Monitoring Biosensors and Obtaining Data Using GSM Module

2016 ◽  
Vol 5 (2) ◽  
pp. 86
Author(s):  
Hemavathy RM
Keyword(s):  
Control System ◽  
Oxygen Supply ◽  
Human Life ◽  
Pi Controller ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Memory Location ◽  
Coverage Area ◽  
Standard Data ◽  
Wireless Node

<p>The main focus of the project is to prevent the loss of human life against the discomfort and death caused by the lack of attention towards the patients due to the improper monitoring systems provided in the hospital. The aim of the project is to monitor the bio sensors attached to the persons in their body either internally or externally. The biosensors which are about to be used in this project are EEG sensor (electro encephalogram sensor). An ECG sensor (electro cardiogram sensor) which is very essential for a critical patient, this project also emphasizes on the extended design of a special type of sensor called the oxygen insensitive microscale biosensor which helps in the monitoring of constant oxygen supply in blood thereby detecting blood cancer at the earliest stage. The data from all the sensors are sent to a central wireless node through wifi. From the main node the data is sent to the control station of the hospital through zigbee as the coverage area of certain hospitals is more than the coverage area of a Bluetooth. The control station segregates the data of different patients and stores in the memory location. If any of the patient data exceeds the standard data fed to the control station by the doctor then a message will be sent to the mobile of the attendee and the doctor using the GSM control system.<em></em></p><p><em>Keywords: Biosensors, Raspberry pi (controller), GSM, Zigbee</em></p><p><em> </em></p>

scholarly journals Monitoring Suhu Kelembaban dan Polusi Udara Berbasis Raspberry Pi 3 dengan Menggunakan Transmisi Radio Frekuensi

2020 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Husnibes Muchtar ◽  
Rahmat Sabar Hakiki
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Communication Technology ◽  
Human Activities ◽  
Human Life ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Automatic Control Systems ◽  
Surrounding Environment ◽  
Technology Control

Perkembangan ilmu pengetahuan teknologi saaat ini di tandai dengan bermunculan nya alat-alat yang menggunakan sistem kontrol digital dan otomatis, teknologi menjadi hal yangan sangat berguna bagi kehidupan manusia, mulai dari teknologi mekanik, listrik dan komunikasi yang sangat membantu aktivitas manusia agar lebih mudah dan lebih efisien.Penggunaan teknologi komunikasi sistem kontrol dan monitoring. Dalam hal ini pengontrolan menggunakan Handy talky sebagai komunikasi dan raspberry PI 3 sebagai pengontrolnya. Sensor untuk mendeteksi lingkungan sekitar dan LCD untuk menampilkan hasil sensor. The development of science and technology is currently marked by the emergence of tools that use digital and automatic control systems, technology is becoming a very useful thing for human life, ranging from mechanical, electrical and communication technology which greatly helps human activities to be easier and more efficient. efficient.Use of communication technology control and monitoring systems. In this case the controller uses Handy talky as communication and raspberry PI 3 as the controller. Sensors to detect the surrounding environment and LCD to display sensor results.

scholarly journals Self-Tuning Two Degree-of-Freedom Proportional–Integral Control System Based on Reinforcement Learning for a Multiple-Input Multiple-Output Industrial Process That Suffers from Spatial Input Coupling

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 487
Author(s):  
Fumitake Fujii ◽  
Akinori Kaneishi ◽  
Takafumi Nii ◽  
Ryu’ichiro Maenishi ◽  
Soma Tanaka
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Pid Control ◽  
Multiple Input Multiple Output ◽  
Industrial Process ◽  
Pi Controller ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Tuning ◽  
Two Degree Of Freedom

Proportional–integral–derivative (PID) control remains the primary choice for industrial process control problems. However, owing to the increased complexity and precision requirement of current industrial processes, a conventional PID controller may provide only unsatisfactory performance, or the determination of PID gains may become quite difficult. To address these issues, studies have suggested the use of reinforcement learning in combination with PID control laws. The present study aims to extend this idea to the control of a multiple-input multiple-output (MIMO) process that suffers from both physical coupling between inputs and a long input/output lag. We specifically target a thin film production process as an example of such a MIMO process and propose a self-tuning two-degree-of-freedom PI controller for the film thickness control problem. Theoretically, the self-tuning functionality of the proposed control system is based on the actor-critic reinforcement learning algorithm. We also propose a method to compensate for the input coupling. Numerical simulations are conducted under several likely scenarios to demonstrate the enhanced control performance relative to that of a conventional static gain PI controller.

