CN108661715B - The evaluation method of mine supervision system Gas early warning result - Google Patents
The evaluation method of mine supervision system Gas early warning result Download PDFInfo
- Publication number
- CN108661715B CN108661715B CN201810343550.1A CN201810343550A CN108661715B CN 108661715 B CN108661715 B CN 108661715B CN 201810343550 A CN201810343550 A CN 201810343550A CN 108661715 B CN108661715 B CN 108661715B
- Authority
- CN
- China
- Prior art keywords
- early warning
- gas
- analysis
- false alarm
- discrimination
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 230000008859 change Effects 0.000 claims description 6
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 abstract description 31
- 238000012544 monitoring process Methods 0.000 abstract description 21
- 238000000034 method Methods 0.000 abstract description 16
- 230000008569 process Effects 0.000 abstract description 10
- 239000003245 coal Substances 0.000 description 12
- 230000002159 abnormal effect Effects 0.000 description 10
- 238000007726 management method Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 3
- 230000007774 longterm Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003034 coal gas Substances 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
Landscapes
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The present invention relates to a kind of evaluation methods of mine supervision system Gas early warning result, it is that collected gas data, air quantity are passed through into analytical calculation, it is reported by mistake before being transfinited according to the result judgement gas density of analysis either with or without progress early warning identification and early warning, including the analysis of Gas early warning discrimination and the analysis of Gas early warning rate of false alarm.The method that the evaluation method of the mine supervision system Gas early warning result utilizes Gas early warning discrimination and rate of false alarm overall merit Gas early warning, give the analysis process of methane prediction discrimination and rate of false alarm, each period gas-monitoring data can once be analyzed, it can analyze in real time, early warning working face outburst hazard, and its accuracy and automatization level are high, easily use on site.
Description
Technical field:
The present invention relates to technical field of mine safety more particularly to a kind of mine supervision system Gas early warning results
Evaluation method.
Background technique:
Coal mine safety monitoring system is used to monitor the various environmental parameters and equipment state of mine monitoring point concern, finds ring
It alarmed when border or unit exception, power off control and lock between air and electricity control, while safety monitoring system data are also coal mine peace
The significant data source of full technology analysis.With the pay attention to day by day that country works to Safety of Coal Mine Production, the fining section of coal mine
It learns management to be tried out and promoted in many coal mining enterprises, fine-grained management just be unable to do without the support and support of precise information.
In terms of coal mine safety monitoring system data application, national Administration of Work Safety Supervision is in " coal mine safety monitoring system upgrading within 2016
Technical solution " Article 9 reinforce data analysis in clearly propose, monitoring system should have the analysis and application of big data
The prediction and warning of function, Gas is included into wherein.In terms of methane prediction, standard clearly proposes that system should have gas and gush
Output prediction and warning function mainly predicts gas emission according to data such as fire damp, wind speed, and carries out prediction and warning.But
Be the methane prediction based on safety monitoring system this solve the problems, such as those levels, how this judges for the result of early warning, does not have but
Specific standard.
Summary of the invention:
The purpose of the present invention is in view of the drawbacks of the prior art, provide one kind can using Gas early warning discrimination and
The evaluation method of rate of false alarm overall merit mine supervision system Gas early warning result.
