Design Car Warning System Based on Wireless Communication

2014 ◽  
Vol 1065-1069 ◽  
pp. 3297-3300
Author(s):  
Yin Wang

Design using MSP430 microcontroller core, control GSM wireless communication module implements remote car alarm warning systems, from system components, as well as hardware and software design works done in detail, the system triggers an alarm through the sensor module, enter through the microcontroller to TC35i AT command so that it can promptly send a short message to alert the owner, breaking the traditional alarm distance limitations, with good market prospects.


2011 ◽  
Vol 320 ◽  
pp. 475-480
Author(s):  
Dong Wei Gao ◽  
Qing Gong Ma ◽  
Xiao Ling Zhou ◽  
Jun Hua Li

This task is based on the control of the MCU. In order to make it work, the first and foremost thing is to configure the interface among the MCU, display device and the wireless communication device with reason. In detail, the hardware design concludes the MCU control system, display circuit as well as the design of the wireless one. As for the software design, there are the initialization of the MCU and the display component. The programmer for the control of the display part and wireless part are also concluded.



2014 ◽  
Vol 644-650 ◽  
pp. 4338-4341
Author(s):  
Xi Na Zhang ◽  
Zhi Zhong Zhang

The terminal uses data acquisition module to collect antenna parameters of the base station, data is processed by S3C2440 core module and transmitted to management system by wireless communication module. This introduces hardware and software design solution of the terminal. The intelligent terminal can measure coordinates, altitude, azimuth and tilt of base station.



2015 ◽  
Vol 743 ◽  
pp. 277-280 ◽  
Author(s):  
Hong He ◽  
C.Q. Mao ◽  
H.Y. Pan ◽  
Yu Li

According to the vehicle after geomagnetic disturbances cause of this phenomenon, in-depth theoretical study of the anisotropic magnetoresistance AMR sensors, using triaxial anisotropic magnetoresistive sensor HMC5883L design a vehicle detection system. The system consists of a sensor module, wireless communication module. Sensor nodes through wireless communication module connected with the host computer, to achieve the detection of vehicle information.



2014 ◽  
Vol 722 ◽  
pp. 266-270
Author(s):  
Jian Jun Wang ◽  
Hui Fang Gao ◽  
Li Yang Cai

The control system design for a Feeding Machine in Farms is introduced in this paper, it consists of PLC, MCGS touch screen, monitoring computer, wireless communication module, etc. This paper introduces in detail the system's hardware and software design. The system has characteristics of easy operation, stable running and high reliability.



2021 ◽  
Vol 22 (2) ◽  
pp. 123-130
Author(s):  
Sunardi Sunardi ◽  
Teguh Arifianto ◽  
Anindira Listy Hartisa ◽  
Arief Darmawan ◽  
Willy Artha Wirawan

ABSTRACTDesign of Landslide Potential Warning System and Land Shifting Using Telemetry Method: According to the 2019 BNBP Performance Report, landslides are the fourth most frequent disaster in Indonesia, so we need a telemetry tool for land shifting. This system consists of ATMega328 Microcontroller, Linear Variable Differential Transformer sensor and rheostat, accelerometer sensor, rain gauge tipping bucket, and HC-12 wireless communication module. Normally, LVDT sensor reads ground shift in the 0-20 mm range, rheostat shifting up to 66 mm, accelerometer sensor reads data less than 20 deg and  rain gauge tipping bucket sensor generates the amount of rainfall below 50 mm/hour which is sent data regularly to user. Warning alarms installed in these prone area will sound if the LVDT sensor reads ground shift30 mm, rheostat51 mm, accelerometer sensor reads data more than 45°, and rain gauge tipping bucket sensor reads more than 70 mm/hour. This test produces measurable parameter data so that it can be displayed and provide warning information.Keywords: alarm warning; ATMega 328; land shifting; landslides; telemetry.ABSTRAKMenurut Laporan Kinerja BNBP 2019, tanah longsor merupakan bencana yang sering terjadi urutan keempat di Indonesia, sehingga perlu suatu alat telemetri terhadap pergeseran tanah. Sistem ini terdiri atas Mikrokontroler ATMega328, sensor Linear Variable Differential Transformer dan rheostat, sensor accelerometer, sensor rain gauge tipping bucket, dan modul komunikasi wireless HC-12. Normalnya, sensor LVDT membaca pergeseran tanah pada range 0-20 mm, rheostat mampu melakukan pergeseran hingga 66 mm, sensor accelerometer membaca data kurang dari 20 deg, dan sensor rain gauge tipping bucket menghasilkan jumlah curah hujan dibawah 50 mm/jam yang kemudian data dikirim secara rutin ke user. Alarm peringatan yang terpasang di daerah rawan tersebut akan berbunyi jika sensor LVDT membaca pergeseran tanah 30 mm, rheostat 51 mm, sensor accelerometer membaca data lebih dari 45 derajat, dan sensor rain gauge tipping bucket membaca data lebih dari 70 mm/jam. Pengujian ini menghasilkan data parameter yang terukur sehingga dapat ditampilkan dan memberikan informasi peringatan.Kata Kunci: alarm peringatan; ATMega 328; pergeseran tanah; tanah longsor; telemetri



Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1737
Author(s):  
Ane Dalsnes Storsæter ◽  
Kelly Pitera ◽  
Edward McCormack

Pavement markings are used to convey positioning information to both humans and automated driving systems. As automated driving is increasingly being adopted to support safety, it is important to understand how successfully sensor systems can interpret these markings. In this effort, an in-vehicle lane departure warning system was compared to data collected simultaneously from an externally mounted mobile retroreflectometer. The test, performed over 200 km of driving on three different routes in variable lighting conditions and road classes found that, depending on conditions, the retroreflectometer could predict whether the car’s lane departure systems would detect markings in 92% to 98% of cases. The test demonstrated that automated driving systems can be used to monitor the state of pavement markings and can provide input on how to design and maintain road infrastructure to support automated driving features. Since data about the condition of lane marking from multiple lane departure warning systems (crowd-sourced data) can provide input into the pavement marking management systems operated by many road owners, these findings also indicate that these automated driving sensors have an important role in enhancing the maintenance of pavement markings.



2021 ◽  
Vol 11 (16) ◽  
pp. 7197
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Shan Bao

Warning pedestrians of oncoming vehicles is critical to improving pedestrian safety. Due to the limitations of a pedestrian’s carrying capacity, it is crucial to find an effective solution to provide warnings to pedestrians in real-time. Limited numbers of studies focused on warning pedestrians of oncoming vehicles. Few studies focused on developing visual warning systems for pedestrians through wearable devices. In this study, various real-time projection algorithms were developed to provide accurate warning information in a timely way. A pilot study was completed to test the algorithm and the user interface design. The projection algorithms can update the warning information and correctly fit it into an easy-to-understand interface. By using this system, timely warning information can be sent to those pedestrians who have lower situational awareness or obstructed view to protect them from potential collisions. It can work well when the sightline is blocked by obstructions.



Author(s):  
J. Selva ◽  
A. Amato ◽  
A. Armigliato ◽  
R. Basili ◽  
F. Bernardi ◽  
...  

