隧道监控量测管理与TGP隧道地质超前预报研究

隧道施工过程中面临着复杂的地质环境和多变的施工条件,为确保隧道施工的安全性与质量,对隧道监控量测管理与TGP隧道地质超前预报中存在的问题与优化策略进行研究,以期为该领域从业人员提供参考。

刍议信息化监控技术在隧道施工安全管理中的运用

随着科学技术的快速发展,更多的信息化技术被应用到公路工程当中,极大的提升了公路工程的安全性。隧道施工安全管理是公路施工中重要的一个环节,由于隧道环境的特殊性,导致其施工安全管理工作至关重要,信息化监控技术在隧道施工安全管理中的应用,有效的提升了施工安全管理的效率。本文就信息化监控技术在隧道施工安全管理中的运用,做了深入的分析与探讨。

广州地铁西村站近接高架桥桩基影响分区及应用研究

广州地铁西村站为暗挖法施工的隧道群,近接9组高架桥桩基,其中隧道与桩XJ33最小净距仅2.30m。为保证高架桥的使用安全性,采用有限差分法和最小二乘法原理,对近接高架桥桩基进行近接影响分区研究,并根据分区结果对桩基进行分类,确定各类桩基沉降集中区,并对其提出可靠的加固方案;同时建立西村站近接桩基监控量测管理等级。研究结果表明:西村站隧道洞室开挖对近接高架桥桩基的影响可分为4个区,相应地把近接桩基分为4类;A类桩的桩基沉降集中区为掌子面前2.0D(D为隧道洞径)及掌子面后3.0D区段,B类桩为掌子面前1.0D及掌子面后3.0D区段,C类桩为掌子面前0.5D及掌子面后2.0D区段;西村站范围内的9组桩基均为A类桩,其中危险桩为XJ25,XJ32,XJ34。通过现场应用,有效地控制了西村站隧道群开挖对近接高架桥桩基的影响,保证了施工安全,积累了成功经验,可为相似工程施工提供参考。

机场水泥混凝土板的温度应力特性研究

水泥混凝土路面的结构设计中,有必要考虑板中产生的温度应力。机场水泥混凝土铺装因板厚较厚,温度应力有明显的非线性,因此和以往道路铺装设计中采用的温度应力公式相比,板中部应力普遍偏小。另一方面,机场设施的企业管理成本上升,为了降低使用寿命周期成本(LCC),确定最佳维修方案是重要的。该文在东京国际空港国际航线地段设计弯拉强度5.5MPa的停机坪混凝土板中,依据1年期间温度、变形量测结果,分析板中部和板边缘部分的温度应力特性,提出了板边部温度应力公式的报告。

Land Quality Assessment and Monitoring:The Next Challenge for Soil Science

Sustainable land management (SLM) is the key to harmonizing environmental and ecological concernsof society with the economic realities of producing adequate food and fiber of high quality and ensuring abasic minimal quality of life. The aim of SLM is to maintain the integrity of the biophysical land resourcebase, but it can only be realized if land users understand the impacts of land management options on theirlands but also on other off-site areas and can optimize the socioeconomic and environmental benefits of theirchoice. To facilitate this, the contribution of soil survey organizations would be through the assessment andmonitoring of land quality. Land quality is a measure of the ability of land to perform specific functions and isderived by an integration of soil survey information with other environmental, and if necessary, socioeconomicinformation. The desired reliability influences the operational scale of the assessment. Such an assessmentwould assist in: 1) locating homologous areas for research sites or for transferring technologies; 2) providingthe geographic basis for systems analysis (e.g. by modeling); 3) serving as a basis for local, national andglobal resource assessment and monitoring; 4) providing an ecosystem context for land use, assessments oftemporal and spatial variability, and impact of human interventions; 5) serving as a framework for moredetailed assessment for all levels of interest; and 6) evaluating global issues such as food security, impacts ofclimate change, biodiversity monitoring, and addressing desertification.Based on an evaluation of the progress made in soil resource inventories and considering the demandsof the environment focused world, the paper considers the need for countries to mount such a program. Theauthors believe that this is the next demand of soil science and that we can fulfill our social contract byperiodically providing such information on the state of a nation's land resource.

