The Customer Requirements Analysis Method of Engineering Products Based on Multiple Preference Information

To effectively evaluate the fuzziness of the market environment in product planning,a customer requirements analysis method based on multiple preference information is proposed.Firstly,decision-makers use a preferred information form to evaluate the importance of each customer requirement.Secondly,a transfer function is employed to unify various forms of preference information into a fuzzy complementary judgment matrix.The ranking vector is then calculated using row and normalization methods,and the initial importance of customer requirements is obtained by aggregating the weights of decision members.Finally,the correction coefficients of initial importance and each demand are synthesized,and the importance of customer requirements is determined through normalization.The development example of the PE jaw crusher demonstrates the effectiveness and feasibility of the proposed method.

Identification of Contamination Information of Vegetation in Coal Mines Based on Hyperspectral Remote Sensing Data

The development and application of the hyper-spectral remote sensing (HRS) in the environment investiga-tion and evaluation of coal mines have been discussed in detail. By using Hyperion HRS technology and field spectrummeasuring and integrating traditional geological method as well as laboratory chemical measurement, the absorptionspectrum features and the spectral variation rules of vegetation caused by coal mine waste piles were studied. Based onthe spectral modeling methods and Vegetation Red Edge Parameter (VREP), the diagnose spectra information andspectral variation parameter were extracted, and the mapping methods of VREP were researched. The spatial distribu-tions of contaminative vegetation have been quickly found out.This study has provided technical supports for the envi-ronment investigation and pollution management of coal mines.

Conjunctive Utilization of Water Resources at the Yulin Coal-Mine Base in China

Shortages in water resources and the fragile ecosystem by coal-mine water affect the Yulin coal-mine base in northwest China, so taking coal-mine water into account is an important issue for the sustainable management of water resources. This paper aims to explore how the Yulin coal-mine base can improve its conjunctive utilization of water resources. Integrated utilization is proposed by establishing a multi-objective, multi-water-source, optimal-allocation model;setting up an integrated information platform;and giving very useful measures and policy suggestions to the local government. Finally, this research can also serve as an example of integrated water utilization for other energy bases.

New prospecting progress using information and big data of coal and oil exploration holes on sandstone-type uranium deposit in North China

1.Objective A series of Mesozoic-Cenozoic continental sedimentary basins exist in North China,coexisting with coal,oil/gas,and salt resources.Many previous drilling projects have been conducted within these basins to explore coal,petroleum,and mineral resources,however,these data have not been integrated due to different industries owners.In order to efficiently explore the large-sized,easily extracted,and environmentally friendly,sandstone-type uranium deposits,previous coal and oil exploration drilling-hole data are systematically collected, processed,and analyzed to improve the sandstone-type uranium prospecting exploitation.At the same time,we also discussed the uranium source,ore-forming process and model for the sandstone-type uranium deposits.

Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors

Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines.To address this issue,a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database.Four assessment indexes are used in the model,which are the dynamic failure duration(DT),elastic energy index(WET),impact energy index(KE)and uniaxial compressive strength(RC).Four membership functions,including linear(L),parabolic(P),S and Weibull(W)functions,are proposed to measure the uncertainty level of individual index.The corresponding weights are determined through information entropy(EN),analysis hierarchy process(AHP)and synthetic weights(CW).Simultaneously,the classification criteria,including unascertained cluster(UC)and credible identification principle(CIP),are analyzed.The combination algorithm,consisting of P function,CW and CIP(P-CW-CIP),is selected as the optimal classification model in function of theory analysis and to train the samples.Ultimately,the established ensemble model is further validated through test samples with 100%accuracy.The results reveal that the hybrid model has a great potential in the coal burst hazard evaluation in underground coal mines.

