Research on Information Collection and Management of Improve ESIA’s Internet of Things Devices

2019 ◽  
pp. 1816-1822
Author(s):  
Kairong Chen ◽  
Hua Liu
Keyword(s):  
Internet Of Things ◽  
Information Collection ◽  
Collection And Management

Digital Strategies to Improve Food Assistance in Disasters: A Scoping Review

2021 ◽  
pp. 1-10
Author(s):  
Nina M. Martin ◽  
Samantha M. Sundermeir ◽  
Daniel J. Barnett ◽  
Ellen J. I. van Dongen ◽  
Lori Rosman ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Scoping Review ◽  
Disaster Response ◽  
Situational Awareness ◽  
Food Assistance ◽  
Data Types ◽  
Client Choice ◽  
Scoping Literature Review ◽  
Emergency Food Assistance ◽  
Collection And Management

Abstract Objective: Modern digital strategies, including Internet of Things, machine learning, and mobile applications, have revolutionized situational awareness during disaster management. Despite their importance, no review of digital strategies to support emergency food security efforts has been conducted. This scoping review fills that gap. Methods: Keywords were defined within the concepts of food assistance, digital technology, and disasters. After the database searches, PRISMA guidelines were followed to perform a partnered, 2-round scoping literature review. Results: The search identified 3201 articles, and 26 articles met criteria and were included in the analysis. The data types used to describe the tools were text/opinion (42.3%), qualitative (23.1%), system architecture (19.2%), quantitative and qualitative (11.5 %), and quantitative (3.8%). The tools’ main functions were Resource Allocation (41.7%), Data Collection and Management (33%), Interagency Communications (15.4 %), Beneficiary Communications (11.5%), and Fundraising (7.7%). The platforms used to achieve these goals were Mobile Application (36%), Internet of Things (20%), Website (20%), and Mobile Survey (8%); 92% covered the disaster response phase. Conclusions: Digital tools for planning, situational awareness, client choice, and recovery are needed to support emergency food assistance, but there is a lack of these tools and research on their effectiveness across all disaster phases.

scholarly journals Internet of things (IoT) based smart garbage monitoring system

2020 ◽  
Vol 20 (2) ◽  
pp. 736
Author(s):  
Thangavel Bhuvaneswari ◽  
J. Hossen ◽  
NurAsyiqinbt. Amir Hamzah ◽  
P. Velrajkumar ◽  
Oo Hong Jack
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Garbage Collection ◽  
Ultrasonic Sensor ◽  
Load Cell ◽  
The Internet ◽  
Iot Platform ◽  
Human Effort ◽  
Arduino Microcontroller ◽  
Collection And Management

<p>Garbage waste monitoring, collection and management is one of the primary concerns of the present era due to its detrimental effects on environment. The traditional way of manually monitoring and collecting the garbage is a cumbersome process as it requires considerable human effort and time leading to higher cost. In this paper, an IoT based garbage monitoring system using Thingspeak, an open IoT platform is presented. The system consists of an Arduino microcontroller, an ultrasonic sensor, a load cell and a Wi-Fi module. The Arduino microcontroller receives data from the ultrasonic sensor and load cell. The depth of the garbage in the bin is measured using ultrasonic sensor and the weight of the bin with garbage is measured from the load cell. The LCD screen is used to display the data. The Wi-Fi module transmits the above data to the internet. An open IoT platform Thingspeak is used to monitor the garbage system. With this system, the administrator can monitor and schedule garbage collection more efficiently. A prototype has been developed and tested. It has been found to work satisfactorily. The details are presented in this paper.</p>

scholarly journals Power Equipment Fault Information Acquisition System Based on Internet of Things

2020 ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Low Voltage ◽  
Collection Efficiency ◽  
Acquisition System ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Fault Information ◽  
The Internet Of Things

Abstract With the advent of the Internet of things era, many of the original power equipment and its fault information acquisition system have the problems of low efficiency, slow and inaccurate fault information collection speed, so the design of intelligent system is very important. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things, and analyze the collection speed and accuracy of the system. In this study, a power company in our city was taken as the experimental object to collect the fault information reported by the company, and put the new IOT fault information acquisition system into use in another company. After using for one month, the data collected by the power equipment fault information acquisition system of the Internet of things are compared with the original system, and the information collection amount, accuracy and acquisition speed are calculated. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%, and the F1 value of the power equipment information acquisition system of the Internet of things is 96.4%, which is much higher than 86.3% and 75.7% of other systems. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the power equipment information acquisition system of the Internet of things has higher accuracy and speed of information acquisition than the traditional system and other systems, and greatly improves the working efficiency of the system. The conclusion is that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized. It makes contribution to the optimization and intelligent development of power equipment fault information acquisition system.

scholarly journals A Microservice-Based Framework for Developing Internet of Things and People Applications

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 85 ◽  
Author(s):  
Aurora Macías ◽  
Elena Navarro ◽  
Pascual González
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Reference Architecture ◽  
Design Development ◽  
Application Layer ◽  
New Paradigm ◽  
P Application ◽  
Collection And Management ◽  
Domain Independent ◽  
The Internet Of Things

The Internet of things (IoT) is characterized by billions of heterogeneous, distributed, and intelligent objects—both from the digital and the physical worlds—running applications and services. Objects are connected through heterogeneous platforms providing support for the collection and management of data that need to be understood. Since IoT systems are composed by a variety of objects and services, a key aspect for engineering them is their architecture. The new paradigm called Internet of people (IoP) is not unaware of this need. In IoP, humans play an important role so that design considering aspects as context becomes critical for making the most of these applications. This work presents a context-aware, serverless, microservice-based, and cloud-centric framework for the Internet of things and people (IoT-P) applications that extends the three-layer classic IoT reference architecture. It integrates most of the aspects considered by the architecture of IoT solutions emerging from different perspectives, being also domain independent. This work focuses on the application paradigm of IoT neglected by most proposals. This framework, combined with a previous work, offers a higher separation of concerns (SoC) degree than other proposals, by splitting the application layer into different sublayers or subsystems based on their responsibilities and tracing atomic components to serverless microservices, to facilitate the design, development, and deployment of IoT-P applications. An IoT-P application in the healthcare domain is presented to illustrate how this framework can be put into practice.

scholarly journals IoT Monitory System Based Smart Trash Management

2019 ◽  
Vol 8 (6S2) ◽  
pp. 195-197
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Smart City ◽  
Cost Effective ◽  
Information Collection ◽  
The Internet ◽  
City Management ◽  
Waste Collection ◽  
Logistics Process ◽  
The Internet Of Things

The Internet of Things (IoT), as the anticipated infrastructure for the planned Smart City idea, offers fresh opportunities for city management. IoT vision presents promising and cost-effective alternatives for huge information collection and analysis that can be implemented in many areas, making them more efficient to operate. In this paper, we discuss one of Smart City's most difficult problems-municipal waste collections. We use our own genetic algorithm application to optimize the waste collection logistics process. The solution submitted offers calculation of more effective paths for garbage trucks. As an output, we provide a set of specified area-focused simulations.

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