GPRS Technology Research Articles

Design and experiment of an intelligent surface mobile robot for the microbial slow-release control of pollution

In this paper, to solve the current problems of water quality pollution of rivers, such as multiple types, high toxicity and difficult degradation, we design an intelligent surface mobile robot based on the slow release of microorganisms. In the robot, the skeleton has a ship-type structure welded with stainless steel equilateral angle steel; the function module comprises a power supply part, motor part, transmission part, and release part; the wireless monitoring module is based on GPRS and EtherCAT networking technologies and consists of four submodules, including a data acquisition submodule, transmission submodule, database server and monitoring center. The field test results show stable overall transmission performance and wireless data transmission performance of the robot. When the water depth of the rotating cylinder is 0.3 m, and the speed of the rotating cylinder is 15 r/min, the pollution control ability of the robot is outstanding. The experimental results also verify the feasibility of the robot in treating water pollution. The robot can greatly improve the mechanization, automation and efficiency of water pollution control and facilitate the centralized monitoring of joint operations, so it is worth popularizing.

Smart Helmet for Accident Rescue and Theft Avoidance

The impact when a motor cyclist involves in a high-speed accident without wearing a helmet is very dangerous and can cause fatality. Wearing a helmet can reduce shock from the impact and may save a life. There are many countries enforcing a regulation that requires the motor cycle's rider to wear a helmet when riding on their motorcycle, Malaysia is an example. A smart helmet is a special idea which makes motor cycle driving safer than before. This is implemented using GPRS(IOT)and GPS technology. GPS data using the GPS module that is interfaced to it. The working of this smart helmet is very simple, vibration sensor and alcohol sensor placed in different places of helmet When the data exceeds minimum stress limit then GPRS module automatically sends message to ambulance or family members. It also has an alcohol detector sensor which detects whether the person is drunk and switches off the engine if the sensor output is high. Vehicle access only authorized person using Iris image using MATLAB. Unknown persons access to indicate the alarm and turn off vehicle. Key Word: Vibration Sensor, Alcohol Sensor, GPS, GPRS, Buzzer, Microcontroller

Environmental Monitoring and Restoration of Ecological Cycle Index System Based on IoT Agriculture

Environmental factors have a direct impact on the development of agriculture, so it is particularly important to detect the environment of the agroecological cycle index system. Although there are some plans for environmental monitoring, most of them are environmental monitoring for a larger concept, but this study is specific to the actual object. This article takes farmland as the research object and comprehensively uses embedded technology, information monitoring technology, and network technology based on the analysis of the research status and system application of the farmland environmental monitoring system. This article studies and designs a real-time online remote monitoring system for farmland ecological environment based on embedded architecture and GPRS technology. By using sensors to obtain farmland information, it is displayed on the monitoring center and mobile client, and data information is obtained in real time. It manages and protects the farmland environment in advance. This article measures and analyzes the data from the final experiment. The experimental results show that the monitoring system can accurately collect farmland data in real time. And through the embedded server and the Internet, the data can be remotely transmitted in real time and displayed on the monitoring center and mobile client software. The results showed that PM2.5 was 30 μg/m3 at 20:00. The experimental data have the characteristics of real time and stability, which can meet the requirements of real-time network remote monitoring and transmission of data.

Performance based optimal selection of communication technologies for different smart microgrid applications

Transforming a traditional microgrid to a smart microgrid involves deploying a cost-effective and suitable communication system. Realistic data traffic estimates need to be computed at the design level for the optimum choice of wireless technologies to satisfy the communication demands, which is strategically an arduous problem. The present study involves the development of a data-driven decision-making strategy based on performance evaluation of various wireless network technology options to optimally select the technology for an associative smart microgrid application. A cost function integrating various smart microgrid applications and different wireless communication technologies is developed as the objective function. Major Performance Metric-based weights, such as data rate and delay, are incorporated into the cost function to enhance the performance of the developed strategy. The potential and adequacy of the developed strategy are examined by implementing a real-world smart microgrid case study in India. Based on the performance assessment results, it is suggested that existing RF and GPRS technologies be replaced by LTE 4G technology. The mathematical tool presented with the suggested approach is viable for decision-making in field applications because of its simplicity, ease of adaptation, and scalability.

Design on a Low Cost IoT Architecture for Greenhouses Monitoring

Currently, conventional agriculture has been modified by new quality and quantity requirements and also by changes in climatic factors. In this context, it is necessary to implement emerging technologies that help to optimize natural and economic resources. One of the technological alternatives for the agricultural sector is the implementation of automated greenhouses using the Internet of things concept. One of the difficulties in implementing automated greenhouses is the technical difficulty and cost associated with building these new approaches. This work presents an internet of things architecture to monitor the variables involved within a greenhouse, using wireless connection and internet communication to publish the collected data. The system evaluation was conducted using a mesh covered greenhouse and demonstrated that it is possible to develop low-cost architectures that can connect to the cloud via WiFi or GSM / GPRS technology to upload data to a web server. This information is the input for new approaches that enable the automatic management of greenhouses.

Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology

The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals. To target the characteristics of long application cycles and large coverage areas for environmental monitoring in large-scale livestock breeding, the current study designed a remote monitoring system to provide livestock environmental information based on LoRa wireless ad hoc network technology. The system consisted of collection terminals, control terminals, LoRa gateways, and Alibaba Elastic Compute Service. It realized real-time collection, wireless transmission, storage of multi-sensor node data, and remote control. The system was not limited by the selected time or region, because data interaction was achieved by accessing cloud servers using GPRS technology. Users could browse and obtain data from computers and a WeChat mini program from any location with network coverage. Additionally, the system used the improved receiver-based auto rate (RBAR) rate-adaptive algorithm in the LoRa wireless communication component. After application on a dairy farm, the results showed that the whole system collected 6140 sets of environmental data from four dairy houses. The packet loss rate was less than 1% within a communication distance of 604 m, and the communication success rate was greater than 99%. The control instructions were real-time and accurate, and the response time was less than 10 s, which met the remote control needs of large farms. The system provided powerful data and technical support for precision animal production. Keywords: remote monitoring, LoRa wireless ad hoc network, livestock environment, environment information, system DOI: 10.25165/j.ijabe.20221504.6708 Citation: Fu X, Shen W Z, Yin Y L, Zhang Y, Yan S C, Kou S L, et al. Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology. Int J Agric & Biol Eng, 2022; 15(4): 79–89.

Wireless monitoring algorithm of intelligent greenhouse based on fuzzy control

The existing greenhouse monitoring algorithm has a long delay time, so it is unable to carry out effective remote greenhouse monitoring, therefore, a new wireless monitoring algorithm based on the fuzzy control technolog was put forward, which was able to remotely monitor the greenhouse temperature, humidity and illumination data in real time. Firstly, the overall framework of greenhouse monitoring algorithm was built, including fuzzy clustering algorithm and sensing layer devices. Secondly, the temperature-humidity sensors and light sensitivity sensors in the sensing layer devices were used to deeply mine and optimize the parameters of temperature, humidity and light intensity in current greenhouse, so as to ensure the stability of subsequent transmission. Meanwhile, the corresponding perceptual recognition layer and broadband access method were designed, and GPRS technology was used to feed back the data information to the monitoring data layer through temperature-humidity sensors and light sensitivity sensors. Moreover, UDP protocol was taken as the data core transmission protocol, and the adaptive protection design algorithm was proposed to ensure the most reasonable transmission of monitoring data, get the current monitoring data of temperature, humidity and illuminance. The experimental results show that the maximum delay time of the algorithm is 46 s, which is far lower than the traditional algorithm, and the delay time of temperature monitoring is also lower than the traditional algorithm. It is results show that the response delay of remote intelligent greenhouse monitoring algorithm is low and the overall monitoring effect is ideal. The purpose of monitoring temperature, humidity and illumination can be achieved.

Research on BeiDou Satellite Positioning Algorithm Based on GPRS Technology

The BeiDou Satellite Navigation System of China can provide users with high precision, as well as all-weather and real-time positioning and navigation information. It can be widely used in many applications. However, new challenges appear with the expansion of the 5G communication system. To eradicate or weaken the influence of various errors in BeiDou positioning, a BeiDou satellite positioning algorithm based on GPRS technology is proposed. According to the principles of the BeiDou Satellite navigation system, the navigation and positioning data are obtained and useful information are extracted and sent to the communication network through the wireless module. The error is corrected by establishing a real-time kinematic (RTK) mathematical model, and the pseudorange is calculated by carrier phase to further eliminate the relativistic and multipath errors. Based on the results of error elimination, the BeiDou satellite positioning algorithm is improved and the positioning error is corrected. The experimental results show that the positioning accuracy and efficiency of the algorithm can meet the actual needs of real-time dynamic positioning systems.

Green Electric Energy Technology in the Automatic Monitoring System of Electrical Street Lamp Lighting

Low-carbon economy has become the focus of global development, and the concept of environmental protection has become increasingly popular. As a high-tech industry, LED green lighting not only represents the future development direction of green lighting, but also sets an example in environmental protection and energy saving. The article introduces a wireless monitoring system that Kingsun Optoelectronics uses the latest ZigBee and GPRS technologies for LED street lights. The real-time data in the street lamp controller of the system is transmitted to the cloud server through the data concentrator through the ZigBee node, and the cloud server processes the data and distributes it to the corresponding monitoring terminal. At the same time, the remote control of each wind and solar complementary street lamp can also be realized through each terminal. Experiments have proved that the system realizes the intelligent management and monitoring of street lights based on saving electric energy and ensuring the reliability of lighting. The use of this system can realize the monitoring of all street lights without leaving the house, and finally realize the low-carbon economy and sustainable development of urban lighting.

Wireless sensor network technologies

The content of this paper is determined by the relevance of wireless sensor network standards. The paper discusses the diversity of wireless networks. Personal wireless network standards are presented. In particular, a detailed analysis of GPRS technology is presented. Various data transmission protocols are presented. Data transmission speeds are briefly reviewed. The evolution of Bluetooth standards is presented. Data transmission rates are described. Standards for Bluetooth technology are discussed in detail, an overview of the advantages and disadvantages of these standards is given, and the variety of applications for wireless sensor networks is presented.

ON THE QUESTION OF THE EFFECTIVENESS OF NETWORK TECHNOLOGIES IN AUTOMATED GAS SUPPLY SYSTEMS

The topical issues of development of automated control systems of gas control stations (GCS) and ways of reliable and economical functioning of the gas supply system in modern conditions have been considered in the article. The implementation of European innovative technologies, which are associated with using the modern equipment, telemetry tools to transmit the equipment operation parameters to the dispatcher control panel are the one of the ways to increase the safety and efficiency of GCS performance. The characteristic of the modern complex of telemetry, the raising of efficiency, reliability and safe operation of the gas supply systems due to the possibility of monitoring, technological control and management from the central dispatcher control room are given. The complex of telemetry helps to prevent emergency situations at facilities and to ensure control over unauthorized entry into the GCS premises by unauthorized persons. The article discusses the use of the automated system of operative-dispatching management (ASODM). It is a multi-level automated system that ensures the reliable functioning of the gas supply system at all levels of the hierarchy. It has been shown that the result of the creation of the ASODM are equipping of the control object with microprocessor control and management devices, the integration of various automation tools into a single information management system. It has been proven that the development of ASODM of GCS on the basis of local control and management modules using traditional approaches to creation of automation systems and using the cellular telephone communication as data transmission channels based on GSM-technologies are most rational. The digital control device, which is made on the technological platform of the programmable logic integrated circuit (PLIC), is the main element of the local control and management module. Digital control device (PLIC controller) is a relatively inexpensive and reliable equipment in an automated local GCS control system. The method of data transmission via GSM / GPRS wireless communication channel is considered. The use of GSM-modems and GPRS technology allows to remove restrictions on the distance of data transmission, as well as allows to fully automate the process of transmission and processing of information. The use of GSM / GPRS-technologies in the vehicles of the emergency dispatch service is also shown. The dispatcher can fully monitor the movement of the car with registration on the map of the city where the car is located.

Design Automatic Control and Remote Monitoring System of Center Pivot Irrigation System Using Wireless Sensor Network (WSN) and GPRS Technology

The implementation of an automatic irrigation system based on the microcontroller and a wireless system network is presented in this paper. This implementation aims to demonstrate that automatic irrigation can be used to minimize and optimize water use. The automated irrigation system consists of the master control unit (MCU) and a distributed wireless sensor network (WSN). The communication between the WSN and the MCU is via a radio frequency (NRF25L01). The MCU has a radio transceiver that receives the sensor data from the wireless sensor network also has a communication link based cellular-internet interface using general packet radio service and a global system for mobile (GSM/GPRS). The activation of the automated system is done when the threshold value of the sensors in the WSN is reached. Each WSN consists of a soil moisture sensor probe, soil temperature probe, radio transceiver, and a microcontroller. The sensor measurements are transmitted to the MCU to analyze and activate/deactivate the automatic irrigation system. The internet connection using GPRS allows the data inspection in real-time on a server, where the temperature and soil moisture data are graphically displayed on the server using a graphical application and stored these data in a database server.

IoT based Smart Vehicle Monitoring System : A Systematic Literature Review

This paper provides a complete over view of the current research state of Smart vehicle tracking System with GPS and cellular network. This paper consists of several review aiming to reveal the relevance and methodologies of this research area and create a foundation for future work. In this paper an advanced vehicle observation and IOT based tracking system and autopilot navigation system based on Machine Learning and neural Networking is proposed with all possible scientific validations of the model. The primary purpose of monitoring the vehicles which are moving from one place to the other in order to provide better A.I based autopilot navigation system, safety and security. The proposed method Combined the idea of Java programming, Neural networking concept with machine learning capability processing data with MediaTek mobile processor and its sophisticated features of storing data into several databases. Google Map Engine API v3 was used to display and sense the graphical images of the map and a Vision recognition server system is used to compare and represent the map API in a more realistic look. The proposed project includes the implementation of Global Positioning System (GPS), GPRS and GSM technology for vehicle tracking and monitoring on real time basic purpose using SIM module.[3] The GPS receiver installed o tracking device provides real-time Geolocation Co-ordinate of site of the vehicle; 3 adjacent GSM cellphone tower stations will continuously broadcast co-ordinate of locations and the GPRS technology with TCP based protocol sends the tracking information to the central Monitoring and Imaging server which consist of 3 child servers i)data processing sever, ii) Image and vision based server and iii)A.I. based machine learning server calculate data and minimize the information and maps with the help of Google map API and thus an decision message for next Move/driving path is generated and transmitted to Smart Controlling Device to execute the instructions and to display it in the Monitor of car display and Integrated logged-IN andriod based Google Map API version 3 app on real time basic. Hence, this system will monitor all the driving steps of the driver and provide the real time driving suggestions and feedback to the driver to ensure smooth and safe driving experience. The sensors like temperature sensor ,altitude sensor and smoke sensor send data to the neural processing Server which diagnoses the health and safety measures of the vehicles and generates a report on Car display and andriod App interface if any risk issue is found by sensors.

Implementación de una red IoT con GPRS para monitorear los parámetros en un vehículo en tiempo real

This Project seeks a new alternative to connect wireless networks with the Internet of Things (IoT), both for the collection of information, transmission and reception of data in real time, facilitating the visualization of them through a database and generating historical reports which contributes to the supervision of vehicles on the roads. When working with the acquired data, these are constantly updated since it usually tends to lose valuable information, therefore, it is necessary to consolidate connectivity through GSM in conjunction with GPRS technology to implement a prototype and explore the operation of LoRa. This prototype focuses on census the parameters of speed, temperature, water level and fuel level through virtual platforms that give evidence of the status of each sensor incorporated in the vehicle, therefore, this wireless network design seeks to find the drawbacks that are presented in a section of poor accessibility to cellular coverage.

Design and Implementation of Healthcare Patient based General Packet Radio Service

In recent years the health monitor systems for patients was developed by using wireless technologies such as Internet of Things (IoT), Wireless Sensor Network (WSN), or Websites. In this research a patient's position in Google map, heartbeat rate, and temperature were measured and transmitted to the family or doctor based GPRS technology via the smartphone and microcontroller. This system has advantages of low cost design, Early warning of patient status through SMS message or email, position recognize based on GPS and fast of treatment patient.

Intelligent Environmental Monitoring System Based on Multi-Sensor Data Technology

Using multi-sensor data fusion technology, ARM technology, ZigBee technology, GPRS, and other technologies, an intelligent environmental monitoring system is studied and developed. The SCM STC12C5A60S2 is used to collect the main environmental parameters in real time intelligently. The collected data is transmitted to the central controller LPC2138 through the ZigBee module ATZGB-780S5, and then the collected data is transmitted to the management computer through the GPRS communication module SIM300; thus, the real-time processing and intelligent monitoring of the environmental parameters are realized. The structure of the system is optimized; the suitable fusion model of environmental monitoring parameters is established; the hardware and the software of the intelligent system are completed. Each sensor is set up synchronously at the end of environmental parameter acquisition. The method of different value detection is used to filter out different values. The authors obtain the reliability of the sensor through the application of the analytic hierarchy process. In the analysis and processing of parameters, they proposed a new data fusion algorithm by using the reliability, probability association algorithm, and evidence synthesis algorithm. Through this algorithm, the accuracy of environmental monitoring data and the accuracy of judging monitoring data are greatly improved.

Design of Remote Water Meter Reading System Based on GPRS Technology

With the rapid development of electronic technology and information technology, the management level of metering instruments continues to improve, and people hope that metering instruments can be automated as soon as possible. Therefore, it has become inevitable to realize the automatic transcription of various meters. The shortcomings of the traditional manual copying method have caused a certain economic loss to society. At present, most remote meter readings use SMS communication to report regularly. This meter reading method is relatively backward, high in cost, poor in real-time, and unable to accurately monitor the operation of on-site water meters in time. Therefore, this article first analyzes the advantages of GPRS and the characteristics suitable for remote meter reading of water meters, and then designs the overall structure of the remote meter reading system, and introduces the core implementation part of the remote meter reading software in detail, and realizes the design of remote meter reading system based on GPRS.

Monitoring Technology of Power System Operation State Based on Stereo Sensing

In recent years, the development of computer technology, automation control technology and communication technology has provided new hardware and software support for the implementation of distribution network operation monitoring. In the daily production of the oil field, the reliability and stability of the power supply are the key links to ensure the completion of the production tasks of the oil field. This paper studies the problem of scene depth reconstruction in panoramic technology. On this basis, the panoramic depth map is combined with the panoramic image, and the three-dimensional panoramic characteristics are reconstructed from the visual and environmental aspects of the stereo perception model suitable for its performance. This paper develops an oilfield distribution network operation monitoring system based on stereo perception, and develops corresponding system management software. This paper first determines the mathematical model of the distribution network line loss calculation, and introduces the principle of GPRS technology to formulate a specific network plan for distribution network operation monitoring. Finally, based on the terminal data collection method of CDD-IDT / GPRS, the development of terminal system management software is finally completed. Field test results show that the stereoscopic perception-based oil field distribution network operation monitoring system developed in this paper has high accuracy of accident prediction, strong real-time performance, stable and reliable operation, and the average transmission time of each data in the stereoscopic perception based monitoring network transmission It is 1.88 seconds, which can be displayed immediately after pre-loading.

Study on embedded system in monitoring of intelligent city pipeline network

The construction of an intelligent city needs healthy operation in all aspects. The monitoring of the intelligent city’s pipeline network in the paper is studied to ensure its healthy development. The surveillance and management system of urban underground pipeline network can improve the efficiency of network resource management, shorten the maintenance time of pipeline network, reduce the cost of resource consumption, resource management cost, and ensure the healthy operation of society. The pipeline network monitoring system is based on an embedded system, which can realize functions such as viewing, historical data query, trend analysis, alarm record query, data export, report generation, etc. The operation condition monitoring module mainly implements real-time monitoring and alarming functions for the state parameters, for example, temperature drop, pressure drop and flow velocity of each pipe section in the pipeline network, and integrates the temperature, pressure and flow data of the pipeline network and the customer terminal. The safe operation range of state parameters and alarm upper and lower lines are set by intelligent decision analysis system of pipe network and to judge the damage situation and countermeasures. The system integrates operation condition monitoring, corrosion monitoring, water hammer monitoring and other modules. Meanwhile, the monitoring interface integrates intelligent alarm and pipeline network structure information. After preliminary data processing, the system communicates with host computer data. The system also integrates the local alarm function of fault signal and valve control. Through GPRS technology as a data transmission channel and the interaction between the upper computer in the central control room and the embedded unit in the lower computer of scene. The pipeline operation parameters can be transmitted and the intelligent city pipeline network monitoring system can be realized, which plays an important role in the healthy development of the city.

A farmland-microclimate monitoring system based on the internet of things

Farmland's microclimate is a vital environmental factor that affects crop growth and yield formation. Based on clear perception, reliable transmission and intelligent processing of IoT concepts, a monitoring system of farmland microclimate is developed. The monitoring system consists of three layers. The perception layer integrates meteorological, soil, hydrological and other sensors to form a ground to air sensor cluster. The transport layer utilises the GPRS technology which covers the entire country for long distance and effectively transfers the collected data to the server in real time. The application layer is developed for receiving PC software and data storage. After three years of system operation, we have done statistical analysis on the length of life, the loss of data and the reliability of data. Results reveal that the system could ensure more than 80% of data integrity, and it can also secure good stability and reliability of the data.