CN103345785B - Unit exception monitoring shutdown method - Google Patents
Unit exception monitoring shutdown method Download PDFInfo
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- CN103345785B CN103345785B CN201310295533.2A CN201310295533A CN103345785B CN 103345785 B CN103345785 B CN 103345785B CN 201310295533 A CN201310295533 A CN 201310295533A CN 103345785 B CN103345785 B CN 103345785B
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Abstract
The invention provides a kind of unit exception monitoring shutdown method.In the unit exception monitoring shutdown method that the embodiment of the present invention provides; equipment operating data is kept in data black box when equipment runs; and when according to trigger parameter judgment device cancel closedown, the service data in black box is transferred in volatile data base and preserves.Compared with prior art, the embodiment of the present invention can automatic decision equipment whether cancel closedown, and preserves service data when unit exception is shut down, for consequent malfunction analysis, convenient and swift.
Description
Technical field
The present invention relates to plant equipment monitoring technical field, especially relate to a kind of unit exception monitoring shutdown method.
Background technology
Employ rotating machinery in a large number in industrial enterprise, the nucleus equipment of these equipment Dou Shi industrial enterprise, once break down, cause direct, indirect loss is all very huge.Therefore, user needs automatically to record vibration complete before and after cancel closedown, operation process amount data, and these data will be conducive to the reason of analytical equipment cancel closedown, find equipment failure point fast, facilitate plant maintenance, maintenance.
At present; there is event sequence recording system (SOE) market, can carry out high density recording to the sequence of movement of each switch, but there is no when cancel closedown the service data that equipment runs; such as vibration data and operation process amount data etc., carry out equipment and the method for high density recording.
Summary of the invention
The invention provides a kind of unit exception monitoring shutdown method, it can solve cannot when unit exception is shut down to the technical matters that service data stores in prior art.
The invention provides a kind of unit exception monitoring shutdown method, comprising:
Monitoring equipment service data, is stored in data black box by described service data according to the mode of first in first out;
Receive trigger parameter, judge described equipment whether cancel closedown according to described trigger parameter;
When judging that described unit exception is shut down, the service data in data black box is transferred in volatile data base.
As from the foregoing; in the unit exception monitoring shutdown method that the embodiment of the present invention provides; equipment operating data is kept in data black box when equipment runs; and when according to trigger parameter judgment device cancel closedown, the service data in black box is transferred in volatile data base and preserves.Compared with prior art, the embodiment of the present invention can automatic decision equipment whether cancel closedown, and preserves service data when unit exception is shut down, for consequent malfunction analysis, convenient and swift.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the unit exception monitoring shutdown method that first embodiment of the invention provides;
Fig. 2 is the schematic flow sheet of the unit exception monitoring shutdown method that second embodiment of the invention provides;
Fig. 3 is the schematic flow sheet of the unit exception monitoring shutdown method that third embodiment of the invention provides;
Fig. 4 is cancel closedown decision flow chart in the unit exception monitoring shutdown method that provides of the embodiment of the present invention three.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
See the schematic flow sheet that Fig. 1, Fig. 1 are the unit exception monitoring shutdown methods that first embodiment of the invention provides.
As shown in the figure, the unit exception monitoring shutdown method that the embodiment of the present invention provides comprises:
Step 110, monitoring equipment service data, be stored in described service data in data black box according to the mode of first in first out.
Concrete, equipment operating data comprises vibration data, the operation process amount data of equipment.Wherein, the type of equipment comprises rotating machinery etc.
The memory length of data black box and recording density are adjustable, and the storage mode of first in first out can ensure to store up-to-date service data in data black box.
Wherein, data black box then can be arranged in the internal memory of computing machine.
Step 120, receive trigger parameter, judge described equipment whether cancel closedown according to described trigger parameter.
Concrete, the embodiment of the present invention, while monitoring equipment service data, receives trigger parameter, and judges described equipment whether cancel closedown according to this trigger parameter.
Wherein, trigger parameter generates according to running status when equipment runs, and user can adjust trigger parameter according to actual needs.
