CN205139651U - Automatic fire control blind controller system's of oil depot failure diagnosis device - Google Patents
Automatic fire control blind controller system's of oil depot failure diagnosis device Download PDFInfo
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- CN205139651U CN205139651U CN201520559476.9U CN201520559476U CN205139651U CN 205139651 U CN205139651 U CN 205139651U CN 201520559476 U CN201520559476 U CN 201520559476U CN 205139651 U CN205139651 U CN 205139651U
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- 238000003745 diagnosis Methods 0.000 title abstract description 8
- 230000008859 change Effects 0.000 claims abstract description 18
- 238000010606 normalization Methods 0.000 claims description 11
- 238000013480 data collection Methods 0.000 claims description 7
- 210000002569 neuron Anatomy 0.000 claims description 4
- 230000003862 health status Effects 0.000 abstract description 11
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 20
- 230000008569 process Effects 0.000 description 18
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000011156 evaluation Methods 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000003208 petroleum Substances 0.000 description 2
- 241000931705 Cicada Species 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
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Abstract
The utility model discloses an automatic fire control blind controller system's of oil depot failure diagnosis device solves among the prior art the untimely technical problem of understanding to the automatic fire control blind controller system's of oil depot health status. Blind controller and every on -the -spot instrument connecting, the failure diagnosis device includes: instrument data acquisition device, credibility computation processor, attention device, every on -the -spot instrument is connected to the data acquisition input of instrument data acquisition device, and the data acquisition output of instrument data acquisition device is connected to credibility computation processor's first input end, and credibility computation processor's second input is connected with blind controller's feedback data output, and credibility computation processor's credibility grade output is connected with the attention device. So as to in time discovers the health status of on -the -spot instrument, makes the diagnosis to the trouble of on -the -spot instrument in advance, provides the suggestion of maintenance change for instrument maintainer.
Description
Technical field
The utility model relates to production scene safety technique, particularly relates to a kind of trouble-shooter of poL storage automation fire-fighting blind controller system.
Background technology
Production scene instrument is the vitals during the on-the-spot fire-fighting of Petroleum Production controls, and to the safe important in inhibiting at Petroleum Production scene, therefore, production scene instrument, once break down, will bring very large potential safety hazard.
Traditional instrument fault finds that the state that Main Basis instrument had lost efficacy judges, must affect production like this; The instrument maintenance that diagnosis is in addition mainly regular and demarcation, different instrument is according to the different time between overhauls(TBO)s, patrol and examine, like this patrol and examine shortage continuity, often the cycle is all in the several months, declining for accidental numerical bias and stability all can not Timeliness coverage, causes to the understanding of the health status of poL storage automation fire-fighting blind controller system not in time, still can bring potential safety hazard to a certain degree to produced on-site.
Utility model content
The utility model embodiment, by providing a kind of trouble-shooter of poL storage automation fire-fighting blind controller system, solves the understanding technical matters not in time of prior art to the health status of poL storage automation fire-fighting blind controller system.
The utility model embodiment provides a kind of trouble-shooter of poL storage automation fire-fighting blind controller system, described poL storage automation fire-fighting blind controller system comprises instrument controller and at least one field instrument, described instrument controller is connected with each described field instrument, described trouble-shooter comprises: instrumented data harvester, confidence level computation processor, attention device; The data acquisition input end of described instrumented data harvester connects each described field instrument, the data collection output of described instrumented data harvester is connected to the first input end of described confidence level computation processor, second input end of described confidence level computation processor is connected with the feedback data output terminal of described instrument controller, and the confidence level output terminal of described confidence level computation processor is connected with described attention device.
Preferably, described confidence level output terminal is also connected with described instrument controller.
Preferably, described confidence level computation processor comprises: normalization unit, and the neuron models arithmetic element be connected with described normalization unit.