Establishing minimum clinically important difference values for the Patient-Reported Outcomes Measurement Information System Physical Function, hip disability and osteoarthritis outcome score for joint reconstruction, and knee injury and osteoarthritis out

AIM To establish minimum clinically important difference(MCID) for measurements in an orthopaedic patient population with joint disorders.METHODS Adult patients aged 18 years and older seeking care for joint conditions at an orthopaedic clinic took the Patient-Reported Outcomes Measurement Information System Physical Function(PROMIS~? PF) computerized adaptive test(CAT), hip disability and osteoarthritis outcome score for joint reconstruction(HOOS JR), and the knee injury and osteoarthritis outcome score for joint reconstruction(KOOS JR) from February 2014 to April 2017. MCIDs were calculated using anchorbased and distribution-based methods. Patient reports of meaningful change in function since their first clinic encounter were used as an anchor.RESULTS There were 2226 patients who participated with a mean age of 61.16(SD = 12.84) years, 41.6% male, and 89.7% Caucasian. Mean change ranged from 7.29 to 8.41 for the PROMIS~? PF CAT, from 14.81 to 19.68 for the HOOS JR, and from 14.51 to 18.85 for the KOOS JR. ROC cut-offs ranged from 1.97-8.18 for the PF CAT, 6.33-43.36 for the HOOS JR, and 2.21-8.16 for the KOOS JR. Distribution-based methods estimated MCID values ranging from 2.45 to 21.55 for the PROMIS~? PF CAT; from 3.90 to 43.61 for the HOOS JR, and from 3.98 to 40.67 for the KOOS JR. The median MCID value in the range was similar to the mean change score for each measure and was 7.9 for the PF CAT, 18.0 for the HOOS JR, and 15.1 for the KOOS JR.CONCLUSION This is the first comprehensive study providing a wide range of MCIDs for the PROMIS? PF, HOOS JR, and KOOS JR in orthopaedic patients with joint ailments.

STUDY ON EXTRACTING METHODS OF BURIED GEOLOGICAL INFORMATION IN HUAIBEI COAL FIELD

It is discussed features and tbe producing mechanism of buried geological information in geological, geophysical and remote sensing data in Huaibei coal field, and studied the methods extracting buried tectonic and igneous rock information from various geologicaI data using digital image processing techoiques.

Coalmine Safety Assurance Information System Based on GIS

The mine ventilation and safety is one of the most important factors to influence on the coal production.More attention has been paid to manage safety information in scientific, efficient, and real-time way. Therefore, it is important to develop a practical mine safety assurance information system (CSAIS). Based on analyzing the actual management mode for ventilation and safety on mine, the paper studies the structure and function of the mine safety assurance information system based on GIS in detail. Moreover, it also suggests some applications and solutions. By combining with the practical situation, the paper realizes the whole function of the present system.

Spatial analysis and evaluation of a coal deposit by coupling AHP & GIS techniques

Nowadays,the evaluation of coal deposits becomes crucial,due to many uncontrollable factors,which affect the energy sector.A comparative evaluation of coal deposits is essential for their hierarchical classification regarding their sustainable exploitation,when compared to other coal deposits or competitive fuels,which may be used as alternative solutions for electricity generation.In this paper,a method for spatial analysis and evaluation of a lignite deposit is proposed,by creating four spatial key indicators via GIS analysis,which are then aggregated by applying a weighted linear combination.The analytical hierarchy process is applied to estimate the relative weights of the indicators,in order to perform a weighted cartographic overlay.Through the synthesis of the indicators,an overall,total spatial quality indicator is calculated.The weighted analysis was shown to be more effective compared to the unweighted one,because it can provide more reliable results regarding the exploitation of the examined lignite deposit.The implementation of GIS-based analytical hierarchy process in spatial analysis and evaluation of lignite deposits,in terms of sustainable exploitation,demonstrates that this method can be extensively applied for evaluating the economic potential of mineral deposits.

