Building Monitoring and Diagnostics: A Web-Based Approach

2016 ◽  
Vol 861 ◽  
pp. 556-563 ◽  
Author(s):  
Matthias Schuss ◽  
Stefan Glawischnig ◽  
Ardeshir Mahdavi
Keyword(s):  
Low Cost ◽  
Raspberry Pi ◽  
Data Repository ◽  
Multiple Sources ◽  
Data Logger ◽  
Present Contribution ◽  
Web Based ◽  
Building Monitoring ◽  
And Performance ◽  
Set Up

Efforts toward optimized building management and operation require monitoring data from multiple sources. Experiences from previous research projects underline the need for an easily adaptable, low-cost, and easy to set up monitoring infrastructure that could provide data for modeling and performance evaluation. The increasing availability of small and powerful development boards (e.g. Raspberry Pi BeagleBoard or Arduino) facilitates the implementation of a cost-efficient infrastructure for data collection and building monitoring. For the purpose of the present contribution, the Arduino Yún was used to create a data logger that obtains data from wireless sensors, stores it locally, and syncs it with a data repository. Toward this end, we have developed a web-based user interface that enables the user to evaluate various aspects of the monitored building's performance. The communication between the software components is implemented via RESTful interfaces and enables the user to integrate also other data sources such as web services. The paper includes an actual implementation of the above approach. Thereby, we illustrate how the constitutive system components can be integrated in terms of a versatile monitoring system with multiple utilities in terms of building performance assessment and building diagnostics.

Prototyping and Simulated Analysis of Autonomous Swarm-Bots

2018 ◽  
Author(s):  
Maulikkumar Dhameliya ◽  
Sidharth Sher ◽  
Souma Chowdhury
Keyword(s):  
Low Cost ◽  
Raspberry Pi ◽  
System A ◽  
Simulated Environment ◽  
3D Printed ◽  
Modular Platform ◽  
And Performance ◽  
Small Form Factor ◽  
Rate Of Success ◽  
Simulated Analysis

Teams of small (mm-to-cm scale) robots, often known as swarm-bots, can provide unique functionality owing to their small form factor, distributed sensing capabilities, resilience to disruptions and agent-loss, and likely low cost. Such swarm-bots are being increasingly touted to support various indoor surveillance, hazard detection, and search and rescue missions. This paper presents the conceptual design, fabrication, and testing of a new cm-scale wheeled swarm-bot. Simulated investigation of a simple particle-swarm-inspired approach to coordinated path planning for these swarm-bots is also presented. The swarm bot is developed around a modular platform, comprising snap-on (3D printed) structural components, a stepper-motor actuated wheel system, a Raspberry Pi computing node, a wireless radio module, a Lipo battery, and proximity sensors; all components are readily detachable, thereby allowing reconfiguration flexibility. Through three design generations, a stable prototype offering >20cm/s speed and ∼50 min endurance, was developed, assembled and tested. A virtual simulated environment is developed by combining MATLAB-based modules and a V-Rep environment, in order to simulate the coordinated operation of these swarm-bots. A 78% rate of success in completing target (light source) search missions was observed during the numerical experiments, and performance robustness was observed to improve with increasing swarm size.

scholarly journals PRELIMINARY TESTS OF A NEW LOW-COST PHOTOGRAMMETRIC SYSTEM

2017 ◽  
Vol XLII-2/W8 ◽  
pp. 229-236 ◽  
Author(s):  
M. Santise ◽  
K. Thoeni ◽  
R. Roncella ◽  
S. W. Sloan ◽  
A. Giacomini
Keyword(s):  
Large Scale ◽  
Quality Evaluation ◽  
Low Cost ◽  
Raspberry Pi ◽  
Test Cases ◽  
Test Conditions ◽  
Surface Models ◽  
Set Up ◽  
Real Test ◽  
Good Agreement

This paper presents preliminary tests of a new low-cost photogrammetric system for 4D modelling of large scale areas for civil engineering applications. The system consists of five stand-alone units. Each of the units is composed of a Raspberry Pi 2 Model B (RPi2B) single board computer connected to a PiCamera Module V2 (8 MP) and is powered by a 10 W solar panel. The acquisition of the images is performed automatically using Python scripts and the OpenCV library. Images are recorded at different times during the day and automatically uploaded onto a FTP server from where they can be accessed for processing. Preliminary tests and outcomes of the system are discussed in detail. The focus is on the performance assessment of the low-cost sensor and the quality evaluation of the digital surface models generated by the low-cost photogrammetric systems in the field under real test conditions. Two different test cases were set up in order to calibrate the low-cost photogrammetric system and to assess its performance. First comparisons with a TLS model show a good agreement.

