CN107656156A - A kind of equipment fault diagnosis and running status appraisal procedure and system based on cloud platform - Google Patents
A kind of equipment fault diagnosis and running status appraisal procedure and system based on cloud platform Download PDFInfo
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- CN107656156A CN107656156A CN201710862958.5A CN201710862958A CN107656156A CN 107656156 A CN107656156 A CN 107656156A CN 201710862958 A CN201710862958 A CN 201710862958A CN 107656156 A CN107656156 A CN 107656156A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The invention discloses a kind of equipment fault diagnosis based on cloud platform and running status appraisal procedure and system, the present invention can not only realize the real-time monitoring and evaluation to specific equipment, the running situation of each equipment can be understood in real time in advance, and find out the equipment with potential faults and carry out key monitoring, units monitoring is entered to the equipment of potential faults, to further appreciate that the element of potential faults equipment and module running situation, so, while assessment is monitored, find specific trouble point, advanced processing is carried out for administrative staff, handle it in advance scheme, in addition, the present invention only specifically monitors to the equipment progress next stage of faulty hidden danger, monitoring parameter can be reduced, improve monitoring efficiency, save monitoring resource.
Description
Technical field
The present invention relates to a kind of equipment fault diagnosis based on cloud platform and running status appraisal procedure and system, belong to and set
Standby Automated condtrol and monitoring technical field.
Background technology
At present, the operation of equipment is completed with assessing typically by the way of manually recorded, and the mode of this record is basic
It is fairly simple, it is typically only the operational factor for every compartment time looking over equipment, to determine the situation of equipment operation, this
Kind of appraisal procedure is typically only suitable for the assessment on surface, is typically only just to be found after equipment breaks down, and can not realize in advance pair
The monitoring and assessment of equipment operation, so that the failure disposal in advance to equipment is anticipated, this serious shadow of assessment mode
The continuous service of equipment is rung, harmful effect is produced to producing or living.
And with the continuous development and application of cloud computing, how by cloud computing and cloud platform be applied to equipment fault diagnosis with
Operation is assessed, and has extremely important effect for the diagnosis in advance and processing of equipment fault, but also it is strong to reduce work
Degree, realize automatic monitoring and assess.
The present invention is directed to problem above, there is provided a kind of equipment fault diagnosis and running status appraisal procedure based on cloud platform
With system, to ensure discovering device failure problems in advance and to know the element or module of specific failure ahead of time, to improve
To the foresight effect of equipment processing.
The content of the invention
To achieve the above object, the present invention provides following technical scheme：A kind of equipment fault diagnosis based on cloud platform and
Running status appraisal procedure, it is characterised in that it comprises the following steps：
（1）Equipment trip information is sent to cloud platform by i-th of equipment with matrix X likeness in form by cloud platform communication module
Coagulation device, wherein, i is the integer more than or equal to 1 and less than n, and n is total number of devices；
（2）Cloud platform judges in period of time T whether each operational factor in the operational factor matrix X of i-th of equipment is located
In in given threshold, if each operational factor is in working in given threshold, equipment trip information matrix is deposited
It is stored in cloud platform data storage, machine operation is stored；If not setting occurs in i-th of equipment operational factor
Determine the abnormal conditions in threshold value, then cloud platform is recorded in the period of time T, and the abnormal time t of abnormal conditions occurs in the parameter,
And abnormal information and abnormal time are stored；
（3）If abnormal time t size is less than abnormal time setting value, continue to monitor into next period of time T, such as
Fruit abnormal time t size is more than abnormal time setting value, then cloud platform sends next stage monitoring order, starts i-th of equipment
Each core parts and module monitoring sensor, and by the service data of each core parts and module with matrix Y likeness in form
It is sent to cloud platform secondary processor；
（4）Cloud platform secondary processor judged in time cycle Q, each operation in the matrix Y of j-th of core parts and module
Whether parameter is in given threshold, if each operational factor is in working in given threshold, i-th of equipment is run
Parameter information matrix is stored in cloud platform data storage, and machine operation is stored, and i-th of equipment is not done
Processing；If there is the not abnormal conditions in given threshold, cloud platform note in the operational factor of j-th of core parts and module
In time cycle Q, there is the abnormal time q of abnormal conditions in the operational factor of j-th of core parts and module for record, and to different
Normal information and abnormal time are stored；
（5）If abnormal time q size is less than element abnormal time setting value, continue to supervise into next time cycle Q
Survey, and 100 time cycle Q of continuous monitoring, if in 100 time cycles, abnormal total time is less than the element replacement time,
Then continue monitoring to use, if within 100 time cycles, abnormal total time is more than the element replacement time, then cloud platform is sent out
The alarm command for going out maintenance or replacing element gives plant maintenance personnel, is handled for equipment personnel, and require plant maintenance personnel
Feedback processing information；
（6）If abnormal time q size is more than element abnormal time setting value, 5 time cycles of cloud platform continuous monitoring
Q, if in 5 time cycles, abnormal total time is more than 5 times of element abnormal time setting value, then cloud platform sends dimension
The alarm command for repairing or changing element gives plant maintenance personnel, is handled for equipment personnel, and requires that plant maintenance personnel feed back
Processing information, if in 5 time cycles, abnormal total time is less than 5 times of element abnormal time setting value, then continue continuous
100 time cycle Q are monitored, if in 100 time cycles, abnormal total time is less than the element replacement time, then continues to supervise
Survey use, if within 100 time cycles, abnormal total time is more than the element replacement time, then cloud platform send repair or
The alarm command that person changes element gives plant maintenance personnel, is handled for equipment personnel, and require plant maintenance personnel's feedback processing
Information.