The present invention is achieved through the following technical solutions: a kind of judge of mine supervision system Gas early warning result
Method is that have collected gas data, air quantity before transfiniting according to the result judgement gas density of analysis by analytical calculation
Early warning identification and early warning wrong report, including the analysis of Gas early warning discrimination and Gas early warning rate of false alarm point are not carried out
Analysis；
The analysis of Gas early warning discrimination includes the following steps:
Step 1: whether being greater than critical value according to this period of the data judging gas density being collected into；
Step 2: being then determined as not early warning if it is less than critical value, return step one is determined next time；If big
In critical value, then the early warning situation of a upper period was counted, if system issued early warning, then it is assumed that this early warning is known
It is incorrect；
Step 3: the discrimination of this early warning identification is obtained by calculation, judge whether reach judgment criteria；
The analysis of Gas early warning rate of false alarm includes the following steps:
Step 1: according to Gas early warning discrimination analysis this period of data judging whether early warning；
Step 2: if being determined as that this early warning wrong report does not occur, return step one carries out next time without early warning
Determine；If there is early warning, then whether critical value is greater than according to this period of data judging gas density；
Step 3: be then determined as that, there is no early warning wrong report, return step one is sentenced if it is greater than critical value next time
It is fixed；If it is less than critical value, then the absolute and relative variation of gas density is compared；
Step 4: being determined as if the absolute and relative variation of gas density is more than set safe variable quantity
There is not early warning wrong report, return step one is determined next time；If the absolute and relative variation of gas density is less than
Set safe variable quantity, then be determined as early warning wrong report occur；
Step 5: this early warning rate of false alarm is obtained by calculation, judge whether reach judgment criteria.
In a preferred embodiment of the present invention, the critical value of gas density is %1, this is impassable under various conditions
Gas administration " red line ".
In a preferred embodiment of the present invention, the period of each early warning identification and early warning wrong report is 5-30min.
Preferably, every time early warning identification and early warning wrong report period be preferably 5min or 10min or 15min or
20min or 30min.
In order to guarantee judge accuracy rate, Gas early warning discrimination analysis in, judgment criteria be discrimination must not be lower than
90%, in the analysis of Gas early warning rate of false alarm, the safe variable quantity of gas density is that gas density absolute change amount is no more than
0.3, relative value variable quantity is no more than 100%, and in the analysis of Gas early warning rate of false alarm, judgment criteria is not greater than for rate of false alarm
10%.
The beneficial effects of the present invention are: the evaluation method of the mine supervision system Gas early warning result is gushed using gas
The method of early warning discrimination and rate of false alarm overall merit Gas early warning out gives methane prediction discrimination and rate of false alarm
Analysis process can once analyze gas-monitoring data each period, can analyze in real time, early warning working face protrudes
Risk, and its accuracy and automatization level are high, easily use on site.
Detailed description of the invention:
Fig. 1 is the flow chart of Gas early warning discrimination of the present invention analysis；
Fig. 2 is the flow chart of Gas early warning rate of false alarm of the present invention analysis.
Specific embodiment:
The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawing, so that advantages and features of the invention energy
It is easier to be understood by those skilled in the art, so as to make a clearer definition of the protection scope of the present invention.
It is mutual to substantially belong to following two for gas monitor data analysis and early warning involved in coal mine safety monitoring system at present
Associated application category, two aspect of Gas prediction and warning and Gas Outburst early warning.It is pre- that present invention is generally directed to Gas
Survey warning aspect.
In terms of Gas prediction and warning, gas exceeding limit accumulation early warning is that monitoring system is easier the content completed,
On the basis of this, comprehensive pre-warning is carried out in conjunction with a period of time gas Strata Behavior and belongs to monitoring system Predicting Gas early warning analysis
Level, purpose are mainly reflected in real-time online early warning and longer period of time gas Strata Behavior mutation analysis.Gas safety monitoring
Basic function be to pass through the gas safety situation of the on-line analysis scientific evaluation mine to monitoring data and provide pre-
It is alert, become the Important Platform of mine routine safety management with this.Meanwhile based on the depth to the mass data expansion acquired in real time
Analysis, additionally it is possible to comprehensive analysis be unfolded for the variation of mine gas Strata Behavior day by day, month by month, can quantitatively disclose gas and show
The medium-term and long-term variation characteristic of rule serves mine gas safety management planning.
The present invention provides a kind of evaluation method of mine supervision system Gas early warning result, is by collected gas
Data, air quantity by analytical calculation, before being transfinited according to the result judgement gas density of analysis either with or without carry out early warning identification and
Early warning wrong report, including the analysis of Gas early warning discrimination and the analysis of Gas early warning rate of false alarm.
