QQ群聊

• CN 62-1112/TF
• ISSN 1005-2518
• 创刊于1988年

## Dynamic Status Evaluation of Main Fans of Mine at High Altitude Region

WANG Lipeng,, YAN Fang,, LI Zijun, WANG Fang

School of Resources and Safety Engineering，Central South University，Changsha 410083，Hunan，China

 基金资助: 国家重点研发计划项目“高海拔高寒地区矿井通风安全保障技术”.  2018YFC0808404

Received: 2020-05-25   Revised: 2020-07-18   Online: 2021-01-29

Abstract

Mine fans at high altitude region plays an extremely important role in the mining process of mineral resources.The mine fans provide a guarantee for the safe mining of mineral resources by providing fresh air and eliminating toxic and harmful gases，so they are an important part of safe production.It is of great practical significance to carry out a scientific assessment of the operation status of mine fans to promote the safety management of mine fans. In view of the complexity of the environment in which plateau mines are located，the mine fans evaluation index system was constructed，including one overall objective，four middle factors and sixteen criteria. Due to the uncertainty in the calculation process of the index weights，the weighted interval was calculated using the analytic hierarchy process （IAHP）. In order to obtain the accurate index weights，the 3-element connection number was used to convert the interval weights into accurate weights.Therefore，the uncertainty in the process of obtaining index weights can be effectively resolved，making the index weights more reasonable. In addition，the establishment of five-element identical-discrepancy-contrary evaluation model realizes the purpose of static assessment of the mine fan.The partial connection number theory in the set pair theory is introduced to predict and evaluate the operation state of the mine fan.Thereby realizing the static and dynamic evaluation for fans at high altitude region.The operation status of the mine fans is evaluated from the static and dynamic dimensions，making the evaluation results more practical.Finally，an example of a mine fan in Yunnan Province was introduced to verify the applicability and effectiveness of the method.The evaluation result of the operation state of the mine fans is medium level. In addition，the operation state of the mine fans was analyzed using partial connection number.Therefore，the future development trend of the indicators of mine fans can be predicted.The analysis results show that these indicators，namely environmental humidity，external structure status and personnel’s physical condition，will decline sharply in the future.Therefore，those should be classified as high risk factors，and corresponding management measures and technical measures should be proposed to improve the operation status of the fan.The evaluation results provide an important reference for the safety management of mine fans in the plateau area，and can effectively prevent the accidents caused by the poor operation of mine fans.Therefore，the method proposed can be used to evaluate the status of mine fans in the plateau area，which can not only grasp the current operation status of the fan，but also predict the development trend of the future status of the fan.The targeted suggestions for fault diagnosis，risk management and optimization of mine fans in the plateau area can be put forward.

Keywords： plateau mine fans ; set pair analysis ; partial connection number ; status evaluation ; the uncertainty interval analytic hierarchy process ; metal mines

WANG Lipeng, YAN Fang, LI Zijun, WANG Fang. Dynamic Status Evaluation of Main Fans of Mine at High Altitude Region[J]. Gold Science and Technology, 2020, 28(6): 930-939 doi:10.11872/j.issn.1005-2518.2020.06.092

### 1.1 集对分析

$μ=SN+FNi+PNj=a+bi+cj$

$μ=a+b1i1+b2i2+b3i3+cj$

### 1.2 集对势

$SHI=ac$

$GSPP=eaec$

$SPP=a+ab-(c+cb)=(a-c)(1+b)$

### 1.3 偏联系数

$∂μ=∂a+i1∂b1+i2∂b2+i3∂b3$

$∂2μ=∂∂μ=∂2a+i1∂2b1+i2∂2b2$

$∂3μ=∂2(∂μ)=∂3a+i1∂3b1$

$∂4μ=∂3∂μ=∂4a$

### 图1

Fig.1   Evaluation index system of mine fans in plateau area

（1）环境因素：高海拔地区具有低压缺氧的特点，它是造成高海拔地区设备降效的根本原因4。因此本文将环境温度、环境湿度和大气压力作为评估高海拔地区矿井风机的评估指标。

（2）管理因素：良好的管理对高海拔地区矿井风机的正常运行至关重要，它决定着矿井风机运行的状况。完善的管理制度、精准的应急方案和合理的人员分配将优化风机的运行状况。

（3）风机因素：风机因素是决定风机运行状况的决定性因素。根据《金属非金属矿山在用主通风机系统安全检查规范》（AQ 2054-2016）23，将外部结构、保护设施、监控系统、维修措施、能耗状态和通风效率作为考核风机运行状态的决定性因素。