scholarly journals Traffic control system for vehicles on Indian roads using raspberry Pi

2020 ◽  
Vol 981 ◽  
pp. 032098
Author(s):  
Bura Vijay Kumar ◽  
Seena Naik Korra ◽  
N Swathi ◽  
D. Kothandaraman ◽  
Nagender Yamsani ◽  
...  
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Raspberry Pi ◽  
Traffic Control System

Automatic control for DO and pH in the activated sludge process in a coke wastewater treatment plant

1998 ◽  
Vol 37 (12) ◽  
pp. 141-148 ◽  
Author(s):  
B. K. Lee ◽  
S. W. Sung ◽  
H. D. Chun ◽  
J. K. Koo
Keyword(s):  
Wastewater Treatment ◽  
Control System ◽  
Activated Sludge ◽  
Automatic Control ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Pi Controller ◽  
Activated Sludge Process ◽  
Set Point ◽  
Coke Wastewater

The objective of this study is to develop an automatic control system for dissolved oxygen (DO) and pH of the activated sludge process in a coke wastewater treatment plant. A discrete type autotuned proportional-integral (PI) controller using an auto-regressive exogenous (ARX) model as a process model was developed to maintain the DO concentration in aerators by controlling the speed of surface aerators. Also a nonlinear pH controller using the titration curve was used to control the pH of influent wastewater. This control system was tested in a pilot scale plant. During this pilot plant experiment, there was small deviation of pH and the electric power consumption of surface aerators was reduced up to 70% with respect to the full operation when the DO set point was 2 mg/l. For real plant operation with this system, the discrete PI controller showed good tracking for set point change. The electricity saving was more than 40% of the electricity consumption when considering surface aerators. As a result of maintaining the DO constantly at the set point by the automatic control system, the fluctuation of effluent quality was decreased and overall improvement of the effluent water quality was achieved.

scholarly journals Closed-loop control system for well-defined oxygen supply in micro-physiological systems

2017 ◽  
Vol 3 (2) ◽  
pp. 363-366
Author(s):  
Tobias Steege ◽  
Mathias Busek ◽  
Stefan Grünzner ◽  
Andrés Fabían Lasagni ◽  
Frank Sonntag
Keyword(s):  
Control System ◽  
Oxygen Supply ◽  
Closed Loop ◽  
Microfluidic System ◽  
Closed Loop Control ◽  
Loop Control ◽  
Cell Vitality ◽  
Closed Loop Control System ◽  
Loop Control System

AbstractTo improve cell vitality, sufficient oxygen supply is an important factor. A deficiency in oxygen is called Hypoxia and can influence for example tumor growth or inflammatory processes. Hypoxia assays are usually performed with the help of animal or static human cell culture models. The main disadvantage of these methods is that the results are hardly transferable to the human physiology. Microfluidic 3D cell cultivation systems for perfused hypoxia assays may overcome this issue since they can mimic the in-vivo situation in the human body much better. Such a Hypoxia-on-a-Chip system was recently developed. The chip system consists of several individually laser-structured layers which are bonded using a hot press or chemical treatment. Oxygen sensing spots are integrated into the system which can be monitored continuously with an optical sensor by means of fluorescence lifetime detection.Hereby presented is the developed hard- and software requiered to control the oxygen content within this microfluidic system. This system forms a closed-loop control system which is parameterized and evaluated.

Implementasi Metode Unsupervised Learning Pada Sistem Keamanan Dengan Optimalisasi Penyimpanan Kamera IP

2021 ◽  
Vol 5 (6) ◽  
pp. 1099-1105
Author(s):  
Desta Yolanda ◽  
Mohammad Hafiz Hersyah ◽  
Eno Marozi
Keyword(s):  
Unsupervised Learning ◽  
Night Vision ◽  
Raspberry Pi ◽  
Monitoring Systems ◽  
Test Results ◽  
Storage Process ◽  
File Size ◽  
Web Based ◽  
Security Monitoring ◽  
Human Faces

Security monitoring systems using face recognition can be applied to CCTV or IP cameras. This is intended to improve the security system and make it easier for users to track criminals is theft. The experiment was carried out by detecting human faces for 24 hours using different cameras, namely an HD camera that was active during the day and a Night Vision camera that was active at night. The application of Unsupervised Learning method with the concept of an image cluster, aims to distinguish the faces of known or unknown people according to the dataset built in the Raspberry Pi 4. The user interface media of this system is a web-based application built with Python Flask and Python MySQL. This application can be accessed using the domain provided by the IP Forwarding device which can be accessed anywhere. According to the test results on optimization of storage, the system is able to save files only when a face is detected with an average file size of ± 2.28 MB for 1x24 hours of streaming. So that this storage process becomes more efficient and economical compared to the storage process for CCTV or IP cameras in general.

