Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories Using Arduino

Fuzzy Systems ◽  
2017 ◽  
pp. 855-872 ◽  
Author(s):  
S. Sasirekha ◽  
S. Swamynathan
Keyword(s):  
Monitoring System ◽  
Event Detection ◽  
Low Cost ◽  
Fuzzy Rule ◽  
Web Based ◽  
Sensor Reading ◽  
Rule Based ◽  
Wireless Monitoring ◽  
Physical Laboratory ◽  
Blood Banks

Weather controlled laboratories such as blood banks, plasma centers, biomedical, research, pharmacy and healthcare always require a portable, low cost and web-based centralized wireless monitoring system. However, it has become more stringent to monitor various weather controlling devices of these laboratories in order to reduce the risk of non-compliance with accreditation requirements. In literature, it is inferred that the majority of existing event detection approaches relies only on precise value to specify event thresholds, but those values cannot adequately handle the imprecise sensor reading. Therefore, in this work, one of the soft computing technologies, fuzzy logic is adopted to demonstrate that fuzzy rule based value significantly improves the accuracy of event detection. The prototype built is tested in a physical laboratory as a personal mobile weather station for monitoring and analyzing the environmental conditions using fuzzy simulated values.

Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories using Arduino

2017 ◽  
Vol 13 (1) ◽  
pp. 50-66 ◽  
Author(s):  
S. Sasirekha ◽  
S. Swamynathan
Keyword(s):  
Monitoring System ◽  
Event Detection ◽  
Low Cost ◽  
Fuzzy Rule ◽  
Web Based ◽  
Sensor Reading ◽  
Rule Based ◽  
Wireless Monitoring ◽  
Physical Laboratory ◽  
Blood Banks

Weather controlled laboratories such as blood banks, plasma centers, biomedical, research, pharmacy and healthcare always require a portable, low cost and web-based centralized wireless monitoring system. However, it has become more stringent to monitor various weather controlling devices of these laboratories in order to reduce the risk of non-compliance with accreditation requirements. In literature, it is inferred that the majority of existing event detection approaches relies only on precise value to specify event thresholds, but those values cannot adequately handle the imprecise sensor reading. Therefore, in this work, one of the soft computing technologies, fuzzy logic is adopted to demonstrate that fuzzy rule based value significantly improves the accuracy of event detection. The prototype built is tested in a physical laboratory as a personal mobile weather station for monitoring and analyzing the environmental conditions using fuzzy simulated values.

Design and Implementation of Wireless Voltage Monitoring System Based on Zigbee

2017 ◽  
Vol 12 (3) ◽  
pp. 83-96 ◽  
Author(s):  
Luo Xiaohui
Keyword(s):  
Monitoring System ◽  
Single Phase ◽  
Low Cost ◽  
Moving Average ◽  
Voltage Sensor ◽  
Wireless Transmission ◽  
Phase Voltage ◽  
Medium Voltage ◽  
Wireless Monitoring ◽  
Three Phase

This paper proposed a low cost wireless monitoring system based on ZigBee wireless transmission, and designed a new floating voltage sensor which is suitable for the monitoring of medium voltage and high voltage(MV/HV) public equipment. The system used TI-CC2530 as the controller, proposed a new moving average voltage sensing(MAVS) algorithm by reasonable assumptions, and adopted algorithms to perform the theoretical analysis for the single phase and three-phase voltage. At last, the author carried out a practical experiment on the wireless floating voltage sensor under the voltage up to 30kV, the experimental results showed that the proposed low cost wireless sensor can achieve a good voltage monitoring function, and the error is less than 3%.

The Design of Elevator Monitoring Terminal Based on the GPRS

2013 ◽  
Vol 313-314 ◽  
pp. 1180-1183
Author(s):  
Qi Zhi Fang ◽  
Yong Zhe Ge ◽  
Hong Yu Xu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
High Reliability ◽  
Low Cost ◽  
Monitoring Network ◽  
Wireless Monitoring ◽  
Management Platform ◽  
Management Quality ◽  
Ip Transport ◽  
Development Prospects

