scholarly journals Smart e-bike monitoring system: real-time open source and open hardware GPS assistance and sensor data for electrically-assisted bicycles

2016 ◽  
Vol 10 (2) ◽  
pp. 79-88 ◽  
Author(s):  
Chris Kiefer ◽  
Frauke Behrendt
2018 ◽  
Vol 14 (01) ◽  
pp. 66
Author(s):  
Gan Bo ◽  
Jin Shan

In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.


2020 ◽  
Vol 11 (4) ◽  
pp. 57-71
Author(s):  
Qiuxia Liu

Using multi-sensor data fusion technology, ARM technology, ZigBee technology, GPRS, and other technologies, an intelligent environmental monitoring system is studied and developed. The SCM STC12C5A60S2 is used to collect the main environmental parameters in real time intelligently. The collected data is transmitted to the central controller LPC2138 through the ZigBee module ATZGB-780S5, and then the collected data is transmitted to the management computer through the GPRS communication module SIM300; thus, the real-time processing and intelligent monitoring of the environmental parameters are realized. The structure of the system is optimized; the suitable fusion model of environmental monitoring parameters is established; the hardware and the software of the intelligent system are completed. Each sensor is set up synchronously at the end of environmental parameter acquisition. The method of different value detection is used to filter out different values. The authors obtain the reliability of the sensor through the application of the analytic hierarchy process. In the analysis and processing of parameters, they proposed a new data fusion algorithm by using the reliability, probability association algorithm, and evidence synthesis algorithm. Through this algorithm, the accuracy of environmental monitoring data and the accuracy of judging monitoring data are greatly improved.


Author(s):  
Mohd Faiz Rohani ◽  
Noor Azurati Ahmad ◽  
Shamsul Sahibuddin ◽  
Salwani Mohd Daud

Global warming is referred to the rise in average surface temperatures on earth primarily due to the Greenhouse Gases (GHG) emissions such as Carbon Dioxide (CO<sub>2</sub>). Monitoring the emissions, either direct or indirect from the industrial processes, is important to control or to minimize their impact on the environment. Most of the existing environmental monitoring system is being designed and developed for normal environment monitoring. Hence, the aim of this project is to develop industrial CO<sub>2 </sub>emission monitoring system which implements industrial Open Platform Communications (OPC) protocol in an embedded microcontroller. The software algorithm based on OPC data format has been designed and programmed into the Arduino microcontroller to interface the sensor data to any existing industrial OPC compliant Supervisory Control and Data Acquisition (SCADA) system<strong>. </strong>The system has been successfully tested in a lab with the suitable environment for real-time CO<sub>2 </sub>emissions measurement. The real-time measurement data has been shown in an industrial SCADA application which indicates successful implementation of the OPC communications protocol.


2018 ◽  
Vol 24 (2) ◽  
pp. 427-431
Author(s):  
Elena Șușnea

Abstract In the past years, the number of active users on social networking websites has increased exponentially. The popularity of these websites is due to the fact that users aren't the only content consumers (e.g., news, information, entertainment), they can also generate content and collaborate with other users. In case of the occurrence of unexpected events, such as natural disasters or human atrocities, active users can react in real time by uploading or sharing comments, photos, audio and video recordings, meaning that the amount of data generated and related to the event will be huge. These immediate and dynamic reactions of the users provide insight on the severity of the event and can help identify present or potential factors which could cause the crisis situation to destabilize. The first goal of intelligence is to obtain information on the situation's awareness. In this context, a realtime social media monitoring system can provide a snapshot of the happenings around the unexpected event, therefore it can be an open source intelligence (OSINT) platform for early warning in crisis situations. Furthermore, using intelligent technology, such as data mining, the system can support decision makers to anticipate the evolution of the crisis and take preventive actions to avoid escalating the crisis


2016 ◽  
Vol 12 (05) ◽  
pp. 48 ◽  
Author(s):  
Y. H. Zhou ◽  
J. G. Duan

A greenhouse provides a stable and suitable environment for the growth of plants. Temperature and humidity are closely related to plant growth. These factors directly affect the water content of plants and the quality of fruits. To solve the problems in the current monitoring system of greenhouse cultivation, such as complicated wiring, large node power consumption, and so on, this study proposes a wireless sensor network greenhouse-monitoring system based on third-generation network communication for the real-time monitoring of the temperature, humidity, light, and CO<sub>2</sub> concentration in a greenhouse. GS1011M is regarded as the core in developing wireless terminal nodes. PC software is used to build a real-time observation platform. Sensor data are received in real time through a wireless communication network to complete the monitoring of the target area. A simulation research is also conducted. Results show that the power dissipation of the greenhouse environmental monitoring system is low, its data accuracy is high, and its operation is stable.


Author(s):  
Francisco Vital Da Silva Júnior ◽  
Mônica Ximenes Carneiro Da Cunha ◽  
Marcílio Ferreira De Souza Júnior

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.


2012 ◽  
Vol 220-223 ◽  
pp. 1456-1459 ◽  
Author(s):  
Xiang Dong Pei ◽  
Qiu Lin Tan ◽  
Si Min Zhu ◽  
Ji Jun Xiong

Flexible Overland Freight Monitoring System for Hazardous Chemicals, with the functions of tracking and localized, is designed. Sensor network, which is the integration of sensor technology, embedded and wireless technology, is a novel technique about data acquiring and processing. Some technologies cooperated with diagnosis are included, such as sensor, data collection, signal analysis, data processing, database, and net transmission. To achieve the hazardous chemicals from the production, storage, transportation to the whole process of remote real-time tracking and monitoring,This system receives real-time GPS position data, and sends it to internet through GPRS net. And with the technique of GIS, it realizes managing and monitoring tankers at the watching center. The converter has interfaces of GSM protocol and can send the control information and data of the control center to any terminal in the GSM network. Likewise the remote data can be transmitted to the control center with the converter. Controlled by central control system, the system can operate automatically and continuously.


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