The coal cleat system:A new approach to its study

After a general analysis regarding the concept of coal ＂cleat system＂, its genetic origin and practical applications to coalbed methane （CBM） commercial production and to C02 geological sequestration projects, the authors have developed a method to answer, quickly and accurately in accordance with the industrial practice and needs, the following yet unanswered questions： （1） how to define the spatial orientation of the different classes of cleats presented in a coal seam and （2） how to determine the frequency of their connectivites. The new available and presented techniques to answer these questions have a strong computer based tool （geographic information system, GIS）, able to build a complete georeferentiated database, which will allow to three-dimensionally locate the laboratory samples in the coalfield. It will also allow to better understand the coal cleat system and consequently to recognize the best pathways to gas flow through the coal seam. Such knowledge is considered crucial for understanding what is likely to be the most efficient opening of cleat network, then allowing the injection with the right spatial orientation, of pressurized fluids in order to directly drain the maximum amount of gas flow to a CBM exploitation well. The method is also applicable to the CO2 geological sequestration technologies and operations corresponding to the injection of CO2 sequestered from industrial plants in coal seams of abandoned coal mines or deep coal seams.

On 3D Geo-visualization of a Mine Surface Plant and Mine Roadway

构造一个煤矿的虚拟景色是的 3D 为在煤采矿上现代化并且处理信息的客观要求生产。建立“一个数字矿”也是关键技术。由探索当前的世界范围的研究，软件和硬件工具和应用程序要求，与案例研究地点(Pingdingshan 煤组的 Daz-huang 矿) 结合了，为一个矿的 3D geo 可视化的一条途径出现工厂和矿车道深深地被讨论。在这研究，虚拟景色基于弧 / 信息和 Site-Builder3D 被学习的为一个大范围的快速的建模方法，和从 2D 景色的 3D 景色的自动产生被认识到。能从 2D 把矿车道系统变换成 3D 的如此的一个自动方法为 Dazhuang 矿被认识到。一些相关应用程序问题被学习，包括在在矿表面的虚拟景色的虚拟场面种的 2D 和 3D 和矿车道之间的属性质问，并列质问，距离措施，碰撞察觉和动态相互作用。一个原型系统被设计并且发展。

Study on Material ManagementSystem of Coal Enterprise Basedon Data Warehouse

On the bas is of the reality of material supply management of the coal enterprise, this paper expounds plans of material management systems based on specific IT, and indicates the deficiencies, the problems of them and the necessity of improving them. The structure, models and data organizing schema of the material management decision support system are investigated based on a new data management technology (data warehousing technology).

Empirical Analysis of Gross Domestic Product and Coal Import Based on VAR Model

The speed of China’s economic development is gradually accelerating, and the demand for energy is also constantly increasing, especially the demand for coal. In order to reveal whether the coal imports have an impact on China’s economic development, this paper constructs the VAR(6) model by selecting the quarterly data of coal imports (CIV) and gross domestic product (GDP) from 2002 to 2017, performing ADF (Augmented Dickey-Fuller) stationarity test and Johansen cointegration test. It shows that there is a long-term stable equilibrium relationship between coal imports and GDP. Then the impulse response function is used to obtain the relationship between coal imports and GDP. It is found that the impact of coal imports on GDP is greater than the impact of GDP on coal imports.

基于VMD-Informer-LOF算法的变频器故障提前预警研究

针对风电机组变频器故障时常伴随剧烈温度变化的特点,本文提出一种基于VMD-Informer-LOF算法的故障检测方法。方案综合考虑风机状态变量对变频器的影响,利用变分模态分解(variational mode decomposition,VMD)提取电流电压等电信号的平稳变化分量与高频干扰噪声,并结合排列重要性(permutation importance,PI)筛选对温度具有高灵敏性的变量。同时,基于故障时温度呈现为过低温或过高温的特点,将Informer预测温度值和SCADA(supervisory control and data acquisition)系统实测值重组为二维序列,结合局部离群因子(local outlier factor,LOF)算法识别变频器不同状态下的温度模式,进而实现高效的异常识别。经实验验证,本文所提出的VMD-Informer模型的温度预测拟合优度能够达到0.9841,效果优于LSTM(long short term memory)、XGBoost(extreme gradient boosting)等时序预测方法;同时,结合滑动窗口划分数据,LOF算法能够有效地对窗口内异常数据进行识别,在故障率阈值为0.2的情况下,能够实现提前约14小时发现故障,显著提高了故障预警效果。

