Distributed remote temperature monitoring and acquisition system based on CAN bus

Qi-shen, Zhu; Zhu, Danchen; Su, Xunwen

doi:10.1109/phm.2010.5413439

Cited by 13 publications

(4 citation statements)

References 5 publications

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“…The nodes use a dynamic arbitration method based on priority to pass messages on the bus [38]. The nodes filter out the corresponding messages by filtering the message algorithm.…”

Section: Proposed Systemmentioning

confidence: 99%

IoT-Based Response Time Analysis of Messages for Smart Autonomous Collision Avoidance System Using Controller Area Network

Biswal

Singh

Pattanayak

et al. 2022

Wireless Communications and Mobile Computing

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Many accidents and serious problems occur on the road due to the rapid increase in traffic congestion in all sections of the country. Autonomous vehicles provide a solution to successfully and cost-effectively avoid this problem while minimizing user disruption. Currently, more engaging electromechanical elements with an analog interface are used to develop affordable automobiles for efficient and cost-effective operation for a smart driving platform with a semiautonomous automobile, strengthening the vehicle involvement of the driver while increasing safety. As a result, it takes longer for various car elements to respond, which causes more problems during message transmission. This project aims to create a Controller Area Network (CAN) for analyzing message response times by incorporating a few application nodes on the IoT platform, such as an antilock braking system, flexible cruise control, and seat belt section, for some real-time control system applications. These application nodes are car analytical parts that are linked to IoT modules to prevent collisions. An autonomous device for collision avoidance and obstacle detection in a vehicle can impact road accidents if the CAN protocol is implemented.

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“…The nodes use a dynamic arbitration method based on priority to pass messages on the bus [38]. The nodes filter out the corresponding messages by filtering the message algorithm.…”

Section: Proposed Systemmentioning

confidence: 99%

IoT-Based Response Time Analysis of Messages for Smart Autonomous Collision Avoidance System Using Controller Area Network

Biswal

Singh

Pattanayak

et al. 2022

Wireless Communications and Mobile Computing

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“…Average polyhouses are from 500 to 10,000 m 2 , and farmer makes them appropriate to take better return with little land holding [10]. Another model was developed based on genetic ultra-low cost remote control application based on cell phone that will be helpful in irrigation [11,12]. Researchers have devoted much time in studying about various percepts of smart agriculture considering various climatic conditions and other important factors [13,14].…”

Section: Related Researchmentioning

confidence: 99%

Smart Agriculture Using Polyhouse

Agarwal

Pant

Gangadharan

et al. 2021

Advances in Intelligent Systems and Computing

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Agriculture plays a great role in the development of agricultural country like India. Issues related to agriculture have been always hindering the development of the country. Each year many crops go waste due to a lack of optimal climatic conditions to support the growth of crops. Losses of around 11 billion dollars are reported in India each year alone. The farmers in India suffer a lot due to the low productivity. The only way out to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence it aims at making agriculture smart using automation, Machine learning and IoT technologies. Polyhouse is one such method in implementing smart agriculture. Automated polyhouses are very useful in maintaining most of the adverse factors. It includes various types of sensors connected with a database. Smart Agriculture is a solution for monitoring air temperature, soil moisture, humidity, sunlight exposure, water required, etc. It becomes difficult for a human to maintain all these aspects at a time, thus smart agriculture becomes a necessary. This paper proposes a model for polyhouse using various sensors. Using this technology, data from various sensors will be analyzed to help in decision making.

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“…MCU can be used as a core to a temperature monitoring system [3,4]. However, MCU has limited computational power.…”

Section: Introductionmentioning

confidence: 99%

Design of High Real-Time and Multi-Point Temperature Monitoring System

Ding

Zhao

2011

2011 International Conference on Control, Automation and Systems Engineering (CASE)

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This paper introduces an IP core for temperature monitoring a distributed and multi-point temperature monitoring system based on the designed IP core that has fast response time and is capable of parallel processing. Targeting temperature measuring chip DS18B20 as the control object, we implement both initialization and read/write controls of it in our IP core. The correctness of our IP core is verified using Modelsim-based simulations. Using our IP core, we also implement a multiplexed real-time temperature monitoring system using the DE2 development board. The test results show that the designed system meets the stringent requirements of multi-channel and parallel processing completely. The implemented system also has the advantage of high portability and good real-timer performance.

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Distributed remote temperature monitoring and acquisition system based on CAN bus

Cited by 13 publications

References 5 publications

IoT-Based Response Time Analysis of Messages for Smart Autonomous Collision Avoidance System Using Controller Area Network

IoT-Based Response Time Analysis of Messages for Smart Autonomous Collision Avoidance System Using Controller Area Network

Smart Agriculture Using Polyhouse

Design of High Real-Time and Multi-Point Temperature Monitoring System

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