ZigBee Communication Technology Research Articles

IIoT Low-Cost ZigBee-Based WSN Implementation for Enhanced Production Efficiency in a Solar Protection Curtains Manufacturing Workshop.

Nowadays, the Industry 4.0 concept and the Industrial Internet of Things (IIoT) are considered essential for the implementation of automated manufacturing processes across various industrial settings. In this regard, wireless sensor networks (WSN) are crucial due to their inherent mobility, easy deployment and maintenance, scalability, and low power consumption, among other benefits. In this context, the presented paper proposes an optimized and low-cost WSN based on ZigBee communication technology for the monitoring of a real manufacturing facility. The company designs and manufactures solar protection curtains and aims to integrate the deployed WSN into the Enterprise Resource Planning (ERP) system in order to optimize their production processes and enhance production efficiency and cost estimation capabilities. To achieve this, radio propagation measurements and 3D ray launching simulations were conducted to characterize the wireless channel behavior and facilitate the development of an optimized WSN system that can operate in the complex industrial environment presented and validated through on-site wireless channel measurements, as well as interference analysis. Then, a low-cost WSN was implemented and deployed to acquire real-time data from different machinery and workstations, which will be integrated into the ERP system. Multiple data streams have been collected and processed from the shop floor of the factory by means of the prototype wireless nodes implemented. This integration will enable the company to optimize its production processes, fabricate products more efficiently, and enhance its cost estimation capabilities. Moreover, the proposed system provides a scalable platform, enabling the integration of new sensors as well as information processing capabilities.

Remote Identification for Smart-meter Operation Error based on a Wireless Sensor Network in a Smart City

This paper presents a remote identification method for smart-meter operation errors based on a wireless sensor network (WSN) in a smart city to reduce the bad operation of smart meters. In the WSN, ZigBee communication technology was used to collect data from smart meters to enhance the reliability of information. The LEACH protocol can effectively extend the network life cycle and was selected as a communication protocol for WSNs to collect operation data from intelligent meters. Based on the operation data of a smart meter collected by a WSN, a remote identification model of operation error of a smart meter was established. The limited memory least square algorithm was adopted to construct the remote identification model of operation error for a smart meter to realize the remote identification of a smart-meter error in a smart city. The proposed method can use a WSN to collect operation data from a smart meter and remotely identify the mean absolute percentage error (MAPE) and root mean square error (RMSE) of a smart meter’s operation error, which were less than 1%.

Development of Digital Device Using ZigBee for Environmental Monitoring in Underground Mines

In underground mines, various mining activities may generate dust or vibrations, affecting workers’ health and safety. Therefore, for worker safety, we must monitor the environment and identify possible risks. However, it is difficult to install multiple sensors and acquire data simultaneously because of the difficulties of connecting to an external network in underground mines. This study developed a digital device to share acquired data by combining ZigBee communication technology with an accelerometer and dust sensor. In total, 29 vibration modules, 14 dust modules, and 2 coordinator modules were installed at Taeyoung EMC’s Samdo Mine in Samcheok, Republic of Korea. Because of its application, we could detect changes in vibration and dust before and after blasting. The dust density of the devices close to the blasting point increases rapidly up to about 230 µg/m3 and then decreases to about 180 µg/m3, and the dust density of the devices further increases over time. The dust density was usually maintained at a value of about 100 to 150 µg/m3 before blasting. The spatial distribution of the dust density of multiple devices was visualized using ArcGIS Pro. Although the wireless sensor network is well-established, some modules were temporarily disconnected from the network. In order to solve the problem of unstable network connection in some modules, change of network settings and line of sight analysis are required. Improvements in the technology developed in this study may help prevent potential hazards in underground mines.

Effective Integration of ZigBee Communication Technology and Internet of Things Technology

ZigBee technology is a representative standard of wireless communication technology with very low complexity, short distance, low rate, low power consumption and low cost. Internet of Things technology is the development trend. In order to achieve the effective integration of ZigBee communication technology and Internet of Things technology, improve the real-time transmission efficiency and form an exclusive communication system. This paper carries out wireless voice communication through the integration of ZigBee technology and Internet of Things technology, and puts forward the research topic of wireless voice communication. The ZigBee technology and the Internet of Things are organically integrated through the clustering algorithm, the shortcomings of the Internet of Things technology are solved by using the advantages of ZigBee, the relevant model is constructed, the designed relevant algorithms are grouped, and the efficiency of the fused algorithm is compared with the algorithm before the fusion. The experimental results show that in the packet delivery rate experiment, the delivery rate of the algorithm is very high, and the speed can reach 97% at 20m/s. At the same time, the experimental results also show that the control overhead of the AODV protocol is significantly greater than that of the AODVjr protocol, and the AODV protocol can save at least 16% of the cost compared with the AODVjr protocol. And when the speed increases to a certain extent, the difference in control overhead between the two will become larger and larger.

Research on solid-state fermentation process in a closed environment with multiple interferences

A closed battery detection system consists of a semiconductor alcohol sensor, a temperature sensor, a STM32F103 microcontroller, and a Windows 10 operating system computer. The ZigBee communication and RS485 communication technology are used to detect the temperature and alcohol concentration of the Dianchi Lake online, which solves the problem of manual sampling and damage to the sealing of the Dianchi Lake. Field tests have shown that the acquisition system data meets the manual physical and chemical test data.

Indoor environment online monitoring-based on ZigBee network

An online environmental monitoring system based on ZigBee wireless sensor network is designed to overcome the drawbacks of the traditional indoor environment monitoring system, such as the difficulty of wiring and the poor flexibility. The ZigBee communication technology, web server technology and GSM communication technology are synthesized, and the indoor temperature and humidity, carbon monoxide, formaldehyde concentration and other environmental information are collected and monitored in real time by various supporting sensors. Users can complete local and remote real-time monitoring of indoor environment by opening Web pages. When a fire or gas leak occurs, users will receive alert messages in time. Experiment show that the system has the advantages of stable operation, simple use and good flexibility, and has high practical value and wide application prospects.

Design of a Marine Environment Monitoring System Based on the Internet of Things

Chi, H.T.; Du, Y., and Brett, P.M., 2020. Design of a marine environment monitoring system based on the Internet of Things. In: Al-Tarawneh, O. and Megahed, A. (eds.), Recent Developments of Port, Marine, and Ocean Engineering. Journal of Coastal Research, Special Issue No. 110, pp. 256–260. Coconut Creek (Florida), ISSN 0749-0208.A good marine environment is the basis for the development and utilization of marine resources. Marine environment monitoring is an important part of marine environment protection. Therefore, the research on the marine environment monitoring technologies is of great significance. In order to realize intelligent monitoring of the marine environment, combining with the sensor technology, 4G communication technology and Zigbee communication technology, this study designed a marine environment monitoring system based on the Internet of Things (IoT). The system is composed of three parts: the information management subsystem, the data collection subsystem and the monitoring terminal subsystem; the structural composition and main implementation technologies of each subsystem are elaborated and the functions of each module in the system are tested by experiments. The test results show that, the IoT-based marine environment monitoring system can realize the functions of collecting, receiving, sending, analyzing, processing, querying and releasing marine environment data. This study provides a technical support for China's marine environment monitoring, and has important theoretical reference value for the research of intelligent marine environment monitoring in China.

Agricultural Environment Information Management

ZigBee communication technology was used to design the internal information transmission system of intelligent gateway in the monitoring system. Finally, the system was used to detect the changes of temperature and humidity in the environment in real time for verification. The results showed that Amazon AWS cloud service platform was used to build the monitoring system, while the application layer used Spring MVC system framework in J2EE platform to realize the storage of perception data, control of equipment, and analysis of data, and developed the DEMO system by using Amazon DynamoDB NoSQL database and RDS database to jointly store data. The results of this study show that the agricultural environment IOT monitoring system based on cloud computing can better realize the monitoring of relevant parameters in the crop environment, and can lay a foundation for the development of agricultural technology of follow-up facilities.

