Internet of Things Monitoring System of a Modeled Cleanroom

2021 ◽  
Vol 20 (3) ◽  
pp. 7-14
Author(s):  
Muhammad Ilias Rosli ◽  
Mohd Ridzuan Ahmad

The development of a cleanroom monitoring system needs more concentrated consideration consistently. There is a challenge to prove that the cleanroom operates following the specifications, in other words, users do not see the software error, they see failures in execution. This paper aims to design a smart monitoring system to monitor important parameters inside the cleanroom, i.e. temperature, humidity, and pressure to produce a good quality of work or experiment inside the cleanroom. The observing framework utilizes Arduino Mega as a microcontroller, ESP 8266 Wi-Fi module, DHT 11 as an integrated temperature and humidity sensor, HX710B as a pressure sensor, and Blynk application as a monitoring system to record and show information including provide fault notification. The project is tested on a modeled cleanroom to monitor important parameters via smartphone anytime and anywhere. From the experimental results, the Cleanroom IoT Monitoring System successfully read all parameters based on the system requirements and displays data of parameters in real-time and stored historical data. This system is also successful to provide failures notification of humidity, temperature, and pressure in real-time if any of the parameters are out of range from the system requirements. Lastly, users can monitor the condition of the cleanroom anytime and anywhere including receiving real-time failures notifications. This concept can avoid or reduce cleanroom working out of the criteria that can cause testing or experiment inside the cleanroom to be inaccurate. By observing and controlling the prerequisite development for IoT monitoring systems, great nature and better quality of performance of operational cleanrooms can be delivered.

2021 ◽  
Author(s):  
Vadim Goryachikh ◽  
Fahad Alghamdi ◽  
Abdulrahman Takrouni

Abstract Background information Natural gas liquid (NGL) production facilities, typically, utilize turbo-expander-brake compressor (TE) to generate cold for C2+ separation from the natural gas by isentropic expansion of feed stream and use energy absorbed by expansion to compress residue gas. Experience shows that during operational phase TE can exposed to operation outside of design window that may lead to machine integrity loss and consequent impact on production. At the same time, there is a lack of performance indicators that help operator to monitor operating window of the machine and proactively identify performance deterioration. For instance, TE brake compressor side is always equipped with anti-surge protection system, including surge deviation alarms and trip. However, there is often gap in monitoring deviation from stonewall region. At the same time, in some of the designs (2×50% machines) likelihood of running brake compressor in stonewall is high during one machine trip or train start-up, turndown operating modes. Also, typical compressor performance monitoring systems does not have enough dynamic parameters that may indicate machine process process performance deterioration proactively (real-time calculation of actual polytrophic efficiency, absorbed power etc.) and help operator to take action before catastrophic failure occurs. In addition, typical compressor monitoring systems are based on assumed composition and fixed compressibility factor and do not reflect actual compositions variations that may affect machine performance monitoring. To overcome issues highlighted above, Hawiyah NGL (HNGL) team has developed computerized monitoring and advisory system to monitor the performance of turbo-expander-brake compressor, proactively, identify potentially unsafe conditions or performance deterioration and advice operators on taking necessary actions to avoid unscheduled deferment of production. Computerized performance monitoring system has been implemented in HNGL DCS (Yokogawa) and utilized by control room operators on day-to-day basis. Real-time calculation, analysis and outputs produced by performance monitoring system allow operator to understand how current operating condition are far from danger zone. Proactive deviation alarms and guide messages produce by the system in case of deviation help operators to control machine from entering unsafe region. Actual polytrophic efficiency, adsorbed power calculations provide machine condition status and allow identifying long-term performance deterioration trends.


Author(s):  
Scot McNeill ◽  
Paul Angehr ◽  
Dan Kluk ◽  
Tomokazu Saruhashi ◽  
Ikuo Sawada ◽  
...  