考虑信息泄露影响的光纤传感网络传输数据安全导入方法

为了提高对光纤传感网络传输数据安全传输能力,提出基于信息泄漏加密传输的光纤传感网络传输数据安全导入方法。采用离散混沌时间序列同步调制方法实现对光纤传感网络传输数据导入过程中调制编码处理,根据混沌随机编码特性实现对光纤传感网络传输数据过程中的同步输出稳定性调节和自主随机编码,构建光纤传感网络信息传输泄漏抑制的加密密钥,通过Logistics映射实现对光纤传感网络传输数据导入过程中的信息泄漏加密重传,根据光纤传感网络传输数据的混合敏感密钥表征和算术编码,实现信息泄漏控制和数据安全导入。实验结果表明,采用该方法进行光纤传感网络传输数据导入的加密性能较好,其光纤传感网络传输数据已加密比特序列的识别率为98%,误码率仅为2.7∗10-9%,抗泄漏能力达到了0.970,并且导入后的数据完整度达到了0.996,说明该方法具备了较强的加密效果、抗泄漏能力,实现数据的安全导入和加密传输。

高管团队海外经历与中国企业的进口行为

进口是连接全球产业链和供应链的重要纽带,对确保我国经济安全具有重要的战略意义。利用2008—2015年中国上市公司微观数据和海关贸易数据的合并样本,研究了高管团队海外经历对企业进口行为的影响及其作用机制。研究结果表明:(1)高管团队海外经历显著提高了企业的进口概率并扩大进口规模,信息机制和创新机制是重要渠道。(2)高管团队海外经历通过推动国内更多的企业从事进口、促进持续进口企业进口新产品、推动企业调整进口产品组合或进口市场组合等进口扩展边际发挥作用,对企业进口集约边际的影响不显著。(3)供应链冲击强化了高管团队海外经历对企业进口行为的促进作用。(4)与具有海外学习经历的高管团队相比,具有外籍高管成员的高管团队显著扩大了企业的进口规模,具有海外工作经历的高管团队显著提高了企业进口概率并扩大进口规模,高管团队海外经历对企业资本品进口、战略性行业企业进口的促进作用更大。研究结论为中国吸引国际人才以及确保进口安全提供了政策指导。

煤矿信息综合承载网标准研究制定

为满足煤矿监控、定位、视频、音频、远控、5G等不同业务对时延、可靠性、带宽等指标的不同需求,煤矿信息综合承载网应具有下列功能:①网络切片功能,支持FlexE接口技术或信道化子接口技术,将端口带宽资源划分到不同网络切片中;不同网络切片之间的业务彼此隔离承载,互不影响。②网络切片在线带宽扩容功能,带宽调整过程中业务不出现丢包。③网络切片设置掉电保护功能。④符合IEEE 802.3和TCP/IP协议,支持IPv6协议和IPv6业务承载,支持IPv4、IPv6业务同时承载。⑤支持万兆光接口、千兆光接口、10/100/1000 Mbit/s自适应接口,核心与汇聚节点宜支持5万兆及以上光接口。⑥宜采用环形或双环结构。⑦业务质量实时监测功能,实时监测指定业务的时延、抖动和丢包率情况。⑧1588v2时钟同步功能,支持5G基站业务接入。煤矿信息综合承载网的主要技术指标应满足下列要求:①光端口传输距离应≥20 km;电端口传输距离应≥100 m。②骨干网传输速率应≥10 Gbit/s;接入网传输速率应≥1 Gbit/s。③不同帧长的丢包率均≤0.01%(在70%网络流量负载条件下)。④单节点传输时延应≤1 ms(当以太网帧帧长度为1518 byte时)。⑤节点转发抖动≤100μs。⑥单接口支持切片数量应≥5。⑦FlexE接口技术最小带宽应≤1 Gbit/s;信道化子接口技术最小带宽应≤2 Mbit/s。⑧网络重构自愈时间应≤50 ms。⑨在电网停电后,承载网设备在备用电源下的连续工作时间应≥4 h。