CN105653879B - Comprehensive noise filtering method for coal mine underground safety monitoring data - Google Patents
Comprehensive noise filtering method for coal mine underground safety monitoring data Download PDFInfo
- Publication number
- CN105653879B CN105653879B CN201610076040.3A CN201610076040A CN105653879B CN 105653879 B CN105653879 B CN 105653879B CN 201610076040 A CN201610076040 A CN 201610076040A CN 105653879 B CN105653879 B CN 105653879B
- Authority
- CN
- China
- Prior art keywords
- data
- transducer
- gas density
- gas
- blower fan
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 28
- 239000003245 coal Substances 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000001914 filtration Methods 0.000 title abstract description 4
- 238000012360 testing method Methods 0.000 claims abstract description 13
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 12
- 230000015572 biosynthetic process Effects 0.000 claims description 9
- 238000003786 synthesis reaction Methods 0.000 claims description 9
- 230000003993 interaction Effects 0.000 claims description 8
- 230000002776 aggregation Effects 0.000 claims description 5
- 238000004220 aggregation Methods 0.000 claims description 5
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
The invention discloses a comprehensive noise filtering method for safety monitoring data in a coal mine, which comprises the following steps of 1) acquiring calibration or power-off test data; step 2), determining the linkage relation among a gas concentration sensor, an air speed sensor, a fan start-stop sensor and a power supply start-stop sensor of the underground working surface; when the fan normally operates until the gas concentration detected by the gas concentration sensor is lower than 1%, the associated data in a period of five minutes is invalid data; the correlation data in a period of five minutes after the power on-off sensor stops until the gas concentration detected by the gas concentration sensor is lower than 1% is invalid data; and 3) removing the calibration or power-off test data in the step 1) and the invalid data in the step 2), obtaining effective monitoring data, and finishing comprehensive data noise filtering. The invention utilizes the characteristics of gas monitoring data and the linkage of the associated sensors to automatically filter invalid data such as sensor adjustment, power-off test, fan start-stop, power supply start-stop and the like, thereby effectively identifying the gas monitoring data.
Description
Technical field
The present invention relates to coal mine downhole safety field, and in particular to a kind of coal mine downhole safety monitoring data synthesis filter side of making an uproar
Method.
Background technology
Current effective examination work of the coal industry to downhole monitoring data is also in very original stage, only part
Irrational data (rational gas density data are 0%-100%) have been carried out certain examination with filtering out by producer, to prison
The utilization of control data is substantially absent from help, also have impact on the research of following coal mine gas big data.These conjunctions of 0%-100%
Substantial amounts of invalid data still be present within the gas density data of reason, it is necessary to effectively be filtered to it using special method
Remove, be always that utilization of the monitoring data during coal production lays the foundation.
The content of the invention
In consideration of it, the present invention provides a kind of coal mine underground monitoring aggregation of data filter method for de-noising.
The purpose of the present invention realizes that coal mine downhole safety monitoring data integrates the filter side of making an uproar by such technical scheme
Method, comprise the following steps：
Step 1), obtain adjustment or power cut-off test data；
Step 2), determine that working face in the pit gas concentration sensor, air velocity transducer, blower fan on-off transducer, power supply are opened
The interaction relation of stop sensor；Wherein, when blower fan runs well to the gas density that gas concentration sensor detects less than 1%
The associated data during five minutes is invalid data afterwards；Power supply on-off transducer stops to watt that gas concentration sensor detects
It is invalid data that this concentration, which is less than the associated data during five minutes after 1%,；
Step 3), removal step 1) in adjustment or the invalid data in power cut-off test data and step 2), obtain effective
Monitoring data, complete aggregation of data filter and make an uproar.
Further, the acquisition methods of the adjustment or power cut-off test data include following sub-step：
Step 11) obtains gas density, wind speed, blower fan start-stop, the power supply start-stop data of underground safety monitoring；
Step 12) determines whether gas density data belong to [x1,x2]；
Step 13) determines whether the duration of gas density data in step 12) belongs to [t1,t2]；
Step 14) determines whether gas density data raising and lowering speed belongs to [v in step 13)1,v2]；
Step 15) meets step 12), 13), 14), that is, determines own [x out of this period1,x2] in data be adjustment
Or power cut-off test data.
Further, the determination working face in the pit gas concentration sensor, air velocity transducer, blower fan on-off transducer, electricity
The interaction relation of source on-off transducer specifically includes following steps：
Step 21) determines gas concentration sensor, air velocity transducer in blower fan on-off transducer institute coverage；
Step 22) determine blower fan on-off transducer in power supply on-off transducer institute coverage, gas concentration sensor,
Air velocity transducer；
Step 23) according to step 21), step 22), determine working face in the pit gas concentration sensor, air velocity transducer, wind
The interaction relation of machine on-off transducer, power supply on-off transducer.
