ZigBee Wireless Communication Module Research Articles

Research based on open space collaborative intelligent fire system

The open space collaborative intelligent fire protection system studied in this article uses STM32F407 as the main control chip of the drone, and the STM32F103 is used as the main control chip of the fire truck. ZigBee wireless communication and other modules. The main innovation of this article is to use OpenMV's ground black line recognition positioning, the attitude fusion algorithm of the main controller module, and the PID control algorithm for real -time positioning of drones and fire trucks in the testing area of the test. After actual testing and verification, this system can complete the full coverage of the patrol area in different environments, fire identification in the patrol area, and fire extinguishing tasks. Through the ZigBee wireless communication module Essence.

Design of a Live Pig Breeding System Based on ZigBee

This paper designed a breeding system based on ZigBee. The system consists of an environment detection module based on ZigBee technology and a video monitoring module based on BP neural network algorithm. The environment detection module is a wireless sensor network based on ZigBee technology. The sensors with different functions interact with the data through the ZigBee wireless communication module, and monitor the environment under the coordinated control of the router and the main control. The video surveillance module adopts the deep learning mode based on BP neural network algorithm, with Raspberry PI as the main control unit, and equipped with deep learning algorithm to identify the body temperature and behavior of pigs, and facilitate the management of pigs by users. The system can effectively monitor the environment of pig houses, the behavior and health of pigs, and improve the efficiency of breed ink the data.

An intelligent fast controller for autonomous wheeled robot path navigation in challenging environments

PurposeThis paper aims to incorporate one intelligent particle swarm optimization (IPSO) controller to realize an optimum path in unknown environments. In this paper, the fitness function of IPSO is designed with intelligent design parameters, solving the path navigation problem of an autonomous wheeled robot towards the target point by avoiding obstacles in any unknown environment.Design/methodology/approachThis controller depends on randomly oriented positions with all other position information and a fitness function. Evaluating the position’s best values, this study gets the local best values, and finally, the global best value is updated as the current value after comparing the local best values.FindingsThe path navigation of the proposed controller has been compared with particle swarm optimization algorithm, BAT algorithm, flower pollination algorithm, invasive weed algorithm and genetic algorithm in multiple challenging environments. The proposed controller shows the percent deviation in path length near 14.54% and the percent deviation in travel time near 4% after the simulation. IPSO is applied to optimize said parameters for path navigation of the wheeled robot in different simulation environments.Originality/valueA hardware model with a 32-bit ARM board interfaced with a global positioning system (GPS) module, an ultrasonic module and ZigBee wireless communication module is designed to implement IPSO. In real-time, the IPSO controller shows the percent deviation in path length near 9%.

Training room management based on speech recognition and artificial intelligence

This paper starts from the basic principles of speech recognition, starting from acoustic models and features, and applies deep convolutional neural networks to speech recognition processing. It also introduces the overall process of speech recognition and mainstream algorithms to classify and summarize the speech recognition system. Due to the technological innovation of speech recognition and offline speech recognition systems, we found that traditional systems have low interactivity, poor flexibility, poor recognition command library, and other problems. We provide solutions for this paper according to the specific application environment. This paper introduces the design and implementation of an artificial intelligence teaching management system based on the Internet of Things (IoT) technology. Based on the design of the entire system, the system databases such as the video surveillance module, artificial intelligence security module, and remote control module are designed and realized the functions of these modules. Finally, RFID technology and database technology will be used to realize the informatization of training room personnel and equipment management, and the positioning and storage inspection of training room equipment. Secondly, from the perspective of environmental monitoring of the training room, temperature/ humidity sensors and optical sensors are used to complete the collection of real-time environmental data in the training room, thereby transmitting the data to the host system. It realizes the pairing through the Zigbee wireless communication module. Real-time monitoring of training room and management system. This paper introduces speech recognition and artificial intelligence into the management system of the training room so that the training can be better recorded and managed.

“Remote Health Monitoring of elder using Wearable Sensor.”

Abstract: Wearable physiological monitoring devices are used to monitor the health status of a Patient in Intensive Care Units (ICU). These systems are wired everywhere. A wireless Physiological parameter monitoring system is presented in this paper. Literature review carried out in the area of wearable physiological monitoring systems. The proposed system includes sensors for continuous collection and evaluation of physiological parameters. A wireless personal area network has been introduced for reliable transmission of physiological information. The hardware design of this patient monitoring system is based on 8051 microcontrollers. Microcontroller acts as the gateway to ZigBee and GSM module. ZigBee wireless communication module has the advantage of lower power consumption which is attractive for portable applications. This system provides safe and accurate monitoring. It also gives the freedom of movement. The proposed system can be used to monitor the physiological condition of a person in out of hospitalcondition also. Keywords: Pulse Sensor, Temperature Sensor, ZigBee,Microcontroller, LCD, Buzzer Arduino.

The Use of ZigBee Wireless Communication Technology in Industrial Automation Control

With the accelerating process of world industrialization, countries pay more attention to industrial modernization. In order to solve the problems of traditional control technology and system with low accuracy, high energy consumption, and high delay in industrial automation control and the difficulty in adapting to the new industrial production process, the new industrial automation control system is discussed and studied. The industrial automation control is studied, and a new monitoring system is designed for automation control by using ZigBee wireless communication technology. The design of the system data communication scheme is completed by the in‐depth study and summary of ZigBee wireless communication technology. The hardware structure and software structure of ZigBee wireless communication module are designed, and the wireless monitoring system using ZigBee is established. Taking the production workshop of a pharmaceutical factory as the monitoring object, the working stability and data transmission efficiency of the model are tested. The experiment shows that the ZigBee wireless transmission model has lower temperature and better stability than the wired transmission system in the working process. Compared with the traditional wired control system, the temperature of ZigBee wireless control system is lower when it works. The difference between the highest temperature and the lowest temperature is 0.1°C. In the overall work flow, the system temperature is lower than that of the wired control. ZigBee wireless control has good stability. Subsequently, the method of manually setting obstacles is used to test the effectiveness of data transmission. The experiment found that in the absence of barrier, the maximum effective transmission distance was 40 meters, and the packet loss rate was very low, which could ensure the timeliness of data. Therefore, this system can be applied to industrial automation control. The research results can provide some reference for the design of new control systems in other industrial control fields. The improved system can also be applied to other industries. ZigBee is a short‐range technology for wireless sensor networks, and it is a two‐way communication technology with low power consumption, low data rate, and low cost. It can be applied to automatic control and remote control. This provides a platform for wireless networking and control of small and cheap devices. ZigBee will not compete with connection technologies such as Wi‐Fi. Meanwhile, it will greatly stimulate the progress of the industrial market.

On-line monitoring of mine tunnel deformation using laser radar

Mine tunnel deformation blocks underground coal mine traffic, or even cause serious security incidents. Aiming at the problem of lack of monitoring method of tunnel deformation, this paper presents a method of tunnel deformation measurement based on laser-radar technology. The measurement method is a non-contact and on-line measurement method. The system is mainly composed of two parts, the host part is composed of computer, ZigBee module and processing software system based on Processing, the slave part is composed of four-rotor craft, STM32 microprocessor, laser radar, ZigBee wireless communication module and power supply module. The new tunnel deformation measurement method based on radar proposed in this paper has the advantage of smaller measurement data error, the data communication and processing speed is qualified and suitable for on-line monitoring.

Design of the VRLA Battery Real-Time Monitoring System Based on Wireless Communication.

The VRLA (valve-regulated lead-acid) battery is an important part of a direct current (DC) power system. In order to resolve issues of large volume, complicated wiring, and single function for a battery monitoring system at present, we propose to build a novel intelligent-health-monitoring system. The system is based on the ZigBee wireless communication module for collecting voltage, temperature, internal resistance, and battery current in real-time. A general packet radio service (GPRS) network is employed for interacting data with the cloud-monitoring platform. The system can predict the remaining capacity of the battery combined with the software algorithm for realizing real-time monitoring of the battery’s health status and fault-warning, providing a basis for ensuring the safe and reliable operation of the battery. In addition, the system effectively integrates most of the circuits of the battery status collector onto one chip, which greatly reduces the size and the power consumption of the collector and also provides a possibility for embedding each VRLA battery with a chip that can monitor the health status during the whole life. The test results indicate that the system has the characteristics of real-time monitoring, high precision, small-volume, and comprehensive functions.

Wireless Sensor Network with Power Management System for Water Level Regulation in Paddy Fields

Paddy cultivation is one of the major crops cultivated in India. Normally paddy cultivation is grown twice in a year, where the consumption of water is high during the cultivation. The monitoring of the water level continuously is a little bit tedious to the farmer. However, with the assistance of advanced technology, the burden on the farmer can be reduced. So, in this study, we are proposing the Wireless Sensor Network (WSN) architecture-based water level regulating system. WSN architecture consists of three nodes like sensor node, cluster head node, and sink node. With the assistance of the float sensor and ZigBee wireless communication module, the sensor node which is deployed in the paddy field senses the water level data and communicates to the sink node. The cluster head node monitors the sensor nodes of the cluster of paddy fields and controls the actuator concerning the water level. Sink node is generally located nearby farmer location, with the assistance of sink node the farmer observer the status of water level in their paddy fields in the LCD display. This system enhances in maintaining the optimal level of water and also reduces the burden on the farmer for continuous monitoring. Especially the sensor node follows the power management system, where the power interruption is avoided.

Design of Dynamic Automatic Control System for Mariculture Water Quality under Internet of Things Environment

Zhang, S. and Chen, J., 2018. Design of dynamic automatic control system for mariculture water quality under internet of things environment. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 637–641. Coconut Creek (Florida), ISSN 0749-0208.The dynamic automatic control system of mariculture water quality was proposed, the main control processor of system used Mini2440 development board. The data transmission module used ZigBee wireless communication module and USB WIFI module to complete the data transmission network, which was forwarded by the Zigbee router. The control part communicated through the communication module and the control cabinet of aquaculture pond site, so as to realize the remote control and dynamic automatic control for farming equipment. Users could complete the remote access through the monitoring platform. Experimental result shows that the system can effectively improve the level of dynamic management of mariculture water quality. It has superior control performance.

Characterization of a low consumption wireless sensor node for the intensive transmission of physiological signals

<span>This paper describes the development and implementation of low power consumption wireless sensor nodes for the periodic monitoring of physiological signals with intensive data transmission, using Wi-Fi and ZigBee wireless communication modules, obtaining operation characteristics from the energy point of view that allow to increase the life time of the sensor node. The sensor nodes are designed and built using low energy consumption electronic devices to evaluate their energy performance using current data, transmission time, data transmission period and the relationship with the sensor node's lifetime when transmitting electrocardiographic (ECG), temperature and pulse type physiological signals. The development of this work generates recommendations for the design, development and construction of sensor nodes where the energy consumption of the wireless communication modules is evaluated. In this way, results are obtained that can allow the data transmission period, current consumption and size of data sent to be related to the operating time, defining the operating conditions and wireless technologies that allow the optimization of energy consumption when data is sent to Internet monitoring applications.</span>

Wearable Wireless Body Area Nodes for Remote Physiological Signal Monitoring System

Wearable remote health monitoring systems have gained significant prominence in the recent years due to their growth in technological advances. One form of the Wearable Physiological Monitoring System (WPMS) is the Wearable Body Area Networks (WBAN) used to monitor the health status of the wearer for long durations. The paper discusses a prototype WBAN based wearable physiological monitoring system to monitor physiological parameters such as Electrocardiogram (ECG) and Electroencephalogram (EEG) acquired using a textile electrode, Photoplethysmogram (PPG), Galvanic Skin Response (GSR), Blood Pressure derived from analysis of Pulse Transmit Time (PTT) and body temperature. The WBAN consists of three sensor nodes that are placed strategically to acquire the physiological signals and the sensor nodes communicate to a chest/wrist worn sink node also known as wearable data acquisition hardware. The sink node receives physiological data from the sensor nodes and is transmitted to a remote monitoring station. The remote monitoring station receives the raw data and it is processed to remove noises, such as power line interference, baseline wander and tremor in the signals and the information is extracted and displayed. The WBANs are designed using the ZigBee wireless communication modules to transmit and receive the data. At the remote monitoring station the physiological parameters such as heart rate, pulse rate, systolic, diastolic blood pressure, GSR and body temperature are continuously monitored from the wearer. The data acquired from the wearable monitoring system is statically validated using a qualified medical device on 34 subjects.

Design of Water Quality Monitoring System for Aquaculture Based on ZigBee

The aquaculture industry is developing on a large-scale. Now most aquaculture households use the artificial way of water quality diagnosis, decision-making and adjustment, the data cannot accurately reflect the water quality status. The data acquisition node used distributed self-organizing network structure, it accomplished the detection of water temperature, pH value, dissolved oxygen, conductivity and other water quality parameters. ZigBee wireless communication module was used to the data exchange between the data acquisition node and router node, router node and coordinator node medium. The synchronization of the whole network node to sleep and wake up was realized using the time synchronization algorithm, it greatly reduced the system power consumption. The system was tested in Sanya university natural lake, it can realize the monitoring function of aquaculture water quality parameters, all-weather real-time transmission of information and automatic regulating or remote manual adjustment according to the preset dissolved oxygen content.

Speech Recognition Based Home Automation System using Raspberry Pi and Zigbee

In this era, there is a great revolution in the home automation industry. Considerable development in speech recognition software and wireless communication modules has given home automation a new edge. This system is very helpful for medical patients, disabled and elder people, especially those who live all alone without any helping hand. The home automation system is separated in two major sections, base station and remote station. The base station and remote station are wirelessly connected through low powered RF ZIGBEE wireless communication module, which is an IEEE 802.15.4 standard. For speech recognition purposes, one of the finest credit card sized computers, Raspberry pi, is used within the base station. All along with this a simple microcontroller is used to control the switching of electrical appliances and lights of home within remote station, which works according to the command generated from base station. The aim of this paper work is to design a speech recognition based home automation system which is most efficient, user friendly, low in cost, compact in size, easy to install and latest in technology.

Development of a Crop Growth Detecting System

Abstract: In order to monitor crop growth in real-time, a new crop detection system was developed to measure spectral reflectance of crop canopy, which was based on ground-based remote sensing and wireless sensor network (WSN) technology. The system mainly contains two parts: the controlling unit and the measurement unit. The controlling unit was a PDA in which was embedded a ZigBee wireless communication module. And as the coordinator of the whole wireless sensor network, the controller was used to receive, display, store and process all the data from different optical sensor nodes. The measurement unit, including four optical channels, was designed to collect, amplify and transmit the optical signals. The sensor node can measure the spectral reflectance at the wavelength of 550, 650, 766 and 850 nm. Calibration test was conducted. The result showed a good performance in terms of the wireless transmission ability and the sensor measurement precision. Field experiments were also conducted in a winter wheat experimental field, and the NDVI values calculated from the spectral data can reflect different nitrogen stress and the chlorophyll content of winter wheat. The result shows that the system can meet the demands of practical use in the field and has potential for field application.

A New Low-Cost Centralized MPPT Controller System for Multiply Distributed Photovoltaic Power Conditioning Modules

In this paper, an integrated maximum power point tracking (MPPT) controller system using a ZigBee wireless communication module is proposed for multimodal power converters as a concept of an intelligent photovoltaic (PV) module of PV power conditioning systems. The proposed scheme can integrate all information under a single host controller to realize low-cost manufacturing. It can also simplify the monitoring and supervision processes through machine-to-machine communications for the smart-grid. The voltage and current information for each module are periodically sampled and transferred to the central inverter (or another host server) through the ZigBee module. After the transmission process, the MPPT control algorithm derives each of the PV voltage reference parameters to return to each PV module accordingly. The technical benefits of the proposed approach is the configuration of a PV-controller system composed of a single digital-signal processor (DSP), low-cost analog controllers, and some mandatory communication peripherals used to monitor the distributed multimodules. Also, the method is quite desirable for supervision and monitoring of the overall system due to its centralized control structure. For the experimental validation of the proposed MPPT control, multiple ZigBee (XBee-PRO series) modules, as well as a DSP, dual-module solar simulators, and a couple of 50 W dc–dc power conversion hardware prototypes were utilized.

An Intelligent Wireless Sensor Networks System with Multiple Servers Communication

For shortcomings of current smart home system and power line carrier insufficient data transferring, an intelligent sensor networks system based on intelligent gateway is studied in this paper. Smart home system includes internal network, intelligent gateway, and external network. Multiple servers are designed in gateway, which start at the same time and receive various forms of data. Then data is processed for internal network format. External network includes several modes of communication such as TCP/IP, UDP, and pipe. Internal network includes ZigBee wireless and power line carrier (PLC) communication. Power line carrier protocol is improved, and it expands data transmission capacity to accommodate communication needs of modern family. Smart home system is designed as modules, such as intelligent gateway module, power line carrier communication module, ZigBee wireless communication modules, and appliance within electric equipment. Finally this system is physically designed and verified. The smart home system introduced in this paper has easily used and has strong compatibility.

Intelligent Greenhouse Control System Design Based on RF Technology Research

Greenhouses in the growth of the crops will often because of unfavorable environment not good growth, in order to be able to effectively control the temperature inside the greenhouse greenhouses, humidity, light intensity, make inside the greenhouse crop growth environment to fulfill the requirements of the best. This system by using HOLTEK series single-chip microcomputer as the control center, with various sensors for detecting module, peripheral equipment and control system in all parts of the corresponding function. Mainly by the power supply module, temperature and humidity and light intensity detection module, keys module and ZigBee wireless communication module, display module, a real-time monitoring environment, data display, automatic control function, can effectively control the growth of crops in good environment and the unnecessary waste of resources. At the same time, this system in warehouse management, flower cultivation, aquaculture, and other fields also have broad application prospects.

The Research and Design on the Monitoring Platform Based on the Internet of Things

Multiple sensors with ZigBee wireless communication module composed of environmental monitoring network platform. With ZigBee server/gateway support, this platform could achieve the connection to the Internet, remote monitor temperature, humidity, smoke, noise, etc. through the Internet network, and achieve ZigBee LAN monitoring and status display. The main contents of this paper are as follows : 1the analysis of ZigBee protocol stack layers of protocol network routing protocols, network topology , etc. 2the research of networking in the form of ZigBee, to build the ZigBee network with a star network topology. 3research ARM platform, understand the Linux operating system, and build embedded Web server. Meanwhile, ZigBee server hardware and software platform is built on this ARM platform, porting ZigBee transceiver modules to realize the ZigBee-based wireless gateway. 4the research of checking buildings , humidity, smoke , noise, heat hydroelectric and other states which need to be monitored remotely through servers.

A PEM Fuel Cell Diagnostic System Using the Extension Theory

Composed of a single proton exchange membrane fuel cell (PEMFC), a sensor module, and a ZigBee wireless communication module, a fault diagnostic system is proposed in this work to monitor the operation of a fuel cell system. Accordingly, such quantities as cell's output voltage, current, operating temperature, and pressures of gases supplied are monitored. Subsequently, an extension matter-element model is built according to malfunctions of the fuel cell system, which are further categorized into 7 types, each with 12 sorts of characteristics. An extension evaluation method is then directly applied to diagnose such fuel cell system. A human machine interface built under LabVIEW 2009 is incorporated in such a way that a fault(s) can be detected and fixed in a timely manner such that the life cycle of such fuel cell system can be extended.