Step 130, when judging that described unit exception is shut down, the service data in data black box to be transferred in volatile data base.
Concrete, the service data in data black box, when determining apparatus cancel closedown, is transferred in volatile data base by the embodiment of the present invention.Wherein, the length of volatile data base can be arranged flexibly, and the service data in data black box can adopt the mode of first in first out to be stored in volatile data base.
In the unit exception monitoring shutdown method that the embodiment of the present invention provides; equipment operating data is kept in data black box when equipment runs; and when according to trigger parameter judgment device cancel closedown, the service data in black box is transferred in volatile data base and preserves.Compared with prior art, the embodiment of the present invention can automatic decision equipment whether cancel closedown, and preserves service data when unit exception is shut down, for consequent malfunction analysis, convenient and swift.
In the present embodiment, after the service data in data black box is transferred to volatile data base, equipment can also generate manual control information when artificial participation, and the embodiment of the present invention can also comprise step 140.
Step 140, receive manual control signal, according to described manual control signal by data batchmove in volatile data base in persistent database.
Wherein, the data in persistent database can forever retain, and call when being convenient to follow-up fault analysis.
In embodiments of the present invention, may occur the data of really cancel closedown, at this moment allow manually to participate in judging, by data batchmove to persistent database, the data of volatile data base will be deleted over time automatically.The storage of junk data can be reduced like this.
See the schematic flow sheet that Fig. 2, Fig. 2 are the unit exception monitoring shutdown methods that second embodiment of the invention provides.
As shown in the figure, the unit exception monitoring shutdown method that the embodiment of the present invention provides comprises:
Step 210, monitoring equipment service data, be stored in described service data in data black box according to the mode of first in first out.
Step 220, receive trigger parameter, judge described equipment whether cancel closedown according to described trigger parameter.
Wherein, the implementation procedure of step 210-220 is identical with the step 110-120 in above-described embodiment one, and details, see above-described embodiment one, do not repeat them here.
In embodiments of the present invention, when determining apparatus cancel closedown, the step (the i.e. above-mentioned steps 130) service data in data black box transferred in volatile data base specifically comprises:
Step 230, when judging that described unit exception is shut down, generate storage control signal.
Concrete, the embodiment of the present invention, when according to trigger parameter determining apparatus cancel closedown, generates storage control signal, the step of storage control signal trigger data transfer, i.e. step 240.
Step 240, according to described storage control signal, the service data in data black box to be transferred in volatile data base.
Wherein, the length of volatile data base can be arranged flexibly, and the service data in data black box can adopt the mode of first in first out to be stored in volatile data base.Further, by the data in data black box being removed, this cancel closedown data are removed backup, and data black box can work on, and store cancel closedown data next time.
In embodiments of the present invention, when judging that described unit exception is shut down, generating storage control signal, according to described storage control signal, the service data in data black box being transferred in volatile data base.Compared with prior art, the embodiment of the present invention can automatic decision equipment whether cancel closedown, and preserves service data when unit exception is shut down, for consequent malfunction analysis, convenient and swift.
See the schematic flow sheet that Fig. 3, Fig. 3 are the unit exception monitoring shutdown methods that third embodiment of the invention provides.
As shown in the figure, the unit exception monitoring shutdown method that the embodiment of the present invention provides comprises:
Step 310, monitoring equipment service data, be stored in described service data in data black box according to the mode of first in first out.
Wherein, the implementation procedure of step 310 is identical with the step 110 in above-described embodiment one, and details, see above-described embodiment one, do not repeat them here.
Step 320, receive trigger parameter, judge described equipment whether cancel closedown according to described trigger parameter, described trigger parameter comprises equipment and to shut down signal and equipment orderly closedown signal.
In embodiments of the present invention, equipment orderly closedown signal comes from communication or cable connects, and provided by other system, this signal effectively represents that rotating machinery is orderly closedown; The equipment signal that shuts down comes from communication or cable and connects, and provided by other system, this signal becomes effectively from invalid, represents that rotating machinery produces and once shuts down.