A method is described for determining quasi-static and dynamic riser angles using measured data typically found in a riser fatigue monitoring system, specifically acceleration and angular rate data. Quasi-static riser inclination and orientation of the inclination plane are determined from the low frequency triaxial accelerations, containing measurement of the gravitational body force. Components of the gravitational body force along the accelerometer axes vary slowly with the riser quasi-static response. The slowly varying Euler angles are determined from the components of gravity along the three axes. Dynamic riser inclination along and transverse to the quasi-static inclination plane are determined by integration of the angular rates, followed by transformation into a coordinate system aligned with the quasi-static inclination plane. The quasi-static and dynamic inclination angles are combined to arrive at the time trace of riser inclination angles. Following implementation of the method in Matlab®, the procedure was validated and the program verified using laboratory test data. A double-gimbaled platform was constructed, on which were mounted a triaxial accelerometer, biaxial angular rate and biaxial inclinometer (reference sensor). A battery of static and dynamic tests was carried out on the platform. Machinists’ levels and angle gauges were used to set the inclination in the various tests. The angles derived from the acceleration and angular rate data were compared to those of the reference inclinometer. Angle estimates were shown to match the reference angles with negligible error. The method was then implemented into the real-time Riser Fatigue Monitoring System (RFMS) aboard the Chikyu drillship. The algorithm was run using data from an emergency disconnect event that occurred in November, 2012. Quasi-static riser inclination angles were quite large due to high currents near the sea surface. Dynamic riser inclination angles proved to be significant due to Vortex Induced Vibration of the lower portion of the riser that immediately followed the disconnect event. It is important to note that the method uses data that is typically already included in real-time riser monitoring systems. Therefore only a software update is required to provide real-time riser angle information. If the method is built into data processing routines for real-time riser monitoring systems, the need for additional instrumentation, such as inclinometers near flex joints, may be circumvented. On the other hand, if inclinometers already exist, the method serves as an independent source of riser angle information at several locations on the riser. The method can also be used to calculate riser and Blow out Preventer (BOP) stack angles from data recorded using stand-alone, battery-powered loggers.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1860 ◽  
Author(s):  
Roque Torres-Sánchez ◽  
María Teresa Martínez-Zafra ◽  
Noelia Castillejo ◽  
Antonio Guillamón-Frutos ◽  
Francisco Artés-Hernández

The control of the main environmental factors that influence the quality of perishable products is one of the main challenges of the food industry. Temperature is the main factor affecting quality, but other factors like relative humidity and gas concentrations (mainly C2H4, O2 and CO2) also play an important role in maintaining the postharvest quality of horticultural products. For this reason, monitoring such environmental factors is a key procedure to assure quality throughout shelf life and evaluate losses. Therefore, in order to estimate the quality losses that a perishable product can suffer during storage and transportation, a real-time monitoring system has been developed. This system can be used in all post-harvest steps thanks to its Wi-Fi wireless communication architecture. Several laboratory trials were conducted, using lettuce as a model, to determine quality-rating scales during shelf life under different storage temperature conditions. As a result, a multiple non-linear regression (MNLR) model is proposed relating the temperature and the maximum shelf life. This proposed model would allow to predict the days the commodities will reduce their theoretical shelf-life when an improper temperature during storage or in-transit occurs. The system, developed as a sensor-based tool, has been tested during several land transportation trips around Europe.


2011 ◽  
Vol 121-126 ◽  
pp. 3750-3754 ◽  
Author(s):  
Chung Chiang Hu ◽  
Shing Han Li ◽  
Tien Wei Tsai

The equipments in computer rooms are complicated in nature. Many factors may influence their normal operations, for example: voltage, temperature, humidity, and the normalcy of systems. It would be prudent to have a monitoring system to prevent from unpredictable problems. Most monitoring systems in the market can only issue alarms in abnormal situations and then analyze the aftermath. They are also expansive and lack the ability for distant instant control. To tackle this problem, after our successful and practical experiments, we utilize GSM text messaging ability (i.e. SMS, short message service) and make distant monitoring possible. The monitoring system is established with a reasonable price that is well below current market. With this system, the manager/administrator can monitor the real-time status of equipments in computer rooms, send control commands through SMS and then get them executed to solve the problems instantly and effectively.


