Room Monitoring Research Articles

INOVASI IOT UNTUK PENGELOLAAN DAN KEAMANAN RUANG ARSIP: IMPLEMENTASI ESP32 DENGAN SENSOR API DAN SUHU DHT11

This study aims to design and develop a prototype IoT-based archive room monitoring system to enhance security and efficiency in archive management at the Village Office of Desa Pingit, Pringsurat District, Temanggung Regency. The system utilizes a UV Flame Detector for fire detection and a DHT11 sensor for monitoring temperature and humidity, with an ESP32 as the main controller connected via Wi-Fi. Integrated with the Telegram app, users can receive real-time notifications and updates on archive room conditions, facilitating remote monitoring. Testing results indicate that the system effectively detects fire presence and accurately provides temperature and humidity updates. This innovation is expected to aid in risk management and archive protection, offering a practical solution for modern archive room management.

Situation awareness information requirement for marine engine room monitoring at the future shore control center

Information integration for explicit comprehension can be highly challenging in a large-scale system with interconnected equipment under the influence of the environment. This presents a great challenge in acquiring and maintaining situation awareness during the transition from traditional to remote and, eventually, to autonomous operation. However, the maritime industry appears to approach situation awareness in a highly restricted manner that focuses on visual and navigational awareness only, resulting in no support system for engine room monitoring. This research conducted a goal-directed task analysis with thirty-one subject matter experts, with an average sea experience of 9.78 years, to investigate situation awareness in the engine room. As a result, the situation awareness information requirements for nine machineries and twelve systems are developed. The findings reveal that numerous perception elements, and their complex combinations, for higher-level awareness comprise situation awareness, and situation awareness deterioration is highly likely, due to the replication or reproduction of ship sense and expanded system coverage to compensate for the lack of marine engineers on ships. This research proposes that presenting higher-level situation awareness information in consideration of schema instantiation could be a promising alternative to developing and optimising the situation awareness support system for engine room monitoring at the future shore control center. Highlights The replication of conventional monitoring systems for remote operation results in a loss of situation awareness information as the conventional systems are designed to collaborate with human operators onsite The relocation of humans from ships to shore must incorporate the transfer of information that human operators generate Situation awareness in the engine room comprises numerous information elements and requires a high level of information integration skills for comprehension and projection Situation awareness support systems must facilitate information integration while maintaining a balance between system explainability and simplicity Cue strength differences in comprising comprehension and projection might effectively address system complexity and situation awareness

Advancing maritime technology: Evaluating situation awareness support systems for engine room monitoring at the future shore control centre

ABSTRACT Remote operation offers promising advantages as a viable transitional phase toward autonomous ships, but at the same time, it introduces new challenges in maintaining situation awareness. However, situation awareness is misunderstood as an essential construct for only navigational tasks, albeit situation awareness issues are recurrently reported during system monitoring, e.g. power plants. Hence, this within-subjects study developed the two situation awareness support systems for engine room monitoring based on information requirements and schema instantiation. Sixteen marine engineers participated in the four simulation experiments, and their objective and subjective situation awareness, fault detection rate, response speed and change blindness were evaluated. The findings describe that presenting a few critical perception elements for comprehension is promising to mitigate interface complexity and enable efficient pattern matching. However, caution is necessary for selecting the means of access to elements of low importance, as it can induce attentional tunnelling and additional cognitive load, which can devastate the situation awareness and fault-detecting performance when compounded by high cognitive load from primary monitoring tasks. This study recommends entailing the current level of situation awareness, cognitive load and stress into the support system design to determine the extent and timing of assistance for varying operational demands.

Analysis of Anthropogenic Waste Heat Emission from an Academic Data Center

The rapid growth in computing and data transmission has significant energy and environmental implications. While there is considerable interest in waste heat emission and reuse in commercial data centers, opportunities in academic data centers remain largely unexplored. In this study, real-time onsite waste heat data were collected from a typical academic data center and an analysis framework was developed to determine the quality and quantity of waste heat that can be contained for reuse. In the absence of a comprehensive computer room monitoring system, real-time thermal data were collected from the data center using two arrays of thermometers and thermo-anemometers in the server room. Additionally, a computational fluid dynamics model was used to simulate temperature distribution and identify “hot spots” in the server room. By simulating modification of the server room with a hot air containment system, the return air temperature increased from 23 to 46 °C and the annual waste heat energy increased from 377 to 2004 MWh. Our study emphasizes the importance of containing waste heat so that it can be available for reuse, and also, that reusing the waste heat has value in not releasing it to the environment.

