CN105572758A - Diagnosis method and apparatus of beam tube blocking of mining fire monitoring system - Google Patents
Diagnosis method and apparatus of beam tube blocking of mining fire monitoring system Download PDFInfo
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- CN105572758A CN105572758A CN201511000513.3A CN201511000513A CN105572758A CN 105572758 A CN105572758 A CN 105572758A CN 201511000513 A CN201511000513 A CN 201511000513A CN 105572758 A CN105572758 A CN 105572758A
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Abstract
The invention relates to a diagnosis method and an apparatus of beam tube blocking of a mining fire monitoring system. The method includes: the flow of a beam tube is detected in real time; the flow of the beam tube detected in real time and a flow standard value are compared, and if the difference is greater than a set threshold, it is determined that the beam tube is blocked. According to the method, the occurrence of blocking can be determined in real time via the monitoring of the flow of the beam tube, and hidden risks are eliminated.
Description
Technical field
The present invention relates to a kind of diagnostic method and device of beam tube blocking of mining fire monitoring system.
Background technology
Mine fire is one of Major Natural Disasters in coal production, and Conflagration Caused by Coal Self-ignition is the principal mode of mine fire, account for 90% of mine fire sum, particularly China extensively adopts Longwall Top Coal Caving Method in recent years, exhaust technology is widelyd popularize in gas control, while production efficiency increases substantially and greatly reduces with gas emission, cause goaf leave over coal more, leak out serious, freely burning fire is taken place frequently.In recent years the coal-face more or less a hundred that China's State owned coal mine is closed because of fire every year, the annual coal amount of freezing caused because of closed workplace is all more than ten million ton.What closed workplace often made up to ten million unit comprehensively adopts, fully mechanized coal face is enclosed in flame range, and a large amount of coal freezes because of flame range, and rational development plan and mining sequence are broken, and brings huge economic loss and major accident hidden danger to mine.Mine fire has become one of principal element of restriction mine safety production and development.
Colliery scene fire extinguishing experience for many years shows, spontaneous combustion of coal is once form fire, and fire-fighting work not only needs to drop into a large amount of manpower and materials, and extinguishing effect is not good, and therefore the preventing and controlling of Conflagration Caused by Coal Self-ignition focus on prevention.In order to carry out the prevention work of coal, prediction accurately must be carried out to coal spontaneous combustion.The developing stage that the generating process of Conflagration Caused by Coal Self-ignition can be divided into slow oxidation stage, accelerated oxidation stage different with the vigorous oxidation stage three, different phase correspond to different gaseous product kinds and concentration.Use Tube Bundle Monitoring System, identifying generation and the development degree thereof of coal spontaneous combustion according to the existence of some gas componant of underground coal mine and concentration change feature thereof, is the most widely used method of current coal spontaneous combustion prediction.
The main flow Tube Bundle Monitoring System released in recent years is primarily of part compositions such as sampling system, gas analysis system, the information transmission system and monitoring host computers.Sampling system is mainly used in the gas sample gathering fire monitoring, the gas sample of analytic system to sampling system collection is analyzed, the information transmission system provides the passage of the information interchange between gas analysis system and monitoring host computer, and the data of monitoring host computer to analytic system analysis are stored, analyze, shown.Wherein sampling system comprises the devices such as the flowmeter of aspiration pump, beam tube and monitoring beam tube flow.Due to underground coal mine, there was dampness in the air and mine dust is more, and beam tube in use often blocks.Block for preventing beam tube, colliery scene has installed dust and moisture filter at beam tube air intake opening, but beam tube latch up phenomenon happens occasionally, have a strong impact on the normal use of Tube Bundle Monitoring System, therefore a kind of method diagnosing beam tube to block must be proposed, timely halved tie blockage situation makes diagnosis, for the maintenance work of Tube Bundle Monitoring System provides guidance.
Summary of the invention
The object of this invention is to provide a kind of diagnostic method and device of beam tube blocking of mining fire monitoring system, need halved tie blockage situation to carry out the problem of monitoring in order to solve prior art.