The analysis of Gas early warning discrimination:
The exception that early warning accurately identifies the exception determined in terms of rate refers to security legislation and statistical law displays, peace
Full rules and regulations gas administration " red line " impassable under various conditions, " 1% " are wherein mostly important one
Legal red line.In addition statistical analysis can effectively disclose the essential characteristic of gas monitor data fluctuations variation, on this basis may be used
Clearly to determine the gas normal fluctuation range of each specific point position, and then accurate recognition abnormal data and issue pre-
It is alert.So method summary is before transfiniting either with or without progress early warning identification in terms of to Predicting Gas early warning rate judgement.
For concrete operations process as shown in Figure 1, Cn is gas density in figure, K, N, L are respectively constant.Firstly, according to collection
To the gas density of data judging this K (or this period L) whether be greater than critical value 1%；If it is less than critical value 1%,
Then it is determined as not early warning, comes back for n+1 judgement next time；If it is greater than critical value 1%, then to last N (or upper time
Section L) early warning situation counted, if system issued early warning, then it is assumed that this early warning identification is correct；Pass through formulas solutions
The discrimination of this early warning identification is calculated in rate=N/K*100%, judges whether reach judgment criteria.It needs especially specific
Be time span representated by L be it is adjustable, the present invention chooses 5min as sending early warning and checks the time, in conjunction with coal production
Deployment and process suggest that early warning must not exceed 30min in principle, 5,10,15,20 and may be selected depending on early warning desirability and precision
30min is as pre-warning time.The present invention proposes that alarm discrimination must not be the judgment criteria of discrimination lower than 90%.Surpassing every time
Carrying out early warning before limiting within 30min is the necessary condition to monitoring system methane prediction accurate evaluation, but obvious necessity is not filled
Point.Transfiniting every time has early warning, it is also necessary to reduce false alarm.
The analysis of Gas early warning rate of false alarm:
Statistical analysis can effectively disclose the essential characteristic of gas monitor data fluctuations variation, on this basis can be clear
Ground determines the gas normal fluctuation range of each specific point position, and then accurate recognition abnormal data and issues early warning.Tracking
The gas monitor data of analysis 30 days in the past it is found that the reflection of most data be mine normal production environment situation, by
This defines " normal " fluctuation range of the measuring point monitoring data, as monitor value exceeds the increasing of the range distance, at this
Gas shows and increasingly deviates the rule that its long-term performance comes out, thus is considered as "abnormal" to a certain degree occurred.
Here it is the roadmaps and principle of " normal " of statistic concept and "abnormal".It is noted that the daily gas of certain measuring points is dense
Degree is very low, when there is slightly higher gas monitor value, although occurring a degree of "abnormal" really from statistic concept,
It is still unnecessarily to issue early warning because its absolute value is little.I other words taking into account the absolute magnitude and gas fluctuating change situation pair of gas
Warning index makes necessary tradeoff, is one of an important factor for methane prediction must be taken into consideration
The present invention is defined as follows the false alarm in prealarming process: the false alarm during methane prediction is different from monitoring
The false alarm of system, it refers under statistical law to a kind of situation of dynamic gas emission condition error early warning.Since monitoring is
Methane prediction alarm caused by the pseudo- data in system data " emitting big number " etc. errors of transmission scene be not included in the false alarm of early warning with
It is interior.The exception in statistics rule of the various Gas forms of working face belongs to the false alarm of methane prediction system, wherein
Exception that exception, goaf gas including coal breakage Gas are gushed out, coal gas are gushed out abnormal etc..To due to producing
The variation of Gas behavioral characteristics caused by Cheng Bianhua carries out the false alarm that alarm is not belonging to methane prediction system.
