Here, managing data being the prime task of Data-processing system, it is less applicable to the above system. All naturally happening systems are data processing systems, so that means what all we see is processed and interpreted by us so as to make it more relevant and useful. As far as our system is concerned, it is more of a spontaneous system rather than data related issues. The only information that needs to be kept is as the reference for examining values. Also, another useful thing is to make a log of all the different parameters such as pressure, temperature, etc, which can be really helpful in predicting the safe range for the above quantities. Generally, Data-processing system requires lot of storage capacity, but that's not the issue here. What is important here is the speed. Moving on to the next kind, Real-time Systems are the ones chasing the dead lines. They are called real time specifically because they work under a constrained environment, which deals with responsive attitude of the system. Real-time systems are designed for either real-time operating systems or other synchronous programming languages, which actually serve as a platform to build such immediate systems. These kinds of systems are really a challenge as they have a specific task to meet and if the software designed fails to deliver on time it's not of any worth. They are called real time specifically because they work under a constrained environment, which deals with responsive attitude of the system. ...
Our system deals with the naturally affecting factors such as pressure, friction, wear and tear and the work loss due to it. Such a system is definitely a real-time one. It has to take immediate care if any undue fluctuations are observed in the behavior of the system. For this to happen, a continuous monitoring is required. As described above, it is obviously a task to be performed in a constrained environment and it has a deadline and on missing the deadline the consequences can be expensive and destructive too. Moreover, when we are designing a system it should also take into account the pro and cons of it and then select the best combination for the product. This system would be an ideal one along with other ones working in the back up. (All the models of System Development Life Cycle)
Decision Support System
The next of the models is Decision support systems. This term is a very hazy one and this kind of system can be utilized variedly. Vaguely said, a Decision Support System is the one, which aids the process of decision-making. But, the developer, which actually designs it, only can define the clearer definition. Some of the explanations also suggest that Decision Support Systems or DSS can be used for the computer-based Information systems problems that are spontaneous or rather non-structured and deals with management issues. DSS can be of various characteristics based on the type of applications. A model-driven DSS would rather use the data provided by the users and it is an input to the system. Another of DSS is document-driven DSS which manages, gets back and manipulates unstructured information in different electronic formats. Finally