Study on the Source Management and Analysis System

Considering the shortcoming in source management work for a long time, the CaiHong Group corporation propose the concep of Dynamic Consumption Norm. This has increased the enthusiasm of the workers to economize sources and reduce cost. Within a year, the corporation economizes sources for 20 billion yuan and achieves a notable effect in the work of reducing the cost and increasing the economic benefit. In order to assist the implementation of the new method in source management, both the corporation and the Education and Research Center of Plant Engineering in China have developed this 'Source Management And Analysis System '.

Development of Management System for Regional Pollution Source Based on SuperMap Objects

Based on the integration of C#.net and SuperMap Objects(tool software of component GIS),the management system of regional pollution source is developed.It mainly includes the demand analysis of system,function design,database construction,program design and concrete realization in the management aspect of pollution source.

A Project Plan for Controlling of Nonpoint Source Pollution in China

Nonpoint source pollution is a major cause of remaining water environmental quality problems in China＇s main water bodies, especially is a potential danger for drinking water resource. But in China, nonpoint source pollution control is still at its early stage, many related programs and policies are absent, researches and practices of controlling NPS pollution are scarce. Projects based on BMPs, which were proved successful in controlling nonpoint source pollution in developed countries, are also increasingly utilized in China＇s nonpoint source pollution control. Designing a successful project includes 9 items such as identifying the water quality problems, stating the water quality problems, defining objectives and goals, obtaining funds, involving the community, cooperating and coordinating among agencies, outlining the critical and sensitive areas and so on.

Optimization management of hybrid energy source of fuel cell truck based on model predictive control using traffic light information

Energy optimization management can make fuel cell truck(FCT)power system more efficient,so as to improve vehicle fuel economy.When the structure of power source system and the torque distribution strategy are determined,the essence is to find the reasonable distribution of electric power between the fuel cell and other energy sources.The paper simulates the assistance of the intelligent transport system(ITS)and carries out the eco-velocity planning using the traffic signal light.On this basis,in order to further improve the energy efficiency of FCT,a model predictive control(MPC)-based energy source optimization management strategy is innovatively developed,which uses Dijkstra algorithm to achieve the minimization of equivalent hydrogen consumption.Under the scenarios of signalized intersections,based on the planned eco-velocity,the off-line simulation results show that the proposed MPC-based energy source management strategy(ESMS)can reduce hydrogen consumption of fuel cell up to 7%compared with the existing rule-based ESMS.Finally,the Hardware-in-the-Loop(HiL)simulation test is carried out to verify the effectiveness and real-time performance of the proposed MPC-based energy source optimization management strategy for the FCT based on eco-velocity planning with the assistance of traffic light information.

Consolidated cluster systems for data centers in the cloud age： a survey and analysis

In the cloud age, heterogeneous application modes on large-scale infrastructures bring about the chal- lenges on resource utilization and manageability to data cen- ters. Many resource and runtime management systems are developed or evolved to address these challenges and rele- vant problems from different perspectives. This paper tries to identify the main motivations, key concerns, common fea- tures, and representative solutions of such systems through a survey and analysis. A typical kind of these systems is gener- alized as the consolidated cluster system, whose design goal is identified as reducing the overall costs under the quality of service premise. A survey on this kind of systems is given, and the critical issues concerned by such systems are sum- marized as resource consolidation and runtime coordination. These two issues are analyzed and classified according to the design styles and external characteristics abstracted from the surveyed work. Five representative consolidated cluster systems from both academia and industry are illustrated and compared in detail based on the analysis and classifications. We hope this survey and analysis to be conducive to both de- sign implementation and technology selection of this kind of systems, in response to the constantly emerging challenges on infrastructure and application management in data centers.