For achieving the above object, the solution of the present invention comprises:
A diagnostic method for the beam tube blocking of mining fire monitoring system, is characterized in that, comprising: detect beam tube flow in real time and obtain flow currency; Flow currency and flow standard value are compared, if difference is greater than setting threshold value, then judges that beam tube blocks.
Further, described flow standard value is the flow value detected the last period.
Further, described flow standard value is the setting value according to equipment solidification.
Further, according to the historical data of flow, the variation tendency of record data; If the flow value that the last period is detected meets described variation tendency, then the flow value detected this last period is as flow standard value.
Further, if do not meet described variation tendency, then choose and meet described variation tendency, the flow value of the period that distance current time is nearest is as standard value.
Further, described flow currency be by current time for the previous period in all flow values after filtering average algorithm obtain.
Further, historical data is obtained by recording real-time data.
Further, by the mode that flow currency and flow standard value compare be: the difference first asking for flow standard value and flow currency, then ask for the ratio of this difference and flow standard value, this ratio is beam tube damage factor; Then beam tube damage factor is compared with the coefficient threshold of setting.
Meanwhile, present invention also offers a kind of diagnostic device of beam tube blocking of mining fire monitoring system, it is characterized in that, comprising: for detecting the module of beam tube flow in real time; For the beam tube detected in real time flow and flow standard value being compared, if difference is greater than setting threshold value, then judge the module that beam tube blocks.
Further, according to the historical data of flow, the variation tendency of record data; If the flow value that the last period is detected meets described variation tendency, then the flow value detected this last period is as flow standard value.
Method of the present invention, the generation can blocked by monitoring beam tube flow real-time judge, gets rid of hidden danger.
The present invention, by the mode of self study, determines flow standard value, can reflect the impact of system normal aging, and it is more accurate to judge.
On the basis of self study, flow standard value is verified, thus prevent from blocking slowly generation and failing to judge of causing.
Accompanying drawing explanation
Fig. 1 is beam tube clogging detecting system schematic diagram;
Fig. 2 is beam tube jam detection process flow diagram.
Embodiment
Below in conjunction with accompanying drawing, the present invention will be further described in detail.
In existing beam tube system, increase gas-detecting device 1 about the system involved by beam tube choke detecting method to obtain, by the gas flow data in fire monitoring district by communication system, deliver to ground monitoring server system 5, as shown in Figure 1.About the content that concrete structure is not this patent discussion, and have nothing to do with this patent method, therefore be not specifically described at this.
How this patent analyzes the data on flows detected, to detect the generation of stopping state if relating generally to.
Embodiment 1
Ground monitoring server system 5 stores the flow monitoring data that nearest takes turns.Beam tube chocking-up degree diagnostic process, is shown in Fig. 2, comprises: a, calculated flow rate currency; B, calculated flow rate standard value; C, calculating beam tube damage factor; D, beam tube damage factor and beam tube clogging diagnoses critical value compared the chocking-up degree of diagnosis beam tube.
Calculated flow rate currency (or being called real-time traffic) obtains after the flow monitoring data of taking turns nearest carry out filtering average treatment.The such as nearest one flow monitoring data of taking turns are (2.1L/min, 2.2L/min, 2.3L/min, 2.4L/min, 2.5L/min, 2.6L/min, 2.7L/min, 2.8L/min, 2.9L/min), be 2.7L/min after filtering after average treatment, then flow currency is 2.7L/min.
The method of calculated flow rate standard value is: carry out after filtering average treatment as flow standard value the beam tube flow monitoring data of the two-wheeled before the nearest one flow monitoring data of taking turns.The flow monitoring data of such as, two-wheeled before the nearest one flow monitoring data of taking turns are respectively: (5.1L/min, 5.2L/min, 5.3L/min, 5.4L/min, 5.5L/min, 5.6L/min, 5.7L/min, 5.8L/min, 2.9L/min), (6.1L/min, 6.2L/min, 6.3L/min, 6.4L/min, 6.5L/min, 6.6L/min, 6.7L/min, 6.8L/min, 9.9L/min), be 5.95L/min through filtering average treatment, then flow standard value is 5.95L/min.