According to described trigger parameter, the embodiment of the present invention judges that the step (step 120 namely in above-described embodiment) of described equipment whether cancel closedown specifically comprises:
Whether step 330, the judgment device signal that shuts down is effective and whether equipment orderly closedown signal is invalid.
If step 340 equipment shuts down, signal is for effectively and equipment orderly closedown signal is invalid, then judge that described equipment is as cancel closedown.
Wherein, equipment orderly closedown signal is invalidly show equipment disorderly closedown.
In embodiments of the present invention, judgment device shuts down signal for effectively and equipment orderly closedown signal is invalid, then judge that described equipment is as cancel closedown, perform following steps 350.
If equipment shuts down, signal is invalid or equipment orderly closedown signal is effective; then determining apparatus does not have cancel closedown; continue to perform monitoring equipment service data, service data is stored and the step (i.e. step 310) in data black box according to the mode of first in first out.
Step 350, when judging that described unit exception is shut down, the service data in data black box to be transferred in volatile data base.
Wherein, the implementation procedure of step 350 is identical with the step 130 in above-described embodiment one, and details, see above-described embodiment one, do not repeat them here.
In embodiments of the present invention, judgment device shuts down signal for effectively and equipment orderly closedown signal is invalid, then judge that described equipment is as cancel closedown, and then the step of performing a data-transfer operation.Compared with prior art, the embodiment of the present invention can automatic decision equipment whether cancel closedown, and preserves service data when unit exception is shut down, for consequent malfunction analysis, convenient and swift.
In embodiments of the present invention, described trigger parameter can also comprise equipment tach signal.Wherein, equipment tach signal comes from communication or cable connects, and is provided, when this rotating speed becomes the end in equipment minimum speed from higher than equipment minimum speed by other system; can be judged as that rotating machinery produces once to shut down, equipment tach signal is become effectively from invalid.
Now, judge that the step (i.e. above-mentioned steps 120) of described equipment whether cancel closedown specifically comprises according to described trigger parameter:
Whether whether judgment device tach signal be invalid lower than equipment minimum speed and equipment orderly closedown signal, if equipment tach signal for lower than equipment minimum speed and equipment orderly closedown signal is invalid, then judges that described equipment is as cancel closedown.Wherein, equipment orderly closedown signal is invalidly show equipment disorderly closedown.
If equipment tach signal is be effective higher than equipment minimum speed or equipment orderly closedown signal; then determining apparatus does not have cancel closedown; continue to perform monitoring equipment service data, service data is stored and the step in data black box according to the mode of first in first out.
In embodiments of the present invention, described trigger parameter can also involving vibrations alerting signal.Wherein, this signal comes from rotary-machine state monitoring system or control system, and this signal becomes effectively from invalid, and indication equipment is in abnormal operational conditions; The monitoring of this signal is judged can not have tach signal at equipment, when namely rotating speed is zero, receives vibration alarming signal, and then capture cancel closedown signal.
Now, judge that the step (i.e. above-mentioned steps 120) of described equipment whether cancel closedown specifically comprises according to described trigger parameter:
Whether whether judgment device tach signal be effective lower than equipment minimum speed and vibration alarming signal, if equipment tach signal is lower than equipment minimum speed and vibration alarming signal is effective, then judges that described equipment is as cancel closedown.Wherein, vibration alarming signal is for effectively to show equipment generation abnormal vibrations.
If equipment tach signal is for being invalid higher than equipment minimum speed or vibration alarming signal, then determining apparatus does not have cancel closedown, continues to perform monitoring equipment service data, service data is stored and the step in data black box according to the mode of first in first out.
In embodiments of the present invention, described trigger parameter can also comprise User Defined signal.Wherein, User Defined signal is provided by other system, invalidly becomes effectively, represents generation cancel closedown.
Now, judge that the step (i.e. above-mentioned steps 120) of described equipment whether cancel closedown specifically comprises according to described trigger parameter:
Judge whether described User Defined signal is effective, if described User Defined signal is effectively, then judge that described equipment is as cancel closedown.If User Defined invalidating signal, then determining apparatus does not have cancel closedown, continues to perform monitoring equipment service data, service data is stored and the step in data black box according to the mode of first in first out.
