibrates MEMS using artificial intelligence process device and passes
The acceleration vibration information of sensor acquisition is handled in real time, obtains the current operating status of tested slewing, can
It realizes the real-time monitoring to slewing, and eliminates the inaccuracy of result caused by artificial analyze, avoiding may deposit
Risk.
Finally, being installed on water pump with monitoring state of rotating equipment device, for specific example, the present invention will be described.
(1) state monitoring apparatus is installed on the water pump to stop working.
(2) cell phone application is downloaded, user's registration is completed.
(3) cell phone application, the two dimensional code in scanning mode monitoring device, the information of binding state monitoring device, input are used
Installation site, the necessaries information such as matching water pump, motor model.
(4) long-pressing starting key boots up.After booting, display screen shows that 8,88,888 represent self-test completion.It inquires
The current operating conditions of network signal intensity, battery capacity, water pump can be shown after network, then display screen display is closed, and is saved
Power consumption.
(5) 2 minutes or so, cell phone application will receive the data of state monitoring apparatus upload.It shows that water pump is at this time to shut down
State.
(6) water pump is switched on, and works normally.
(7) 3 minutes or so, mobile phone will receive the data of state monitoring apparatus upload, show that equipment is normal, represents water at this time
Pump just at work, works well.
(8) imported valve for adjusting water pump at this time, is adjusted to cavitation state for water pump.
(9) 3 minutes or so, mobile phone will receive the data of state monitoring apparatus upload, show equipment cavitation at this time, and can give
Cavitation occurs for event to be processed out, represents pump working in cavitation state, abnormal probability 100%.APP production can be clicked at this time to examine
Disconnected report, and save to file.
(10) valve is adjusted, water pump is adjusted into the normal working condition of work.
(11) 3 minutes or so, mobile phone will receive the data of state monitoring apparatus upload, show that equipment is normal at this time, represent
Water pump just at work, works well.
Fig. 3 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, the equipment includes: place
Device (processor) 301, memory (memory) 302, bus 303 are managed, and storage is on a memory and can be on a processor
The computer program of operation.
Wherein, processor 301 and memory 302 complete mutual communication by bus 303；
Processor 301 is for calling and executing the computer program in memory 302, to execute above-mentioned each method embodiment
In step, for example,
Obtain the facility information of tested slewing；
Acquire the current acceleration vibration information of the tested slewing；
The acceleration vibration information is input to preset target algorithm model, exports working as the tested slewing
Preceding operating status, wherein the target algorithm model is selected from preset algorithm model library, with the facility information phase
Corresponding algorithm model.
In addition, the logical order in above-mentioned memory can be realized and as independence by way of SFU software functional unit
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention provides a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out the step in above-mentioned each method embodiment, for example,
Obtain the facility information of tested slewing；
Acquire the current acceleration vibration information of the tested slewing；
The acceleration vibration information is input to preset target algorithm model, exports working as the tested slewing
Preceding operating status, wherein the target algorithm model is selected from preset algorithm model library, with the facility information phase
Corresponding algorithm model.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, is stored thereon with computer program, when
When the computer program is executed by processor, the step in above-mentioned each method embodiment is realized, for example,
Obtain the facility information of tested slewing；
Acquire the current acceleration vibration information of the tested slewing；
The acceleration vibration information is input to preset target algorithm model, exports working as the tested slewing
Preceding operating status, wherein the target algorithm model is selected from preset algorithm model library, with the facility information phase
Corresponding algorithm model.
The embodiments such as device and equipment described above are only schematical, wherein described be used as separate part description
Unit may or may not be physically separated, component shown as a unit may or may not be
Physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to the actual needs
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying
In the case where creative labor, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of monitoring state of rotating equipment method characterized by comprising
Obtain the facility information of tested slewing；
Acquire the current acceleration vibration information of the tested slewing；
The acceleration vibration information is input to preset target algorithm model, exports the current of the tested slewing
Operating status, wherein the target algorithm model is selected from preset algorithm model library, corresponding with the facility information
Algorithm model.
2. monitoring state of rotating equipment method according to claim 1, which is characterized in that described to vibrate the acceleration
Before information input to preset target algorithm model, further includes:
The target algorithm model corresponding with the facility information is matched from the preset algorithm model library.
3. monitoring state of rotating equipment method according to claim 1, which is characterized in that the output tested rotation
After the current operating status of equipment, further includes:
The current operating status of slewing is tested described in real-time display.
4. monitoring state of rotating equipment method according to claim 1, which is characterized in that the output tested rotation
After the current operating status of equipment, further includes:
The acceleration vibration information is sent to cloud server, so that the cloud server is vibrated according to the acceleration
Information redefines the current operating status of the tested slewing, and checks so that user logs in the cloud server
The current operating status of the tested slewing redefined.
5. monitoring state of rotating equipment method according to claim 1, which is characterized in that the facility information is the quilt
Survey the model of slewing.
6. monitoring state of rotating equipment method according to claim 1, which is characterized in that the facility information includes at least
One of rated speed, voltage rating and the rated current of the tested slewing.
7. monitoring state of rotating equipment method according to claim 4, which is characterized in that described to vibrate the acceleration
Information is sent to after cloud server, further includes:
Receive the current operating status for the tested slewing that the cloud server redefines；
Show the current operating status for the tested slewing that the cloud server redefines.
8. a kind of monitoring state of rotating equipment device characterized by comprising
Communication module, for obtaining the facility information of tested slewing；
MEMS vibrating sensor, for acquiring the current acceleration vibration information of the tested slewing；
Artificial intelligence process device, for the acceleration vibration information to be input to preset target algorithm model, described in output
The current operating status of tested slewing, wherein the target algorithm model is selected from preset algorithm model library,
Algorithm model corresponding with the facility information.
9. a kind of electronic equipment, including memory, processor, and it is stored on the memory and can be on the processor
The computer program of operation, which is characterized in that when the processor executes the computer program, realize such as claim 1 to 7
The step of any one monitoring state of rotating equipment method.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that when the meter
When calculation machine program is executed by processor, realize as described in claim 1 to 7 is any the step of monitoring state of rotating equipment method.
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| CN201910431263.0A CN110160813A (en) | 2019-05-22 | 2019-05-22 | Monitoring state of rotating equipment method and device |
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| CN201910431263.0A CN110160813A (en) | 2019-05-22 | 2019-05-22 | Monitoring state of rotating equipment method and device |
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