Further, in step 12), whether the gas density data belong to [x1,x2], it is specially：
x-x1≥0 (1)
x-x2≤0
X --- real-time gas density data, %；
x1--- sentence knowledge and start lower limit, %, generally 0.6%~2%；
x2--- sentence knowledge and start higher limit, %, generally 1%~2.5%.
Further, in step 13), whether the duration of the gas density data belongs to [t1,t2], it is specially：
tmax-tmin-t1≥0 (2)
tmax-tmin-t2≤0
tmax--- gas data belong to [x1,x2] maximum time；s；
tmin--- gas data belong to [x1,x2] minimum time；s；
t1--- sentence knowledge and start lower limit, s；
t2--- sentence knowledge and start higher limit, %.
Further, in step 14), the gas density data rise or fall that speed is no to belong to [v1,v2], it is specially：
xi,max-xi+1,min≥v1
xj+1,max-xj,min≤v2 (3)
xi,max--- the maximum of i-th minute gas density；%；
xi+1,min--- the minimum value of i+1 minute gas density；%；
xj,min--- the minimum value of jth minute gas density；%；
xj+1,max--- the maximum of+1 minute gas density of jth；%；
v1--- rise or fall lower velocity limit value, %/min；
v2--- rise or fall speed limit value, %/min.
Further, the face gas concentration sensor, air velocity transducer, blower fan on-off transducer, power supply start-stop pass
The interaction relation of sensor；
xi--- it is associated with Fi,1I-th minute gas density detected of firedamp sensor, %；
xi-1--- it is associated with Fi,1The gas density that detects for the i-th -1 minute of firedamp sensor, %；
vi--- it is associated with Fi,1I-th minute wind speed detected of air velocity transducer, %；
vi-1--- it is associated with Fi,1The wind speed that detects for the i-th -1 minute of air velocity transducer, %；
Fi,1--- it is associated with Di,1I-th minute state of blower fan on-off transducer, 0,1；
Di,1--- i-th minute state of power supply on-off transducer, 0,1.
Further, when blower fan run well to gas concentration sensor the gas density that detects be less than 1% after five minutes
The associated data of period is invalid data；Specially：
Fi,1=0 → 1 --- blower fan on-off transducer state is changed into 1 from 0, i.e., is changed into opening from stopping；
Di,1=0 → 1 --- power supply on-off transducer state is changed into 1 from 0, i.e., is changed into opening from stopping.
By adopting the above-described technical solution, the present invention has the advantage that：
The present invention filters out sensor adjustment, power-off automatically using the linkage of the feature, associated sensor of gas-monitoring data
The invalid data such as experiment, blower fan start-stop, power supply start-stop, it is effective to identify gas-monitoring data.
Brief description of the drawings
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made below in conjunction with accompanying drawing into
The detailed description of one step, wherein：
Fig. 1 is the theory diagram of the present invention.
Embodiment
Below with reference to accompanying drawing, the preferred embodiments of the present invention are described in detail；It should be appreciated that preferred embodiment
Only for the explanation present invention, the protection domain being not intended to be limiting of the invention.
A kind of coal mine underground monitoring aggregation of data filters method for de-noising, comprises the following steps：
The gas of step 1) acquisition underground safety monitoring, wind speed, blower fan start-stop, power supply start-stop data；
Step 2) determines whether gas data belong to [x1,x2]；
Step 3) determines that gas data belong to [x1,x2] whether the duration belong to [t1,t2]；
Step 4) determines whether gas data raising and lowering speed belongs to [v1,v2]；
Step 5) meets step 2,3,4, that is, determines that (gas density belongs to [x from the period1,x2] duration) in
All [x1,x2] in data be adjustment or power cut-off test data；
Step 6) determines gas, air velocity transducer in blower fan on-off transducer institute coverage；
Step 7) determines blower fan start-stop, gas, air velocity transducer in power supply on-off transducer institute coverage；
Step 8) according to step 6,7 determine working face in the pit gas, wind speed, blower fan start-stop, power supply on-off transducer connection
Dynamic relation；
Step 9) blower fan sensor, which stops to blower fan and run well to firedamp sensor concentration, to be less than after 1% during five minutes
Associated data be invalid data；
Step 10) power sensor stops to the associated data that firedamp sensor concentration is less than after 1% during five minutes
Invalid data；
It is effective monitoring data after the data of step 11) removing step 5,9,10, completes aggregation of data filter and make an uproar.