Intelligent Wireless Surveillance of Multirate Induction Motors

Recent advances in the automation field provide a wide range of scope in control and monitoring of the industrial systems. A very accurate automation system is on high demand in recent times. This paper mainly deals about remote monitoring and control of the induction motor. The main objective is to develop an embedded system to prevent the occurrence of line fault in a three phase system (say induction motor) and to display and control the parameters voltage, speed and temperature of the three phase system using Zig-bee communication technology. An ARM microcontroller is used in this project, which controls the entire operation of the system, which also communicates various parameters from one part of the system to other through Zig-bee technology. To prevent the issues of poor blunder elements and commotion affectability emerging in functional applications, the plan issue is changed into a proportional Linear Matrix Inequality (LMI) structure to understand a vigorous state criticism roughly by quick yield testing .The control objective is encircled with rise time, overshoot and settling time particulars. Subsequent to arriving at the consistent express the controller ought to look after solidness. To fulfill the above prerequisites a quick yield inspecting control calculation is planned with the end goal that the ideal shut circle conduct and shut circle soundness is accomplished. The exhibition of the framework is broke down for controlling the speed through wireless networks.

Improving Positioning Algorithm Based on RSSI

Nowadays, a large number of positioning studies based on RSSI technology mainly focused on the coordinate position by measuring the distance using the certain algorithm. The difference between calculated distance and real distance became rather lager due to the poor solution to improve the impact of environment to RSSI, and the bad repeatability. Resulting in the inaccuracy of positioning. According to the RSSI distance measurement technology and Zigbee communication technology, this paper investigated the distance between the unknown node and anchor node based on the “RSSI-Distance”. As the distance was less than 10 m or not, the position can be calculated by the “Mini-Max Positioning Method” or “Maximum Likelihood Estimation Method”, respectively. The results showed that this accuracy of this positioning system can be limited within 3 m.

Soil Temperature and Humidity Monitoring System Design for Farm Land Based on ZigBee Communication Technology

Based on the ZigBee wireless transmission network and sensor technology, the article designed a monitoring framework system to monitor temperature and humidity of farmland soil. The system can realize the remote acquisition of soil temperature and humidity information, real-time monitoring and threshold alarm. Based on TI protocol, this system forms a self-organizing network through coordinator node, router nodes and end devices, which transmit soil temperature and humidity information. Finally, the LCD screen of the coordinator displays the feedback information. Meanwhile, the coordinator analyzes the obtained data and controls the work of the buzzer and indicator light, so as to realize the farmland soil temperature humidity environment data remote transmission and real-time monitoring. The system can monitor soil temperature and humidity data accurately at a very low cost and has a broad application prospect among individual farmers.

Application of neural network to building environmental prediction and control

Energy conservation, environmental protection, and intelligence are topics of interest in intelligent buildings. However, the energy requirement of various electrical equipment in intelligent buildings increases energy consumption. This study presents a neural network-based prediction and control system for the regulation of building environmental parameters. Neural network-based soft sensing technology can detect building environmental parameters through few sensors. The proposed system control algorithm can realize the adaptive adjustment of environmental parameters by using a neural network proportional–integral–derivative controller. Zigbee wireless communication is adopted as the information transmission medium to realize the environmental parameter measurement and network control. The soft sensing technique combined with Zigbee communication technology can effectively reduce energy consumption. The central control system analyzes the data coming from the network and regulates the environmental parameter through lifting temperature, ventilation, and switching curtains by using the neural network proportional–integral–derivative algorithm. The regulation of environmental parameters reduces unnecessary energy consumption. Finally, the effectiveness of the system is verified through simulations. Practical applications: This work reports an energy saving scheme. The building communication system constructed by ZigBee can reduce energy consumption and can be easily expanded. The soft sensing technique based on artificial neural network can predict temperatures by using few sensors. The neural network proportional–integral–derivative control algorithm has good performance in the regulation of environmental parameters for a time-varying system. Building energy consumption can be reduced by conducting these measures.

Advanced Wireless Sensor Networks for Sustainable Buildings Using Building Ducts

The communication technology ZigBee has been widely adopted in wireless sensor networks (WSNs) for a wide range of industrial applications. However, although ZigBee provides low-power, low-cost mesh networking, it cannot guarantee steady and predictable network performance as channels are time-variant and highly attenuated by man-made obstacles. The networks also suffer from interference, especially in the important 2.4 GHz industrial, scientific, and medical (ISM) band. These degraded channel characteristics increase the number of hops, thus increasing both the packet error rate and transmission delays. In this paper, we report the deployment of a ZigBee-based WSN inside an existing building duct system utilized for intelligent waste collection in an industrial environment. The Received Signal Strength (RSS) and path losses were measured, revealing that the duct communication channel acts as a very effective waveguide, providing a more reliable and consistent network performance than conventional free space channels.

Study on Communication Methods for Electric Power High-voltage Equipment Monitoring System

Real-time monitoring of high-voltage equipment in substations is beneficial for early detection of faults. The use of wireless sensor networks to build monitoring system is an effective way, but the data collection is a difficult task. The author introduces a real-time monitoring system based on ZIGBEE and mobile communication technology. The system includes multiple monitoring points and terminal platforms. Each monitoring point consists of a number of sensor nodes to form a ZIGBEE network, detecting relevant parameters, coordinator node data collected one by one, known as linear transmission, and finally to the monitoring platform through the mobile communication network. This paper presents a fusion algorithm for monitoring cell data acquisition to reduce the amount of data uploaded to the base station. In addition, multi-hop routing algorithm based on opportunistic routing is proposed to balance network energy and improve network transmission rate and efficiency.

Temperature and Humidity Measuring System Based on ZigBee and GPRS

It is important for modern agricultural production to measure temperature and humidity in a real time way. This paper combined the short-distance wireless communication technology ZigBee with the long-distance wireless communication technology GPRS to design a solar-powered temperature and humidity measuring system. The system is easy to install and can run in low cost, so it is especially suitable for small and medium agricultural producers.

Design of Remote Data Acquisition System Base on ZigBee and GPRS

ZigBee technology is a small disadvantage of network coverage, this article will introduce GPRS wide-area wireless communication technology ZigBee network, ZigBee network to build a remote data collection and management system, and use intuitive embedded Web server to improve management efficiency. System test results prove that the system has good validity and reliability.

Study on Diagnosis of Engineering Mechanical Fault Based on Internet of Things

Based on the status of diagnosis of engineering mechanical fault, the service platform was set up. It could detect the condition of engineering mechanical equipment at any time by the communication technology ZigBee and GPRS and analyses the development tendency of equipment in order to diagnose the fault of engineering mechanical equipment and sustain it.

The Design of Concentrator in Power Energy Information Acquisition System Based on the Internet and Zigbee

Employing S3C2410 as the core component, a kind of concentrator in power energy information acquisition system based on the Internet and the short-distance communication technology Zigbee has been designed in this paper. The structure and function of the system has been introduced too. The Internet and Zigbee communications are realized and parts of the circuits and flow charts are given. This system uses the short-distance communication technology Zigbee to realize the data transmission between concentrator and collector, and then uses the Internet to carry the data to the superintendent center, and realizes the remote brail and management function. Empirical results show that this system can primly realize the itinerant excerption of the ammeters, the analysis of the statistical electric dosage, and the remote control of switch on and off. This system has the low cost, high reliability and stability, it can advance the automation level of the electric power management, and has a good foreground.

Wireless Sensor Network in the Photovoltaic Power Generation Monitoring System

The sensor layer in the monitoring and control system of Solar PV Power Generation collects PV array state information. The amount of solar PV array is so large and the distribution of solar PV array is so wide that cable connection isn’t suitable. The wireless communication technology ZigBee is a data communication network protocol based on the underlying short-range data 802.15.4, which can conveniently collect surrounding environment information and status data of photovoltaic power. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3139

A Study of an Efficient ZigBee Address Assignment Scheme for Home Area Networks of Smart Grid

In Home Area Network (HAN) of the smart grid, Power Line Communication (PLC) technology and ZigBee communication technology can be used in the communication among the Advanced Metering Infrastructure (AMI) devices. However, according to performance evaluation results of the PLC technology, we find that using the PLC technology is unsuitable for the remote meter reading service. It is worth noting that some parts of the PLC are converted to the ZigBee communication technology in Jeju, Korea. Compared with PLC, ZigBee has no restriction of the place, where the equipments can be freely set up, due to the advantage of radio communication. However, number of usable devices will impact the network performance which is depended on the address assignment. In addition, due to the restriction of transmission range among devices, it is difficult to apply the ZigBee address assignment method to the practical circumstance. In this paper, we examine the previous ZigBee address assignment schemes and the corresponding routing algorithms, and propose a novel address assignment scheme compared with the existing methods, the performance of the proposed one is improved. In particular, evaluation results show that the proposed scheme reduces the average number of hop count, the transfer time and the processing time.