On the basis of the above analysis, the alarm condition that the present invention defines includes following two: the first is still watt
This safety " red line " concentration value 1%；Second situation belongs to the gas abnormal alarm within 1%, gas density absolute change amount
Increase 0.3 or more or relative value increase by 100%.In addition to this, false alarm scope is belonged to, it should also be noted that this
It invents 0.3 and 100% provided and belongs to a recommended parameter, field application need to combine practical gas bearing situation appropriate adjustment.
The detailed process that rate of false alarm calculates is illustrated in fig. 2 shown below, and Cn is gas density in figure, and K, N, L are respectively constant.First
According to data judging this K (or this period L) of Gas early warning discrimination analysis whether early warning；If without early warning,
Then it is determined as that this early warning wrong report does not occur, comes back for n+1 judgement next time；If there is early warning, then sentenced according to data
Whether this fixed K (or this period L) gas density Cn is greater than critical value 1%；If it is greater than critical value 1%, then it is determined as not having
There is prediction occurring wrong report, comes back for n+1 judgement next time；If it is less than critical value 1%, then to the absolute and phase of gas density
Variable quantity is compared；If absolute change amount of the gas density of this period L compared to upper period L-1 is more than 0.3,
Relative value variable quantity is more than 100%, then is determined as early warning wrong report do not occur, comes back for n+1 judgement next time；If this when
Between section L gas density compared to upper period L-1 absolute change amount be no more than 0.3, relative value variable quantity is no more than
100%, then it is determined as early warning wrong report occur；This early warning rate of false alarm is calculated by formula rate of false alarm=N/K*100%,
It judges and whether reaches judgment criteria, false alarm rate proposed by the invention is not greater than 10% as the judge mark of early warning rate of false alarm
It is quasi-.The present invention chooses 5min as what whether sending was abnormal and checks the time, in conjunction with coal production deployment and process, in principle
It is recommended that abnormal lag must not exceed 30min, 5,10,15,20 and 30min may be selected as gas depending on early warning desirability and precision
Abnormal lag checks the time.As can be seen that the verifying of rate of false alarm can not real-time perfoming, be able to validate only before the L period
Rate of false alarm.
The present invention sets about the requirement in terms of methane prediction from coal mine safety monitoring system upgrading process, it is indicated that although
Standard clearly proposes that system should have a Forecast of Gas Emission warning function, but methane prediction those levels of solution are asked
Topic, how this judges for the result of early warning, all without explicitly stated, is asked based on this analysis for proposing the judge of methane prediction result
Topic.By analyzing methane prediction status and feature based on monitoring system, it is indicated that gas involved in safety monitoring system at present
Data analysis and early warning mainly includes two aspect of Gas prediction and warning and Gas Outburst early warning.It is commented in Gas early warning result
It appraises in analysis, proposes the method using Gas early warning discrimination and rate of false alarm overall merit Gas early warning, respectively
Give the analysis process of methane prediction discrimination and rate of false alarm.In the differentiation of Gas Outburst early warning, proposition is referred to using drilling cuttings
The thought judged prominent early warning result is marked, Gas Outburst early warning result is given and judges analysis process.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.
Claims (7)
1. a kind of evaluation method of mine supervision system Gas early warning result, which is characterized in that be by collected gas
Data, air quantity by analytical calculation, before being transfinited according to the result judgement gas density of analysis either with or without carry out early warning identification and
Early warning wrong report, including the analysis of Gas early warning discrimination and the analysis of Gas early warning rate of false alarm；
The analysis of Gas early warning discrimination includes the following steps:
Step 1: whether being greater than critical value according to this period of the data judging gas density being collected into；
Step 2: being then determined as not early warning if it is less than critical value, return step one is determined next time；If it is greater than facing
Dividing value then counted the early warning situation of a upper period, if system issued early warning, then it is assumed that this early warning identifies just
Really；
Step 3: the discrimination of this early warning identification is obtained by calculation, judge whether reach judgment criteria；
The analysis of Gas early warning rate of false alarm includes the following steps:
Step 1: according to Gas early warning discrimination analysis this period of data judging whether early warning；
Step 2: if be determined as that this early warning wrong report does not occur, return step one is sentenced without early warning next time
It is fixed；If there is early warning, then whether critical value is greater than according to this period of data judging gas density；
Step 3: be then determined as that, there is no early warning wrong report, return step one is determined if it is greater than critical value next time；
If it is less than critical value, then the absolute and relative variation of gas density is compared；
Step 4: being determined as not having if the absolute and relative variation of gas density is more than set safe variable quantity
There is early warning wrong report, return step one is determined next time；If the absolute and relative variation of gas density is less than set
Fixed safe variable quantity, then be determined as early warning wrong report occur；
Step 5: this early warning rate of false alarm is obtained by calculation, judge whether reach judgment criteria.
