Sensors, Instrumentation and Control Assignment Help

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MP4706 Sensors, Instrumentation and Control Assignment

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Learning Outcomes -

LO1 - Demonstrate knowledge and critical understanding of sensors and transducers typically encountered in engineering applications.

Answer: Sensors and transducers are fundamental components in engineering applications, converting physical phenomena into electrical signals that can be processed and analyzed. They play a crucial role in various fields, from manufacturing and automation to environmental monitoring and healthcare.
Sensors detect physical quantities like temperature, pressure, displacement, acceleration, and light intensity, while transducers convert these quantities into electrical signals. Common examples include thermocouples (temperature), strain gauges (strain), photodiodes (light), and accelerometers. The choice of sensor or transducer depends on the specific application and the desired accuracy and sensitivity. Understanding the principles, characteristics, and limitations of these devices is essential for engineers to design and implement effective systems.

LO2 - Understand critically the practical aspects of sensor use and type.

Answer: The practical aspects of sensor use and type are crucial for ensuring accurate and reliable measurements. Factors such as sensor selection, installation, calibration, and maintenance are essential considerations. Choosing the right sensor involves understanding its operating range, accuracy, resolution, and environmental tolerance. Proper installation is vital to minimize noise and interference, while calibration ensures that the sensor provides accurate readings. Regular maintenance, including cleaning and recalibration, helps to maintain sensor performance over time. Additionally, data acquisition systems and signal processing techniques are used to collect and analyze sensor data, providing valuable insights for various engineering applications.

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LO3 - Demonstrate knowledge and critical understanding of the principles of instrumentation and measurement systems.

Answer: Instrumentation and measurement systems are essential for quantifying physical phenomena and processes. They involve the use of sensors, transducers, signal conditioning circuits, and data acquisition systems. Fundamental principles underlying these systems include measurement uncertainty, error analysis, signal conditioning techniques, and data acquisition methods. Understanding these principles is crucial for designing accurate and reliable measurement systems.
Measurement uncertainty refers to the range of values within which the true value of a measurement is expected to lie. It is influenced by factors such as sensor accuracy, calibration, and environmental conditions. Error analysis involves identifying and quantifying potential sources of error in a measurement system, such as systematic errors and random errors. Signal conditioning techniques, such as amplification, filtering, and analog-to-digital conversion, are used to prepare sensor signals for processing and analysis. Data acquisition systems collect, store, and process measurement data, providing valuable information for decision-making and control.

LO4 - Demonstrate knowledge and critical understanding in the devise of an appropriate and effective strategy for processing data; virtual instrumentation and virtual simulation.

Answer: Data processing strategies are essential for extracting meaningful information from sensor data. Techniques such as signal processing, data filtering, feature extraction, and statistical analysis are commonly employed. Signal processing techniques, like Fourier transforms and filtering, can be used to remove noise and isolate relevant components of the signal. Feature extraction involves identifying specific characteristics of the data, such as frequency, amplitude, or shape, that can be used for analysis or classification. Statistical analysis methods, such as correlation and regression, can be used to quantify relationships between variables and make predictions.
Virtual instrumentation and virtual simulation offer powerful tools for designing, testing, and optimizing measurement systems. Virtual instrumentation software allows engineers to create custom measurement setups using virtual instruments, without the need for physical hardware. This enables rapid prototyping and experimentation, reducing development time and costs. Virtual simulation involves creating computer models of physical systems to simulate their behavior under different conditions. This can be used to predict system performance, identify potential problems, and optimize designs.

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Assessment Task - 'Global-Technologies', is a system engineering company that develops measurement systems for different industries to support a wide range of applications.

You have been asked as an engineer in the 'Global- Technologies' company, to design and develop a measurement system that is able to demonstrate the operation of crane 'Load Moment Indicator' (LMI) system using sensors model. The measurement system includes the measurement of crane boom length, boom angle, load, outrigger position, and driver cabinet temperature.

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Provide a detailed, professional report for your director that contains the following:

Part 1 - A review of different LMI systems used in cranes industry including their main elements.

Part 2 - A design of a typical LMI system that incorporates the measurement of crane parameters including boom length, boom angle, load, outriggers position, and temperature. The system design should include DAD/ microcontroller and any other required elements for a typical LMI system.

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Part 3 - A measurement software program (LabVIEW/ C++) that can be used to provide the following parameters, log the measurement data, and give warning alarms when limits of the following parameters are exceeded.

i. Boom length

ii. Outriggers position

iii. Load

iv. Driver cabinet temperature

Part 4 - Experimental results and critical analysis that evaluate two sensors of the LMI system using the NI DAD and NI LabVIEW software.

Part 5 - An evaluation of signal conditioning elements that are required to measure the load using strain gauges.

Part 6 - Proposal for the next phases of development to include the following:

i. Using of a low-cost controller instead of the current one.

ii. Other methods of data transmissions; wireless or wired data transmission, and use of the Internet of Things.

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