The elevator monitoring system of elevator is an integrated elevator management platform that can realize fault for alarm, rescuing trapped persons, daily management, quality evaluation and preventing hidden trouble by using C8051f060 MCU as the control core to sensor and collect the elevator operation data, with built-in TCP/IP transport protocol and with HuaWei GTM900C GPRS module to realize all kinds of data monitoring of the elevator, and the transmitting of the data to processing server through the network . This paper mainly introduces the formation of wireless monitoring network system and communication protocol construction, and especially analyzes the function and the system architecture of the wireless communication terminal in real-time monitoring. GPRS can not only satisfy the requirement of real-time elevator monitoring system, with low cost and high reliability but can also effectively avoid a variety of problems that are caused by transmitting the alarm data through cables . This system provides many valuable experiences for the development of unattended system, and it has a broad development prospects.

Multi-criteria classification of spare parts inventories – a web based approach

2015 ◽  
Vol 21 (4) ◽  
pp. 456-477 ◽  
Author(s):  
S. P. Sarmah ◽  
U. C. Moharana
Keyword(s):  
Fuzzy Rule ◽  
Spare Parts ◽  
Multiple Criteria ◽  
Classification Model ◽  
Web Based ◽  
Rule Based ◽  
Content Type ◽  
Total Cost ◽  
Rule Based Approach

Purpose – The purpose of this paper is to present a fuzzy-rule-based model to classify spare parts inventories considering multiple criteria for better management of maintenance activities to overcome production down situation. Design/methodology/approach – Fuzzy-rule-based approach for multi-criteria decision making is used to classify the spare parts inventories. Total cost is computed for each group considering suitable inventory policies and compared with other existing models. Findings – Fuzzy-rule-based multi-criteria classification model provides better results as compared to aggregate scoring and traditional ABC classification. This model offers the flexibility for inventory management experts to provide their subjective inputs. Practical implications – The web-based model developed in this paper can be implemented in various industries such as manufacturing, chemical plants, and mining, etc., which deal with large number of spares. This method classifies the spares into three categories A, B and C considering multiple criteria and relationships among those criteria. The framework is flexible enough to add additional criteria and to modify fuzzy-rule-base at any point of time by the decision makers. This model can be easily integrated to any customized Enterprise Resource Planning applications. Originality/value – The value of this paper is in applying Fuzzy-rule-based approach for Multi-criteria Inventory Classification of spare parts. This rule-based approach considering multiple criteria is not very common in classification of spare parts inventories. Total cost comparison is made to compare the performance of proposed model with the traditional classifications and the result shows that proposed fuzzy-rule-based classification approach performs better than the traditional ABC and gives almost the same cost as aggregate scoring model. Hence, this method is valid and adds a new value to spare parts classification for better management decisions.

Fuzzy rule-based reasoning approach for event detection and annotation of broadcast soccer video

2013 ◽  
Vol 13 (2) ◽  
pp. 846-866 ◽  
Author(s):  
Monireh-Sadat Hosseini ◽  
Amir-Masoud Eftekhari-Moghadam
Keyword(s):  
Event Detection ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Soccer Video

scholarly journals Development and Testing of a Low-Cost Wireless Monitoring System for an Intelligent Tire

Machines ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 49 ◽  
Author(s):  
Giovanni Breglio ◽  
Andrea Irace ◽  
Lorenzo Pugliese ◽  
Michele Riccio ◽  
Michele Russo ◽  
...  
Keyword(s):  
Monitoring System ◽  
Polyvinylidene Fluoride ◽  
Low Cost ◽  
Experimental Tests ◽  
Cost Effective ◽  
Wireless Monitoring ◽  
The Road ◽  
Research Areas ◽  
Wireless Data Transmission ◽  
On The Road

Intelligent tire concept constitutes one of the approaches to increase the accuracy of active safety systems in vehicle technology. The possibility of detecting tire–road interactions instantaneously has made these systems one of the most important research areas in automotive engineering. This study introduces the use of cost-effective flex and polyvinylidene fluoride strain sensors to estimate some dynamic tire features in free-rolling and real working conditions. The proposed solution combines a microcontroller-based readout circuit for the two sensors with a wireless data transmission system. A suitable prototype was realized and first experimental tests were conducted, in the laboratory as well as on the road. The energy consumption of the wireless monitoring system was optimized. Simulated and experimental results validate the proposed solution.

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