LabVIEW, short for Laboratory Virtual Instrument Engineering Workbench, was created in 1986 by Jeff Kodosky and a team at National Instruments. LabVIEW is a graphical programming environment used for data acquisition, instrument control, test automation, and industrial measurement systems. It is widely used in engineering, research laboratories, and industrial automation. Developers can access LabVIEW through National Instruments’ official platform: LabVIEW, which provides the development environment, virtual instrument libraries, and deployment tools for Windows, macOS, and Linux.

LabVIEW exists to provide an intuitive, visual approach to programming complex measurement and control systems. Its design philosophy emphasizes graphical representation of data flow, ease of integration with hardware, and modularity. By using visual “wires” to connect virtual instruments (VIs), LabVIEW solves the problem of writing complex low-level code for hardware interfacing, enabling engineers and scientists to focus on system behavior and analysis rather than syntax.

LabVIEW: Virtual Instruments and Front Panels

LabVIEW programs are called virtual instruments (VIs), which consist of a front panel for user interface elements and a block diagram that defines program logic. Front panels include controls, indicators, and graphs for visualization.

-- Conceptual block diagram example
ReadSensor(&sensorValue)
Multiply(&sensorValue, 2, &result)
Display(result)

Data flows along graphical wires connecting VIs. This visual, flow-based programming enables users to understand program logic easily, conceptually similar to dataflow in Simulink and visual scripting in Scratch.

LabVIEW: Data Flow and Control Structures

LabVIEW operates using a dataflow model, where execution depends on data availability rather than sequential lines of code. Loops, case structures, and sequence structures manage program control.

-- Pseudocode for loop structure
FOR i = 1 TO 10
    ReadSensor(&value)
    Accumulate(&value, &total)
END_FOR

Loops and conditional structures process data streams in real time, making control of instruments and measurements deterministic and predictable. This model is similar to iterative constructs in MATLAB and structured loops in Lua.

LabVIEW: Signal Processing and Analysis

LabVIEW includes extensive libraries for signal processing, mathematics, and visualization. Users can acquire, filter, analyze, and display data using built-in VIs.

-- Conceptual signal processing example
data = AcquireSignal(sensor)
filtered = LowPassFilter(data, 100Hz)
PlotGraph(filtered)

These tools allow engineers to implement real-time analysis without manual coding of algorithms. Conceptually, this is similar to numerical operations in MATLAB or array manipulations in Python.

LabVIEW: Modularity and SubVIs

LabVIEW supports modularity through SubVIs, which are reusable virtual instruments encapsulating specific functionality.

-- Conceptual SubVI usage
SubVI_MotorControl(InputParameters, &MotorStatus)

SubVIs encapsulate logic for reuse and maintainability. This modular approach is conceptually similar to functions in Python or function blocks in PLC.

LabVIEW is widely used in engineering and research for data acquisition, automation, and instrument control. Its graphical programming paradigm, virtual instruments, dataflow execution, and modular SubVIs allow engineers to prototype, analyze, and control complex systems efficiently. When paired with Simulink, MATLAB, and Lua, LabVIEW provides a robust environment for visual programming, real-time data analysis, and system-level automation.

VI
Node
Connector