CN106777867A - A kind of mine fire risk factors Weight Determination - Google Patents
A kind of mine fire risk factors Weight Determination Download PDFInfo
- Publication number
- CN106777867A CN106777867A CN201611000988.7A CN201611000988A CN106777867A CN 106777867 A CN106777867 A CN 106777867A CN 201611000988 A CN201611000988 A CN 201611000988A CN 106777867 A CN106777867 A CN 106777867A
- Authority
- CN
- China
- Prior art keywords
- factor
- decision
- fire
- weight
- mine fire
- 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.)
- Pending
Links
Classifications
-
- 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
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of mine fire risk factors Weight Determination, it is characterized in that, to obtain relation between mine fire influence factor and fire occurrence risk, propose a kind of Weight Determination based on Skowron differential matrixs, the method can process the fuzzy data in expert info U, and with logical reasoning ability；The weight of influence mine fire risk factors can be updated according to the accumulation features of U；Condition element weight and sequence that the consistency problem of differential matrix is directly obtained under U can not be considered, mine fire appraisement system and standard is established, can be used for the determination of mine fire risk factors weight.
Description
Technical field
The present invention relates to mine safety engineering, more particularly to analyze mine fire risk factors weight and determine.
Background technology
Mine fire evaluation is there are problems that always in Mineral Engineering insoluble, and mine fire betides underground,
It is related to related possible factor more, larger difficulty is brought to monitoring and prediction, on the other hand, although mine fire is a large amount of
Research, but still difficulty is formed to specific mechanism problem and unified the understanding, experience is just particularly important in this case, professional technique
Personnel can carry out fire risk analysis according to the understanding and experience of itself to a certain specific mine, provide fire that they think etc.
Level, but more individual factor is so generally doped with, it is different that different experts cause the degree of fire to recognize for different factors, leads
The evaluation result that cause is given is different, and these differences are, in certain interval interior floating, problem not to be resulted in typically qualitative
The change of aspect, and the opinion that expert is given is more, then and universal significance has been got in the determination of final problem, so for Mine Fire
This kind of risk assessment problem of calamity should be noted that at 2 points, and one is to excavate each influence factor in limited expert info to be closed with result
System；Two is that can be updated to dynamically update these relations according to the variation of expert info.
The current research on the evaluation of mine fire occurrence risk and analysis mainly has:Du Zhenyu etc. is based on to open up goodness and grinding
Mine fire safe evaluation method is studied carefully；Sun Yong etc. have studied mine fire safe evaluation method based on BP neural network；Li Tong
Lock etc. is studied spontaneous combustion of coal hazard assessment using Method of Set Pair Analysis；Tan Yanchun etc. is commented using fuzzy synthesis
Valency have studied mine self caused fire evaluation method；Liu Zhiqiang is ground to goaf coal spontaneous combustion prediction index and its early warning value
Study carefully；Song ten thousand newly waits coal spontaneous combustion danger in high methane goaf is predicted under the conditions of three-dimensional extraction；Jin Yuping etc. is used
Spherical SVMs is predicted coal spontaneous combustion, but according to Such analysis, mine fire risk assessment needs one kind special
The analysis method excavated in family's information and updated with dynamic；Expert info is fuzzy, and the excavation of information needs Logical Deriving
Reason, therefore the studies above result does not possess such ability.
To solve the problem, a kind of Weight Determination based on Skowron differential matrixs is proposed, the method can be to mould
Paste data are processed, rational analysis, finally obtain each factor influence mine fire weight in expert info.
The content of the invention
1. a kind of mine fire risk factors Weight Determination, it is characterised in that to obtain mine fire influence factor
The relation between fire occurrence risk, proposes a kind of Weight Determination based on Skowron differential matrixs, and the method can be processed
Fuzzy data in expert info U, and with logical reasoning ability；Influence mine fire wind can be updated according to the accumulation features of U
The weight of dangerous factor；Condition element weight and sequence that the consistency problem of differential matrix is directly obtained under U can not be considered, set up
Mine fire appraisement system and standard, can be used for the determination of mine fire risk factors weights.
2. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that influence because
Plain Weight Determination,
Define 1：One decision system is S=(U, R, V), wherein：U represents that the finite nonempty set of object is closed, referred to as domain；R tables
Show the nonempty finite set of factor, including condition element and decision factor；V represents the codomain of factor in sets of factors R；
Define 2：P, Q are two equivalence relation families in domain U, whenIf IND (P)=IND (Q), and Q is independent
, then Q is exactly a yojan of P；
Define 3：For decision system S, if sets of factors S=C ∪ D, subset C={ x1, x2..., xnAnd D={ y } represent respectively
Condition element collection and decision factor collection, andThen the decision system is referred to as decision table.
3. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that
Wherein factor can about be subtracted based on Skowron differential matrixs, be simplified the relation of decision factor collection and condition element collection,
Skowron differential matrixs can also determine that the condition element in system S in the presence of different decision factors influences on decision factor
The importance of degree, step is as follows：
1) decision table of a certain problem is set up according to definition 1~3；
2) decision table is processed according to Skowron differential matrixs and sets up differential matrix；
3) by individual U in differential matrixiWith Uj, and i ≠ j, and when there is differentiating factor set C ≠ Φ, if the variance factor
Full terms factor weight in set C is identical and and be 1；
4) according to 3) institute to all units in method traversal difference matrix, by all factor weights in different units according to factor
Carry out classification cumulative；
5) all factor weights are normalized according to 4) accumulation result；
6) 5) gained normalization factor weight is ranked up, obtains the importance ranking and power for certain problem influence factor
Weight.
4. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that Mine Fire
Calamity Risk Assessment Index System includes：Human factor, machine factor, environmental factor, management factors；Human factor includes：Mine
Disposing capacity is coordinated by fire safety evaluating education, personnel's awareness of the importance of fire prevention, personnel's fire resistance property, functional department；Machine factor includes：Equipment
Ignition ability, equipment fire resistance property, fire detection system ability, fire extinguishing system ability；Environmental factor includes：Spontaneous combustion tendency,
Draught capacity, Mining technology condition, coal dust and gas management can be led；Management factors：Mine fire emergency preplan, disaster hidden-trouble inspection
Look into ability, disaster hidden-trouble elimination ability, fire managed fund supportability.
5. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that Mine Fire
Calamity decision in the face of risk table is by carrying out fraction zoning determination, condition element and decision factor and score value relation such as table 1 after expert estimation
Shown, decision factor score value takes the average value of respective conditions factor score value.
Define 1：One decision system is S=(U, R, V), wherein：U represents that the finite nonempty set of object is closed, referred to as domain；
R represents the nonempty finite set of factor, including condition element and decision factor；V represents the codomain of factor in sets of factors R.
Define 2：P, Q are two equivalence relation families in domain U, whenIf IND (P)=IND (Q), and Q is only
Vertical, then Q is exactly a yojan of P.
Define 3：For decision system S, if sets of factors S=C ∪ D, subset C={ x1, x2..., xnAnd D={ y } is respectively
Condition element collection and decision factor collection are represented, andThen the decision system is referred to as decision table.
Si Kelong (Skowron) teaches and a kind of method for representing knowledge, i.e. differential matrix was proposed in 1991, and it can be conveniently
The ground calculation knowledge system earth's core and yojan, if (U, R, V, are f) decision table to S=, and R=C ∪ D, C represent condition element collection, and D is represented
Decision factor collection,Differential matrix is a symmetrical matrix M of n × n(n×n)=(mij)：
Wherein, (x a) represents specific values of the data object x on condition element a to f.
As individual UiWith UjDecision factor value it is different, by the different condition element collection cooperation of i with j line numbers value in decision table
It is the differentiating factor of differential matrix same position, they belong to the relation of extracting；If as individuality UiWith UjDecision factor value it is different
When, the value of all conditions factor of i rows and j rows is all identical in decision table, then differentiating factor is empty setIn fact, now certainly
Plan table is Inconstant decision table, illustrates that the decision factor D of only part depends on condition element C, based on Skowron differential matrixs
Factor Algorithm for Reduction process be：Differential matrix is obtained according to the definition of Skowron differential matrixs first, then using in logistics
Extract, conjunction relation build discernment function, recycle logical operation abbreviation discernment function, finally give the minimum of discernment function
Disjunctive normal form.