In step 2), whether the gas data belong to [x1,x2] scope, it is specially：
x-x1≥0 (1)
x-x2≤0
X --- real-time gas-monitoring data, %；
x1--- sentence knowledge and start lower limit, %, generally 0.6%~2%；
x2--- sentence knowledge and start higher limit, %, generally 1%~2.5%；
In step 3), the gas density data belong to [x1,x2] whether the duration belong to [t1,t2], it is specially：
tmax-tmin-t1≥0 (2)
tmax-tmin-t2≤0
tmax--- gas density data belong to [x1,x2] maximum time；s；
tmin--- gas density data belong to [x1,x2] minimum time；s；
t1--- sentence knowledge and start lower limit, generally s, 0s；
t2--- sentence knowledge and start higher limit, generally %, 300s；
In step 4), the gas density data rise or fall that speed is no to belong to [v in 1 minute1,v2], it is specially：
xi,max-xi+1,min≥v1
xj+1,max-xj,min≤v2 (3)
xi,max--- the maximum of i-th minute gas density；%；
xi+1,min--- the minimum value of i+1 minute gas density；%；
Xj,min--- the minimum value of i-th minute gas density；%；
Xj+1,max--- the maximum of i+1 minute gas density；%；
v1--- rise or fall lower velocity limit value, generally %/min, 0.6%/min；
v2--- rise or fall speed limit value, generally %/min, 2.5%/min；
Step 5) meets step 2,3,4, that is, determines own [x out of this period1,x2] in data be adjustment or power-off
Test data.
In step 6), firedamp sensor, air velocity transducer in blower fan on-off transducer institute coverage are determined；Step 7)
Determine blower fan on-off transducer in power supply on-off transducer institute coverage, firedamp sensor, air velocity transducer；According to step
6) linkage of working face in the pit firedamp sensor, air velocity transducer, blower fan on-off transducer, power supply on-off transducer, 7) is determined
Relation；It is low that run well to the firedamp sensor gas density that detects of blower fan is stopped to according to step 9) blower fan on-off transducer
Associated data after 1% during five minutes is invalid data；Specially：
xi--- it is associated with Fi,1I-th minute gas density detected of firedamp sensor, %；
xi-1--- it is associated with Fi,1The gas density that detects for the i-th -1 minute of firedamp sensor, %；
vi--- it is associated with Fi,1I-th minute wind speed detected of air velocity transducer, %；
vi-1--- it is associated with Fi,1The wind speed that detects for the i-th -1 minute of air velocity transducer, %；
Fi,1--- it is associated with Di,1I-th minute state of blower fan on-off transducer, 0,1；
Di,1--- i-th minute state of power supply on-off transducer, 0,1；
Fi,1=0 → 1 --- blower fan on-off transducer state is changed into 1 from 0, i.e., is changed into opening from stopping；
Di,1=0 → 1 --- power supply on-off transducer state is changed into 1 from 0, i.e., is changed into opening from stopping.
Step 11) meets step 6), 7), 8), that is, it is invalid data to determine all data out of this period.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, it is clear that those skilled in the art
Member can carry out various changes and modification without departing from the spirit and scope of the present invention to the present invention.So, if the present invention
These modifications and variations belong within the scope of the claims in the present invention and its equivalent technologies, then the present invention is also intended to include these
Including change and modification.
Claims (7)
1. coal mine downhole safety monitoring data synthesis filter method for de-noising, it is characterised in that：Comprise the following steps：
Step 1）, obtain adjustment or power cut-off test data；
Step 2）, determine working face in the pit gas concentration sensor, air velocity transducer, blower fan on-off transducer, power supply start-stop pass
The interaction relation of sensor；Wherein, when blower fan run well to gas concentration sensor the gas density that detects be less than 1% after five
Associated data during minute is invalid data；It is dense that power supply on-off transducer stops to the gas that gas concentration sensor detects
It is invalid data that degree, which is less than the associated data during five minutes after 1%,；
Step 3）, removal step 1）In adjustment or power cut-off test data and step 2）In invalid data, obtain effective monitoring
Data, complete aggregation of data filter and make an uproar；
The acquisition methods of the adjustment or power cut-off test data include following sub-step：
Step 11）Obtain gas density, wind speed, blower fan start-stop, the power supply start-stop data of underground safety monitoring；
Step 12）Determine whether gas density data belong to [x 1,x 2]；
Step 13）Determine step 12）The duration of middle gas density data whether belong to [t 1,t 2]；
Step 14）Determine step 13）Middle gas density data raising and lowering speed whether belong to [v 1, v 2]；
Step 15）Meet step 12）、13）、14）, that is, determine out of gas density data duration own [x 1,x 2] in
Data are adjustment or power cut-off test data.
