Hardware Implementation of STM32 Microcontroller-Based Indoor Environment Monitoring System

Ren, Luyong; Yu, Xiaoyu

doi:10.4236/ojapps.2021.119072

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…To evaluate the error flow velocity rate of prediction results and actual reference, let's choose the root mean square error (RMSE) as the evaluation, with anemometer GM8902 as the reference because the pre-defined target is gas (the air). In addition, let's try to show the profile with Solid-Works flow simulation as the shape of data distribution in the pipe [18,19].…”

Section: Fig 1 Recurrent Neural Network (Rnn) Conceptmentioning

confidence: 99%

The development of simultaneous transducer ultrasonic with dual-transducer to measure flow velocity in the pipe

Wiranata,

Kurniadi

2023

Eureka: PE

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There are still several obstacles to calculating fluid flow rate measurement on custody transfer, such as the distribution of one-phase fluid flow rate, less sTable pressure, and fluid flow rate changes, which are still the main problems in the process of a measuring system. To calculate the flow rate of one phase fluid, there is a method often used, namely transit time. In practice, the transit time works to send the ultrasonic pulse from upstream to downstream, which had to have a delay because the transducer must switch the function of a transducer to become transmitter or receiver. So, this paper proposed a new strategy of measurement multipath ultrasonic flowmeter (UFLW) with a simultaneous transit time method using a dual transmitter and receiver. The simultaneous method is a measuring technique that utilizes a pair of ultrasonic transducers as both trigger and receiver. The first transducer serves as the transmitter, while the second functions as the receiver, capturing the signal at the same time without changing their positions or roles. In order to implement the configuration setup, let’s try to use 3 paths configuration with 6 pairs of transducers, 3 on the upstream and 3 on the downstream. To estimate the flow velocity, let’s use long short-term memory (LSTM), which is one of the recurrent neural networks (RNN) architectures in the deep learning algorithm, and to evaluate the performance, let’s use the Bland-Altman plot and root mean squared error (RMSE) and validation loss of the LSTM model. The result shows RMSE 0.289 from the actual flow velocity, which means an LTSM with simultaneous multipath ultrasonic can reduce the error between prediction and actual measurement

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Section: Fig 1 Recurrent Neural Network (Rnn) Conceptmentioning

confidence: 99%

The development of simultaneous transducer ultrasonic with dual-transducer to measure flow velocity in the pipe

Wiranata,

Kurniadi

2023

Eureka: PE

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“…The detection node uses STM32F103ZET6 as the processor and LoRa as the wireless communication module [9] [10]. Indoor environmental quality testing indexes include temperature, humidity, light intensity, noise, formaldehyde, and carbon dioxide.…”

Section: Hardware Designmentioning

confidence: 99%

Indoor Environment Quality Monitoring and Evaluation System Based on LoRa Communication

Jiang¹,

Zhu²,

Xie³

et al. 2022

JCC

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“…All this requires the use of universal programming environments and standard approaches. Modern displays are divided into two groups: with and without an integrated controller [1,4]. The presence of a built-in controller allows you to use any microcontroller to control the display.…”

Section: Introductionmentioning

confidence: 99%

“…Among microcontrollers of the STM32 family, only the high performance F7, H7, L4 series have a built-in graphics accelerator [1]. For such series, there is a specialized software product Touc5GFX [4], using which, in a short time and at a high design level, you can create a set of graphic screens for visualization and control, and even provide video streaming. However, in the cheaper and more popular in practice series F0, F1, F2, F3, G0, L0, part of the F4, etc., is missing a graphics accelerator.…”

Section: Introductionmentioning

confidence: 99%

Study of the Effectiveness of Using Nextion Displays in Projects Based on STM32 Microcontrollers

Zubkov,

Svyd,

Vorgul

2023

Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs 2023

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An analysis of the problems of developing graphic screens with an original design for STM32 microcontrollers without a built-in graphics accelerator was carried out. The analysis of the electronics development companies requirements for projects with built-in visualization in electronic devices has been carried out. A comparative analysis of the Nextion displays characteristics and industrial operator panels was carried out. The capabilities of Nextion displays were studied: the speed of loading images from flash memory and displaying these images on the screen, the time it took to develop screens, the speed of data exchange between the display and the microcontroller. A comparative analysis was carried out between identical projects created for the Nextion display in the Nextion Editor environment and a display for which there is no specialized GUI development environment. The effectiveness of using Nextion displays for high-quality visualization of the device state and systems designed on the STM32 microcontrollers has been proven.

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Hardware Implementation of STM32 Microcontroller-Based Indoor Environment Monitoring System

Cited by 5 publications

References 8 publications

The development of simultaneous transducer ultrasonic with dual-transducer to measure flow velocity in the pipe

The development of simultaneous transducer ultrasonic with dual-transducer to measure flow velocity in the pipe

Indoor Environment Quality Monitoring and Evaluation System Based on LoRa Communication

Study of the Effectiveness of Using Nextion Displays in Projects Based on STM32 Microcontrollers

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