2. the evaluation method of mine supervision system Gas early warning result according to claim 1, which is characterized in that watt
The critical value of this concentration is 1%.
3. the evaluation method of mine supervision system Gas early warning result according to claim 1, which is characterized in that every
The period of secondary early warning identification and early warning wrong report is 5-30min.
4. the evaluation method of mine supervision system Gas early warning result according to claim 3, which is characterized in that every
The period of secondary early warning identification and early warning wrong report is 5min or 10min or 15min or 20min or 30min.
5. the evaluation method of mine supervision system Gas early warning result according to claim 1, which is characterized in that watt
This is gushed out in the analysis of early warning discrimination, and judgment criteria is that discrimination must not be lower than 90%.
6. the evaluation method of mine supervision system Gas early warning result according to claim 1, which is characterized in that watt
This is gushed out in the analysis of early warning rate of false alarm, and the safe variable quantity of gas density is that gas density absolute change amount is no more than 0.3, relatively
Variable quantity is no more than 100%.
7. the evaluation method of mine supervision system Gas early warning result according to claim 1, which is characterized in that watt
This is gushed out in the analysis of early warning rate of false alarm, and judgment criteria is that rate of false alarm is not greater than 10%.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810343550.1A CN108661715B (en) | 2018-04-17 | 2018-04-17 | The evaluation method of mine supervision system Gas early warning result |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810343550.1A CN108661715B (en) | 2018-04-17 | 2018-04-17 | The evaluation method of mine supervision system Gas early warning result |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108661715A CN108661715A (en) | 2018-10-16 |
| CN108661715B true CN108661715B (en) | 2019-10-15 |
Family
ID=63783559
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810343550.1A Active CN108661715B (en) | 2018-04-17 | 2018-04-17 | The evaluation method of mine supervision system Gas early warning result |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108661715B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709606B (en) * | 2020-05-20 | 2023-07-18 | 天地（常州）自动化股份有限公司 | Mining working face gas emission abnormal early warning method based on big data analysis |
| CN112096456B (en) * | 2020-09-25 | 2023-02-28 | 淄博瑞安特自控设备有限公司 | Gas false alarm identification method based on coal mine safety monitoring networking system |
| CN112282733A (en) * | 2020-10-29 | 2021-01-29 | 中煤科工集团重庆研究院有限公司 | Method for determining coal bed gas abnormity by gas emission quantity characteristic while drilling |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104794550B (en) * | 2015-05-13 | 2016-06-22 | 山东科技大学 | Forecast of Gas Emission method based on WT-KPCA-SVR coupling model |
| CN104881724A (en) * | 2015-06-19 | 2015-09-02 | 贵州省矿山安全科学研究院 | GIS-based dynamic prediction method for coal mine gas emission quantity |
| EP3187683A1 (en) * | 2015-12-30 | 2017-07-05 | Bomar S.A. w upadlosci ukladowej | A method for predicting crumps and methane hazard |
| CN105804739B (en) * | 2016-03-15 | 2019-04-05 | 神华集团有限责任公司 | Prediction method and prediction system for gas emission quantity |
| CN106503792B (en) * | 2016-10-25 | 2018-12-18 | 西安科技大学 | A kind of gas density prediction technique based on adaptation module neural network |
| CN106845447A (en) * | 2017-02-19 | 2017-06-13 | 辽宁工程技术大学 | A kind of face gas concentration prediction method for early warning |