Further, preferably, the step（5）With step（6）In, the element replacement time in advance according to element or
The numerical value that the type of module is set, and the element replacement time and the service life of the element or module, the side changed
Just property and status shared in the device determine.
Further, preferably, equipment trip information in the matrix X comprise at least electric current, voltage, power,
Vibration equipment frequency, equipment operation noise.
Further, preferably, the equipment trip information in the matrix X also includes power average value, power is put down
Equal changing value, vibration equipment amplitude, vibration amplitude average change value and equipment operation noise average change value.
Further, preferably, the power average value is calculated using equation below：
, wherein, K is by the interior number gathered of period of time T；
Power averaging changing value is calculated using equation below：
, wherein, G is the G time cycle, and r is penalty coefficient, and r is typically taken as 1,For G
Time cycle power average value；
Vibration amplitude average change value uses below equation：
,For the G time cycle vibration amplitude average value；
Equipment operation noise average change value uses below equation：
,For the G time cycle equipment noise average value.
Further, preferably, the invention provides a kind of equipment fault diagnosis based on cloud platform and running status to comment
Estimate system, it is characterised in that：It includes：
Equipment operational factor monitors sensor：The equipment operational factor monitoring sensor is responsible for monitoring the fortune of each equipment in real time
Row Parameter data information；
The operational factor of each element and module monitors sensor in equipment：The operation ginseng of each element and module in the equipment
Number monitoring sensors monitor the operational factors of each element and module in respective equipment respectively, and in the equipment each element with
The operational factor monitoring sensor of module only adopts unlatching when the exception that the equipment operational factor occurs needing emphasis to monitor；
Cloud platform communication module：The cloud platform communication module monitors each in sensor and equipment to equipment operational factor in real time
The Monitoring Data that individual element monitors sensor with the operational factor of module is transmitted with communicating；
Cloud platform coagulation device：The Monitoring Data that cloud platform coagulation device is responsible for monitoring equipment operational factor sensor is entered
Row processing and analysis；
Cloud platform secondary processor：Cloud platform secondary processor is responsible for monitoring the operational factor of each element and module in equipment
The Monitoring Data of sensor is handled and analyzed；
Warning device：The abnormal letter that the warning device handles to obtain to cloud platform coagulation device and cloud platform secondary processor
Breath is alarmed；
Wherein, cloud platform coagulation device and cloud platform secondary processor are assessed using appraisal procedure of the present invention
Processing.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention can not only realize the real-time monitoring and evaluation to specific equipment, can be in advance to the running situation of each equipment
Understood in real time, and find out the equipment with potential faults and carry out key monitoring, units prison is entered to the equipment of potential faults
Survey, to further appreciate that the element of potential faults equipment and module running situation, so, while assessment is monitored, find
Specific trouble point, advanced processing, scheme of handling it in advance are carried out for administrative staff, in addition, the present invention is only to faulty hidden
The equipment of trouble carries out next stage and specifically monitored, it is possible to reduce monitoring parameter, improves monitoring efficiency, saves monitoring resource.