Situation awareness for engine room monitoring at future shore control centre

ABSTRACT Situation Awareness (SA) is a cornerstone for system verification and validation, particularly vital at the future Shore Control Centre (SCC). However, engine room monitoring (ERM) receives little attention regarding the SA. This research conducted two Likert-type surveys with 201 marine engineers and employed a descriptive statistic and the Mann–Whitney U test to investigate cue strengths in forming comprehension around the engine room and generality in cue strengths by ship types, experience and ranks of respondents. The importance varies to different extents, and their perspectives seem not to deviate much, with the max disagreement rate at 12% by ship types and the ranks of respondents. The extent of disagreement tends to reduce with the increment of experience thresholds. The outcomes offer a promising strategy for developing a human-centred monitoring system to mitigate the potential risk of information overload and incorrect schema instantiation at the future SCC.

Implementation of a Wireless Sensor Network with Mesh Topology with XBee for Centralized Building Room Monitoring

Implementation of a Wireless Sensor Network with Mesh Topology with XBee for Centralized Building Room Monitoring

Automated traffic monitoring of neurosurgical operating room

Operating room (OR) traffic disrupts airflow and increases particle count, which predisposes patients to surgical site infections, particularly in longer surgeries with hardware placement. The aim of this study is to evaluate the rate of traffic during neurosurgical procedures, as well as reasons for and perceptions of OR traffic. This is a single-center, multimethod study monitoring neurosurgical OR traffic through direct observation, automated monitoring, and interviews. Traffic was observed between the skin incision and closure. Personal interviews with OR teams including surgeons, anesthesia, and nurses were conducted to evaluate their perceptions of the frequency of OR traffic and reasons for OR traffic. Direct observation reported OR door opening an average of 18 times, with 20 people entering or exiting per hour. The exact reason for traffic was not verified in all traffic cases and was able to be confirmed in only a third of the cases. Automated monitoring resulted in an average of 31 people entering or exiting the OR per hour. The procedure length was significantly associated with the number of people entering or exiting the OR per hour (P<.0001). Interviews highlighted that OR teams reported traffic to be significantly lower than observed and automated monitoring results, with approximately <6 people entering or exiting per hour. OR traffic is higher than staff expected, and updated processes are required to reduce the number of times the OR door opens. Implementing automated observation of OR traffic could reduce the OR traffic and the risk for surgical site infection.

Three-dimensional model construction of power distribution room and its digital twin physical structure research

Abstract Aiming at the problem of complex internal structure and difficult monitoring of the distribution room, a new monitoring method for the distribution room based on a digital twin is studied. Firstly, a 3D model design method for the distribution room is proposed by combining visualization technology and 3D Max software to complete the modeling. The 3D laser technology is used to scan the entity to get the texture photos of the 3D laser points and the raw data, then a complete model is obtained by modeling the details, and finally, the texture photos are mapped with the model to get the final model. To enhance the model’s accuracy, the optimal minimum spanning tree model optimization method is proposed, and the power distribution room’s three-dimensional model design is now finished. On the basis of the feature extraction of the sensor data of the distribution room, the digital twin technology is used to realize the matching of the information model architecture from the real entity of the distribution room to the virtual model, digital conversion, correlation of the operating data features and real-time monitoring, and then the monitoring method of the distribution room based on the digital twin is obtained. The experimental analysis yields a 3D Max modeling time of 9.98s and a fineness of 90%, which is more suitable for the construction of complex 3D models of distribution rooms than the other two methods. The accuracy of digital twin wireless communication is kept at 98% or above, and the system operation is disturbed to a small extent. It shows that digital twin technology is suitable for monitoring the complex structure inside the distribution room.

A Reliable People Tracking in Nuclear Power Plant Control Room Monitoring System Using Particle Filter

A Reliable People Tracking in Nuclear Power Plant Control Room Monitoring System Using Particle Filter

Integrated Room Monitoring and Air Conditioning Efficiency Optimization Using ESP-12E Based Sensors and PID Control Automation: A Comprehensive Approach