Pattern Recognition and Forecast of Coal and Gas Outburst

Coal and gas outburst is a complicated dynamic phenomenon in coal mines, Multi-factor Pattern Recognition is based on the relevant data obtained from research achievements of Geo-dynamic Division, With the help of spatial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coal and gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas： dangerous area, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal and gas outburst in Hualnan mining area in China.

Reliability and validation of the Arabic version of the Conditions for Workplace Effectiveness Questionnaire-Ⅱ

Objective:This study aimed to examine the psychometric properties of the Conditions for Workplace Effectiveness Questionnaire-Ⅱ-Arabic Version(CWEQ-Ⅱ-AV),which measures structural empowerment among nurses.To enhance the usability and credibility of the CWEQ-Ⅱ among researchers within Arabicspeaking countries,a valid and reliable Arabic version of the measure is necessary.Methods:A cross-sectional research design was used.From December 2018 to June 2019,275 nurses working in 4 hospitals participated in the study.Reliability was assessed by examining internal consistency and split-half reliability.A confirmatory factor analysis was performed to evaluate the factor structure of the CWEQ-Ⅱ-AV.Results:The psychometric properties of the CWEQ-Ⅱ-AV were excellent regarding the six-factor model(opportunity,information,resources,support,formal power,and informal power).The results showed the following fit indices meet the criteria set a priori:comparative fit index(CFI)=0.96,root mean square of error approximation(RMSEA)=0.06,andХ^(2)/df=2.08.Cronbach's a coefficient was 0.95 for the total questionnaire and ranged between 0.83 and 0.89 for the individual subscales.The split-half reliability was 0.91 for the total questionnaire and ranged from 0.83 to 0.87 for individual subscales.Conclusion:This study provides evidence that CWEQ-Ⅱ-AV is both a reliable and valid measure of structural empowerment among Arab nurses.

Forest Structure Analysis in the Oban Division of Cross River National Park, Nigeria

Information on forest structure is important for forest management decisions. This is inadequate in many situations, especially where timber is not of primary interest. We analyzed the structure of two forest types in the Oban Division of Cross River National Park, Nigeria. Systematic sampling technique was used to establish two transects measuring 2,000 x 2 m, at 600 m interval in the two forest types in four locations. Four 50 m x 50 m plots were located alternately at 500 m intervals along each transect, constituting 32 plots per forest type and 64 plots in all, Diameters at breast height （DBH）, base; middle and top; crown diameter; total height and crown length were measured on all trees with DBH 〉_ 10 cm. There were 159 stems/ha in the close-canopy forest and 132 stems/ha in the secondary forest. The mean DBH were 34.5 cm and 33.62 cm respectively. The mean heights were 24.79 m and 23.97 m, respectively. Basal area/ha were 41.59 m2 ha~ and 27.38 m2 hal for the two forest types. Majority of the trees encountered in the two forest types belonged to the middle stratum which has implication for small mammals＇ populations. Emergent trees which are otherwise scarce in other parts of the country were recorded, which also has implications for density thinning and seed supplies.

CONTROL OF GAS EMISSION AT COAL FACE IN CHINA

All the underground coal mines in China are gassy mines. The gas emission at coal face increasingly grows with the increase of working depth and coal output, for example, the gas emission at a full mechanized coal face of mine No. 2 at Yongquan with a daily output of 2. 000t/d is up to 66-72m2/min. Special gas emission phenomena such as gas blowout, gas and coal outburst etc. have occurred at some faces, which threatens the safe production of face. obstructs the growth of productivity and limits the full play of mechanized equipment.In this paper, gas at face is divided, according to its origin, into three constituents, namely , coming from the coal wall, mined coal and goaf;and a formula for calculation is given. Also , the characteristics of the variation of gas emission at coal face, and the influence of mining sequence of a group of seams and supplied air quantity on the gas emission are discussed. Furthermore . based on the regularity of gas emission at coal face from the above three sources, and on the experiences of years, three principles on controlling gas emission at coal face are presented, that are managing the gas on classification basis, harnessing each source separately and comprehensive prevention and control. Finally, technical measures for prevention and treatment of the accumulation of gas in the upper corner of face, at the working place of coal-winning machine and in the bottom trough of conveyor are introduced.