Brief description of the drawings
Fig. 1 is the structural frames signal of the present invention a kind of equipment fault diagnosis and running status assessment system based on cloud platform
Figure.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1, the present invention provides a kind of technical scheme：A kind of equipment fault diagnosis and operation shape based on cloud platform
State appraisal procedure, it is characterised in that it comprises the following steps：
（1）Equipment trip information is sent to cloud platform by i-th of equipment with matrix X likeness in form by cloud platform communication module
Coagulation device, wherein, i is the integer more than or equal to 1 and less than n, and n is total number of devices；
（2）Cloud platform judges in period of time T whether each operational factor in the operational factor matrix X of i-th of equipment is located
In in given threshold, if each operational factor is in working in given threshold, equipment trip information matrix is deposited
It is stored in cloud platform data storage, machine operation is stored；If not setting occurs in i-th of equipment operational factor
Determine the abnormal conditions in threshold value, then cloud platform is recorded in the period of time T, and the abnormal time t of abnormal conditions occurs in the parameter,
And abnormal information and abnormal time are stored；
（3）If abnormal time t size is less than abnormal time setting value, continue to monitor into next period of time T, such as
Fruit abnormal time t size is more than abnormal time setting value, then cloud platform sends next stage monitoring order, starts i-th of equipment
Each core parts and module monitoring sensor, and by the service data of each core parts and module with matrix Y likeness in form
It is sent to cloud platform secondary processor；
（4）Cloud platform secondary processor judged in time cycle Q, each operation in the matrix Y of j-th of core parts and module
Whether parameter is in given threshold, if each operational factor is in working in given threshold, i-th of equipment is run
Parameter information matrix is stored in cloud platform data storage, and machine operation is stored, and i-th of equipment is not done
Processing；If there is the not abnormal conditions in given threshold, cloud platform note in the operational factor of j-th of core parts and module
In time cycle Q, there is the abnormal time q of abnormal conditions in the operational factor of j-th of core parts and module for record, and to different
Normal information and abnormal time are stored；
（5）If abnormal time q size is less than element abnormal time setting value, continue to supervise into next time cycle Q
Survey, and 100 time cycle Q of continuous monitoring, if in 100 time cycles, abnormal total time is less than the element replacement time,
Then continue monitoring to use, if within 100 time cycles, abnormal total time is more than the element replacement time, then cloud platform is sent out
The alarm command for going out maintenance or replacing element gives plant maintenance personnel, is handled for equipment personnel, and require plant maintenance personnel
Feedback processing information；
（6）If abnormal time q size is more than element abnormal time setting value, 5 time cycles of cloud platform continuous monitoring
Q, if in 5 time cycles, abnormal total time is more than 5 times of element abnormal time setting value, then cloud platform sends dimension
The alarm command for repairing or changing element gives plant maintenance personnel, is handled for equipment personnel, and requires that plant maintenance personnel feed back
Processing information, if in 5 time cycles, abnormal total time is less than 5 times of element abnormal time setting value, then continue continuous
100 time cycle Q are monitored, if in 100 time cycles, abnormal total time is less than the element replacement time, then continues to supervise
Survey use, if within 100 time cycles, abnormal total time is more than the element replacement time, then cloud platform send repair or
The alarm command that person changes element gives plant maintenance personnel, is handled for equipment personnel, and require plant maintenance personnel's feedback processing
Information.
In the present embodiment, the step（5）With step（6）In, the element replacement time is in advance according to element or mould
The numerical value that the type of block is set, and the element replacement time and the service life of the element or module, the convenience changed
Property and status shared in the device determine, such as, the equipment of long lifespan or change what convenient equipment can be set
The element replacement time is grown, and is easier the equipment of damage or is difficult to change and the element of equipment generation considerable influence is set
The fixed time is shorter.Wherein, the equipment trip information in the matrix X comprises at least electric current, voltage, power, equipment and shaken
Dynamic frequency, equipment operation noise.
In the present embodiment, in order to improve the degree of accuracy of monitoring, the equipment trip information in the matrix X also includes
Power average value, power averaging changing value, vibration equipment amplitude, vibration amplitude average change value and equipment operation noise averagely become
Change value.
Wherein, the power average value is calculated using equation below：
, wherein, K is by the interior number gathered of period of time T；
Power averaging changing value is calculated using equation below：
, wherein, G is the G time cycle, and r is penalty coefficient, and r is typically taken as 1,For G
Time cycle power average value；
Vibration amplitude average change value uses below equation：
,For the G time cycle vibration amplitude average value；
Equipment operation noise average change value uses below equation：
,For the G time cycle equipment noise average value.
