Data capture requirements. The data capture system must be able to sample a sensor at a sample rate that is sufficient for the particular analysis to be performed. The exact value of the sample rate depends on what kind of analysis is to be performed, which is application specific. If the sensor is analog, the data capture system must be able to digitize the sensor signal at a precision that is good enough for the analysis, which again is application specific. The latency of the measurement data capture (including sampling and digitization) must be low enough to be able to keep up with the sample rate required by the analysis. The data capture system must be installable inside or in the absolute vicinity of the product containing the sensor(s) to be sampled. For mobile systems (e.g. vehicles) this means that the data capture system must move along with the system. As a consequence, the physical dimensions and power supply requirements must be compatible with the limitations imposed by the application and operating environment. The data capture system must have sufficient processing power to perform at least a simple filtering mechanism based on comparing each sample value with a binary mask and filter value defining which bits of the sample must match the filter value. The data capture system must have a sufficient amount of onboard memory to perform at least the data capture mentioned above and simple filtering mechanism and to communicate the data over a network connection with the properties described below. The data capture system must be programmable in a high-level programming language (e.g. C), and a software development kit must be available so that the data capture and primary filtering mechanisms required for the application can be developed by the SmartVortex partners. The data capture system must have an IP stack implementation and a network programming API (e.g. UNIX sockets). The data capture system must have a network interface providing IP (IPv4/6) network access with a bandwidth that is sufficient to communicate the captured sensor data in real time. This may be accomplished by using data compression techniques, if the data capture system has sufficient processing power for this. The layer 2 (MAC) technology of the network connection can be any technology that complies with the bandwidth and latency requirements of the application. It must be possible to produce such a data capture system at a price level that makes it possible to scale up the number of systems requ...
Data capture requirements. Each EV charger must have network communications that, at a minimum, provide the following information:
