Application of WeChat Mini-Program and Wi-Fi SoC in Agricultural IoT: A Low-Cost Greenhouse Monitoring System

2020 ◽  
Vol 63 (2) ◽  
pp. 325-337
Author(s):  
Lei Zhou ◽  
Zhengjun Qiu ◽  
Yong He
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
High Performance ◽  
Low Cost ◽  
Rapid Development ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Smart Devices ◽  
Increasing Demand ◽  
On Chip

HighlightsA quick solution for developing and deploying custom agricultural IoT systems is proposed.Low-cost and high-performance devices are used for the design of sensor nodes.A mobile application based on WeChat Mini-Program is developed for device and data management.The proposed system brings convenience to both users and developers.Abstract. Increasing demand for automatic management of agricultural production and real-time remote monitoring has increased the need for smart devices, wireless technologies, and sensors. The internet of things (IoT) has emerged as a common technology for the management of multiple devices by multiple users. Some professional solutions are relatively difficult to implement for researchers who are interested in agricultural IoT but do not have requisite skills in computers and electronics. The unfriendliness of the user software limits the practical application of agricultural IoT in China. This article presents a simple solution based on an SoC (system-on-chip) and WeChat mini-program that focuses on low-cost hardware, rapid development, user-friendly application design, and helping developers get a quick start in building a DIY monitoring system. The ESP8266, a high-performance SoC, is used as the microcontroller and Wi-Fi module to transfer the sensor data to a remote server. A WeChat mini-program provides the graphical user interface, enabling users to manage devices and access data by clicking. Users can log into the system using their WeChat accounts and bind devices by scanning QR codes on the devices. Thus, the complex management and device binding in conventional systems can be overcome. The system is easy to be expand and has great potential for greenhouse environmental monitoring in China. Keywords: Greenhouse ambient monitoring, Internet of things, WeChat mini-program, Wi-Fi SoC.

Design and Calibration of MIMU Based on Chip Size Micro Inertial Sensors

2013 ◽  
Vol 849 ◽  
pp. 302-309
Author(s):  
Yun Xu ◽  
Xin Hua Zhu ◽  
Yu Wang
Keyword(s):  
High Performance ◽  
Inertial Sensors ◽  
Low Cost ◽  
Rapid Development ◽  
Experimental Result ◽  
Integrated Navigation ◽  
Bias Stability ◽  
Chip Size ◽  
Order Of Magnitude ◽  
On Chip

With rapid development of micro fabrication technology, the performance of MIMU has gradually improved. The MIMU introduced in this paper is based on the silicon micro machined gyroscope of type MSG7000D and accelerometer of type MSA6000. The volume of it is 3×3×3cm3, the mass is 68.5g and the power consumption is less than 1w. The experimental result shows that the bias stability of the gyroscope and accelerometer for each axis of the designed MIMU is less than 10°/h and 0.5mg respectively. For the non orthogonality in three axes of the structure, MIMU needs to be calibrated. After calibration, the measurement accuracy has improved by an order of magnitude. The designed MIMU can satisfy the requirement of high performance, low cost, light weight and small size for strap-down navigation system, thus it can be widely applied not only to the field of vehicles integrated navigation, attitude measurement but also to the fields of personal goods such as mobile, game consoles and so on.

scholarly journals IOTFlood: hardware and software platform using internet of things to monitor floods in real time

2021 ◽  
Vol 16 (4) ◽  
pp. 1
Author(s):  
Francisco Vital Da Silva Júnior ◽  
Mônica Ximenes Carneiro Da Cunha ◽  
Marcílio Ferreira De Souza Júnior
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Research Design ◽  
Open Source Software ◽  
Low Cost ◽  
Sensor Data ◽  
Software Platform ◽  
Web Interface ◽  
Iot Platform

Floods are responsible for a high number of human and material losses every year. Monitoring of river levels is usually performed with radar and pre-configured sensors. However, a major flood can occur quickly. This justifies the implementation of a real-time monitoring system. This work presents a hardware and software platform that uses Internet of Things (IoTFlood) to generate flood alerts to agencies responsible for monitoring by sending automatic messages about the situation of rivers. Research design involved laboratory and field scenarios, simulating floods using mockups, and later tested on the Mundaú River, state of Alagoas, Brazil, where flooding episodes have already occurred. As a result, a low-cost, modular and scalable IoT platform was achieved, where sensor data can be accessed through a web interface or smartphone, without the need for existing infrastructure at the site where the IOTFlood solution was installed using affordable hardware, open source software and free online services for the viewing of collected data.