（4）人员因素：高原地区低压缺氧降低了工作人员的身体健康水平和工作能力。王久玲等24从生理方面研究了高原矿山人员对环境的适应能力，也明确指出员工心理状况对环境适应性情况的研究是下一步的研究方向。马宁等7将人员因素作为考核人机工效的重要指标。因此本文将员工的心理状况、身体状况、教育水平和工作能力作为矿井风机的评估指标。

#### （1）建立区间比较矩阵

$A=11a12La12U⋯a1nLa1nUa21La21U11⋯a2nLa2nU⋮⋮⋮⋮an1Lan1Uan2Lan2U⋯11$

$AL=1a12L⋯a1nLa21L1⋯a2nL⋮⋮⋮⋮a1nLa2nL⋯1$
$AU=1a12U⋯a1nUa21U1⋯a2nU⋮⋮⋮⋮a1nUa2nU⋯1$

#### （3）计算区间权重

$k=∑j=1n1∑i=1naijU$
$h=∑j=1n1∑i=1naijL$
$Wi=ωLi,ωUi=kβL,hβU$

#### （4）计算精确权重

$μi=ai+bii+cij=ωiL+ωiU-ωiLi+(1-ωiL)j$
$pi=1+ai-ci∑k=1n1+ak-ck)$
$qi=1-bi∑k=1n(1-bk)$
$wi=piqi∑k=1npiqi$

#### 2.3 构建五元联系数同异反评估模型

$μ=a+b1i1+b2i2+b3i3+cj$

### 3.1 矿井风机状态评估结果

$βL=0.1176,0.2271,0.6553$
$βU=0.1174,0.2378,0.6448$

$w1=0.1122,0.1211w2=0.2165,0.2452w3=0.6249,0.6649$

$W=0.1207,0.2282,0.6511$

Table 1  Index weight of mine fans

$μCN=0.01+0.30i1+0.40i2+0.19i3+0.10j$

Table 2  Evaluation results of mine fans

$μ$0.01+0.30i1+0.40i2+0.19i3+0.10j均势

$μ$0.16+0.31i1+0.30i2+0.18i3+0.04j偏同势

$μ$0.11+0.24i1+0.34i2+0.12i3+0.19j偏同势

$μ$0.11+0.21i1+0.38i2+0.12i3+0.18j均势
$μCN$0.06+0.27i1+0.37i2+0.16i3+0.14j均势

Table 3  Calculation results of partial connection number

A

$μ$0.03+0.43i1+0.68i2+0.66i3下降0.07+0.39i1+0.51i2下降0.63+0.37i1下降0.26上升

B

$μ$0.34+0.51i1+0.63i2+0.82i3下降0.40+0.45i1+0.43i2下降0.47+0.51i1下降0.48上升

C

$μ$0.31+0.41i1+0.74i2+0.39i3下降0.43+0.36i1+0.66i2下降0.55+0.35i1上升0.61上升

D

$μ$0.34+0.36i1+0.76i2+0.40i3下降0.49+0.32i1+0.66i2下降0.61+0.33i1上升0.65上升
$μCN$0.18+0.42i1+0.7i2+0.53i3下降0.30+0.38i1+0.57i2下降0.44+0.40i1上升0.53上升

### 图2

Fig.2   The first partial connection number

### 图3

Fig.3   The second partial connection number

### 图4

Fig.4   The third partial connection number

### 图5

Fig.5   The fourth partial connection number

## 4 结论

（1） 结合不确定性区间层次分析法和三元联系数，克服了无法得到矿井风机指标精确权重的问题，使获得的指标权重更加准确。

（2） 解决了高原矿山风机评估过程中的不确定问题。构建的五元联同异反评估模型能够更有效地处理不确定问题，使评估结果更加准确和科学，矿井风机的评估结果为中等水平。通过对比云南省迪庆藏族自治州高原地区矿井风机的实际情况，验证了该方法的有效性。

（3） 实现了矿井风机状态动态评估。引入集对分析理论中的偏联系数，综合评估了矿井风机每个指标未来的发展趋势，实现了矿井风机动态状态评估；结合静态评估，构建了静态和动态相结合的评估方法，使评估结果具有系统性和准确性。

http://www.goldsci.ac.cn/article/2020/1005-2518/1005-2518-2020-28-6-930.shtml

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