PC-based data acquisition (DAQ) systems are irreplaceable in terms of capacity and flexibility for data processing. Data acquisition systems serving IoT are a recent development trend. It is necessary to develop a remotely accessible PC-based DAQ system. In this paper, we present a PC-based DAQ system that can be accessed remotely via the internet. The system consists of several sensors connected to a microcontroller. A two-sided application is developed to set up data access, namely, a local application on the DAQ PC and a web-based application in Google Drive (GD) that can interact with applications on the PC. Local data can then be sent to GD and accessed remotely from a PC. Applications on local PCs will provide a user interface (UI) for managing the data, while those on GD will provide access from the internet. The mean time delay for sending data from a PC to Google Sheets is 2.346 s with minimum and maximum values of 0.874 and 5.863 s, respectively.
In this study, we designed and developed an air conditioner with a heat recovery function and examined its energy-saving benefits. The heat recovery mode of the conversion air conditioner was first examined. The heat generated by the designed conversion air conditioner system was transferred into a preheating tank through a copper pipe to heat the water in the preheating tank. The operating power of the electric water heater and heat pump was reduced by recovering waste heat. The water temperature was monitored by placing several temperature sensors on the system. The optimal length for the copper pipe was calculated in an experiment. Copper pipes were configured into a one-to-one or one-to-many mode in accordance with the number of air conditioners on the consumer end. According to the experimental results, about 99% of the power consumption could be saved when the electric water heater was set at 45 ℃. As calculated using the commercial electricity rate of Taiwan Power Company, the cost of the heat recovery equipment can be recovered in about two years. The designed air conditioner with the heat recovery function helps achieve energy saving, cost cutting, and environmental protection goals.
Data acquisition systems (DAQs) have a significant role in acquiring data for convenient analysis. With the spread of the Internet of Things, DAQs with remote access are in high demand in industry. The massive usage of free cloud storage provides an opportunity to build a remote DAQ that provides accessible data around the world. In this paper, a remote setting and DAQ for a fuel cell stack are presented. A prototype was made using Arduino Yun, sensors, and actuators. A data server from Flask Python was built using the Linux side processor of Arduino Yun. Then, the acquired data were sent to Google Drive and saved as Spreadsheets files. A user interface (UI) based on HTML was provided in Google Sites. The UI was used to display the data in table and graph form as well as to set the timing values of the purge valve. Google Apps Script was used to manage data communication with Arduino Yun and also manage the data stored on Google Drive. The proposed system takes 3 s to send data from Arduino to Google Drive, while the time taken to update the purge valve time values is 6 s.
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