ASSESSMENT OF FOREST ECOSYSTEM HEALTH BASED ON FUZZY EVALUATION METHOD-A CASE STUDY OF FOREST ECOSYSTEM IN LIANGSHUI NATURAL RESERVE

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

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EXPLORING THE POTENTIAL OF EO DATA AND GIS FOR ECOSYSTEM HEALTH MODELING IN RESPONSE TO WILDFIRE: A CASE STUDY IN CENTRAL GREECE

Environmental Engineering and Management Journal ◽

10.30638/eemj.2018.215 ◽

2018 ◽

Vol 17 (9) ◽

pp. 2165-2178 ◽

Cited By ~ 1

Author(s):

George P. Petropoulos ◽

Aaron Evans ◽

Salim Lamine ◽

Dionissios P. Kalivas

Keyword(s):

Ecosystem Health ◽

Central Greece

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Sugar factory audits, debottlenecking and efficiency improvement

Sugar Industry ◽

10.36961/si25179 ◽

2020 ◽

pp. 607-612

Author(s):

Bernard Coûteaux

Keyword(s):

Evaluation Method ◽

Predictive Modelling ◽

Cane Sugar ◽

Sugar Factory ◽

Low Energy Consumption ◽

Process Simulations ◽

Capital Efficiency ◽

Potential Improvement ◽

Primary Focus

This paper elaborates on the key solutions offered by De Smet Engineers & Contractors (DSEC) to optimize the efficiency of cane sugar producing and processing facilities. In order to meet customer needs, DSEC offers proprietary predictive models built using the latest versions of specialized software. These models allow factory managers to envision the whole picture of increased operational and capital efficiency before it becomes reality. An integrated energy model and the CAPEX/OPEX evaluation method are discussed as ways to estimate and optimize costs, both for new greenfield projects and revamping of existing factories. The models demonstrate that factory capacities can be successfully increased using equipment that is already available. Special attention is paid to crystallization and centrifugation process simulations and the potential improvement of the global energy balance. One case study shows the transformation of a beet sugar factory into a refinery to process raw cane sugar after beet crop season and the second case shows the integration of a refinery into a cane sugar factory. The primary focus of the article is optimization of the technological process through predictive modelling. DSEC’s suggested solutions, which lead to great improvements in a plant’s efficiency and its ability to obtain very low energy consumption, are discussed.

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The Rapid Iterative Test and Evaluation Method (RITE)

10.1093/oso/9780198794844.003.0013 ◽

2018 ◽

Cited By ~ 1

Author(s):

Michael C. Medlock

Keyword(s):

Evaluation Method ◽

Test And Evaluation ◽

Original Case ◽

Definition Of

This chapter begins with a discussion of the philosophy and then definition of the RITE method. It then delves into the benefits of this method and provides practical notes on running RITE tests effectively. The chapter concludes with an overview of the original case study behind the 2002 article documenting this method.

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