Definition 1~3 can build the decision table for particular problem, and wherein factor can be entered based on Skowron differential matrixs
Row about subtracts, and simplifies the relation of decision factor collection and condition element collection, and Skowron differential matrixs can also be determined in system S not
With the condition element in the presence of decision factor to the importance of decision factor influence degree, step is as follows：
1) decision table of a certain problem is set up according to definition 1~3,
2) decision table is processed according to Skowron differential matrixs and sets up differential matrix,
3) by individual U in differential matrixiWith Uj, and i ≠ j, and when there is differentiating factor set C ≠ Φ, if the variance factor
Full terms factor weight in set C it is identical and and be 1,
4) according to 3) institute to all units in method traversal difference matrix, by all factor weights in different units according to factor
Carry out classification cumulative,
5) all factor weights are normalized according to 4) accumulation result,
6) 5) gained normalization factor weight is ranked up, obtains the importance ranking and power for certain problem influence factor
Weight.
Weight Determination based on Skowron differential matrixs is that one kind obtains decision set change influence by reasoning from logic
The method of set of factors weight change, the industrial and mining enterprises of factor in to(for) various evaluations or factor weight determine be FAQs it
One, generally determine that the weight of post-evaluation index is maintained in evaluation index and standard constant, in fact, weight refers under certain situation
Mark be it is spontaneous be adjusted, the evaluation procedure particularly based on people, factor evaluation fraction and final system that expert is given
Determine that grade has corresponding relation, then with the difference of expert's number, in the case of evaluation criterion is constant, factor evaluation fraction
It is that change, i.e. factor weight are changes with system-level corresponding relation, because different experts are recognized system-level
Knowledge degree is different, and the determination process of weight may be considered the cumulative process of expertise.
In addition, the decision table of Skowron differential matrixs there is also compatible and inconsistent problem, compatible situation is preferable
, condition element can about be subtracted with relatively simple, obtain single factor test set about subtracts result；Incompatible situation obtains list
The result that about subtracts of sets of factors is difficult, but also has certain methods, and the weight based on Skowron differential matrixs of proposition determines
Method is not influenceed by decision table compatibility, the range of application of expansible differential matrix.
2 mine fire influence factor index systems.
First have to set up appraisement system and standard for the evaluation of mine fire, evaluation side is then determined according to specific requirement
Method, but due to mine fire feature, it is considered to factor is excessive, and more by artificial determination, this security risk to mine fire
Evaluation bring larger uncertain factor, wherein influence mine fire factor importance degree be exactly more doubt problem it
One.
Mine fire Risk Assessment Index System is formulated as shown in figure 1, mine fire decision in the face of risk table passes through expert estimation
After carry out fraction zoning determination, with score value relation as shown in table 1, decision factor score value takes right here for condition element and decision factor
The average value of condition element score value is answered, factor score value is higher to be shown to be more beneficial for fire generation, and it is general that the score value does not represent generation
Rate, but estimate
The condition element of table 1 and decision factor and score value relation
Brief description of the drawings
Fig. 1 mine fire Risk Assessment Index Systems.
Specific embodiment
By taking the ore deposit of Fuxin as an example, determined with the weight based on Skowron differential matrixs using the assessment indicator system for building
Method determines the determination of the mine fire venture influence factor, has 9 experts the mine fire is entered according to index system
Go evaluation, in order to embody when decision set factor value changes influence on condition set factor, and then influence condition collection factor weight,
8 expert opinion situations when decision factor value is 1 and 2 are first provided, as shown in Table 1 and Table 2, i.e., according to step 1) build decision-making
Table,
The expert estimation table of table 2
The decision table of table 3
According to table 2 and table 3, and step 2) build differential matrix as shown in table 4,
The differential matrix of table 4
According to step 3) set full terms factor weight in variance factor set C it is identical and and be 1, it is as follows：
U1→U2:w11+w13+w22+w23+w33=1, w11=w13=w22=w23=w33=1/5；
U1→U4:w11+w13+w14+w23+w31+w32+w33=1, w11=w13=w14=w23=w31=w32=w33=1/7；
U5→U8:w11+w22+w24+w31+w32=1, w11=w22=w24=w31=w32=1/5.
