A Practical Data Processing Approach for Achieving Effective Management Control of Aircraft Manufacture

1966 ◽  
Author(s):  
Ben Gebhardt
Keyword(s):  
Data Processing ◽  
Management Control ◽  
Effective Management ◽  
Processing Approach

scholarly journals A Microtopographic Feature Analysis-Based LiDAR Data Processing Approach for the Identification of Chu Tombs

2017 ◽  
Vol 9 (9) ◽  
pp. 880 ◽  
Author(s):  
Shaohua Wang ◽  
Qingwu Hu ◽  
Fengzhu Wang ◽  
Mingyao Ai ◽  
Ruofei Zhong
Keyword(s):  
Data Processing ◽  
Feature Analysis ◽  
Lidar Data ◽  
Processing Approach

A high-bandwidth and low-cost data processing approach with heterogeneous storage architectures

2020 ◽  
Author(s):  
Bing Wei ◽  
Limin Xiao ◽  
Wei Wei ◽  
Yao Song ◽  
Baicheng Yan ◽  
...  
Keyword(s):  
Data Processing ◽  
Low Cost ◽  
Cost Data ◽  
Processing Approach ◽  
High Bandwidth

Bridge Crane Monitoring and Management Control System

2014 ◽  
Vol 644-650 ◽  
pp. 693-696 ◽  
Author(s):  
Jian Wei Leng ◽  
Bin Man
Keyword(s):  
Management Control ◽  
Working Environment ◽  
Bridge Crane ◽  
Effective Management ◽  
Noisy Environment ◽  
Time Data ◽  
Management Control System ◽  
Real Time Data ◽  
Management Method ◽  
Client Computer

In this paper, the monitoring and management system of bridge crane is developed. The various parameters in the system can be set via client computer, without facing the noisy environment to manage the equipment on site. Through a simple and efficient combination of hardware and software resources, working environment for the staff is improved and downsizing for efficiency is realized. At the same time, executives can keep abreast of the field operation and real-time data, and the system can strengthen the function of the communication between the machine equipment. Practice proves that the system is a kind of convenient, quick, safe and effective management method.

scholarly journals A data processing approach with built-in spatial resolution reduction methods to construct energy system models

2021 ◽  
Vol 1 ◽  
pp. 36
Author(s):  
Christian Etienne Fleischer
Keyword(s):  
Data Processing ◽  
Open Source ◽  
Spatial Resolution ◽  
Input Data ◽  
Energy System ◽  
System Modelling ◽  
System Models ◽  
Processing Approach ◽  
Open Source Data ◽  
Reduction Methods

Introduction: Data processing is a crucial step in energy system modelling which prepares input data from various sources into a format needed to formulate a model. Multiple open-source web-hosted databases offer pre-processed input data within the European context. However, the number of documented open-source data processing workflows that allow for the construction of energy system models with specified spatial resolution reduction methods is still limited. Methods: This paper presents a novel data processing approach to construct sector-coupled energy system models for European countries while maximising the use of existing web-hosted pre-processed data. Three power and heat optimisation models of Germany were constructed using different spatial resolution reduction methods. Results: Significant variation in generation, transmission and storage capacity of electricity were observed between the optimisation results of the energy system models. The results of the model that used administrative state boundaries to define regions were found to be sensitive to the omission of solar rooftop photovoltaic availability. Conclusions: This paper uses the proposed data processing approach to demonstrate the importance of spatial context when building and analysing power and heat optimisation models.

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