Research on Data Storage Algorithm Based on Metallurgy Control System

2017 ◽  
pp. 481-488
Author(s):  
Zhen Pan ◽  
Hongkun Yao ◽  
Han Zhang
Keyword(s):  
Control System ◽  
Data Storage

Conflict and Hidden Trouble of Distributing Misplay at Memory Resources

2013 ◽  
Vol 423-426 ◽  
pp. 2707-2711
Author(s):  
Hua Shu Yang ◽  
Yi Wang ◽  
Yu Lu Yang ◽  
Xin Long Peng ◽  
Xue Peng Wang ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Control System ◽  
Automatic Control ◽  
Data Storage ◽  
Automatic Control System ◽  
System Function ◽  
Memory Resources

Resources of memory are frequently used times without number for reducing cost of control system. Rewriting in memory would cause occasional hardware conflict when especial data are inputted or are calculated, thereby system faults even accidents are elicited. Origin of occasional malfunction was analysed in automatic control system, necessity of program storage separate from data storage was discussed, and the notion was put forward that resource allocation of memory should be compatible with the system function. So dead halt owing to codes cover each other could be avoided, and reliability of measurement or control system could be effectively improved.

scholarly journals Development of a model for the management of environmental safety of the region, taking into account of the GIS capacity

2018 ◽  
Vol 193 ◽  
pp. 02038 ◽  
Author(s):  
Viacheslav Burlov ◽  
Andrey Andreev ◽  
Fedor Gomazov
Keyword(s):  
Information System ◽  
Control System ◽  
Data Storage ◽  
Storage System ◽  
Practical Interest ◽  
Environmental Safety ◽  
Environmental Data ◽  
System Control ◽  
Results Management ◽  
The Impact

The system of space monitoring (SM) is of great importance, as a means of ensuring environmental safety. This system is based on remote sensing. The structure of SM is a distributed system. This system comprises independent data storage, system control, system of dynamic ratings, capacity and forecasting, control system, information system (IS) processing of monitoring data. As IS it is necessary to choose a geographic information system (GIS). IS monitoring refers to the problem-oriented system. These information systems include specialized databases models. All monitoring systems use sets of models, which allow building complex enterprise models. The peculiarity of the SM is the need to coordinate support of this monitoring and rate of the GIS capacity. Production Manager's decision is the impact on the object of monitoring. Results management and environmental data are received at the monitoring subsystem. Integration of SM and GIS monitoring has led to the creation of geoinformation space monitor (GISM). The operation of the system GISM is designed to provide a guaranteed result taking into account the capacity. Basis – the decision of the decision makers (DM). Therefore, an independent scientific and practical interest is the adequate mathematical model of DM.

scholarly journals CONFIDENT - Met Norway’s plan for a new quality control system

2021 ◽  
Author(s):  
Hans Olav Hygen ◽  
Abigail Louise Aller ◽  
Anette Lauen Borg ◽  
Line Båserud ◽  
Louise Oram ◽  
...  
Keyword(s):  
Quality Control ◽  
Control System ◽  
Data Storage ◽  
Current System ◽  
Rapid Change ◽  
Current Data ◽  
Quality System ◽  
Quality Control System ◽  
Observational Station ◽  
To Receive

<p>The meteorological observation networks are in rapid change. Among other trends, these changes include: increased frequency in observations, increased spatial resolution of observations, and increased heterogeneity in observation platforms. These changes challenge the current data storage and quality control. MET Norway has implemented a new data storage, ODA, to be able to receive a significant amount more data. </p><p>A significant challenge is that the current quality system doesn’t scale to the new world of observations. The current quality control system is not built to be modular, thus requires significant work to integrate improvements.</p><p>MET Norway is rising to the challenge of the new observation structure and storage renewing the handling of observational networks and the quality control system. Previously there have been strict criteria on how MET Norway should handle data from an observational station, this is changing with the emergence of new, cheap observational platforms. To accommodate this we are structuring the handling of the station in a hierarchical system where some stations will have fully populated metadata and be treated at the highest level, whilst others will have less information down to unknown stations with unknown setup, e.g. Netatmo.</p><p>The new quality control system will be modular to ensure the ability to change and upgrade different parts. One major module of the system is an in-house developed library for spatial quality control, Titan (presented at EMS 2019).</p><p>Unlike the present quality control, which is a separate entity to the data storage, CONFIDENT will be built to use ODA as data storage to ensure the best information is available for users and CONFIDENT at all times. We are also working on how we can integrate other software performing quality control of the data, e.g. for assimilation.</p><p>The project is planned to start in the autumn of 2021 for three years. Spring of 2021 was used to map relevant activities and modules as the foundation of the planned development of the new system. The plan is not to change the current quality system in one go, but to start implementing the different modules in 2022, and phasing out the current system throughout the project period of three years.</p>

scholarly journals Integrated Technologies of Blockchain and Biometrics Based on Wireless Sensor Network for Library Management