Piezoelectric MEMS – Evolution from sensing technology to diversified applications in the 5G / Internet of Things (IoT) era

2021 ◽  
Author(s):  
Xianhao Le ◽  
Qiongfeng Shi ◽  
Philippe Vachon ◽  
Eldwin Jiaqiang Ng ◽  
Chengkuo Lee
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
High Performance ◽  
Low Cost ◽  
Rapid Development ◽  
Building Blocks ◽  
Mems Devices ◽  
Sensors And Actuators ◽  
Energy Harvesters ◽  
Piezoelectric Mems

Abstract The rapid development of the fifth-generation mobile networks (5G) and Internet of Things (IoT) is inseparable from a large number of miniature, low-cost, and low-power sensors and actuators. Piezoelectric micro-electromechanical system (MEMS) devices, fabricated by micromachining technologies, provide a versatile platform for various high-performance sensors, actuators, energy harvesters, filters and oscillators (main building blocks in radio frequency (RF) front-ends for wireless communication). In this paper, we provide a comprehensive review of the working mechanism, structural design, and diversified applications of piezoelectric MEMS devices. Firstly, various piezoelectric MEMS sensors are introduced, including contact and non-contact types, aiming for the applications in physical, chemical and biological sensing. This is followed by a presentation of the advances in piezoelectric MEMS actuators for different application scenarios. Meanwhile, piezoelectric MEMS energy harvesters, with the ability to power other MEMS devices, are orderly enumerated. Furthermore, as a representative of piezoelectric resonators, Lamb wave resonators are exhibited with manifold performance improvements. Finally, the development trends of wearable and implantable piezoelectric MEMS devices are discussed.

scholarly journals Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

2021 ◽  
Vol 11 (6) ◽  
pp. 5578
Author(s):  
Tole Sutikno ◽  
Hendril Satrian Purnama ◽  
Anggit Pamungkas ◽  
Abdul Fadlil ◽  
Ibrahim Mohd Alsofyani ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Low Cost ◽  
Critical Feature ◽  
Pv Systems ◽  
Network Connection ◽  
Use Of The Internet ◽  
And Performance ◽  
On Chip ◽  
Parameter Monitoring

<span>The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.</span>

scholarly journals Generic framework for industrial 4.0 applications based on internet of things

2020 ◽  
Vol 3 (SI1) ◽  
pp. First
Author(s):  
Nhan Trong Le ◽  
Nguyen Tran Huu Nguyen ◽  
Pham Le Song Ngan
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Low Cost ◽  
Complete Solution ◽  
Sensor Nodes ◽  
Smart Devices ◽  
Sensory Data ◽  
Generic Framework ◽  
Serial Connection ◽  
Smart Agriculture

The Internet of Things (IoTs) is a network of interconnected devices, transportations, home appliances, and other devices. They are functionally embedded in electronics, software, sensors, actuators, and connectivity that allows them to connect and exchange information. On the basis of the IoT concept, implementations are gradually being proposed in a range of areas, ranging from smart house, smart office and smart agriculture. In this research paper, a generic framework for smart monitoring applications based on the IoTs network is proposed. In this framework, low-powered sensor nodes are based on the micro:bit platform, providing a multiple footprints for different sensor connections. The wireless capability on micro:bit provides a complete solution to deploy the system in such places that wire is impractical to draw. The data is wirelessly gathered by a basestation node that is powered by Android Things operating system provided by Google. This operating system is based on the Android platform for smart devices and Internet of Things products. The approach to this framework indicates a low cost and minimum setup and especially amenable for applications control. To support many applications with minimum modifications, the framework is designed for easy expansion by supporting popular serial connection ports, including the Universal Asynchronous Receiver/Transmitter and Serial Peripheral Interface. With these connections, on one line data bus, several sensors can be added to match the different application requirements. In this paper, our platform is validated for an automatic water monitoring in aquaculture based on the temperature, pH and dissolved oxygen sensory data. Through our framework, the data is uploaded to a cloud for remote monitoring and providing alarms for users whenever the data is out of a predefined safe domain.