Integrated Smart Home Model

2022 ◽  
Vol 17 (3) ◽  
pp. 1-14
Author(s):  
Nurshahrily Idura Ramli ◽  
Mohd Izani Mohamed Rawi ◽  
Fatin Nur Nabila Rebuan
Keyword(s):  
Industry 4.0 ◽  
Smart Home ◽  
Academic Programs ◽  
Raspberry Pi ◽  
Web Interface ◽  
Web Based ◽  
Learning Platform ◽  
Hands On ◽  
Hands On Learning ◽  
Set Up

Today, in the realm of Industry 4.0, vastly diverse Internet of Things (IoT) technology are integrated everywhere, not to mention included in academic programs in schools and universities. Domain ratio of the final year projects in Universiti Teknologi Mara exposes a staggering hype in IoT as compared to other domains despite not having IoT included in any of the courses. Meanwhile, to fulfill the needs of the student in exploring this technology, an integrated IoT learning platform is developed. It integrates an IoT smart home model and a web-based interface as a learning platform to inspire hands-on learning for the students. The raspberry pi, motion sensor, analog gas sensor, atmospheric sensor, ultrasonic proximity sensor, and rain detector sensor are integrated together in a Lego-built smart home model where its connectivity and readings are displayed in a simple web interface to enable and inspire learning. A manual to set up the entire model is also prepared as a guide for students to set up and further explore the functionalities and operabilities of “things”.

A Middle-Ranking Cadre of Universities Evaluation Management Information System Based on SOA

2013 ◽  
Vol 462-463 ◽  
pp. 1068-1071
Author(s):  
Zhi Biao Li ◽  
Guo Lin Nie ◽  
Qun Zheng ◽  
Hong Liu ◽  
Chun Hua Liao
Keyword(s):  
Information System ◽  
Software Reuse ◽  
Management Information System ◽  
System Integration ◽  
Low Cost ◽  
Management Information ◽  
Loosely Coupled ◽  
Independent Information ◽  
And Performance ◽  
Set Up

In order to meet various needs and realize software reuse, a middle-ranking cadre of universities evaluation management information system (MCE-MIS) based on SOA is proposed. It is a loosely coupled, protocol independent information system integrating existing information systems such as Personnel and Performance MIS. After analyzing the requirement of the system, the cadre evaluation flowchart, use case and system integration solution are described in detail. SOA provides a solution to set up low-cost, open and flexible integration system in universities.

Web-Based Supervisory Control System Based on Raspberry Pi

2015 ◽  
Vol 764-765 ◽  
pp. 640-643 ◽  
Author(s):  
Wu Jeng Li ◽  
Shu Chu Tung ◽  
Shih Miao Huang
Keyword(s):  
Control System ◽  
Supervisory Control ◽  
Air Conditioning ◽  
Low Cost ◽  
Raspberry Pi ◽  
Monitoring And Control ◽  
Web Based ◽  
Environment Control ◽  
Uninterruptible Power ◽  
Supervisory Control System

This research designs a web-based supervisory control system based on Raspberry Pi. The system consists of one Raspberry Pi single-board computer and multiple data acquisition modules. The sensing and driving of the system are completed by reading/writing those data modules through RS485 interface by Modbus RTU protocol. Embedded database is used to store input/output data. Embedded web server provides interface for remote monitoring and control. The system was applied to environment control for computer room. It monitors air-conditioning systems, room temperature and humidity, fire alarm systems, uninterruptible power supply (UPS) systems, electricity supply systems and door access control systems. If something happens, it can drive buzzer, alarm, voice dialing, or air conditioning. The focus of this paper is using software to integrate hardware available in the market to form a low cost reliable supervisory control system.

scholarly journals Low cost audiovisual playback and recording triggered by radio frequency identification using Raspberry Pi

2014 ◽  
Author(s):  
Adam Z Lendvai ◽  
Çağlar Akçay ◽  
Talia Weiss ◽  
Mark F. Haussmann ◽  
Ignacio T Moore ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Behavioral Ecology ◽  
Radio Frequency Identification ◽  
Visual Information ◽  
Low Cost ◽  
Raspberry Pi ◽  
Male Tree ◽  
Frequency Identification ◽  
Nestling Begging ◽  
Set Up