Preferably, described instrumented data harvester comprises: upper lower limit value Acquisition Circuit, rate of change Acquisition Circuit, maximum hop value Acquisition Circuit; Adjacent instrument maximum difference Acquisition Circuit; Wherein, described upper lower limit value Acquisition Circuit, described rate of change Acquisition Circuit, described maximum hop value Acquisition Circuit, described adjacent instrument maximum difference Acquisition Circuit are all connected with described data acquisition input end; Wherein, described upper lower limit value Acquisition Circuit, described rate of change Acquisition Circuit, described maximum hop value Acquisition Circuit, described adjacent instrument maximum difference Acquisition Circuit are also all connected with described data collection output.
The one or more technical schemes provided in the utility model embodiment, at least have following technique effect or advantage:
By the trouble-shooter in the utility model, can according to gather the instrument process value of each field instrument and instrument controller feedback wrong report number, instrument controller feedback the confidence level judged of last time, the probability that anticipation each production scene instrument breaks down, provide current credibility grade, can every day the reliability to each field instrument in system make evaluation, thus solve the understanding technical matters not in time to the health status of poL storage automation fire-fighting blind controller system in prior art.Can the health status of Timeliness coverage field instrument, in advance diagnosis is made to the fault of field instrument, for instrument maintainer provides the suggestion of maintain and replace.
Further, confidence level is lowered by computing, confidence level is shown on attention device or reports to the police according to confidence level, further increasing the safety of produced on-site.
Accompanying drawing explanation
In order to be illustrated more clearly in the utility model embodiment or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiment of the present utility model, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
Fig. 1 is the structural representation of the trouble-shooter of poL storage automation fire-fighting blind controller system in the utility model embodiment.
Embodiment
In order to solve the understanding technical matters not in time of prior art to the health status of poL storage automation fire-fighting blind controller system, the utility model embodiment is by providing a kind of trouble-shooter of poL storage automation fire-fighting blind controller system, and general thought is as follows:
Instrumented data harvester is set, confidence level computation processor and attention device.The data acquisition input end of instrumented data harvester connects each field instrument, the data collection output of instrumented data harvester is connected to the first input end of confidence level computation processor, second input end of confidence level computation processor is connected with the feedback data output terminal of instrument controller, and the confidence level output terminal of confidence level computation processor is connected with attention device.
By the trouble-shooter of above-mentioned connection, can according to gather the instrument process value of each field instrument and instrument controller feedback wrong report number, instrument controller feedback the confidence level judged of last time, the probability that anticipation each production scene instrument breaks down, provide current credibility grade, can every day the reliability to each field instrument in system make evaluation, thus solve the understanding technical matters not in time to the health status of poL storage automation fire-fighting blind controller system in prior art.Can the health status of Timeliness coverage field instrument, in advance diagnosis is made to the fault of field instrument, for instrument maintainer provides the suggestion of maintain and replace.
For making the object of the utility model embodiment, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the utility model embodiment, technical scheme in the utility model embodiment is clearly and completely described, obviously, described embodiment is the utility model part embodiment, instead of whole embodiments.Based on the embodiment in the utility model, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the utility model protection.
Shown in figure 1, the trouble-shooter of a kind of poL storage automation fire-fighting blind controller system that the utility model provides comprises: instrumented data harvester 1, confidence level computation processor 2, attention device 3; PoL storage automation fire-fighting blind controller system comprises at least one field instrument 4 and instrument controller 5.
The data acquisition input end of instrumented data harvester 1 connects each field instrument 4, the data collection output B of instrumented data harvester 1 is connected to the first input end C of confidence level computation processor 2, second input end D of confidence level computation processor 2 is connected with the feedback data output terminal E of instrument controller 5, and the confidence level output terminal F of confidence level computation processor 2 is connected with attention device 3.Confidence level output terminal F is also connected with the input end J of instrument controller 5.
In specific implementation process, as shown in Figure 1, instrumented data harvester 1 comprises multiple data acquisition input end A
1, A
2..。。。。。a
n, each field instrument 4 of poL storage automation fire-fighting blind controller system is by a data Gather and input end (A
1, A
2..。。。。。a
nin one) be connected to instrumented data harvester 1.