| CN106894841B (en) * | 2017-04-28 | 2019-01-15 | 华北科技学院 | Gas Disaster method for early warning based on normal distribution-test identification gas effusion intensity |
| CN107122861B (en) * | 2017-04-28 | 2020-02-11 | 辽宁工程技术大学 | Gas emission quantity prediction method based on PCA-PSO-ELM |
| CN107503797B (en) * | 2017-08-25 | 2019-04-16 | 合肥明信软件技术有限公司 | Mine Methane tendency early warning system based on 3D emulation platform |
-
2018
- 2018-04-17 CN CN201810343550.1A patent/CN108661715B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108661715A (en) | 2018-10-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108661715B (en) | The evaluation method of mine supervision system Gas early warning result | |
| CN109779602B (en) | Intelligent safety risk early warning method and system for drilling engineering | |
| CN101550841B (en) | Coal and gas outburst hazard early warning system and early warning method | |
| CN105608842B (en) | A kind of damaged online monitoring alarm device of nuclear reactor fuel | |
| CN103942635A (en) | Coal-mine gas safety intelligent patrol system | |
| CN106227167A (en) | Early warning method for running state of oil and gas production equipment | |
| CN116664113A (en) | Intelligent safety supervision system for electric power metering standardized operation | |
| CN102563360A (en) | Vibration event detection method of pipeline safety early warning system based on sequential probability ratio detection | |
| CN103953393A (en) | Mine ventilation system partitioning stabilized dynamic monitoring and pre-warning system | |
| CN114580752B (en) | Engineering construction progress intelligent management system based on BIM technology | |
| CN109738014A (en) | The intelligent diagnosing method and system of city integrated piping lane equipment fault | |
| CN112859710A (en) | Mine geological safety online real-time monitoring and early warning cloud platform based on artificial intelligence and Internet of things | |
| CN104850933A (en) | Scheduling automation data checking system and method based on credible characteristic values | |
| WO2024012552A1 (en) | Graded early-warning method for safety production risks in tailings pond | |
| CN116384112A (en) | Method and system for mine disaster simulation and early warning | |
| CN109944637A (en) | Mine water disaster early warning system | |
| CN104088306A (en) | Wireless monitoring and early warning system for deep foundation pit comprehensive parameters | |
| CN203924149U (en) | The wireless monitor early warning system of deep foundation ditch comprehensive parameters | |
| CN103277137A (en) | Forecasting method for gas outburst of tunneling coal roadway | |
| CN103498701A (en) | Intelligent safety tour inspection method | |
| CN202339619U (en) | Gas distribution detection system | |
| CN116777085B (en) | Coal mine water damage prediction system based on data analysis and machine learning technology | |
| CN106246226A (en) | The recognition methods that a kind of Mine Gas Gushing is abnormal | |
| CN106855990A (en) | Nuclear power generating sets instrument channel measurement error Demonstration Method | |
| CN205540162U (en) | Gas storage well safety intelligent management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20210630 Address after: 701-705, 707-711, 701, floor 7, building 35, District 13, Heping Street, Chaoyang District, Beijing Patentee after: CHINA COAL TECHNOLOGY & ENGINEERING GROUP INTERNATIONAL ENGINEERING Co.,Ltd. Address before: 219 Huanghe West Road, Xinbei District, Changzhou City, Jiangsu Province Patentee before: TIANDI (CHANGZHOU) AUTOMATION Co.,Ltd. Patentee before: CHANGZHOU RESEARCH INSTITUTE OF CHINA COAL TECHNOLOGY & ENGINEERING Group Corp. |