Measuring Herbage Mass by Non-Destructive Methods： A Review

Accurate assessment of herbage mass （HM） in pasture is a key to budgeting forage in grazing systems worldwide. Different non-destructive techniques to measuring pasture yield are commented. The methods compared include visual estimations, manual and electronic pasture meters and remote sensing. All methods are associated with a moderate to high error, showing that some indirect methods of yield estimation are appropriate under most appropriate because many factors as climate variations, soil certain conditions. In general terms, no method was found as the characteristics, plant phenology, pasture management and species composition must be taken into account to make local calibrations from a general model. Best results were found modifying general methods under local calibrations and under local conditions. In order to give farmers the best method to manage adequately their own grazing systems, researchers must select the most suitable technique considering the scale of operation, the desired accuracy and the resources available.

Terminal Traffic Flow Prediction Method Under Convective Weather Using Deep Learning Approaches

In order to improve the accuracy and stability of terminal traffic flow prediction in convective weather,a multi-input deep learning(MICL)model is proposed.On the basis of previous studies,this paper expands the set of weather characteristics affecting the traffic flow in the terminal area,including weather forecast data and Meteorological Report of Aerodrome Conditions(METAR)data.The terminal airspace is divided into smaller areas based on function and the weather severity index(WSI)characteristics extracted from weather forecast data are established to better quantify the impact of weather.MICL model preserves the advantages of the convolution neural network(CNN)and the long short-term memory(LSTM)model,and adopts two channels to input WSI and METAR information,respectively,which can fully reflect the temporal and spatial distribution characteristics of weather in the terminal area.Multi-scene experiments are designed based on the real historical data of Guangzhou Terminal Area operating in typical convective weather.The results show that the MICL model has excellent performance in mean squared error(MSE),root MSE(RMSE),mean absolute error(MAE)and other performance indicators compared with the existing machine learning models or deep learning models,such as Knearest neighbor(KNN),support vector regression(SVR),CNN and LSTM.In the forecast period ranging from 30 min to 6 h,the MICL model has the best prediction accuracy and stability.

Multicenter application of a nursing workload measurement scale in adult hospitalization units

Objectives:The study aimed to the multicenter application of a nursing workload measurement scale in the internal medicine and surgery adults hospitalization units.Methods:The study design was a multicenter,observational,and descriptive study.A multicenter application of the MIDENF®nursing workload measurement scale was carried out,which consists of 21 items,and covers the four nursing functions(patient care items,teaching,manager,and researcher),in units of hospitalization of adults of internal medicine and surgery of four different hospitals.Each item contains one or more of the nursing interventions of Nursing Interventions Classification(NIC)and has an assigned time,after comparing the real time it takes to perform each intervention with the North American Nursing Diagnosis Association(NANDA)standardized time.The study was carried out during nine months of the year 2020,measuring two days each month in the three work shifts(morning,evening,and night)to all patients admitted on the days of measurement in the indicated units.Results:The descriptive and inferential analysis of 11,756 completed scales,5,695 in general surgery and 6,061 in internal medicine,showed a greater care load for the two units during the morning shift(227,034 min in general surgery,261,835 min in internal medicine),especially in the items of“self-care”,“medication”,“common invasive procedures”,“fluid therapy”,and“patient and family support”,while the managerial function was similar during the three work shifts in the two units studied,getting values between 57,348 and 62,901min.In the analysis by shift and unit,statistical significance was obtained both for the total workload and the four nursing functions(P<0.001).Conclusions:It is shown that the use of validated scales with the standardized language of nursing functions,adapted to the units,provides objective information to adjust the nursing staff to the real situation of care in any hospital and unit where it is applied,improving quality and patient safety.

Wavelet Analytical Forecasting Method of Water Consumption

A new method of short-term forecasting for water consumption in municipal supply water networks based on wavelet transformation is introduced. By wavelet decomposing commonly used in the signal field, water consumption per hour is decomposed into many series. Trend item, cycle item and random item are separated from the original time series in this way.Then by analyzing, building a model, forecasting every series and composing the results, the forecasting value of the original consumption is received. Simulation results show that this forecasting method is faster and more accurate, of which the error is less than 2%, indicating that the wavelet analytical method is practicable.

Research on Magnetic Flux Leakage Detection Method for Subsea Pipeline

The intelligent pig based on the (MFL) is frequently used for in-line inspection of transportation pipelines. The article discusses the key technology of an MFL tool that includes the sensors structure, the constitution of tool hardware, software and the analysis method of MFL signal.

