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TISHITU Part-1 LM 35 temperature control via RS 232 Protocol By Visual Basic 6.0 , Proteus & Keil

2,043 views · Published 7 October 2012 · 12:12 · Indexed 1 October 2026

Channel: Tishitu · 2012 · Education

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In 1963, IBM produced computers which were specialized for data acquisition. These include the IBM 7700 Data Acquisition System and its 

successor, the IBM 1800 Data Acquisition and Control System. These expensive specialized systems were surpassed in 1974 by general 

purpose S-100 computers and data acquisitions cards produced by Tecmar/Scientific Solutions Inc. In 1981 IBM introduced the IBM 

Personal Computer and Scientific Solutions introduced the first PC data acquisition products.
Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples 

into digital numeric values that can be manipulated by a computer. Data acquisition systems (abbreviated with the acronym DAS or DAQ) 

typically convert analog waveforms into digital values for processing. The components of data acquisition systems include:
Sensors that convert physical parameters to electrical signals.
Signal conditioning circuitry to convert sensor signals into a form that can be converted to digital values.

Analog-to-digital converters, which convert conditioned sensor signals to digital values.
Data acquisition applications are controlled by software programs developed using various general purpose programming languages such as 

BASIC, C, Fortran, Java, Lisp, Pascal.
Specialized software tools used for building large-scale data acquisition systems include EPICS. Graphical programming environments 

include ladder logic, Visual C++, Visual Basic, and LabVIEW.
ISIS Schematic Capture - a tool for entering designs.
PROSPICE Mixed mode SPICE simulation - industry standard SPICE3F5 simulator combined with a digital simulator.
ARES PCB Layout - PCB design system with automatic component placer, rip-up and retry auto-router and interactive design rule checking.
VSM - Virtual System Modelling lets cosimulate embedded software for popular micro-controllers alongside hardware design.
Data acquisition begins with the physical phenomenon or physical property to be measured. Examples of this include temperature, light 

intensity, gas pressure, fluid flow, and force. Regardless of the type of physical property to be measured, the physical state that is 

to be measured must first be transformed into a unified form that can be sampled by a data acquisition system. The task of performing 

such transformations falls on devices called sensors.
A sensor, which is a type of transducer, is a device that converts a physical property into a corresponding electrical signal (e.g., a 

acquisition system to measure differing properties depends on having sensors that are suited to detect the various properties to be 

measured. Signal conditioning may be necessary if the signal from the transducer is not suitable for the DAQ hardware being used. The 

signal may need to be filtered or amplified in most cases. Various other examples of signal conditioning might be bridge completion, 

providing current or voltage excitation to the sensor, isolation, linearization. For transmission purposes, single ended analog 

signals, which are more susceptible to noise can be converted to differential signals. Once digitized, the signal can be encoded to 

reduce and correct transmission errors.
DAQ (Data acquisition )hardware is what usually interfaces between the signal and a PC[1]. It could be in the form of modules that can 

be connected to the computer's ports (parallel, serial, USB, etc.) or cards connected to slots (S-100 bus, AppleBus, ISA, MCA, PCI, 

PCI-E, etc.) in the motherboard. Usually the space on the back of a PCI card is too small for all the connections needed, so an 

external breakout box is required. The cable between this box and the PC can be expensive due to the many wires, and the required 

shielding.
DAQ cards often contain multiple components (multiplexer, ADC, DAC, TTL-IO, high speed timers, RAM). These are accessible via a bus by 

a microcontroller, which can run small programs. A controller is more flexible than a hard wired logic, yet cheaper than a CPU so that 

it is permissible to block it with simple polling loops. For example: Waiting for a trigger, starting the ADC, looking up the time, 

waiting for the ADC to finish, move value to RAM, switch multiplexer, get TTL input, let DAC proceed with voltage ramp.

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Please watch: "Lifi Communication by Arduino UNO Download Project" 
https://www.youtube.com/watch?v=c4gC8dbaiZg
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