1 / 28

Ch 5 & 23

The term “data logging" describes the measurement, collection and storage of information from sensors over a period of time. Ch 5 & 23. Monitoring & Measurement. Objectives.

dex
Download Presentation

Ch 5 & 23

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The term “data logging" describes the measurement, collection and storage of information from sensors over a period of time Ch 5 & 23 Monitoring & Measurement

  2. Objectives • You should have an understanding of a range of ICT applications in everyday life and be aware of the impact of ICT in terms of measurement applications such as • Scientific experiments • Electronic timing • Environmental monitoring

  3. Sensors Monitoring Vs Control 1 • In both of these applications, sensors are used to send data to a computer where it is processed. • It’s what happens next where the differences occur! Processing… Next???

  4. Monitoring Vs Control 2 • In Control applications, the computer reviews data from the sensors against the data – parameters – stored in its memory • If the values are outside the given range, the computer takes action to try and get the values back within acceptable limits. • It does this by sending signals to devices controlling the processes – the actuators.

  5. Monitoring Vs Control 3 In monitoring, the computer simply reviews the data (by comparing it to the data stored in its memory) and then • It updates its files • It may give a warning signal… • But it doesn’t make any changes to the process

  6. Examples of Control • Controlling a chemical process • Controlling a nuclear reactor • Controlling a greenhouse environment • Controlling a central heating system • Controlling a set of traffic lights

  7. Examples of Monitoring • Monitoring a patient’s vital signs in hospital • Monitoring a scientific experiment in a lab • A burglar alarm system • Environmental monitoring (eg oxygen levels in a river)

  8. ADCs and DACs • Analogue data from sensors needs to be converted into digital data so that the computer can understand and process the data from the sensors. • If the computer sends signals to motors, valves etc, then this data must be converted back to analogue using a DAC.

  9. What do you need? • The basic equipment for computer-based measurement consists of • Sensors, • A data-logger • A computer. • Normally, the sensors are plugged into the data-logger circuit box which in turn is connected to the computer. • Optionally, a printer is also useful for printing out graphs on paper

  10. Sensors: • A normal PC has no way of knowing what is happening in the real world around it. It doesn’t know if it is light or dark, hot or cold, quiet or noisy. How do we know what is happening around us? We use our eyes, our ears, our mouth, our nose and our skin - our senses. • A normal PC has no senses, but we can give it some: We can connect sensors to it. • A sensor is a device that converts a real-world property (e.g. temperature) into data that a computer can process.

  11. What do sensors do? • A sensor measures a specific property data and sends a signal to the computer. Usually this is an analogue signal so it needs to be converted into digital data for the computer to process. This is done using by an Analogue-to-Digital Converter (ADC).Sensors are used extensively in monitoring / measuring / data logging systems, and also in computer control systems.

  12. Examples of sensors

  13. Sensors • The purpose of the sensor is to convert a physical quantity into an electrical signal which can be translated by the computer into numerical values and graphical images. • A wide variety of sensors are now available. • Temperature, • light intensity, • sound level, • relative humidity, • pH, • pulse (heart rate), • breathing, • wind speed, • and many more

  14. Where is Computer Measurement Used? • Anywhere that data needs to be gathered regularly, a computerized data-logging system can be used.

  15. Example 1: Scientific Experiments • Many experiments can be set-up and left to run with a data-logging system measuring things like the temperature of a liquid, acidity/alkalinity etc

  16. Example 2: Weather Stations • Often these are placed in very remote areas to collect data about rainfall, temperature, wind-speed, wind-direction, etc. • Massive amounts of data need to be gathered all day, every day. This data can then be used by weather forecasters to help predict the weather over the coming days.

  17. Example 3: Environmental Monitoring • Scientists are very concerned about the effect that humans are having on the environment. • Computer-based data-logging is often used to help gather evidence of these effects: • the level of water in a dam, • the speedof water flowing down a river, • the amount of pollution in the air, etc.

  18. Environmental Monitoring: an example Measuring oxygen levels in a river • Sensors read data from the river • Data is converted into digital using an ADC • Computer stores the received data • Oxygen levels/acidity levels/pollution levels are compared to historic data stored in the memory • Either: • Data is transferred to a CD/DVD/memory stick and taken away for analysis • OR computer is connected to mobile phone network and transmits the data automatically to the monitoring station

  19. Sensors read key vital signs: Pulse/heart rate Temperature Blood pressure Respiration Oxygenation etc Data from the sensors is converted using an ADC Example 6: A Hospital patient

  20. A Hospital patient • Data is stored in the computer’s memory • Computer compares the data from the sensors with the values stored in its memory • Results are output on a screen in the form of graphs, digital read-outs, printouts (usually using a plotter) • Alarm is activated if data is outside acceptable parameters

  21. Sensors used: Humidity; moisture; temperature; pH, Light Humidity sensor: Sends signal to an ADC which sends the digital signal to the computer Computer compares the input with stored values Decides what action needs to be taken If humidity is too high, computer sends signal to a DAC to operate the motors to open the window If humidity is too low, it sends a signal to open valves to spray water Example 5: A Greenhouse Environment

  22. Some chemical processes need precise conditions – eg temperature >70 and pH < 3.5 Temp & pH sensors read data from process Data converted to digital using ADC Computer compares data with stored limits Signals are sent as appropriate to DACs and then to actuators Example 6: A Chemical process

  23. There are different ways of data logging • Manual data logging (monitoring) • A science experiment where you record data once a minute • Automated data logging (monitoring) • Example: a weather station which operates 24 hours a day, 7 days a week • Remote data logging (monitoring) • Example: a sensor inside a volcano to detect temperature changes

  24. The common functions of a data-logging program • Take readings from the sensors at regular intervals. It is possible to take many readings at time intervals ranging from a few microseconds to hours or even days. • Present the data in a suitable form of display on the screen. This could take the form of tables of numerical values, large digits, bar charts or most commonly as conventional graphs. • Print the data table or graph on paper using a printer connected to the computer. • Store the data on a computer disc for future use.

  25. Why Use Computers to Measure Things? • Computers do not need to take breaks - they can log data all day, every day, without stopping • Response time if a parameter is out of range is faster • Computers take much more accurate readings than humans can • If a process is dangerous, it is better to monitor it or control it from a distance • Computers can take data readings more frequently (1000’s of times a second if necessary) • Computers don’t forget to take readings!

  26. Since the logged data is already in a computer, the data can be analysed more quickly and easily (graphs drawn instantly, etc.) • Warnings can be given very quickly (eg buzzers/sirens) • Data logging systems can operate in difficult environments (e.g. in the Arctic, or on top of a mountain) • People are free to do other more useful tasks (rather than watching a thermometer) • No risks to humans eg falling in to rivers

  27. Examples of live data from data logging • http://www.chimet.co.uk/ Click on more details to see what data is recorded • http://www.isleofwightweather.co.uk/station/Current_Vantage_Pro_Plus.htm Keep the page open and see if anything changes

More Related