The ORPHEE versatile low-cost multiprocessor system for data acquisition and control of neutron spectrometers

In the present IT age, we are in need of fully automated industrial system. To design of Data Acquisition System (DAS) and its control is a challenging part of any measurement, automation and control system applications. Advancement in technology is very well reflected and supported by changes in measurement and control instrumentation. To move to highspeed serial from Parallel bus architectures has become prevalent and among these Ethernet is the most preferred switched Serial bus, which is forward-looking and backwardcompatible. Great stride have been made in promoting Ethernet use for industrial networks and factory automation. The Web based distributed measurement and control is slowly replacing parallel architectures due to its non-crate architecture which reduces complexities of cooling, maintenance etc. for slow speed field processing. A new kind of expandable, distributed large I/O data acquisition system based on low cost microcontroller based electronic web server[1] boards has been investigated and developed in this paper, whose hardware boards use 8-bit RISC processor with Ethernet controller, and software platform use AVR-GCC for firmware and Python for OS independent man machine interface. This system can measure all kinds of electrical and thermal parameters such as voltage, current, thermocouple, RTD, and so on. The measured data can be displayed on web pages at different geographical locations, and at the same time can be transmitted through RJ-45 Ethernet network to remote DAS or DCS monitoring system by using HTTP protocol. A central embedded single board computer (SBC) can act as a central CPU to communicate between web servers automatically.

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Development of Low-Cost Microcontroller-Based Interface for Data Acquisition and Control of Microbioreactor Operation

Journal of Laboratory Automation ◽

10.1177/2211068215594770 ◽

2016 ◽

Vol 21 (5) ◽

pp. 660-670 ◽

Cited By ~ 4

Author(s):

Abdul Rashid Husain ◽

Yaser Hadad ◽

Muhd Nazrul Hisham Zainal Alam

Keyword(s):

Data Acquisition ◽

Low Cost ◽

And Control

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Application of Intelligence Control in Agriculture Greenhouses

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.719-720.293 ◽

2015 ◽

Vol 719-720 ◽

pp. 293-297 ◽

Cited By ~ 1

Author(s):

Hui Guo Lu ◽

Cong Ying Li ◽

Juan Ping Jiang

Keyword(s):

Data Acquisition ◽

Large Scale ◽

Low Cost ◽

Information Access ◽

Intelligent Monitoring ◽

Communication Technique ◽

Using Data ◽

National Industry ◽

And Control ◽

Greenhouse Control

Agriculture is the foundation of the national economy, and the guarantee of national industry. Greenhouse can grow counter-season production of crops and bring higher profits to farmers. But in our country the informatization level of agricultural is low. By using data acquisition technology, wireless communication technique and computer technology, this project can make intelligent monitoring, management and control of the large-scale plastic greenhouse come true and make agricultural information access and remote data transmission and exchange automated. The project is of simple circuit, low cost, good maintainability, and the expected results (the management of the greenhouse control) is operating conveniently and hommization, which can reduce a lot of manual work. It is expected to be widely popularized in agricultural plastic greenhouses in China. Key words:Intelligent Agriculture; Automation; Data acquisition; Sensors;

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pyPhotometry: Open source Python based hardware and software for fiber photometry data acquisition

10.1101/434225 ◽

2018 ◽

Author(s):

Thomas Akam ◽

Mark E. Walton

Keyword(s):

Data Acquisition ◽

Open Source ◽

Low Cost ◽

Excitation Light ◽

Signal Validation ◽

Data Acquisition Board ◽

Wide Range ◽

Open Source Hardware ◽

And Control ◽

Led Drivers

Fiber photometry is the process of recording bulk neural activity by measuring fluorescence changes in activity sensitive indicators (e.g. GCaMP) through an optical fiber. We present a system of open source hardware and software for fiber photometry data acquisition consisting of a compact, low cost, data acquisition board built around the Micropython microcontroller, and a cross platform graphical user interface (GUI) for controlling acquisition and visualising signals. The system can acquire two analog and two digital signals, and control two external LEDs via built in LED drivers. Time-division multiplexed illumination allows independent readout of fluorescence evoked by different excitation wavelengths from a single photoreceiver signal. Validation experiments indicate this approach offers better signal to noise for a given average excitation light intensity than sinusoidally-modulated illumination. pyPhotometry is substantially cheaper than commercial hardware filling the same role, and we anticipate, as an open source and comparatively simple tool, it will be easily adaptable and therefore of broad interest to a wide range of users.

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