According to step 4), step 5) and step 6) acquired results as shown in table 5,
The condition element weight of table 5 is normalized and sorted
As can be seen from Table 5, when decision factor value be 1 and 2 when, to U provide evaluation information can obtain condition because
The weight and ranking results of element, when the data entries quantity of decision factor value changes or U changes, the weight of condition element and row
Sequence is changed, by U in table 38Evaluation information be changed to the 9th expert opinion information, gained decision table as shown in table 6, with
Table 4 is identical with the determination method of table 5, respectively obtains table 7 and table 8,
The decision table of table 6
The differential matrix of table 7
The condition element weight of table 8 is normalized and sorted
Contrast table 5 and table 8 understand, in the case of decision factor value changes, the weight of condition element and sequence can be caused to become
Change, equally, data entries number change of U, or both can cause condition element weight and sequence to change when changing simultaneously,
This change procedure is that the U information provided by expert determines that, with the change of U, the intension of information also changes, and proposes here
The Weight Determination based on Skowron differential matrixs can therewith be changed according to the change of U, so as to accumulative expert can be played know
The effect of knowledge, from terms of for mine fire risk assessment angle, the method can draw 9 experts and fire wind occurs to the mine
The judgement of danger, synthesis is carried out to information, and the foundation of influence factor importance analysis is provided for mine fire evaluation；And with expert
The accumulation of information is adjusted on factor influence fire degree, and then instructs the mine fire risk assessment to work.
Claims (5)
1. a kind of mine fire risk factors Weight Determination, it is characterised in that to obtain mine fire influence factor with fire
Relation between calamity occurrence risk, proposes a kind of Weight Determination based on Skowron differential matrixs, and the method can process expert
Fuzzy data in information U, and with logical reasoning ability；Can according to the accumulation features of U update influence mine fire risk because
The weight of element；Condition element weight and sequence that the consistency problem of differential matrix is directly obtained under U can not be considered, ore deposit is established
Well fire evaluative system and standard, can be used for the determination of mine fire risk factors weight.
2. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that influence factor is weighed
Method is determined again,
Define 1：One decision system is S=(U, R, V), wherein：U represents that the finite nonempty set of object is closed, referred to as domain；R tables
Show the nonempty finite set of factor, including condition element and decision factor；V represents the codomain of factor in sets of factors R；
Define 2：P, Q are two equivalence relation families in domain U, whenIf IND (P)=IND (Q), and Q be it is independent,
So Q is exactly a yojan of P；
Define 3：For decision system S, if sets of factors S=C ∪ D, subset C={ x1, x2..., xnAnd D={ y } represent respectively
Condition element collection and decision factor collection, andThen the decision system is referred to as decision table.
3. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that
Wherein factor can about be subtracted based on Skowron differential matrixs, be simplified the relation of decision factor collection and condition element collection,
Skowron differential matrixs can also determine that the condition element in system S in the presence of different decision factors influences on decision factor
The importance of degree, step is as follows：
1) decision table of a certain problem is set up according to definition 1~3；
2) decision table is processed according to Skowron differential matrixs and sets up differential matrix；
3) by individual U in differential matrixiWith Uj, and i ≠ j, and when there is differentiating factor set C ≠ Φ, if the variance factor collection
The full terms factor weight closed in C is identical and and be 1；
4) according to 3) institute to all units in method traversal difference matrix, by all factor weights in different units according to factor
Carry out classification cumulative；
5) all factor weights are normalized according to 4) accumulation result；
6) 5) gained normalization factor weight is ranked up, obtains the importance ranking and power for certain problem influence factor
Weight.
4. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that mine fire wind
Dangerous assessment indicator system includes：Human factor, machine factor, environmental factor, management factors；Human factor includes：Mine fire
Disposing capacity is coordinated by safety education, personnel's awareness of the importance of fire prevention, personnel's fire resistance property, functional department；Machine factor includes：Equipment is under fire
Ability, equipment fire resistance property, fire detection system ability, fire extinguishing system ability；Environmental factor includes：Spontaneous combustion tendency, ventilation
Ability, Mining technology condition, coal dust and gas management can be led；Management factors：Mine fire emergency preplan, disaster hidden-trouble inspection energy
Power, disaster hidden-trouble elimination ability, fire managed fund supportability.
5. a kind of mine fire risk factors Weight Determination according to claim 1, it is characterised in that mine fire wind
Dangerous decision table is as shown in table 1 with score value relation by carrying out fraction zoning determination, condition element and decision factor after expert estimation,
Decision factor score value takes the average value of respective conditions factor score value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611000988.7A CN106777867A (en) | 2016-11-14 | 2016-11-14 | A kind of mine fire risk factors Weight Determination |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611000988.7A CN106777867A (en) | 2016-11-14 | 2016-11-14 | A kind of mine fire risk factors Weight Determination |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106777867A true CN106777867A (en) | 2017-05-31 |
Family
ID=58973491
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611000988.7A Pending CN106777867A (en) | 2016-11-14 | 2016-11-14 | A kind of mine fire risk factors Weight Determination |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106777867A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886858A (en) * | 2017-02-23 | 2017-06-23 | 深圳凯达通光电科技有限公司 | A kind of building fire Risk Evaluating System |
| CN109118095A (en) * | 2018-08-20 | 2019-01-01 | 深圳市中电数通智慧安全科技股份有限公司 | Dynamic Fire risk assessment method, device and server based on machine learning |
| CN109356652A (en) * | 2018-10-12 | 2019-02-19 | 深圳市翌日科技有限公司 | Adaptive fire grading forewarning system method and system under a kind of mine |
| CN109657916A (en) * | 2018-11-19 | 2019-04-19 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of Fire risk assessment method, device and server |
| CN110223477A (en) * | 2019-05-31 | 2019-09-10 | 广州仪速安电子科技有限公司 | A kind of laboratory fire explosion method for early warning and its system |
| CN111261011A (en) * | 2020-02-17 | 2020-06-09 | 中国矿业大学 | Mine fire simulation experiment platform and experiment method |
| CN114387755A (en) * | 2021-12-13 | 2022-04-22 | 煤炭科学技术研究院有限公司 | Mine smoke detection method, device, processor and system |
| CN117589245A (en) * | 2024-01-19 | 2024-02-23 | 煤炭科学技术研究院有限公司 | Fire smoke grade monitoring system and method for coal mine enclosed area |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279640A (en) * | 2013-04-23 | 2013-09-04 | 中国电子科技集团公司第三十六研究所 | Satellite-borne electronic system FMECA method based on rough set theory and reliability prediction |
| CN105069695A (en) * | 2015-07-28 | 2015-11-18 | 东北电力大学 | Intelligent substation real-time risk analysis system and analysis method |
| CN106022596A (en) * | 2016-05-16 | 2016-10-12 | 北京石油化工学院 | Urban gas pipeline system danger forecast and evaluation method |
-
2016
- 2016-11-14 CN CN201611000988.7A patent/CN106777867A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279640A (en) * | 2013-04-23 | 2013-09-04 | 中国电子科技集团公司第三十六研究所 | Satellite-borne electronic system FMECA method based on rough set theory and reliability prediction |
| CN105069695A (en) * | 2015-07-28 | 2015-11-18 | 东北电力大学 | Intelligent substation real-time risk analysis system and analysis method |
| CN106022596A (en) * | 2016-05-16 | 2016-10-12 | 北京石油化工学院 | Urban gas pipeline system danger forecast and evaluation method |
Non-Patent Citations (3)
| Title |
|---|
| ZHANGYAN XU ET AL.: "Comparative research of attribute reduction based on the new information entropy and on Skowron’s discernibility matrix", 《2008 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN》 * |
