scholarly journals Design of a State Monitoring System for Equipment based on the Zigbee Wireless Sensor Network

2016 ◽  
Vol 12 (06) ◽  
pp. 20 ◽  
Author(s):  
Li Hua ◽  
Xu Da ◽  
Fuquan Zhao

For the sake of overcoming the shortcoming of some equipment such as complex wiring and much measurement parameter, a wireless state monitoring system is developed based on Zigbee, which was composed of upper monitor control PC, wireless gateway CC2530, sensor node CC2530 and sensor module. By studying the characteristic of the equipment, wireless sensor network of a center controller and six wireless sensor node was made up. Then the nod hardware circuit were designed, the wireless module software was programmed by C language, and furthermore, the user interface software was developed based on LabVIEW. The test is done to show that the system can meet state monitoring requirements for some equipment.

2013 ◽  
Vol 347-350 ◽  
pp. 1920-1923
Author(s):  
Yu Jia Sun ◽  
Xiao Ming Wang ◽  
Fang Xiu Jia ◽  
Ji Yan Yu

The characteristics and the design factors of wireless sensor network node are talked in this article. According to the design factors of wireless sensor network, this article will mainly point out the design of wireless sensor nodes based a Cortex-M3 Microcontroller STM32F103RE chip. And the wireless communication module is designed with a CC2430 chip. Our wireless sensor node has good performance in our test.


2013 ◽  
Vol 475-476 ◽  
pp. 127-131 ◽  
Author(s):  
Jing Jiang Song ◽  
Ying Li Zhu

With the development of agricultural modernization, agricultural environment protection, Wireless Sensor Networks are used in the field of environmental monitoring for modern agriculture, which brings a broad and bright application prospects. The paper presents a real-time monitoring system based ZigBee wireless sensor network and GPRS network. The system gives the hardware design of wireless sensor node and software implementations. The system design provided a guarantee to achieve accurate, remote and real-time monitoring agricultural environmental information.


2012 ◽  
Vol 503-504 ◽  
pp. 1514-1517
Author(s):  
Hai Shen Peng

In view of static wireless sensor node deployment efficiency low and dynamic wireless sensor node deployment non-uniform question, proposed based on a sensation environment object minute bunch with the motion proxy node gathering data method, effectively solves wireless sensor node deployment energy management and data collection and so on crucial the technical difficult problems, thus enhances the wireless sensor network the application value


2015 ◽  
Vol 727-728 ◽  
pp. 666-669
Author(s):  
Hai Feng Li ◽  
Wei Rong Zhao

A sensor network is issued in this paper, which is used to monitor the enviroment parameters of greenhouse. Each sensor node of the system, which is composed of sensors and a microchip, could measure temperature, humidity, pH value of soil, air pressure etc. A GPRS module is used to complete data exchanging between remote monitoring platform and the wireless sensor network. This system is an application in agriculture field.


Repositor ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Rino Nugroho ◽  
Mahar Faiqurahman ◽  
Zamah Sari

Wireless Sensor Network (WSN) is a wireless network consisting of one or more nodes even numbering thousands. The nodes in the wireless sensor network (WSN) consist of sensor nodes and sink nodes. The use of wireless sensors on the network can form a node that can communicate with each other. The communication process generally uses a pull mechanism that precedes the data query process from the node to node sensor that provides sensing data. In some wireless sensor node architecture, this pull mechanism is considered less effective because the node sink must first request data to the sensor node. Alternative, a push message mechanism can be used to transmit sensed data within specified or determined time intervals.In this research is implemented push message mechanism by using restful web service in wireless sensor communications. Test results on the delivery of data by push data transmission obtained to sink nodes alternately in accordance with the order of destination address listed or stored in memory sensor node. And in doing data delivery to be efficient in the absence of data requests at any time.


2014 ◽  
Vol 1022 ◽  
pp. 245-248 ◽  
Author(s):  
Qing Tan ◽  
Jun Ling Qiao

Wireless sensor network through a set of connected by wireless sensor node sensing, collecting and processing information, has the characteristics of low cost, flexibility. The gateway device is also equipped with the GPRS communication unit, the GPRS communication unit is mainly composed of GM862 module. This paper uses GPRS technology to transmit physiological data, can not consider the establishment of wireless sensor network. The paper proposes design and application of the wireless sensor network system based on GPRS Technology.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhenqiang Feng

With the acceleration of urbanization, the problems in urban construction are becoming increasingly prominent, especially in air pollution. In order to deal with a series of problems brought by urbanization, the state has formulated the strategic layout of smart city construction. As an important measure and practice for the development of smart city, atmospheric environment monitoring is the premise of controlling atmospheric environment problems and plays a great role in environmental protection. The traditional automatic atmospheric environment monitoring station has complex structure, expensive price, and harsh working conditions, which is difficult to be popularized throughout the country. Aiming at the problems of poor expansibility and low intelligence of atmospheric environment monitoring system, an atmospheric environment monitoring system based on wireless sensor network is proposed. The system designs sensor module, networking module, gateway module, and monitoring interface, studies the accuracy of data collected by the system and the coverage of wireless sensor network, filters the environmental data collected by the sensor module, optimizes the layout of networking module by using improved virtual force algorithm, and finally tests the system. The experimental results show that the system realizes the remote monitoring of temperature, humidity, air pressure, and PM2.5 data, and the monitoring data is real and reliable. The improved virtual force algorithm improves the coverage of wireless sensor networks. Comparing the data collected by the system with the monitoring data of the cause control station, the average relative errors of PM2.5 and other particle parameters and NOx and other gas parameters monitored by the system are 3.81% and 3.48%, respectively; the system can be widely used in various environmental monitoring fields.


2017 ◽  
Vol 16 (3) ◽  
pp. 50
Author(s):  
I Gusti Putu Mastawan Eka Putra ◽  
Ida Ayu Dwi Giriantari ◽  
Lie Jasa

One implementation of the Internet of Things (IoT) conducted in this study to realize the system of monitoring and control of electrical energy usage-based Wireless Sensor Network (WSN). This research method is the design of wireless sensor nodes that can measure the electrical parameters of alternating current (AC) as effective voltage, effective current, active power, apparent power, power factor and total electrical energy consumption by using modules ESP8266 as a liaison with a Wi-Fi. Calculation of electrical parameters obtained from ATmega328P microcontroller ADC readings of a step-down transformer that is used as a voltage sensor and sensor SCT013 used as AC current sensors will be transmitted to the server over the network from a Wi-Fi Access Point (AP). ESP8266 modules are programmed using AT-Command proven to reliably measure can transmit data simultaneously with serial data format of the wireless sensor node to a server using TCP / IP protocol. Monitoring power consumption via the internet which are designed in the research, either through the Android application and web browser proven to be reliably able to show some electrical parameters with the same data than the data logger recaps taken from SD-Card installed in the wireless sensor node.


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