Abnormal Analysis of Electricity Data Acquisition in Electricity Information Acquisition System

The acquisition of data on the state of the production process is essential in the management of a company. The ERP system, as well as company management, should be continuously supplied with up-to-date information about the state of the production system, but in many cases there is a gap between the business and manufacturing layers of a company. Data on the state of production orders, machines, materials and human resources have to be automatically acquired, transmitted, archived, pre-processed and converted to a form compatible with business layer systems. There is a need for the development of methodology, describing methods of data acquisition and pre-processing directly from the shop floor. The methodology should be universal, covering the needs of different types of technological processes (discrete, continuous, batch), branches of industry and levels of production automation, etc. This paper presents the methodology of the development of Manufacturing Information Acquisition System (MIAS) covering needs for automated data acquisition, archiving and pre-processing systems, able to provide on-line production processes information for various clients. MIAS can be used as a link between data sources, MES/ERP systems and company management. Furthermore, it can be used as a stand-alone management information tool.

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Research on Synchronization Technology of Geological Data Acquisition System Based on NFC and Mobile Internet

Journal of Circuits System and Computers ◽

10.1142/s0218126618502250 ◽

2018 ◽

Vol 27 (14) ◽

pp. 1850225 ◽

Cited By ~ 1

Author(s):

Shijie Peng ◽

Zhiting Zhang ◽

Chonglong Wu ◽

Gang Liu

Keyword(s):

Data Acquisition ◽

System Integration ◽

Information Acquisition ◽

Data Exchange ◽

Data Gathering ◽

Field Investigation ◽

Mobile Internet ◽

Acquisition System ◽

Technology System ◽

Rich Data

This system effectively realizes the end-to-end data exchange and the data gathering from each terminal to the Geological Gathering Cloud (GGC). It is accomplished through QuantyML a private synchronization protocol reference SyncML and based on Json. It also provides high precision, high reliable positioning, navigation services to achieve meter level positioning through beidou navigation system and the visual data acquisition UI in the light of the mobile GIS map service technology. System integration and automation of scattered geological entities through the field investigation of the management, to facilitate the detailed description and accurate record of the collection content, provide rich data support for subsequent geological research. This paper introduces the design and realization of Mineral Information Acquisition System (MIAS), emphatically introduces the design principle QuantyML protocol based on Json and its implementation details.

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The Realization of the Information Acquisition System for Fiber-Capacitive Drop Analyzer

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.317-319.1219 ◽

2011 ◽

Vol 317-319 ◽

pp. 1219-1222

Author(s):

Qing Song ◽

Zi Lan Chen ◽

Yuan Luo ◽

Jie Li ◽

Cun Wei Zou ◽

...

Keyword(s):

Data Acquisition ◽

Information Acquisition ◽

Acquisition System ◽

Virtual Instrumentation ◽

Dual Channel ◽

Analysis Technique ◽

Data Acquisition Card ◽

Dynamic Linking ◽

Dynamic Library ◽

Capacity Drop

This article combines the virtual instrumentation with the droplet analysis technique. According to the characters of the signal collected by the fiber capacity drop analyzer, the system employs dual channel acquisition. The design of the interface program is completed by invoking the Dynamic Library files of the data acquisition card, taking the advantages of the dynamic linking technology of LABVIEW. Friendly interface is designed. And the functions, such as data acquisition, display and save, are realized. The information acquisition system for the fiber capacitive drop analyzer is finally achieved by LABVIEW.

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Case Study of Manufacturing Information Acquisition System (MIAS) in Automated Continuous Production System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.657.808 ◽

2014 ◽

Vol 657 ◽

pp. 808-812 ◽

Cited By ~ 9

Author(s):

Grzegorz Ćwikła ◽

Cezary Grabowik ◽

Witold Janik

Keyword(s):

Data Acquisition ◽

Production System ◽

Information Acquisition ◽

Continuous Production ◽

Treatment Plant ◽

The State ◽

Acquisition System ◽

It Systems ◽

Manufacturing Information

Real-time information feed describing the state of production system is the key to successful management of any company, because up-to-date information is necessary basis for decision making in company operating on globalised market. Data describing the state of the production system should be collected in the manufacturing system, pre-processed, interpreted, filtered, archived and finally, either used in IT systems supporting company management (MES, ERP), or directly presented to crew and managers responsible for specific areas of interest. Possibility of data acquisition in companies strongly depends on specific of branch of industry, technological processes automation level, number of operations performed manually, type of production, etc. Acquisition of data on state of the production system should be carried-on automatically, without involvement of workers. This paper presents overall description of issues of data acquisition in company, proposed Manufacturing Information Acquisition System (MIAS) and the case study of data acquisition in company leading continuous, automated production processes Central Wastewater Treatment Plant (WWTP) in Gliwice, Poland.

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Semi-Automated Data Acquisition for Management of the Company in Non-Automated Production System – Case Study

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.809-810.1510 ◽

2015 ◽

Vol 809-810 ◽

pp. 1510-1515

Author(s):

Grzegorz Ćwikła ◽

Cezary Grabowik ◽

Krzysztof Kalinowski ◽

Witold Janik

Keyword(s):

Data Acquisition ◽

Production System ◽

Information Acquisition ◽

Data Acquisition System ◽

Acquisition System ◽

Time Data ◽

Support Design ◽

Level Of Automation ◽

Automated Data Acquisition

This paper presents case study of data acquisition in non-automated discrete production system. The issue of acquisition of data from the production system in order to support company management is essential for the integration of business and manufacturing areas of the company. Properly organized data acquisition system, consisting of hardware, software and organizational solutions, should provide access to real-time data on production tasks, flow of materials and work in progress, usage and effectiveness of workers and equipment, and the quality of production. Availability of data depends on type of production system, more precisely on the level of automation of technological processes. The Manufacturing Information Acquisition System (MIAS) methodology has been used in order to support design of the data acquisition system for the company producing large tanks, in which there is no automated equipment and most of production operations are realised manually. The algorithm of acquiring data from workers, organisational solutions and data processing in developed “Mistrz” IT system has been described, as well as problems with MIAS encountered during system operation in early stages of introduction.

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