The Walking Robot Control System that is Adaptive to Changes in the Kinematics

2021 ◽  
Vol 22 (11) ◽  
pp. 601-609
Author(s):  
A. S. Samoylova ◽  
S. A. Vorotnikov
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Robot Control ◽  
Control Algorithm ◽  
Human Life ◽  
Support Surface ◽  
Machine Modeling ◽  
Cargo Delivery ◽  
Formal Classification

The walking mobile robots (WMR) have recently become widely popular in robotics. They are especially useful in the extreme cases: search and rescue operations; cargo delivery over highly rough terrain; building a map. These robots also serve to explore and describe a partially or completely non-deterministic workspace, as well as to explore areas that are dangerous to human life. One of the main requirements for these WMR is the robustness of its control system. It allows WMR to maintain the operability when the characteristics of the support surface change as well as under more severe conditions, in particular, loss of controllability or damage of the supporting limb (SL). We propose to use the principles of genetic programming to create a WMR control system that allows a robot to adapt to possible changes in its kinematics, as well as to the characteristics of the support surface on which it moves. This approach does not require strong computational power or a strict formal classification of possible damage to the WMR. This article discusses two main WMR control modes: standard, which accord to a serviceable kinematics, and emergency, in which one or more SL drives are damaged or lost controllability. As an example, the structure of the control system of the WMP is proposed, the kinematics of which is partially destroyed in the process of movement. We developed a method for controlling such robot, which is based on the use of a genetic algorithm in conjunction with the Mealy machine. Modeling of modes of movement of WMR with six SL was carried out in the V-REP program for two cases of injury: absent and not functioning limb. We present the results of simulation of emergency gaits for these configurations of WMP and the effectiveness of the proposed method in the case of damage to the kinematic scheme. We also compared the performance of the genetic algorithm for the damaged WMR with the standard control algorithm.

scholarly journals Rancang Bangun Sistem Kontrol Keamanan Gerbang Menggunakan Raspberry Pi B+ Berbasis Web

2021 ◽  
Vol 7 (1) ◽  
pp. 10-18
Author(s):  
Arief Saptono ◽  
Abdul Malik ◽  
Muhamad Satim
Keyword(s):  
Control System ◽  
System Application ◽  
Control Process ◽  
Control Device ◽  
Security System ◽  
Raspberry Pi ◽  
Web Browser ◽  
Security Control ◽  
Web Camera ◽  
Gate Control

Computer and information technology from time to time are always experiencing developments, both in terms of hardware, software and the internet being one of the most important things atthis time. The increasing number of applications of computer technology will make the role of computers increasingly important to be more advanced (modernization). The security system isstill not effective and efficient enough, so that a control using a website is needed to help the security control process at the gate. This system is not only used in offices, but can be used inhome security, etc. So we need a security system, where the security control system uses a tool to monitor realtime security via a web browser, namely a webcam (Web Camera). A web-basedgate control system can be designed using the Raspberry Pi B +. From the explanation mentioned above, the researcher made a gate control device that was given to the Microcontroller using a Web Browser in order to open and close the gate. So it is hoped that this security system application can provide a sense of comfort, in addition, of course, with this system application it can reduce the number of crimes that occur both crimes and other crimes.

scholarly journals An Overview of Post-COVID-19 Patient’s Health Monitoring Systems

2021 ◽  
Vol 7 (10) ◽  
pp. 61-67
Author(s):  
Chirag Satapathy, Hrishikesh Gokhale, Ali Zoya Syed, Keerti Srivastava and Ruban Nersisson
Keyword(s):  
Health Monitoring ◽  
Human Life ◽  
Vital Role ◽  
Health Conditions ◽  
Smart Sensors ◽  
Monitoring Systems ◽  
Comprehensive Review ◽  
Global Pandemic ◽  
Health Monitoring Systems ◽  
Time Basis

COVID-19 is a global pandemic infecting human life. There are many patients who have recovered from this deadly virus and need to be monitored constantly even when they are at home. IoT plays a vital role in health systems that help to monitor patient’s health conditions. These healthcare frameworks consist of smart sensors to keep a track of patient’s vitals on a real-time basis. These systems will help bridge gaps between the patients and doctors during the pandemic situation. In order to make our system competitive against the already existing devices, we prepared a comprehensive review where we extensively studied other products and compared them to find what's best for the patients.

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