AbstractDestructive tsunamis are most often generated by large earthquakes occurring at subduction interfaces, but also other “atypical” sources—defined as crustal earthquakes and non-seismic sources altogether—may cause significant tsunami threats. Tsunamis may indeed be generated by different sources, such as earthquakes, submarine or coastal landslides, volcano-related phenomena, and atmospheric perturbations. The consideration of atypical sources is important worldwide, but it is especially prominent in complex tectonic settings such as the Mediterranean, the Caribbean, or the Indonesian archipelago. The recent disasters in Indonesia in 2018, caused by the Palu-Sulawesi magnitude Mw 7.5 crustal earthquake and by the collapse of the Anak-Krakatau volcano, recall the importance of such sources. Dealing with atypical sources represents a scientific, technical, and computational challenge, which depends on the capability of quantifying and managing uncertainty efficiently and of reducing it with accurate physical modelling. Here, we first introduce the general framework in which tsunami threats are treated, and then we review the current status and the expected future development of tsunami hazard quantifications and of the tsunami warning systems in Italy, with a specific focus on the treatment of atypical sources. In Italy, where the memory of historical atypical events like the 1908 Messina earthquake or the relatively recent 2002 Stromboli tsunami is still vivid, specific attention has been indeed dedicated to the progressive development of innovative strategies to deal with such atypical sources. More specifically, we review the (national) hazard analyses and their application for coastal planning, as well as the two operating tsunami warning systems: the national warning system for seismically generated tsunamis (SiAM), whose upstream component—the CAT-INGV—is also a Tsunami Service Provider of the North-eastern Atlantic, the Mediterranean and connected seas Tsunami Warning System (NEAMTWS) coordinated by the Intergovernmental Coordination Group established by the Intergovernmental Oceanographic Commission (IOC) of UNESCO, and the local warning system for tsunamis generated by volcanic slides along the Sciara del Fuoco of Stromboli volcano. Finally, we review the state of knowledge about other potential tsunami sources that may generate significant tsunamis for the Italian coasts, but that are not presently considered in existing tsunami warning systems. This may be considered the first step towards their inclusion in the national tsunami hazard and warning programs.



2020 ◽  
Vol 11 (1) ◽  
pp. 298
Author(s):  
Youchung Chung

In this paper, an inverted F type antenna (IFA) for ZigBee communication of a sensor board has been designed and optimized, and it replaces the chip antenna on an RF (Radio Frequency) module that is not performing well enough for the ZigBee communication. The sensor board detects cattle behavior and identifies the breeding (estrus) period and transmits the data to the main station by the RF (Radio Frequency) module and IFA antenna. The proposed and optimized TRx (transmitting/receiving) IFA antenna of the ZigBee communication module has a return loss of −19 dB and a gain of 1.6 dB at 2.45 GHz. The size is about 2.5 × 0.5 cm in width and vertical length, and the height is 0.55 cm. The strength of signals with the chip antenna and the IFA antenna have been measured and compared. There is about a 20 dB enhancement with the IFA antenna compared to the chip antenna. The antenna is designed and applied to the RF transmission and reception (TRx) module. This antenna and sensor module can be applied to livestock in general as well as cattle.



2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mahamat Abdelkerim Issa ◽  
Fateh Chebana ◽  
Pierre Masselot ◽  
Céline Campagna ◽  
Éric Lavigne ◽  
...  

Abstract Background Many countries have developed heat-health watch and warning systems (HHWWS) or early-warning systems to mitigate the health consequences of extreme heat events. HHWWS usually focuses on the four hottest months of the year and imposes the same threshold over these months. However, according to climate projections, the warm season is expected to extend and/or shift. Some studies demonstrated that health impacts of heat waves are more severe when the human body is not acclimatized to the heat. In order to adapt those systems to potential heat waves occurring outside the hottest months of the season, this study proposes specific health-based monthly heat indicators and thresholds over an extended season from April to October in the northern hemisphere. Methods The proposed approach, an adoption and extension of the HHWWS methodology currently implemented in Quebec (Canada). The latter is developed and applied to the Greater Montreal area (current population 4.3 million) based on historical health and meteorological data over the years. This approach consists of determining excess mortality episodes and then choosing monthly indicators and thresholds that may involve excess mortality. Results We obtain thresholds for the maximum and minimum temperature couple (in °C) that range from (respectively, 23 and 12) in April, to (32 and 21) in July and back to (25 and 13) in October. The resulting HHWWS is flexible, with health-related thresholds taking into account the seasonality and the monthly variability of temperatures over an extended summer season. Conclusions This adaptive and more realistic system has the potential to prevent, by data-driven health alerts, heat-related mortality outside the typical July–August months of heat waves. The proposed methodology is general and can be applied to other regions and situations based on their characteristics.



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