Calculate the difference that first namely beam tube damage factor ask for flow standard value and flow currency, then ask for the ratio of this difference and flow standard value, this ratio is beam tube damage factor.Such as flow currency is 2.7L/min, and when flow standard value is 5.95L/min, the difference of flow standard value and flow currency is 0.15L/min, and beam tube damage factor is 54.6%.Beam tube chocking-up degree diagnosis critical value refer to preset N number of be greater than 0 and the numerical value being less than 1 respectively as beam tube chocking-up degree diagnosis critical value 1, critical value 2 ..., critical value N-1, critical value N.Such as: preset 3 critical values, critical value 1 is 10%, and critical value 2 is 50%, and critical value 3 is 85%.
Described chocking-up degree beam tube damage factor and beam tube clogging diagnoses critical value being compared diagnosis beam tube, namely by beam tube damage factor 54.6% and 3 critical values: 10%, 50%, 85% compare and beam tube chocking-up degree be diagnosed as: Severe blockage occurs.
When beam tube chocking-up degree is diagnosed as " Severe blockage ", ground monitoring server system 5 is reported to the police: " beam tube generation Severe blockage, please carries out check processing at once ".
In the present embodiment, introduce damage factor to evaluate the difference between real-time traffic and flow standard value.As other embodiments, also can adopt other modes to evaluate, such as only poor, then compare extent.
The method of the present embodiment, the production process of flow standard value is a self study process, and flow standard value is constantly change, thus the normal flow that can be adapted to cause because of reasons such as ageing equipments in system changes.But if blocking is also slowly occur, so this self study process may just may be difficult to pinpoint the problems, and causes and fails to judge.
Embodiment 2
Differently from embodiment 1 be, in the present embodiment, flow standard value is setting in advance, and other steps are identical with embodiment 1.
The flow standard value of prior setting is changeless, is correspondingly arrange or demarcate with a system.It is more simple that this situation compares embodiment 1.And when stopping state slowly occurs, flow standard value also can not change.But this situation cannot self study, cannot reflect normal system aging, system longer rear poor effect service time.
Embodiment 3
3 flow standard values before this flow standard value calculates are respectively 5.76L/min, 5.75L/min, 5.74L/min, if this calculates the flow value obtained is 5.90L/min, then do not meet the variation tendency that standard value diminishes gradually, the flow value of the period that distance current time should be adopted nearest and 5.74L/min are as standard value.If this calculates the flow value obtained is 5.73L/min, then meet the variation tendency that standard value diminishes gradually, this flow value calculating acquisition and 5.73L/min should be adopted as standard value.
Differently from embodiment 1 to be, in the present embodiment, according to the historical data of flow, the variation tendency of record data; If the flow value that the last period is detected meets described variation tendency, then the flow value detected this last period is as flow standard value.If do not meet described variation tendency, then choose and meet described variation tendency, the flow value of the period that distance current time is nearest is as standard value.
Like this, be equivalent to the self study mode determination flow standard value still adopting embodiment 1, but turn increase a proof procedure simultaneously, namely verify that whether flow standard value is credible by the variation tendency of historical data.Meeting variation tendency, constantly reducing as shown flow standard value with historical data, and the current flow standard value obtained meets the slope that historical data reduces, then illustrate that the current flow standard value obtained is believable.If credible, then adopt, if insincere, then abandon, adopt record data last in historical data as standard value, or directly adopt the standard value set in advance in embodiment 2.
The diagnostic device embodiment of the beam tube blocking of mining fire monitoring system
The diagnostic device of the beam tube blocking of mining fire monitoring system comprises:
For detecting the module of beam tube flow in real time; And, for the beam tube detected in real time flow and flow standard value being compared, if difference is greater than setting threshold value, then judge the module that beam tube blocks.
Wherein, according to the historical data of flow, the variation tendency of record data; If the flow value that the last period is detected meets described variation tendency, then the flow value detected this last period is as flow standard value.
Above-mentioned module is the software module run in controller.