The unit exception monitoring shutdown method that the embodiment of the present invention provides, when specifically using, comprises rotating machinery cancel closedown monitoring method and cancel closedown date storage method.Cancel closedown monitoring method comprises storage trigger parameter, storage control signal, and the trigger parameter of storage comprises equipment orderly closedown signal, equipment shuts down signal, equipment tach signal, vibration alarming signal, User Defined signal etc.
Cancel closedown date storage method comprises equipment operating data, data black box, volatile data base, persistent database, manual control signal.Wherein, equipment operating data is stored in the data black box of first in first out; Store trigger parameter and the equipment operational factor relevant with cancel closedown is set, when cancel closedown condition triggers, produce storage control signal, by data batchmove in data black box in volatile data base; Artificial participation produces manual control signal, by data batchmove in volatile data base in persistent database.
Wherein, each functions of modules is as follows:
A), equipment operating data: comprise but be not limited only to vibration data, the operation process amount data of rotating machinery.These data come from rotary-machine state monitoring system, can be that communication or the mode reading rotating machinery condition monitoring system database obtain data;
B), data black box: adopt first in first out (FIFO) mode to store, its memory length and recording density can be arranged.
C), storage control signal: storage control signal once become effectively from invalid, automatically by data batchmove in data black box in volatile data base.Data after also continuing storage control signal to produce also exist in volatile data base in the lump, deposit as a cancel closedown data record.Data length after storage control signal produces and recording density also can be arranged.
D), volatile data base: the memory length of volatile data base can be arranged, and when volatile data base is filled with, adopts the mode of first in first out, stores the up-to-date data come from data black box.
E), equipment orderly closedown signal: this signal comes from communication or cable connects, and provided by other system, this signal effectively represents that rotating machinery is orderly closedown;
F), equipment downtime CRANK PULSES: this signal comes from communication or cable connects, and is provided by other system, and this signal becomes effectively from invalid, represents that rotating machinery produces and once shuts down;
G), equipment tach signal: this signal comes from communication or cable connects, thered is provided by other system, when this rotating speed becomes the end in equipment minimum speed from higher than equipment minimum speed, can be judged as that rotating machinery produces and once shut down, equipment tach signal is become effectively from invalid;
H), vibration alarming signal: this signal comes from rotary-machine state monitoring system or control system, and this signal becomes effectively from invalid, and indication equipment is in abnormal operational conditions; The monitoring of this signal is judged, when equipment does not have tach signal rotating speed to be zero, also can capture cancel closedown signal;
I), User Defined signal: such signal is provided by other system, invalidly becomes effectively, represents to produce and once shuts down.
As shown in Figure 4, be produce storage control signal, rotating machinery cancel closedown monitoring method meets one of following four conditions, step 408, namely produces storage control signal:
A), step 401, the equipment signal that shuts down becomes effectively from invalid, step 402 but equipment orderly closedown signal (6) is invalid;
B), step 403, equipment tach signal be changed to lower than equipment minimum speed by higher than equipment minimum speed, S404 but equipment orderly closedown invalidating signal;
C), step 405, vibration alarming signal become effectively from invalid, and step 406 and equipment tach signal are lower than the equipment minimum speed arranged;
D), step 407, User Defined signal become effectively from invalid;
Equipment operating data comprises but is not limited only to the vibration data of rotating machinery, operation process amount data.The memory length of data black box and recording density can be arranged.Storage control signal once produce, automatically by data batchmove in data black box in volatile data base.Data after also continuing storage control signal to produce also exist in volatile data base in the lump, deposit as a cancel closedown data record.Data length after storage control signal produces and recording density also can be arranged.
The embodiment of the present invention can produce manual control signal, by data batchmove in volatile data base in persistent database in artificial participation situation; The memory length of volatile data base can be arranged, and when ephemeral data is filled with, adopts the mode of first in first out, stores the up-to-date data come from data black box.