New Technology Usage for Sustaniable Dairy Cow Reproductive Perfomances

Technology gives many oppurtunites for cattle farmers for easier and effective herd management possibilities. New era provides many realistic applications using smart applications for farmers. Especially milking is very popular for engineering applications. Reproductive technologies can be seen as frontier applications. Reproductive performances of the dairy farms can be defined as number of calves for cows in a year. It means new material for meat and milk production. Because new female calf means new cow for her while male calf means new material for beef. If meat and milk production are to be increased, cow productivity, i.e. the number of calves produced lifetime must be improved and increased. Although varying among herds, annual average herd incidences of reproductive disorders and reproductive performance were similar to those reported. Managerial practices influenced incidences of retained placenta and uterine infection, days open of cows not bred and of all cows, services per conception and percentages of herd open more than 100 days and culled for low production. Good heat detection programs can have a major impact on overall herd reproductive performance. The best heat detection programs start with careful timing, good observation and the effective use of detection aids. Being able to distinguish and interpret cow behaviour and other signs is critical, so are good record keeping and training for the people responsible for heat detection. Generaly, farmers with the best heat detection results use a combination of observation and heat detection aids. Several options are available to aid heat detection and increase heat detection rates. Although a rich variety of methods have been introduced for the detection of oestrus, a more accurate and practical method is still required.

Study on the Industry Structure of Employment and Its Optimizing Measures in China

This article studies the change in the industry structure of employment in China based on the practical analysis of data of the change in the industry structure of employment and the production value of three major sectors and GNP. At the same time, the article studies the status quo of the industry structure of employment in China compared with other countries. On the basis of these studies, the article indicates the main problems in the industry structure of employment in China and gives some countermeasures to optimize it.

Research on Human Resource Accounting Based on Value Chain

The requirements of management practice make the research of human resource accounting popular. But the difficulty of calculation hinders the implementation of human resource accounting. The paper selects observes the crossing field of management and economics, human resource accounting based on value chain. The paper explains that the present human resource accounting measurement should be innovated, and proposes that the human capital can be divided into general human capital and critical human capital according to the role on value chain, and makes color measurement.

Experimental Acoustic Determination of the Void Fraction in Two-Phase Flow in Horizontal Pipelines

In multi-phase flows, the phases can flow and arranged in different spatial configurations in the pipe, which called flow patterns. This type of flow is found in the oil, chemical and nuclear industries. For example, in the production and transport of oil and gas, the identification of the flow patterns are essential for answering those questions which are related to the economic return of the field, such as, measuring the volumetric flow, determining the pressure drop along the flow lines, production management and supervision. In offshore production, these factors are very important. This paper presents a new method for measuring the void fraction in horizontal pipelines, taking the air as gas in water-air two-phase flow. Through acoustic analysis of the frequency response of the pipe, the method gets the parameters to changes in runoff regime, in an experimental arrangement constructed on a small scale. The main advantages are the non-intrusive characteristic and easy to implement. The paper is composed of a qualitative experimental evaluation and transducers （microphone） which are used to analyze variations in the response accompanying variations in void and flow pattern changes. Changes are imposed and controlled by a two-phase flow experimental simulation rig, including a measurement cell constituted of an external casing that can isolate the measurement from the environmental background noise fitted with acoustic pressure transducers radially arranged, and the impact of a monitored excitation mechanism. The signals which captured by the microphones are processed and analyzed by checking their frequency contents changes according to the amount of air in the mixture.

Research on knowledge management contribution rate measurement for real estate enterprises

Based on the improved method of Solow's residual value,through the introduction of potential analysis method,a measurement model of enterprise knowledge management contribution rate(KMCR) is put forward in this paper,and is estimated by the performance measure of a real estate enterprise for implementing knowledge management(KM),then the results have shown that the model and the method have good feasibility.

An Approach for Cost-Efficient Grid Integration of Distributed Renewable Energy Sources

We describe a specific approach to capacity man a ge ment for distribution grids. Based on simulations, it has been found that by curtailing a maximum of 5% of the yearly energy production on a per-generator basis, distribution grid connection capacity can be doubled. We also present the setting and fi rst results of a fi eld test for validating the approach in a rural distribution grid in northern Germany.