China’s Three Gorges Reservoir Area of Intelligent Substation Project Supervision Work Method Is Discussed in This Paper

The ecological environment promotes the construction of smart grids, while the smart substation is the key to the construction of smart grids. Based on the supervision of the Zigui 220 KV smart substation project in the Three Gorges Reservoir Region of China, this paper studies how to well create the supervision for the smart substation project construction. With the research focus of “four-control, two-management and one-coordination” in the supervision and according to the problems and experience in the project construction, some reasonable suggestions are put forward, and then the accumulated methods and experience by supervisors when they are engaged in the supervision for the smart substation project construction are summarized.

Comparison between Chinese Supervision Enterprise and International Project Management Enterprise

With the entrance into WTO, the Chinese supervision enterprises face the serious challenge never existed before. Comparing with other type enterprises Chinese supervision enterprises nature of China are the same as project management companies in connotation and service scope in nature. They have much superiority in development of the project management work. Through comparing and analyzing the special feature between Chinese supervision enterprise and international project management enterprise, this paper points out the gap between them, and table the proposal of they transforming to the project management enterprises.

Supervised local and non-local structure preserving projections with application to just-in-time learning for adaptive soft sensor

In soft sensor field, just-in-time learning(JITL) is an effective approach to model nonlinear and time varying processes. However, most similarity criterions in JITL are computed in the input space only while ignoring important output information, which may lead to inaccurate construction of relevant sample set. To solve this problem, we propose a novel supervised feature extraction method suitable for the regression problem called supervised local and non-local structure preserving projections(SLNSPP), in which both input and output information can be easily and effectively incorporated through a newly defined similarity index. The SLNSPP can not only retain the virtue of locality preserving projections but also prevent faraway points from nearing after projection,which endues SLNSPP with powerful discriminating ability. Such two good properties of SLNSPP are desirable for JITL as they are expected to enhance the accuracy of similar sample selection. Consequently, we present a SLNSPP-JITL framework for developing adaptive soft sensor, including a sparse learning strategy to limit the scale and update the frequency of database. Finally, two case studies are conducted with benchmark datasets to evaluate the performance of the proposed schemes. The results demonstrate the effectiveness of LNSPP and SLNSPP.

Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project Management

Modern international project management has entered the phase of precise and accurate project management after the global financial crisis broke out at the beginning of the 21 stcentury. However, its development has faced new challenges since there has been lack of explicitly unanimous definition for the capability dimensions of precise and accurate project management, as well as the models and their process control parameters. The required core capabilities based on the precise and accurate project management for various rings are involved in the project life cycle, namely, the required internationally core competences and their components for the phases of project strategic planning and decision making in the early project phase, as well as the value engineering, and the project supervision and controls during the execution phase.Through studying the effects of the internationally core competences based on precise and accurate project management capabilities for the success and excellence of projects and configuring such models, the goal is to help the main contractors continuously obtain project success and excellence, thus improve its internationally core competences with continuous project success and excellence.