Be presented above the embodiment that the present invention relates to, but the present invention is not limited to described embodiment.Under the thinking that the present invention provides; the mode easily expected to those skilled in the art is adopted to convert the technological means in above-described embodiment, replace, revise; and the effect played goal of the invention that is substantially identical with the relevant art means in the present invention, that realize is also substantially identical; the technical scheme of such formation is carried out fine setting to above-described embodiment and is formed, and this technical scheme still falls within the scope of protection of the present invention.
Claims (10)
1. a diagnostic method for the beam tube blocking of mining fire monitoring system, is characterized in that, comprising: detect beam tube flow in real time and obtain flow currency; Flow currency and flow standard value are compared, if difference is greater than setting threshold value, then judges that beam tube blocks.
2. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to claim 1, is characterized in that, described flow standard value is the flow value detected the last period.
3. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to claim 1, is characterized in that, described flow standard value is the setting value according to equipment solidification.
4. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to claim 1, is characterized in that, according to the historical data of flow, and the variation tendency of record data; If the flow value that the last period is detected meets described variation tendency, then the flow value detected this last period is as flow standard value.
5. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to claim 4, is characterized in that, if do not meet described variation tendency, then choose and meet described variation tendency, and the flow value of the period that distance current time is nearest is as standard value.
6. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to any one of claim 1-5, it is characterized in that, described flow currency be by current time for the previous period in all flow values after filtering average algorithm obtain.
7. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to claim 4 or 5, is characterized in that, obtain historical data by recording real-time data.
8. the diagnostic method of the beam tube blocking of a kind of mining fire monitoring system according to any one of claim 1-5, it is characterized in that, by the mode that flow currency and flow standard value compare be: the difference first asking for flow standard value and flow currency, then ask for the ratio of this difference and flow standard value, this ratio is beam tube damage factor; Then beam tube damage factor is compared with the coefficient threshold of setting.
9. a diagnostic device for the beam tube blocking of mining fire monitoring system, is characterized in that, comprising: for detecting the module of beam tube flow in real time; For the beam tube detected in real time flow and flow standard value being compared, if difference is greater than setting threshold value, then judge the module that beam tube blocks.
10. a diagnostic device for the beam tube blocking of mining fire monitoring system, is characterized in that, according to the historical data of flow, and the variation tendency of record data; If the flow value that the last period is detected meets described variation tendency, then the flow value detected this last period is as flow standard value.
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| CN201511000513.3A CN105572758B (en) | 2015-12-28 | 2015-12-28 | The diagnostic method and device that a kind of beam tube of mining fire monitoring system blocks |
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| CN201653766U (en) * | 2010-04-30 | 2010-11-24 | 神华新疆能源有限责任公司 | Mine gas monitoring pre-pumping and sampling device |
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| CN103076055A (en) * | 2012-12-31 | 2013-05-01 | 江苏大学 | Method for evaluating clogging conditions of drip irrigation system |
| CN103643987A (en) * | 2013-11-26 | 2014-03-19 | 神华神东保德煤矿 | Gas collection, slag removal and drainage device for drill hole |
| CN203730057U (en) * | 2014-01-29 | 2014-07-23 | 安徽理工大学 | Extraction tube device for coal seam gas |
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2015
- 2015-12-28 CN CN201511000513.3A patent/CN105572758B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN201653766U (en) * | 2010-04-30 | 2010-11-24 | 神华新疆能源有限责任公司 | Mine gas monitoring pre-pumping and sampling device |
| CN102562156A (en) * | 2010-12-16 | 2012-07-11 | 河南理工大学 | Automatic concentration adjusting and controlling early warning method for underground gas extraction pipelines and system of automatic concentration adjusting and controlling early warning method |
| CN102182932A (en) * | 2011-02-28 | 2011-09-14 | 煤炭科学研究总院重庆研究院 | Method for detecting fault of coal bed methane collecting and delivering pipeline at coal mine region |
| CN103076055A (en) * | 2012-12-31 | 2013-05-01 | 江苏大学 | Method for evaluating clogging conditions of drip irrigation system |
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| CN203730057U (en) * | 2014-01-29 | 2014-07-23 | 安徽理工大学 | Extraction tube device for coal seam gas |
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