2013 ◽  
Vol 333-335 ◽  
pp. 1704-1707
Author(s):  
Jun Ho Ko ◽  
Ming Jin ◽  
Sung Ho Park ◽  
Yoon Sang Kim

The rapidly increasing usage of high-powered devices and the high specification in personal and industrial/medical devices has led to a greater demand for a SMPS for high-powered devices. A stable and reliable power source for such devices and research on power quality monitoring systems are needed. To these ends, this paper introduces a SMPS monitoring system based on ZigBee communication. The SMPS monitoring system uses ZigBee to collect the voltage, current, and temperature data from SPMS in real time. The collected data are visually synchronized and the current power supply status is displayed to the operator. In addition, to prevent any decline in the quality of the power, the system gives feedback via smartphone to the operator if errors are detected.


2020 ◽  
Vol 61 (1) ◽  
pp. 11-20
Author(s):  
Pham Cong Khai ◽  
Nguyen Van Hai ◽  

This paper presents results of investigating, designing, and building a monitoring system in real-time based on GNSS CORS technology in order to monitor landslides at Xekaman 3 hydropower plant in the Lao people’s Democratic Republic. A system with 18 monitoring stations and a CORS station has been designed to ensure the operation of system 24/7. The connection diagram for data transmission from the monitoring stations to the data processing center, as well as the connection diagram of the devices at a monitoring station has been designed. A simulation experiment has shown that the designed system can be applied for real-time monitoring of landslide.


Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3533
Author(s):  
Witold Gierusz ◽  
Monika Rybczak

The article described two full multidimensional controllers applied to steer a real vessel named ‘Blue Lady’ that is used by the Foundation for Safety of Navigation and Environment Protection at its training and research facility loacted at Silm lake in Poland. Both controllers were based on different approaches, but finally gave similar results. The first part describes the object to be controlled which is a training ship used for training of navigators in various conditions, areas and manoeuvres. This is followed by a short description of the theory for both controllers, Robust and Linear Matrix Inequalities (LMI). Next real time trials are described, which are 3 different manouvers for low velocities, executed by both LMI and Robust contrllers. In these trials ‘Blue Lady’ velocities, silhouete trajectory ans wind data are recorded. Finally the quality of work for both controllers is collected in two tables.


2014 ◽  
Vol 624 ◽  
pp. 647-650
Author(s):  
Hong Mei Cao

Large span bridges are very important infrastructure of the nations. The enormous investment and significance in state economy make them get more and more recognition. At present, the technology of the safety monitoring of bridges is becoming a hotspot in both academic and engineering field. Now, safety monitoring systems of the structures have been applied to many large bridges in the world. Among all these parameters which can indicate the safety status of bridges, the deflection is indispensable. Although there are lots of sensors now used to measure the degrees of the deflection, it is still very scarce that the sensors can be made for long-distance, real-time and automatic online completely. The photo-electricity and liquid level deflection sensors (PLLD) introduced here are cheaper and of better-automaticity and higher precision and can work online continuously without contact. This paper will show the structure, performance and theory of our new sensor based on ARM7 in detail. In the end, a concrete application instance in XiaoGou bridge of ShanXi province will be given.


Author(s):  
Swapna B.

Laboratories are essential facilities provided in professional institutes for scientific and technological work. The lab must ensure their accuracy to regulatory requirements and maintain their data records so that the laboratory environment can be monitored properly. The laboratory environment temperature (LET) is monitored to ensure proper regulation and maintenance of indoor conditions and also to correlate the collected samples with these conditions. The LET data collection must be stored to influence the quality of the results and to ensure the stability of the laboratory environment. Hence, an IoT solution is presented to supervise real-time temperature and is known as iRT. This method helps to monitor ambient object supervision in real time. It is composed of a hardware prototype to collect the temperature data and to use web application to provide the history of temperature evolution. The result gained from the study is promising, and it provides a significant contribution to IoT-based temperature monitoring systems.


2014 ◽  
Vol 945-949 ◽  
pp. 2703-2708
Author(s):  
Bo Qu ◽  
Jian Bo Nie ◽  
Min Xuan Shen ◽  
Kun Wang

The principle of the distribution transformer monitoring terminal and distribution transformer monitoring system is the base of the article. This paper establishes the implement programs of the distribution transformer monitoring system to strengthen the management of distribution transformer. This system provides many functions: real-time monitoring, graphs and reports display of historical data statistics of distribution transformer. This system uses formal J2EE framework, combining with eXtremeComponents (reporting system development tool) to develop customized reports.


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