Compared with prior art, the embodiment of the present invention has following technique effect:
1, when equipment downtime, can automatic decision be that failure exception is shut down or orderly closedown, failure exception be shut down and is then adopted black box to store in a database, the data before shutdown for subsequent analysis; During orderly closedown, data do not store.
2, the signal when access is not enough, within this time, participates in being judged as that failure exception is shut down, the data in volatile data base can be stored in persistent database, prevent too much junk data if artificial, ensure only to store useful data.
3, applied widely; the cancel closedown monitoring that the present invention can be widely used in the large rotating machinery equipment of the industries such as oil, petrochemical industry, generating, metallurgy stores with data; a kind of means of simple and fast are provided, search after greatly shortening hang-up, time of analyzing failure cause.
Should be understood that; these are only the preferred embodiments of the present invention; can not therefore limit the scope of the claims of the present invention; every utilize instructions of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (7)
1. a unit exception monitoring shutdown method, is characterized in that, comprising:
Monitoring equipment service data, is stored in data black box by described service data according to the mode of first in first out;
Receive trigger parameter, described trigger parameter comprises equipment and to shut down signal and equipment orderly closedown signal; Described equipment whether cancel closedown is judged according to described trigger parameter, whether the judgment device signal that shuts down is effective and whether equipment orderly closedown signal is invalid, if equipment shuts down, signal is for effectively and equipment orderly closedown signal is invalid, then judge that described equipment is as cancel closedown;
When judging that described unit exception is shut down, generating storage control signal, according to described storage control signal, the service data in data black box being transferred in volatile data base.
2. unit exception monitoring shutdown method according to claim 1, is characterized in that, described trigger parameter comprises equipment tach signal and equipment orderly closedown signal;
Describedly judge that the step of described equipment whether cancel closedown specifically comprises according to trigger parameter:
Whether whether judgment device tach signal be invalid lower than equipment minimum speed and equipment orderly closedown signal;
If equipment tach signal is lower than equipment minimum speed and equipment orderly closedown signal is invalid, then judge that described equipment is as cancel closedown.
3. unit exception monitoring shutdown method according to claim 1, is characterized in that, described trigger parameter comprises equipment tach signal and vibration alarming signal;
Describedly judge that the step of described equipment whether cancel closedown specifically comprises according to trigger parameter:
Whether whether judgment device tach signal be effective lower than equipment minimum speed and vibration alarming signal;
If equipment tach signal is lower than equipment minimum speed and vibration alarming signal is effective, then judge that described equipment is as cancel closedown.
4. unit exception monitoring shutdown method according to claim 1, it is characterized in that, described trigger parameter comprises User Defined signal;
Describedly judge that the step of described equipment whether cancel closedown specifically comprises according to trigger parameter:
Judge whether described User Defined signal is effective;
If described User Defined signal is effectively, then judge that described equipment is as cancel closedown.
5. the unit exception monitoring shutdown method according to any one of claim 1-4, is characterized in that,
Described equipment operating data comprises vibration data, the operation process amount data of equipment.
6. the unit exception monitoring shutdown method according to any one of claim 1-4, it is characterized in that, described method also comprises:
Receive manual control signal, according to described manual control signal by data batchmove in volatile data base in persistent database.
7. the unit exception monitoring shutdown method according to any one of claim 1-4, it is characterized in that, described method also comprises:
The service data monitored after generation storage control signal is stored in volatile data base.
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| CN104251913B (en) * | 2014-09-12 | 2018-07-27 | 深圳沈鼓测控技术有限公司 | Rotating machinery monitors system start and stop intelligent determination method |
| CN108509507A (en) * | 2018-02-11 | 2018-09-07 | 北京原点时空信息技术有限公司 | The account management system and its implementation of unified entrance |
| CN112131210A (en) * | 2020-09-16 | 2020-12-25 | 珠海格力电器股份有限公司 | Data identification method, device, server and storage medium |
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| KR101322434B1 (en) * | 2005-07-11 | 2013-10-28 | 브룩스 오토메이션 인코퍼레이티드 | Intelligent condition-monitoring and fault diagnostic system |
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