Data Acquisition & Analytics

Data Acquisition (DAQ) 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.

DAQ typically converts analog waveforms into digital values for easy processing. A DAQ system consists of sensors, DAQ measurement hardware, and a computer with programmable software.

The DAQ market is expected to grow from an estimated $ 2.26 Billion in 2014 to $ 3.03 Billion in 2020 at a CAGR of 6.07%

OBJECTIVES:

• DAQ must acquire the necessary data, at correct speed and at correct time.
• It must monitor the complete plant operation to maintain on-line optimum and safe operations.
• It must be able to collect, summarize and store data for diagnosis of operation and record purpose.
• It must be flexible and capable of being expanded for future requirements.
• It must be able to compute unit performance indices using on-line, real time data.
• It must be reliable, easy to operate and must be user friendly, and not have a down time greater than 0.1%.

ADVANTAGES:

• Reduced data redundancy
• Reduced updating errors and increased consistency
• Greater data integrity and independence from applications programs
• Improved data access to users through use of host and query languages
• Improved data security
• Reduced data entry, storage, and retrieval costs
• Facilitated development of new applications program