Carrying out playbacks of visual or audio stimuli to wild animals is a widely used experimental tool in behavioral ecology. In many cases, however, playback experiments are constrained by observer limitations such as the time observers can be present, or the accuracy of observation. These problems are particularly apparent when playbacks are triggered by specific events or are targeted to specific individuals. We developed a low-cost automated playback/recording system, using two field-deployable devices: radio-frequency identification (RFID) readers and Raspberry Pi micro-computers. This system detects a specific passive integrated transponder (PIT) tag attached to an individual, and subsequently plays back the stimuli, or records audio or visual information. To demonstrate the utility of this system, we tagged female and male tree swallows from two box-nesting populations with PIT tags and carried out playbacks of nestling begging calls every time females entered the nestbox over a six-hour period. We show that the RFID-Raspberry Pi system presents a versatile, low-cost, field-deployable system that can be adapted for many audio and visual playback purposes. The low cost and the small learning curve make this set-up a feasible system for use by field biologists.

scholarly journals Low cost audiovisual playback and recording triggered by radio frequency identification using Raspberry Pi

2014 ◽  
Author(s):  
Adam Z Lendvai ◽  
Çağlar Akçay ◽  
Talia Weiss ◽  
Mark F. Haussmann ◽  
Ignacio T Moore ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Behavioral Ecology ◽  
Radio Frequency Identification ◽  
Visual Information ◽  
Low Cost ◽  
Raspberry Pi ◽  
Male Tree ◽  
Frequency Identification ◽  
Nestling Begging ◽  
Set Up

Carrying out playbacks of visual or audio stimuli to wild animals is a widely used experimental tool in behavioral ecology. In many cases, however, playback experiments are constrained by observer limitations such as the time observers can be present, or the accuracy of observation. These problems are particularly apparent when playbacks are triggered by specific events or are targeted to specific individuals. We developed a low-cost automated playback/recording system, using two field-deployable devices: radio-frequency identification (RFID) readers and Raspberry Pi micro-computers. This system detects a specific passive integrated transponder (PIT) tag attached to an individual, and subsequently plays back the stimuli, or records audio or visual information. To demonstrate the utility of this system, we tagged female and male tree swallows from two box-nesting populations with PIT tags and carried out playbacks of nestling begging calls every time females entered the nestbox over a six-hour period. We show that the RFID-Raspberry Pi system presents a versatile, low-cost, field-deployable system that can be adapted for many audio and visual playback purposes. The low cost and the small learning curve make this set-up a feasible system for use by field biologists.

Low Cost Real Time Water effluence Monitoring and Controlling System using IOT Module

2020 ◽  
Vol 52 (3) ◽  
pp. 05-07
Author(s):  
Nicolette Léveillé
Keyword(s):  
Drinking Water ◽  
Water Body ◽  
Water Contamination ◽  
Low Cost ◽  
Raspberry Pi ◽  
Safe Drinking Water ◽  
Controlling System ◽  
Set Up ◽  
Minimal Effort ◽  
Traditional Strategy

Water is an essential component required for people and thusly there must be instruments set up to overwhelmingly test the nature of savouring water ongoing. The traditional strategy for taxing water excellence is to accumulate tests of water physically and investigate. This strategy is tedious, surplus of labour, and not conservative. This paper proposes a minimal effort framework for constant water contamination observing and domineering utilizing IoT. The Zig-Bee module in the framework moves information gathered by the sensors to the micro-controller remotely, and GSM based module moves remotely the information MC to PC. The sensor esteems prepared by Raspberry pi and send to the cloud. The framework likewise has nearness sensors to make the authorities by communicating something specific aware of them through the GSM module in the event that somebody attempts to contaminate the water body. This framework can keep an exacting mind the contamination of the water assets and have the option to give a situation to safe drinking water.

Scaling XML Using a Beowulf Cluster

2018 ◽  
Author(s):  
John J. Chelsom ◽  
Jay H. Chelsom
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Data Access ◽  
Raspberry Pi ◽  
Optimal Size ◽  
Database Access ◽  
Xml Databases ◽  
Beowulf Cluster ◽  
Cost Efficient ◽  
And Performance

We describe a series of experiments which test the performance and scalability of an XML records system deployed on a Beowulf cluster of open source XML databases. Using the open source cityEHR health records system as an example, we first ran experiments to determine the feasibility and optimal size of database instances running on Raspberry Pi and low-cost Intel computers. We describe the implementation of a Data Access Layer for create, read, query and delete operations, using XForms submissions, which encapsulates all database access. We then present the results of testing the scalability and performance of this implementation on clusters of one to sixteen physical database nodes. We conclude that Beowulf clustering provides an effective and cost-efficient mechanism for scaling XML records systems.

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