In addition, the invention provides a kind of equipment fault diagnosis based on cloud platform and running status assessment system, it is special
Sign is：It includes：
Equipment operational factor monitors sensor：The equipment operational factor monitoring sensor is responsible for monitoring the fortune of each equipment in real time
Row Parameter data information；
The operational factor of each element and module monitors sensor in equipment：The operation ginseng of each element and module in the equipment
Number monitoring sensors monitor the operational factors of each element and module in respective equipment respectively, and in the equipment each element with
The operational factor monitoring sensor of module only adopts unlatching when the exception that the equipment operational factor occurs needing emphasis to monitor；
Cloud platform communication module：The cloud platform communication module monitors each in sensor and equipment to equipment operational factor in real time
The Monitoring Data that individual element monitors sensor with the operational factor of module is transmitted with communicating；
Cloud platform coagulation device：The Monitoring Data that cloud platform coagulation device is responsible for monitoring equipment operational factor sensor is entered
Row processing and analysis；
Cloud platform secondary processor：Cloud platform secondary processor is responsible for monitoring the operational factor of each element and module in equipment
The Monitoring Data of sensor is handled and analyzed；
Warning device：The abnormal letter that the warning device handles to obtain to cloud platform coagulation device and cloud platform secondary processor
Breath is alarmed；
Wherein, cloud platform coagulation device and cloud platform secondary processor are assessed using appraisal procedure of the present invention
Processing.
The present invention can not only realize real-time monitoring and evaluation to specific equipment, operation that can in advance to each equipment
Situation is understood in real time, and is found out the equipment with potential faults and carried out key monitoring, and member is carried out to the equipment of potential faults
Part monitors, to further appreciate that the element of potential faults equipment and module running situation, so, while assessment is monitored,
Specific trouble point is found, advanced processing, scheme of handling it in advance are carried out for administrative staff, in addition, the present invention is only to there is event
The equipment of barrier hidden danger carries out next stage and specifically monitored, it is possible to reduce monitoring parameter, improves monitoring efficiency, saves monitoring resource.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
1. a kind of equipment fault diagnosis and running status appraisal procedure based on cloud platform, it is characterised in that it includes following step
Suddenly：
（1）Equipment trip information is sent to cloud platform by i-th of equipment with matrix X likeness in form by cloud platform communication module
Coagulation device, wherein, i is the integer more than or equal to 1 and less than n, and n is total number of devices；
（2）Cloud platform judges in period of time T whether each operational factor in the operational factor matrix X of i-th of equipment is located
In in given threshold, if each operational factor is in working in given threshold, equipment trip information matrix is deposited
It is stored in cloud platform data storage, machine operation is stored；If not setting occurs in i-th of equipment operational factor
Determine the abnormal conditions in threshold value, then cloud platform is recorded in the period of time T, and the abnormal time t of abnormal conditions occurs in the parameter,
And abnormal information and abnormal time are stored；
（3）If abnormal time t size is less than abnormal time setting value, continue to monitor into next period of time T, such as
Fruit abnormal time t size is more than abnormal time setting value, then cloud platform sends next stage monitoring order, starts i-th of equipment
Each core parts and module monitoring sensor, and by the service data of each core parts and module with matrix Y likeness in form
It is sent to cloud platform secondary processor；
（4）Cloud platform secondary processor judged in time cycle Q, each operation in the matrix Y of j-th of core parts and module
Whether parameter is in given threshold, if each operational factor is in working in given threshold, i-th of equipment is run
Parameter information matrix is stored in cloud platform data storage, and machine operation is stored, and i-th of equipment is not done
Processing；If there is the not abnormal conditions in given threshold, cloud platform note in the operational factor of j-th of core parts and module
In time cycle Q, there is the abnormal time q of abnormal conditions in the operational factor of j-th of core parts and module for record, and to different
Normal information and abnormal time are stored；
（5）If abnormal time q size is less than element abnormal time setting value, continue to supervise into next time cycle Q
Survey, and 100 time cycle Q of continuous monitoring, if in 100 time cycles, abnormal total time is less than the element replacement time,
Then continue monitoring to use, if within 100 time cycles, abnormal total time is more than the element replacement time, then cloud platform is sent out
The alarm command for going out maintenance or replacing element gives plant maintenance personnel, is handled for equipment personnel, and require plant maintenance personnel
Feedback processing information；
（6）If abnormal time q size is more than element abnormal time setting value, 5 time cycles of cloud platform continuous monitoring
Q, if in 5 time cycles, abnormal total time is more than 5 times of element abnormal time setting value, then cloud platform sends dimension
The alarm command for repairing or changing element gives plant maintenance personnel, is handled for equipment personnel, and requires that plant maintenance personnel feed back
Processing information, if in 5 time cycles, abnormal total time is less than 5 times of element abnormal time setting value, then continue continuous
100 time cycle Q are monitored, if in 100 time cycles, abnormal total time is less than the element replacement time, then continues to supervise
Survey use, if within 100 time cycles, abnormal total time is more than the element replacement time, then cloud platform send repair or
The alarm command that person changes element gives plant maintenance personnel, is handled for equipment personnel, and require plant maintenance personnel's feedback processing
Information.