2020 ◽  
Vol 39 (3) ◽  
Author(s):  
Meng-Hsuan Fu
Keyword(s):  
Control System ◽  
Data Storage ◽  
Radio Frequency Identification ◽  
User Authentication ◽  
Smart Cards ◽  
Wireless Sensor ◽  
Library Collection ◽  
Library Management ◽  
The Status ◽  
Iot Devices

The Internet of Things (IoT) is built on a strong internet infrastructure and many wireless sensor devices. Presently, Radio Frequency Identification embedded (RFID-embedded) smart cards are ubiquitous, used for many things including student ID cards, transportation cards, bank cards, prepaid cards, and citizenship cards. One example of places that require smart cards is libraries. Each library, such as a university library, city library, local library, or community library, has its own card and the user must bring the appropriate card to enter a library and borrow material. However, it is inconvenient to bring various cards to access different libraries. Wireless infrastructure has been well developed and IoT devices are connected through this infrastructure. Moreover, the development of biometric identification technologies has continued to advance. Blockchain methodologies have been successfully adopted in various fields. This paper proposes the BlockMetrics library based on integrated technologies using blockchain and finger-vein biometrics, which are adopted into a library collection management and access control system. The library collection is managed by image recognition, RFID, and wireless sensor technologies. In addition, a biometric system is connected to a library collection control system, enabling the borrowing procedure to consist of only two steps. First, the user adopts a biometric recognition device for user authentication and then performs a collection scan with the RFID devices. All the records are recorded in a personal borrowing blockchain, which is a peer-to-peer transfer system and permanent data storage. In addition, the user can check the status of his collection across various libraries in his personal borrowing blockchain. The BlockMetrics library is based on an integration of technologies that include blockchain, biometrics, and wireless sensor technologies to improve the smart library.

A novel tracking control method for the distributed-drive and active-steering articulated virtual rail train

2021 ◽  
pp. 095965182110274
Author(s):  
Dehua Zhang ◽  
Caijin Yang ◽  
Weihua Zhang ◽  
Yao Cheng
Keyword(s):  
Control System ◽  
Data Storage ◽  
Tracking Control ◽  
Control Method ◽  
Trajectory Generation ◽  
Front Axle ◽  
Steering Control ◽  
Differential Distribution ◽  
Target Trajectory ◽  
Active Steering

To realize the running control of distributed-drive and active-steering articulated virtual rail trains travelling on urban roads under non-contact virtual rail constraints, target trajectory generation and active-steering control are crucial issues. In this article, a novel tracking control method is proposed, which includes a dynamic target trajectory generation and a new active-steering tracking control system. First, a distributed-drive and active-steering articulated virtual rail train kinematics model with n-sections is derived, and then a new target trajectory generation method is proposed using data filtering and compression, coordinate transformation and spline difference, and the simulation comparison shows that the proposed method has less data storage space and high computational efficiency. Second, a new active-steering tracking control system composed of a rear axle preview active-steering controller, a front axle coordinated steering controller, and a differential-distribution controller is designed to achieve tracking control and coordinated movement of distributed-drive and active-steering articulated virtual rail train. Finally, a distributed-drive and active-steering articulated virtual rail train simulation model was constructed in ADAMS, and then simulations are performed under three rail conditions and compared with the other two methods, which show that the proposed method has good tracking control accuracy, adaptability, and superiority under various rails and different speeds.

Optical Feedback Height Control System Using Laser Diode Sensor for Near-Field Data Storage Applications

2007 ◽  
Vol 25 (12) ◽  
pp. 3704-3709 ◽  
Author(s):  
Jen-Yu Fang ◽  
Chung-Hao Tien ◽  
Han-Ping D. Shieh ◽  
Philipp Herget ◽  
James A. Bain ◽  
...  
Keyword(s):  
Control System ◽  
Data Storage ◽  
Laser Diode ◽  
Field Data ◽  
Optical Feedback ◽  
Near Field ◽  
Height Control

The Research and Development of Automotive Engine Test Platform

2012 ◽  
Vol 433-440 ◽  
pp. 595-599
Author(s):  
Li Rong Qu ◽  
Dan Ya He
Keyword(s):  
Control System ◽  
Research And Development ◽  
Data Storage ◽  
Virtual Instrument ◽  
Analysis Data ◽  
Waveform Analysis ◽  
Electronic Control ◽  
Automotive Engine ◽  
Engine Control System ◽  
Electronic Control System

This article describes the vehicle based on virtual instrument engine control system research and development of the experimental platform. Virtual instrument technology combined with artificial intelligence inference mechanism for the establishment of a virtual instrument based on the engine electronic control system testing and fault diagnosis system, to achieve the electronic control engine system sensors online test, waveform analysis, data storage, replay and failure diagnosis.

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