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70 SMT007 MAGAZINE I MAY 2018 and generate plenty of waste heat. Although most of the waste heat will be vented through the roof, due to the sheer number of chambers located in a single area of the floor, that area will always be hotter compared to the SMT lines. As stated earlier, the IIoT solution deployed in the factory was comprised of two elements: monitoring and controlling the tempera- ture/humidity to guarantee more uniformity and consistency across the entire floor; and secondly, permitting the remote control of all equipment that generates heat or consume more electricity/resources to be able to autonomously power them on/off based on production demand fore- casts/breaks, etc. Figure 7 shows the location where all 36 of the tempera- ture and humidity sensors were deployed on the floor ("stars" in Figure 7). They were strategically placed in between each pair of diffusers near the factory floor on an equal grid with two sensors between each 20m air duct line. As well, switch/contac- tors were attached to each AHU at the front of each air duct to permit for indepen- dent on/off control of each AHU. Figure 8 then shows all the pieces of equipment that had attached to them IIoT control hardware to allow for remote power consump- tion monitoring and control. This included: the SMT line ovens, the wave solder machines, the ICT testers and the environment stress chambers. Data Analytics So now that the factory floor was fully wired up to both gather temperature/ humidity data and control the hardware, the development of the logic necessary to intelli - gently control all the pieces of equipment had to be developed. This would be the next stage of the deployment of the IIoT energy solution. Temperature/humidity and existing equip- ment energy consumption information was now gathered for several months. A real-time web-based dashboard was developed as part of this to permit for easier visualization of all the data (Figure 9). Over a several-month period, the data was analyzed to permit control plans to be devel- Figure 8: IIoT control vs. line layout. Figure 9: Real-time dashboard web application.