2. coal mine downhole safety monitoring data synthesis filter method for de-noising according to claim 1, it is characterised in that：The determination
Working face in the pit gas concentration sensor, air velocity transducer, blower fan on-off transducer, the interaction relation tool of power supply on-off transducer
Body comprises the following steps：
Step 21）Determine gas concentration sensor, the air velocity transducer in blower fan on-off transducer institute coverage；
Step 22）Determine blower fan on-off transducer in power supply on-off transducer institute coverage, gas concentration sensor, wind speed
Sensor；
Step 23）According to step 21）, step 22）, determine that working face in the pit gas concentration sensor, air velocity transducer, blower fan are opened
The interaction relation of stop sensor, power supply on-off transducer.
3. coal mine downhole safety monitoring data synthesis filter method for de-noising according to claim 1, it is characterised in that：Step 12）
In, the gas density data whether belong to [x 1,x 2], it is specially：
（1）
--- real-time gas density data, %；
--- sentence knowledge and start lower limit, %, value is 0.6% ~ 2%；
--- sentence knowledge and start higher limit, %, value is 1% ~ 2.5%.
4. coal mine downhole safety monitoring data synthesis filter method for de-noising according to claim 1, it is characterised in that：Step 13）
In, duration of the gas density data whether belong to [t 1,t 2], it is specially：
（2）
--- gas density data belong to [x 1,x 2] maximum time；s；
--- gas density data belong to [x 1,x 2] minimum time；s；
--- sentence knowledge and start lower limit, s；
--- sentence knowledge and start higher limit, %.
5. coal mine downhole safety monitoring data synthesis filter method for de-noising according to claim 1, it is characterised in that：Step 14）
In, the gas density data rise or fall speed it is no belong to [v 1, v 2], it is specially：
（3）
--- theiThe gas density data maximums of minute；%；
--- theiThe gas density data minimum value of+1 minute；%；
--- thejThe gas density data minimum value of minute；%；
--- thejThe gas density data maximums of+1 minute；%；
--- gas density data rise or fall lower velocity limit value, %/min；
--- gas density data rise or fall speed limit value, %/min.
6. coal mine downhole safety monitoring data synthesis filter method for de-noising according to claim 1, it is characterised in that：The work
Face gas concentration sensor, air velocity transducer, blower fan on-off transducer, the interaction relation of power supply on-off transducer；
（4）
--- it is associated withI-th minute gas density detected of firedamp sensor, %；
--- it is associated withThe gas density that detects for the i-th -1 minute of firedamp sensor, %；
--- it is associated withI-th minute wind speed detected of air velocity transducer, %；
--- it is associated withThe wind speed that detects for the i-th -1 minute of air velocity transducer, %；
--- it is associated withI-th minute state of blower fan on-off transducer, value 0,1；
--- i-th minute state of power supply on-off transducer, value 0,1.
7. coal mine downhole safety monitoring data synthesis filter method for de-noising according to claim 6, it is characterised in that：When blower fan just
The associated data that the gas density that often operating to gas concentration sensor detects is less than after 1% during five minutes is invalid data；
Specially：（5）
--- blower fan on-off transducer state is changed into 1 from 0, i.e., is changed into opening from stopping；
--- power supply on-off transducer state is changed into 1 from 0, i.e., is changed into opening from stopping.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610076040.3A CN105653879B (en) | 2016-02-03 | 2016-02-03 | Comprehensive noise filtering method for coal mine underground safety monitoring data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610076040.3A CN105653879B (en) | 2016-02-03 | 2016-02-03 | Comprehensive noise filtering method for coal mine underground safety monitoring data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105653879A CN105653879A (en) | 2016-06-08 |
| CN105653879B true CN105653879B (en) | 2018-03-30 |
Family
ID=56488299
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610076040.3A Active CN105653879B (en) | 2016-02-03 | 2016-02-03 | Comprehensive noise filtering method for coal mine underground safety monitoring data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105653879B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114166273A (en) * | 2021-11-22 | 2022-03-11 | 天地（常州）自动化股份有限公司 | Mining multi-parameter sensor and monitoring method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201908689U (en) * | 2010-10-26 | 2011-07-27 | 北京鑫源九鼎科技有限公司 | Linkage warning system for mine gas accident |
| CN102608286A (en) * | 2012-03-01 | 2012-07-25 | 煤炭科学研究总院 | Method for monitoring abnormality of gas monitored value of coal mine in real time |
| CN103244188A (en) * | 2013-05-14 | 2013-08-14 | 太原科技大学 | Coal mine underground integrated monitoring and controlling system based on internet of things technology |
| CN103485826A (en) * | 2013-10-15 | 2014-01-01 | 中煤科工集团重庆研究院有限公司 | Coal and Gas Outburst Accident Alarm Method |
| CN105259329A (en) * | 2015-10-13 | 2016-01-20 | 中煤科工集团重庆研究院有限公司 | On-line identification method for adjustment and calibration of gas sensor of coal mine safety monitoring system |
-
2016
- 2016-02-03 CN CN201610076040.3A patent/CN105653879B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201908689U (en) * | 2010-10-26 | 2011-07-27 | 北京鑫源九鼎科技有限公司 | Linkage warning system for mine gas accident |
| CN102608286A (en) * | 2012-03-01 | 2012-07-25 | 煤炭科学研究总院 | Method for monitoring abnormality of gas monitored value of coal mine in real time |
| CN103244188A (en) * | 2013-05-14 | 2013-08-14 | 太原科技大学 | Coal mine underground integrated monitoring and controlling system based on internet of things technology |
| CN103485826A (en) * | 2013-10-15 | 2014-01-01 | 中煤科工集团重庆研究院有限公司 | Coal and Gas Outburst Accident Alarm Method |
| CN105259329A (en) * | 2015-10-13 | 2016-01-20 | 中煤科工集团重庆研究院有限公司 | On-line identification method for adjustment and calibration of gas sensor of coal mine safety monitoring system |
Non-Patent Citations (3)
| Title |
|---|
| 基于GIS的煤与瓦斯动态突出预警系统设计与实现;孙建政;《中国优秀硕士学位论文全文数据库工程科技I辑》;20141015;第2014年卷(第10期);正文第3.1.1节、第4.1节及第4.2节 * |
| 煤矿安全监控系统与"一通三防"关联的预警联动;李志等;《工矿自动化》;20100430(第4期);第71-72页 * |
| 矿井工作面瓦斯涌出动态特征突出预警系统的设计与实现;孙建政等;《西南大学学报（自然科学版）》;20141231;第36卷(第12期);第201-206页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105653879A (en) | 2016-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| MXPA05007093A (en) | Method and system for averting or mitigating undesirable drilling events. | |
| CN105798931B (en) | Intelligent robot awakening method and device | |
| IL194430A (en) | Audio gain control using specific-loudness-based auditory event detection | |
| CN105333567B (en) | Haze fresh air system and its control method are removed based on electrostatic precipitation filter | |
| DE50203511D1 (en) | DEVICE AND METHOD FOR EMBEDDING A WATERMARK INTO A AUDIO SIGNAL | |
| CN105653879B (en) | Comprehensive noise filtering method for coal mine underground safety monitoring data | |
| CN206818669U (en) | Dangerous matter sources gas monitoring system | |
| CN107084502A (en) | House fresh air malleation safeguards system based on Internet of Things | |
| CN207090997U (en) | A kind of oxygen system of plateau sleep oxygen tent | |
| WO2018121392A1 (en) | Washing machine control method and washing machine | |
| CN108114541A (en) | Aseptic operating room filter | |
| CN102610248A (en) | Method and device for reducing electric power consumption | |
| CN106167252B (en) | Helium concentration purification system | |
| CN103128661B (en) | A kind of online anti-collision monitoring device of centerless internal grinder | |
| CN103350092A (en) | Laboratory exhaust treatment system | |
| CN104606753A (en) | Voice-controlled breathing machine and automatic starting and stopping method thereof | |
| CN207065822U (en) | A kind of toilet ventilation system | |
| CN107754492A (en) | A kind of pressure differential detection method and device for Zhi Sha buildings pulse bag type dust collector | |
| CN205925250U (en) | Bag collector's dust exhausting fan intelligent control device | |
| CN206604357U (en) | A kind of denitrating catalyst calcine technology exhaust gas processing device | |
| CN203048344U (en) | Smoking prevention device for elevator | |
| CN106871192A (en) | A kind of lampblack absorber and monitoring method for monitoring kitchen odor | |
| CN104146788A (en) | Intelligent negative pressure control aspirator applied to dental department | |
| CN206934946U (en) | Deduster energy-saving anti-blocking differential pressure control system | |
| CN207294599U (en) | The cleaning control device and cleaning system that glass line cutting machine is applicable in |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |