The Design and Realization of Apple Orchard Intelligent Monitoring System Based on Internet of Things Technology

2012 ◽  
Vol 546-547 ◽  
pp. 898-902 ◽  
Author(s):  
Chen Feng ◽  
Hua Rui Wu ◽  
Hua Ji Zhu ◽  
Xiang Sun
Keyword(s):  
Decision Making ◽  
Monitoring System ◽  
Production Quality ◽  
Apple Orchard ◽  
Dynamic Monitoring ◽  
Sensor Technology ◽  
Agricultural Cooperatives ◽  
Intelligent Monitoring ◽  
Internet Of Things Technology

In order to reduce management costs of apple orchards, improve product quality of apples, and provide detailed, comprehensive and accurate electronic information for planting works, pest warning, and production quality tracking of apples, with the application of wireless sensor technology, by applied Zigbee technology, GPRS technology and IOT technology, on the basis of realization of apple orchard environment monitoring, this paper provides a design scheme of apple orchard intelligent monitoring system based IOT, and taking the modules of dynamic monitoring, farming suggestion, planting decision making, and information push in the system as examples, it explains the specific methods of applying IOT to the realization of apple orchard monitoring management in detail. This apple orchard intelligent monitoring system provides not only detailed monitoring data of apple growth for vegetable and fruit agricultural cooperatives, but also decision making support for farming. The research of the system will be helpful in promoting the extension and application of IOT technology in agricultural production.

scholarly journals Research on Equipment of Concrete Mixing Plant Based on The Internet of Things Technology

2021 ◽  
Vol 283 ◽  
pp. 02030
Author(s):  
Hualong Cai ◽  
Ming Ouyang ◽  
Chengyu Zhu ◽  
Zeming Xiao
Keyword(s):  
Production Efficiency ◽  
Production Quality ◽  
Integrated System ◽  
Whole Process ◽  
Modern Engineering ◽  
Concrete Production ◽  
Plant Equipment ◽  
Project Life ◽  
Internet Of Things Technology

Concrete plays an important role in modern engineering construction. Concrete quality relates directly to the quality of the project life cycle and the safety of people's lives and property. Based on the theories and methods of IOT technology, this article applies IOT technology to concrete mixing plant equipment, creatively proposes an integrated system of concrete mixing plants, to control the whole process and the whole cycle of concrete production, and improve the quality of concrete. The practical application of the system has greatly improved concrete production efficiency and production quality.

scholarly journals A Survey of Models, Technologies and Trends in Decision Making with Internet of Things

2019 ◽  
Vol 4 (1) ◽  
pp. 26-38
Author(s):  
You Ari Faeni
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Human Life ◽  
Smart Devices ◽  
Decision Making Process ◽  
Life Data ◽  
Decision Making Framework ◽  
Internet Of Things Technology

The development of IoT (internet of things) technology encourages increased use of smart devices and their supporting applications. The use of smart devices and applications that are growing rapidly and large will certainly produce large amounts of data and information. The next challenge is how to use the data and information generated to help people solve various problems that exist and improve the quality of human life. Data is analyzed into information, knowledge and in the end it will be used to make decisions. With all the features offered by IoT, decision making is expected to be easier and more precise, according to the expected goals. This paper will discuss the IoT architecture and decision-making framework with IoT. Furthermore, it provides an overview of the models, technology and development of the decision making process with IoT based on previously published papers (journals and conferences). The main purpose of making this paper is to provide insights for researchers about decision making with IoT.

scholarly journals IOT Warehouse Monitoring System

2021 ◽  
pp. 349-352
Author(s):  
Iramsaba Mushir Shaikh ◽  
Deepak Vijay Sinha ◽  
Varsha Narendra Shinde
Keyword(s):  
Monitoring System ◽  
Mobile Application ◽  
Web Application ◽  
Control Unit ◽  
Sensor Technology ◽  
Intelligent Monitoring ◽  
Refrigeration Unit ◽  
Temperature And Humidity ◽  
Human Effort ◽  
Internet Of Thing

Aiming at monitoring the temperature and humidity inside the refrigerator and managing information of the refrigerator internal. In this system, there is a design of an intelligent monitoring system based on the Internet of thing, realized monitoring temperature and humidity inside the refrigerator unit and the intelligent cargo identification process by using advanced technologies like MQTT, Cloud Computing, sensor technology and the wireless communication technology. The proposed system used an ESP32 as main control unit, DHT22, E18 Infrared sensor. The system is very powerful to monitor refrigeration unit from anywhere and anytime using mobile application. This system will be capable to do control and monitoring through mobile and web application. We will achieve the good result to data monitoring such as Temperature, humidity and door status with MQTT. It is satisfied with the performance through the analysis of monitoring system and experiment results for the designed refrigerated unit monitoring system. Moreover, this proposed system has main advantages which are minimize the human effort for the manual monitoring and loss due to uncontrolled environment.

scholarly journals Data Quality on Expanded Programme on Immunization in Pertussis Outbreak Affected District: The Case of Dara Malo woreda, Southern Ethiopia

2019 ◽  
Author(s):  
Mesele Damte Argaw ◽  
Binyam Fekadu Desta ◽  
Zergu Taffesse Tsegaye ◽  
Aychiluhim Damtew Mitiku ◽  
Afework Ayele Atsa ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Monitoring System ◽  
Southern Ethiopia ◽  
District Health ◽  
Cross Sectional ◽  
Wrong Decision ◽  
Outbreak Management ◽  
Immunization Status

Abstract Background: The aim of this study was to investigate the quality of immunization data and monitoring system in the Dara Malo district (woreda) of Gamo Administrative Zone, Southern Nations, Nationalities and Peoples Region (SNNPR) of Ethiopia. Method: a cross-sectional study was conducted from August 4 to September 27, 2019 in Dara Malo District. The district was purposively selected during the management of a pertussis outbreak based on the hypothesis ‘there is no difference in reported and recounted immunization status of children 7 to 23 months in Dara Malo District of Ethiopia’. A quality index (QI) and proportions of completeness, timeliness and accuracy ratio of the first and third doses of pentavalent vaccines and the first dose of measles-containing vaccines (MCV) were made. Results: in this study 336 month-facility data were extracted. In addition, 595 children aged 7 - 23 months, with a response rate of 94.3%, were assessed and compared for immunization status using register and immunization cards or caretakers’ oral report through the household survey. The ratio of vaccination data compared using tallies against the reports showed evidences of over reporting with 50.8%, 45.1% and 46.5% for first pentavalent, third pentavalent and first dose of measles vaccinations, respectively. Completeness of third dose of pentavalent vaccinations were 95.3%, 956% and 100.0% at health posts, health centers and at the district health office, respectively. The QI scores ranged between 61.0% and 80.5% for all five categories, namely, 73.0% for recording, 71.4% for archiving and reporting, 70.4% for demographic information, 69.7% for core outputs and 70.4% for data uses and were assessed as suboptimal at all levels. Conclusion: The immunization data completeness was found to be optimal. However, in the study area, the accuracy, consistency, timeliness and quality of monitoring system were found to be sub-optimal. Therefore, poor data quality has led to wrong decision making during the reported pertussis outbreak management. Enhancing the capacity of healthcare providers on planning, recording, archiving and reporting, analyzing, and use of immunization data for evidence-based decision making is recommended.

scholarly journals Design and Implementation of Sugarcane Growth Monitoring System based on RFID and ZigBee

2018 ◽  
Vol 14 (03) ◽  
pp. 96 ◽  
Author(s):  
Biqing Li ◽  
Yongfa Ling ◽  
Miao Tian ◽  
Shiyong Zheng
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Process Management ◽  
Southern China ◽  
Sensor Technology ◽  
Growth Monitoring ◽  
Labor Costs ◽  
Large Area ◽  
Intelligent Decision Making ◽  
Internet Of Things Technology

<p>Sugarcane is a kind of important sugar crops, which has been planted in large area of southern China, but traditional manual operation still applied on sugarcane planting and management at present, leading to higher labor costs. In recent years, the development of Internet of Things technologies such as wireless sensor technology, ZigBee, RFID, etc., as well as the application of technologies such as video image processing, automatic control, and 3S, etc. have provided technical supports for precision planting of agricultural production, visual management, and intelligent decision-making. This paper, relying on the Internet of things technology, has designed and implemented a set of sugarcane growth monitoring system according to the growth characteristics of sugarcane crops, this system has passed the test, and results showed that it can effectively monitor growing environment of sugarcane, such as temperature, humidity, crop plant height, thus realize the whole process management of agricultural automation.</p>

scholarly journals Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Cong Liu ◽  
Hongji Li ◽  
Qinkun Zhang
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Dynamic Monitoring ◽  
Sensor Technology ◽  
Support Vector ◽  
Quality Prediction ◽  
Water Quality Prediction

Water resource protection has an important impact on ecosystem security and human survival. Therefore, water quality testing and early warning of the sewage status are getting more and more attention. In order to solve the problems of information transmission delay and insufficient water quality prediction in current water quality monitoring, this paper proposes a wireless sensor-based dynamic water quality monitoring and prediction technology. Firstly, this paper uses the wireless sensor technology and ZigBee protocol to establish a sewage monitoring model and real-time dynamic monitoring of total nitrogen, total phosphorus, ammonia nitrogen, and other indicators of the water quality of the basin. Secondly, on the basis of wireless monitoring, a support vector algorithm is used to construct a water quality prediction model to make a reasonable prediction of the water quality of the watershed. Finally, the actual test results show that the technology can automatically and real-timely monitor the water quality of the watershed to meet the requirements of water quality monitoring in practical applications.

Research on Monitoring System of Daily Statistical Indexes under the Background of Big Data

2020 ◽  
Vol 13 ◽  
Author(s):  
ShengLi Hu
Keyword(s):  
Big Data ◽  
Monitoring System ◽  
Dynamic Monitoring ◽  
System Construction ◽  
Scientific Evaluation ◽  
Hospital Managers ◽  
Medical Quality ◽  
Rational Allocation ◽  
Actual Operation

Objectives: By means of constructing a monitoring system, the dynamic monitoring of various statistical indexes is realized, and scientific evaluation is carried out at the same time, so as to promote the rational allocation of medical resources in hospitals and help fine management. Methods: Starting from the design of the monitoring system database and main functions, the development of the monitoring system is started in the aspects of index collection, interface configuration, report display, data warehouse construction, etc., and then the key and difficult points of the system construction are analyzed. Results: Build a daily statistical index monitoring system under the background of big data, and help hospital managers master the actual operation of hospital medical quality, medical technology and resources. Conclusion: This is of great significance for improving the level of statistical informatization and ensuring the quality of statistical data.

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