Below the course of work of the trouble-shooter of a kind of poL storage automation fire-fighting blind controller system that the utility model provides is described:
Step 1: field instrument 4 is by the data acquisition input end (A of instrumented data harvester 1
1, A
2..。。。。。a
nin one) be connected to instrumented data harvester 1, instrumented data harvester 1 carries out data acquisition to each field instrument 4, concrete, at least comprises the following two kinds mode.
Embodiment one: the data that instrumented data harvester 1 gathers comprise: maximum hop value, rate of change, maximal value, minimum value in the instrument process value of each field instrument 4.The data that instrumented data harvester 1 gathers also comprise: the maximum instrument process value difference between adjacent two field instruments 4.
Concrete, instrumented data harvester 1 comprises: upper lower limit value Acquisition Circuit, rate of change Acquisition Circuit, maximum hop value Acquisition Circuit; Adjacent instrument maximum difference Acquisition Circuit; Wherein, upper lower limit value Acquisition Circuit, rate of change Acquisition Circuit, maximum hop value Acquisition Circuit, adjacent instrument maximum difference Acquisition Circuit all with corresponding data acquisition input end (A
1, A
2..。。。。。a
nin one) connect; Wherein, upper lower limit value Acquisition Circuit, rate of change Acquisition Circuit, maximum hop value Acquisition Circuit, adjacent instrument maximum difference Acquisition Circuit are also all connected with data collection output B.Upper lower limit value Acquisition Circuit directly collects maximal value in the instrument process value of each field instrument 4, minimum value is supplied to confidence level computation processor 2.The rate of change that rate of change Acquisition Circuit directly collects the instrument process value of each field instrument 4 is supplied to confidence level computation processor 2, the maximum hop value that maximum hop value Acquisition Circuit directly collects in the instrument process value of each field instrument 4 is supplied to confidence level computation processor 2, and the maximum difference between the instrument process value that adjacent instrument maximum difference Acquisition Circuit directly collects adjacent two field instruments 4 is supplied to confidence level computation processor 2.
Embodiment two: instrumented data harvester 1 is a real-time data record device, the process value of each field instrument 4 of real time record, and the process value of each field instrument 4 of real time record is supplied to confidence level computation processor 2, confidence level computation processor 2 calculates maximum hop value, rate of change, maximal value, the minimum value of the instrument process value of each field instrument 4, and the maximum instrument process value difference between adjacent two field instruments 4.
Step 2: confidence level computation processor 2 judges whether the maximum hop value of the instrument process value of each field instrument 4 exceedes saltus step limit value, obtains the first judged result; Confidence level computation processor 2 judges whether the rate of change of the instrument process value of each field instrument 4 exceedes speed limit value, obtains the second judged result; Confidence level computation processor 2 judges whether the maximal value of the instrument process value of each field instrument 4 exceedes higher limit, obtains the 3rd judged result; Confidence level computation processor 2 judges whether the minimum value of the instrument process value of each field instrument 4 exceedes lower limit, obtains the 4th judged result.
Step 3: the first judged result, the second judged result, the 3rd judged result, the 4th judged result are carried out normalization by the normalization unit of confidence level computation processor 2, obtain the first normalizing result.
Step 4: obtain the wrong report number of instrument controller 5 feedback and last confidence level.Preferably, normalization unit also carries out normalization to the wrong report number that instrument controller 5 feeds back.
Step 5: the wrong report number that the first normalizing result, instrument controller 5 also feed back by normalization unit, instrument controller 5 feed back the combination of last confidence level and carry out normalization, obtain the second normalizing result.
Step 6: normalization unit connects neuron models arithmetic element, the second normalizing result is carried out computing by neuron models arithmetic element, obtains the current credibility grade of each field instrument 4;
Step 7: this confidence level is supplied to attention device 3, shows this confidence level by attention device 3 or reports to the police, and warning.