scholarly journals Synthesis, Structure and Diffusion Pathways of Fast Lithium-Ion Conductors in the Polymorphs α- and β-Li8SnP4

2021 ◽  
Author(s):  
Thomas F Fässler ◽  
Stefan Strangmüller ◽  
Henrik Eickkhoff ◽  
Wilhelm Klein ◽  
Gabriele Raudaschl-Sieber ◽  
...  
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Lithium Ion ◽  
Conducting Materials ◽  
Increasing Demand ◽  
Battery Technology ◽  
Lithium Ion Conductors ◽  
And Diffusion ◽  
Ion Conductors

The increasing demand for a high-performance and low-cost battery technology promotes the search for Li+-conducting materials. Recently, phosphidotetrelates and aluminates were introduced as an innovative class of phosphide-based Li+-conducting materials...

scholarly journals Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models

2014 ◽  
Vol 5 (1) ◽  
pp. 20-45 ◽  
Author(s):  
Osman Salem ◽  
Alexey Guerassimov ◽  
Ahmed Mehaoua ◽  
Anthony Marcus ◽  
Borko Furht
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Anomaly Detection ◽  
Patient Data ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Smart Devices ◽  
Support Vector ◽  
Processing Unit

This paper details the architecture and describes the preliminary experimentation with the proposed framework for anomaly detection in medical wireless body area networks for ubiquitous patient and healthcare monitoring. The architecture integrates novel data mining and machine learning algorithms with modern sensor fusion techniques. Knowing wireless sensor networks are prone to failures resulting from their limitations (i.e. limited energy resources and computational power), using this framework, the authors can distinguish between irregular variations in the physiological parameters of the monitored patient and faulty sensor data, to ensure reliable operations and real time global monitoring from smart devices. Sensor nodes are used to measure characteristics of the patient and the sensed data is stored on the local processing unit. Authorized users may access this patient data remotely as long as they maintain connectivity with their application enabled smart device. Anomalous or faulty measurement data resulting from damaged sensor nodes or caused by malicious external parties may lead to misdiagnosis or even death for patients. The authors' application uses a Support Vector Machine to classify abnormal instances in the incoming sensor data. If found, the authors apply a periodically rebuilt, regressive prediction model to the abnormal instance and determine if the patient is entering a critical state or if a sensor is reporting faulty readings. Using real patient data in our experiments, the results validate the robustness of our proposed framework. The authors further discuss the experimental analysis with the proposed approach which shows that it is quickly able to identify sensor anomalies and compared with several other algorithms, it maintains a higher true positive and lower false negative rate.

Robust voice user interface for internet-of-things

2021 ◽  
pp. 1-16
Author(s):  
Abdelaziz A. Abdelhamid ◽  
Sultan R. Alotaibi
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Smart Devices ◽  
Voice User ◽  
Voice Interaction ◽  
Device Interaction ◽  
Computational Resources ◽  
Human Device

Internet of things (IoT) plays significant role in the fourth industrial revolution and attracts an increasing interest due to the rapid development of smart devices. IoT comprises factors of twofold. Firstly, a set of things (i.e., appliances, devices, vehicles, etc.) connected together via network. Secondly, human-device interaction to communicate with these things. Speech is the most natural methodology of interaction that can enrich user experience. In this paper, we propose a novel and effective approach for building customized voice interaction for controlling smart devices in IoT environments (i.e., Smart home). The proposed approach is based on extracting customized tiny decoding graph from a large graph constructed using weighted finite sates transducers. Experimental results showed that tiny decoding graphs are very efficient in terms of computational resources and recognition accuracy in clean and noisy conditions. To emphasize the effectiveness of the proposed approach, the standard Resources Management (RM1) dataset was employed and promising results were achieved when compared with four competitive approaches.

Sign in / Sign up

Export Citation Format

Share Document