| 叶军 等: "一种基于区分矩阵的属性组合权重构造方法", 《计算机科学》 * |
| 邬云龙 等: "基于粗糙集 Skowron 差别矩阵的矿井火灾风险评价指标约简", 《中国安全生产科学技术》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886858A (en) * | 2017-02-23 | 2017-06-23 | 深圳凯达通光电科技有限公司 | A kind of building fire Risk Evaluating System |
| CN109118095A (en) * | 2018-08-20 | 2019-01-01 | 深圳市中电数通智慧安全科技股份有限公司 | Dynamic Fire risk assessment method, device and server based on machine learning |
| CN109356652A (en) * | 2018-10-12 | 2019-02-19 | 深圳市翌日科技有限公司 | Adaptive fire grading forewarning system method and system under a kind of mine |
| CN109356652B (en) * | 2018-10-12 | 2020-06-09 | 深圳市翌日科技有限公司 | Underground self-adaptive fire classification early warning method and system |
| CN109657916A (en) * | 2018-11-19 | 2019-04-19 | 深圳市中电数通智慧安全科技股份有限公司 | A kind of Fire risk assessment method, device and server |
| CN110223477A (en) * | 2019-05-31 | 2019-09-10 | 广州仪速安电子科技有限公司 | A kind of laboratory fire explosion method for early warning and its system |
| CN111261011A (en) * | 2020-02-17 | 2020-06-09 | 中国矿业大学 | Mine fire simulation experiment platform and experiment method |
| CN114387755A (en) * | 2021-12-13 | 2022-04-22 | 煤炭科学技术研究院有限公司 | Mine smoke detection method, device, processor and system |
| CN117589245A (en) * | 2024-01-19 | 2024-02-23 | 煤炭科学技术研究院有限公司 | Fire smoke grade monitoring system and method for coal mine enclosed area |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106777867A (en) | A kind of mine fire risk factors Weight Determination | |
| CN104715163B (en) | A kind of buried oil-gas pipeline methods of risk assessment | |
| CN108062638A (en) | Pipe gallery disaster chain methods of risk assessment | |
| CN106022596A (en) | Urban gas pipeline system danger forecast and evaluation method | |
| CN114565234A (en) | Non-coal mine safety risk monitoring and early warning integrated management system based on Internet of things technology | |
| Zeng et al. | Risk assessment of sustained casing pressure in gas wells based on the fuzzy comprehensive evaluation method | |
| CN111325434A (en) | Coal mine production risk assessment index system construction method based on big data | |
| CN107194574B (en) | Power grid security risk assessment method based on load loss | |
| CN102621434A (en) | Nonlinear fuzzy detection method for operating safety of power cable tunnel | |
| CN103426123A (en) | Power grid fault risk evaluation method based on rough set theory | |
| CN103824131A (en) | System and method for predicating risks of drilling construction working site of oil-gas well | |
| CN115936915A (en) | Non-coal mine safety risk level assessment method and system | |
| CN112991691A (en) | Intelligent interactive monitoring and early warning system for geological disasters | |
| Qu et al. | Multi-model fusion for assessing risk of inrush of limestone karst water through the mine floor | |
| CN103093099A (en) | Opencast coal mine safety evaluation method | |
| CN112686581A (en) | Natural disaster secondary dangerous chemical accident risk assessment method and system | |
| CN115830829A (en) | General forecast early warning system of colliery water damage | |
| Jiang et al. | A new quantitative method for risk assessment of coal floor water inrush based on PSR theory and extension cloud model | |
| CN103530708A (en) | Power transmission and distribution equipment hidden danger troubleshooting information management and decision support system | |
| Li et al. | Comprehensive Evaluation Model of Coal Mine Safety under the Combination of Game Theory and TOPSIS | |
| CN112598243A (en) | Method for dynamically evaluating operation and maintenance safety of pipe rack | |
| CN114493295B (en) | Method for determining tunnel monitoring project under salt rock geology and monitoring system | |
| Huang et al. | A safety assessment model of filling mining based on comprehensive weighting-set pair analysis | |
| CN111626640A (en) | Coal mine safety comprehensive risk evaluation method and system based on neutral reference object | |
| Weidong et al. | Prediction Model of coal and gas outburst based on rough set-unascertained measure theory |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170531 |
|
| WD01 | Invention patent application deemed withdrawn after publication |