2. a kind of equipment fault diagnosis and running status appraisal procedure based on cloud platform according to claim 1 are with being
System, it is characterised in that：The step（5）With step（6）In, the element replacement time is in advance according to element or the type of module
The numerical value set, and the service life of the element replacement time and the element or module, the convenience changed and
Shared status determines in the equipment.
3. a kind of equipment fault diagnosis and running status appraisal procedure based on cloud platform according to claim 1 are with being
System, it is characterised in that：Equipment trip information in the matrix X comprises at least electric current, voltage, power, vibration equipment frequency
Rate, equipment operation noise.
4. a kind of equipment fault diagnosis and running status appraisal procedure based on cloud platform according to claim 3 are with being
System, it is characterised in that：Equipment trip information in the matrix X also includes power average value, power averaging changing value, set
Standby vibration amplitude, vibration amplitude average change value and equipment operation noise average change value.
5. a kind of equipment fault diagnosis and running status appraisal procedure based on cloud platform according to claim 4 are with being
System, it is characterised in that：The power average value is calculated using equation below：
, wherein, K is by the interior number gathered of period of time T；
Power averaging changing value is calculated using equation below：
, wherein, G is the G time cycle, and r is penalty coefficient, and r is typically taken as 1,For the G when
Between Cyclical power average value；
Vibration amplitude average change value uses below equation：
,For the G time cycle vibration amplitude average value；
Equipment operation noise average change value uses below equation：
,For the G time cycle equipment noise average value.
6. a kind of equipment fault diagnosis and running status assessment system based on cloud platform according to claim 1, it is special
Sign is：It includes：
Equipment operational factor monitors sensor：The equipment operational factor monitoring sensor is responsible for monitoring the fortune of each equipment in real time
Row Parameter data information；
The operational factor of each element and module monitors sensor in equipment：The operation ginseng of each element and module in the equipment
Number monitoring sensors monitor the operational factors of each element and module in respective equipment respectively, and in the equipment each element with
The operational factor monitoring sensor of module only adopts unlatching when the exception that the equipment operational factor occurs needing emphasis to monitor；
Cloud platform communication module：The cloud platform communication module monitors each in sensor and equipment to equipment operational factor in real time
The Monitoring Data that individual element monitors sensor with the operational factor of module is transmitted with communicating；
Cloud platform coagulation device：The Monitoring Data that cloud platform coagulation device is responsible for monitoring equipment operational factor sensor is entered
Row processing and analysis；
Cloud platform secondary processor：Cloud platform secondary processor is responsible for monitoring the operational factor of each element and module in equipment
The Monitoring Data of sensor is handled and analyzed；
Warning device：The abnormal letter that the warning device handles to obtain to cloud platform coagulation device and cloud platform secondary processor
Breath is alarmed；
Wherein, cloud platform coagulation device and cloud platform secondary processor are using commenting described in claim 1-5 any one
The method of estimating carries out assessment processing.
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| CN108628274A (en) * | 2018-06-29 | 2018-10-09 | 河南聚合科技有限公司 | A kind of quality control lifting system platform based on closed loop feedback optimization |
| CN109214529A (en) * | 2018-08-31 | 2019-01-15 | 深圳市紫衡技术有限公司 | A kind of Mechatronic Systems preventive maintenance method and system, equipment, storage medium |
| CN109615279A (en) * | 2019-01-24 | 2019-04-12 | 山东科技大学 | A kind of assessment of main coal flow system balanced ratio and monitoring method towards balanced production |
| CN111198525A (en) * | 2020-01-03 | 2020-05-26 | 扬州海铭石油工程技术有限公司 | Audio monitoring system based on operation of oilfield field equipment and fault detection method |
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