By the trouble-shooter in above-mentioned the utility model, can according to gather the instrument process value of each field instrument and instrument controller feedback wrong report number, instrument controller feedback the confidence level judged of last time, the probability that anticipation each production scene instrument breaks down, provide current credibility grade, can every day the reliability to each field instrument in system make evaluation, thus solve the understanding technical matters not in time to the health status of poL storage automation fire-fighting blind controller system in prior art.Can the health status of Timeliness coverage field instrument, in advance diagnosis is made to the fault of field instrument, for instrument maintainer provides the suggestion of maintain and replace.
Further, confidence level is lowered by computing, confidence level is shown on attention device or reports to the police according to confidence level, further increasing the safety of produced on-site.
Although described preferred embodiment of the present utility model, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the utility model scope.
Obviously, those skilled in the art can carry out various change and modification to the utility model and not depart from spirit and scope of the present utility model.Like this, if these amendments of the present utility model and modification belong within the scope of the utility model claim and equivalent technologies thereof, then the utility model is also intended to comprise these change and modification.
Claims (4)
1. the trouble-shooter of a poL storage automation fire-fighting blind controller system, described poL storage automation fire-fighting blind controller system comprises instrument controller and at least one field instrument, described instrument controller is connected with each described field instrument, it is characterized in that, described trouble-shooter comprises: instrumented data harvester, confidence level computation processor, attention device;
The data acquisition input end of described instrumented data harvester connects each described field instrument, the data collection output of described instrumented data harvester is connected to the first input end of described confidence level computation processor, second input end of described confidence level computation processor is connected with the feedback data output terminal of described instrument controller, and the confidence level output terminal of described confidence level computation processor is connected with described attention device.
2. the trouble-shooter of poL storage automation fire-fighting blind controller system as claimed in claim 1, it is characterized in that, described confidence level output terminal is also connected with described instrument controller.
3. the trouble-shooter of poL storage automation fire-fighting blind controller system as claimed in claim 2, it is characterized in that, described confidence level computation processor comprises: normalization unit, and the neuron models arithmetic element be connected with described normalization unit.
4. the trouble-shooter of poL storage automation fire-fighting blind controller system as claimed in claim 3, it is characterized in that, described instrumented data harvester comprises: upper lower limit value Acquisition Circuit, rate of change Acquisition Circuit, maximum hop value Acquisition Circuit; Adjacent instrument maximum difference Acquisition Circuit;
Wherein, described upper lower limit value Acquisition Circuit, described rate of change Acquisition Circuit, described maximum hop value Acquisition Circuit, described adjacent instrument maximum difference Acquisition Circuit equal data Gather and input end connect;
Wherein, described upper lower limit value Acquisition Circuit, described rate of change Acquisition Circuit, described maximum hop value Acquisition Circuit, described adjacent instrument maximum difference Acquisition Circuit are also all connected with described data collection output.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520559476.9U CN205139651U (en) | 2015-07-29 | 2015-07-29 | Automatic fire control blind controller system's of oil depot failure diagnosis device |
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| CN201520559476.9U CN205139651U (en) | 2015-07-29 | 2015-07-29 | Automatic fire control blind controller system's of oil depot failure diagnosis device |
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| CN205139651U true CN205139651U (en) | 2016-04-06 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110347580A (en) * | 2019-04-28 | 2019-10-18 | 北京航空航天大学 | A method of building non-embedded software reliability test process model |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110347580A (en) * | 2019-04-28 | 2019-10-18 | 北京航空航天大学 | A method of building non-embedded software reliability test process model |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170214 Address after: 100007 Dongcheng District, Dongzhimen, China, North Street, No. 9 Oil Mansion, No. Patentee after: China National Petroleum Corp. Patentee after: China Petroleum Pipeline Engineering Co.,Ltd. Patentee after: HEBEI TECHNICAL College OF PETROLEUM PROFESSION Address before: 100007 Beijing, Dongzhimen, North Street, No. 9, No. Patentee before: China National Petroleum Corp. Patentee before: CHINA PETROLEUM PIPELINE BUREAU Patentee before: HEBEI TECHNICAL College OF PETROLEUM PROFESSION |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160406 |