Knowledge representation and decoupling analysis on failure mechanisms of remotely controlled intelligent machinery

Remotely controlled intelligent machinery has complications,including loose manage-ment of failure information,low information availability,and coupling influence among systems,which can be effectively solved by analyzing the system state and information characteristics of the equipment.Taking intelligent agricultural machinery as the object,this study applies the knowledge representation method to explore equipment failure states’informational features and construct a knowledge framework model of system fail-ure representation relations and a complex network conceptual model to visualize the fail-ure information more intuitively and facilitate systematic management and utilization.The feedback-based decoupling analysis method uncouples the coupling between subsys-tems,identifying the critical state of decoupling well.It attempts to apply the knowledge representation and decoupling analysis to remotely controlled intelligent agricultural machinery equipment.Through the example,the result further illustrates the feasibility of knowledge representation and decoupling for remotely controlled intelligent agricultural machinery systems and provides essential support for better failure analysis.

Decoupled thermal–hydraulic analysis of an air-cooled separated heat pipe for spent fuel pools under natural convection

An investigation of the decoupled thermal–hydraulic analysis of a separated heat pipe spent fuel pool passive cooling system(SFS)is essential for practical engineering applications.Based on the principles of thermal and mass balance,this study decoupled the heat transfer processes in the SFS.In accordance with the decoupling conditions,we modeled the spent fuel pool of the CAP1400 pressurized water reactor in Weihai and used computational fluid dynamics to explore the heat dissipation capacity of the SFS under different air temperatures and wind speeds.The results show that the air-cooled separated heat pipe radiator achieved optimal performance at an air temperature of 10℃ or wind speed of 8 m/s.Fitted equations for the equivalent thermal conductivity of the separated heat pipes with the wind speed and air temperature we obtained according to the thermal resistance network model.This study is instructive for the actual operation of an SFS.

The relationship between energy consumption and economic growth and the development strategy of a low-carbon economy in Kazakhstan

Fossil energy is the material basis of human survival, economic development and social progress. The relationship between energy consumption and economic growth is becoming increasingly close. However, energy consumption is the major source of greenhouse gases, which can significantly affect the balance of the global ecosystem. It has become the common goal of countries worldwide to address climate change, reduce carbon dioxide emissions, and implement sustainable development strategies. In this study, we applied an approximate relationship analysis, a decoupling relationship analysis, and a trend analysis to explore the relationship between energy consumption and economic growth using data from Kazakhstan for the period of 1993-2010. The results demonstrated： （1） the total energy consumption and GDP in Kazakhstan showed a ＂U＂-type curve from 1993 to 2010. This curve was observed because 1993-1999 was a period during which Kazakhstan transitioned from a republic to an independent country and experienced a difficult transition from a planned to a market economy. Then, the economic system became more stable and the industrial production increased rapidly because of the effective financial, monetary and industrial policy support from 2000 to 2010. （2） The relationships between energy con- sumption and carbon emissions, economic growth and energy exports were linked; the carbon emissions were mainly derived from energy consumption, and the dependence of economic growth on energy exports gradually increased from 1993 to 2010. Before 2000, the relationship between energy consumption and economic growth was in a recessional decoupling state because of the economic recession. After 2000, this relationship was in strong and weak decoupling states because the international crude oil prices rose and energy exports increased greatly year by year. （3） It is forecasted that Kazakhstan cannot achieve its goal of energy consumption by 2020. Therefore, a low-carbon economy is the best strategic choice to address climate change from a global perspective in Kazakhstan. Thus, we proposed strategies including the improvement of the energy consumption structure, the development of new energy and renewable energy, the use of cleaner production technologies, the adjustment and optimization of the industrial structure, and the expansion of forest areas.

Environmental impacts of domestic resource extraction in China

Introduction:The rapid development of economy has led to extensive raw material consumption and relevant environmental damage in China.To analyze environmental impacts and identify materials resulting in these environmental effects via raw material extraction,we combine economy-wide material flow accounting and life-cycle analysis methods to estimate environmental impacts of Chinese domestic extraction(DE)during the period of 1992–2015.The relationship between these increasing environmental impacts and Chinese GDP was also explored by decoupling analysis.Outcomes:Results show that Chinese DE increased by 372%during 1992–2015.The global warming potential,abiotic depletion potential,and respiratory inorganics of Chinese DE increased by 195%,46%,and 408%,respectively.In terms of specific materials,extraction of iron ores,gravel and sand,and coal induced the most environmental impacts.The relationship between environmental impacts and Chinese GDP/DE was characterized by relative decoupling.Conclusion:To minimize the environmental impacts of extraction,we recommend that the Chinese government improve its extraction techniques and reduce excess demand for materials with large extraction such as iron ores,gravel and sand,and coal.We also recommend researching alternative materials for scarce resources like molybdenum,gold,and fluorite.