Explore chapters and articles related to this topic
Analog to Digital and Realtime Clocks
Published in Julio Sanchez, Maria P. Canton, Microcontroller Programming, 2018
Julio Sanchez, Maria P. Canton
Programming the A/D module consists of the following steps: Configure the PIC I/O lines to be used in the conversion. All analog lines are initialized as input in the corresponding TRIS registers.Select the ports to be used in the conversion by setting the PCFGx bits in the ADCON1 register. Selects right- or left-justification.Select the analog channels, select the A/D conversion clock, and enable the A/D module.Wait the acquisition time.Initiate the conversion by setting the GO/DONE bit in the ADCON0 register.Wait for the conversion to complete.Read and store the digital result.
Analog-to-Digital and Real-Time Clocks
Published in Julio Sanchez, Maria P. Canton, Embedded Systems Circuits and Programming, 2017
Julio Sanchez, Maria P. Canton
Programming the A/D module consists of the following steps: Configure the PIC I/O lines to be used in the conversion. All analog lines are initialized as input in the corresponding TRIS registers.Select the ports to be used in the conversion by setting the PCFGx bits in the ADCON1 register. Selects right- or left-justification.Select the analog channels, select the A/D conversion clock, and enable the A/D module.Wait the acquisition time.Initiate the conversion by setting the GO/DONE bit in the ADCON0 register.Wait for the conversion to complete.Read and store the digital result.
Cloud Computing
Published in Antonio Sartal, Diego Carou, J. Paulo Davim, Enabling Technologies for the Successful Deployment of Industry 4.0, 2020
Vidosav D. Majstorovic, Slavenko M. Stojadinovic
The entire model embraces all elements of scheduling, preparation and realization of inspection for box-like parts on CMM, using the developed elements of the structure from the previous figure: (a) module for definition and recognition of geometrical features (GF) from CAD/GD&T model of the measuring part, where we used them for definition of metrological feature (MF); (b) module for building of intelligent inspection process planning (IIPP) that contains methods for prismatic parts presented, and method for freeform surfaces application; (c) CMM – generation of control data list for CMM that is transferred to CMM using cloud technology; and (d) module for analysis of the results and generation of the final measuring reports.
Performance evaluation and experimental validation of different empirical models for predicting photovoltaic output power
Published in International Journal of Ambient Energy, 2022
Rachid Herbazi, Zainab Ben Seddik, Khalid Amechnoue, Ahmed Khouya, Ibrahim Hadj Baraka, Mustapha Diani, Adil Chahboun
The day 27/09/2019 was a very sunny day characterised by a clear sky. Figure 13 gives the profile of (a) solar irradiance; (b) solar irradiation, (c) ambient temperature and (d) module temperature. The solar illumination reaches a maximum of 1011 W/m2, i.e. 85 Wh/m2 at 1:20 pm, and an average of 692.18 W/m2, i.e. 57.72 Wh/m2. The maximum ambient temperature was about 29°C with an average of 25.45°C, thus a module temperature of 53°C is recorded as the maximum and an average of 43.8°C. The power recovered during this day from 8:00 am to 6:00 pm is 149.37 kW, and a maximum value of 1769 W is recorded for a solar irradiance of 1003 W/m2 and an ambient temperature of 25°C at 12:55 pm. Figure 14 gives the appearance of the output power during this sunny day. The power undergoes a growth to reach a maximum at 12:55 pm then a decrease until a minimum value of 108 W at 6:00 pm.
3D numerical simulation of a novel ventilated roof: thermal performance analysis and fluid flow behavior
Published in Science and Technology for the Built Environment, 2021
Michele Calati, Luca Doretti, Claudio Zilio, Simone Mancin
Constant atmospheric pressure and temperature of 300 K were set to simulate the outdoor environment. Therefore, as shown in Figure 4a, a pressure-inlet boundary condition was assigned to the inlet. Similarly, pressure-outlet condition was assigned to the outlet. Besides, when studying the PP supports’ effect, in order to investigate the thermal fluid dynamics inside the channel, two sections were defined: section A (blue) that is located along the central axis of the channel and passes through the support, and section B (red) is the side symmetry plane. For the traditional ventilated roof, only section B was considered, because of continuous battens that make section A and B the same. Figure 4b reports the ridge located at the end of the ventilation channel that lets the air to exit. For the sake of clarity, sections A and B are not shown here. The sides of the 3 D module were modeled as symmetry. All the other surfaces were considered as a wall with no slip condition.
Development and application of hardware-in-the-loop simulation for the HVAC systems
Published in Science and Technology for the Built Environment, 2019
Zhimin Du, Xinqiao Jin, Yonghua Zhu, Yijun Wang, Wenbin Zhang, Zhijie Chen
Figure 3 depicts the logic of the HIL test platform. It shows the connections of TRNSYS, MATLAB, and LabVIEW programs in the HIL test platform. The LabVIEW program connects the hardware components of A/D module, D/A module, and programmable logic controller (PLC). It feeds them with the input signals and collects their output signals. The TRNSYS program runs simulation of the building and HVAC system (Wang and Jin 2000). The MATLAB program runs the embedded operation scheme such as the optimal control strategy and fault diagnosis logic, and is the connection between the LabVIEW and the TRNSYS program. It has the interfaces with both of them. Through those interfaces, the MATLAB program transfers the information between TRNSYS and LabVIEW, including output signals of the controllers, the simulation results of HVAC system, set values of controllers and on-off states of the equipment. The MATLAB program can also operate according to the embedded operation strategy (algorithm), and generate the input for the TRNSYS software’s simulation of next-time step. The flow chart of the MATLAB and TRNSYS programs in the HIL test platform during one time step is illustrated in Figure 4.