This study addresses the critical need for efficient room monitoring and air conditioning systems, particularly in educational settings like the STMIK STIKOM Indonesia campus. The paper introduces a novel approach that combines ESP-12E based sensors with Proportional-Integral-Derivative (PID) control automation to optimize air conditioning efficiency. Utilizing an ESP-12E microcontroller, the study designed and implemented a room monitoring tool equipped with DHT22 and BH1750 sensors for accurate measurement of temperature, humidity, and light intensity. We also explores the integration of a PID control system into an existing air conditioning (AC) unit. The PID controller was fine-tuned to maintain a stable indoor temperature of 25oCelsius, even when subjected to external heat loads, such as ten LED lamps. The effectiveness of this system was quantified through real-time monitoring of temperature, humidity, and energy consumption, both pre- and post-implementation. Results indicated a rapid and stable response from the PID controller, achieving an amplitude of 1 within 0.08 seconds, thereby confirming its successful tuning and adaptability. We found that this study has broader implications for enhancing energy efficiency and creating conducive learning environments. However, it is worth noting that the research was conducted under specific conditions, and further studies could explore its applicability in different settings.

Testing and Evaluation of Low-Cost Sensors for Developing Open Smart Campus Systems Based on IoT.

Urbanization has led to the need for the intelligent management of various urban challenges, from traffic to energy. In this context, smart campuses and buildings emerge as microcosms of smart cities, offering both opportunities and challenges in technology and communication integration. This study sets itself apart by prioritizing sustainable, adaptable, and reusable solutions through an open-source framework and open data protocols. We utilized the Internet of Things (IoT) and cost-effective sensors to capture real-time data for three different use cases: real-time monitoring of visitor counts, room and parking occupancy, and the collection of environment and climate data. Our analysis revealed that the implementation of the utilized hardware and software combination significantly improved the implementation of open smart campus systems, providing a usable visitor information system for students. Moreover, our focus on data privacy and technological versatility offers valuable insights into real-world applicability and limitations. This study contributes a novel framework that not only drives technological advancements but is also readily adaptable, improvable, and reusable across diverse settings, thereby showcasing the untapped potential of smart, sustainable systems.

A One-Year Environmental and Microbiological Monitoring of Storage Areas and Production Room of a Pharmaceutical Industry from Northern Nigeria

The degradation and reduction of the potency of both raw materials and finished pharmaceutical products (FPPs) are of great concern to pharmaceutical industries, making the environmental monitoring of storage areas and production rooms a must. In this study, a one year monthly data for environmental and microbiological monitoring for storage areas (raw materials quarantine room, raw materials approved room, finished product quarantine room and finished product approved room) and production room were collected and analyzed using IBM SPSS Statistics Version 23. The results revealed that the lowest temperature (21.01oC) was obtained from the raw materials approved room. At the same time, the highest (29.50oC) was recorded from the finished product quarantine room. In contrast, the lowest relative humidity of 11.11% was obtained from raw materials quarantine room while raw materials approved room had the highest relative humidity of 33.33%. The results obtained for microbial loads showed that Escherichia coli, Staphylococcus aureus, Salmonella typhimurium and Pseudomonas aeruginosa recorded 0.00cfu/ml each. In contrast, the value obtained for total viable aerobic mesophilic bacteria plate count ranges from 0.00-28.67 cfu/ml and fungi range from 0.67-5.00 cfu/mL respectively. The significant difference was determined at p&lt;0.05. However, the results obtained for the temperature, relative humidity and microbial loads were within the stated specifications. This shows that the temperature and relative humidity of the storage areas and the production room were controlled and well monitored in line with the current good manufacturing practice which will eventually positively impact the quality, marketability and stability of raw materials and drug products. Environmental monitoring of storage areas and production room should be highly encouraged in pharmaceutical industries to curb the menace of speedy degradation and loss of potency experienced in raw materials and finished pharmaceutical products.

Wireless Sensor Network Based Server Room Temperature Monitoring System

A remote temperature monitoring system has been created in the server room using LoRa technology which is based on preventing overheating on servers which can affect the performance of components in the server. The research objective is to design and implement a new LoRa-based server room monitoring system design. The targets of this research are (a) creating a system prototype, (b) programming the system with the help of Arduino IDE, (c) measuring system performance. The research method starts from making a prototype and measuring system performance. The results of system performance measurements, testing on LoRa showed the best RSSI results of -56 dBm, temperature data from 17°C -19°C and humidity from 55% to 59% in the server room. Overall the tool can function well.

Rancang Bangun Rumah Budi Daya Jamur Tiram Berbasis Internet Of Things di Desa Argumulyo, Yogyakarta

Argomulyo Village is one of the areas that is the center of the oyster mushroom industry. The current condition of the mushroom cultivation system in Argomulyo Village still uses a conventional system, causing various problems. For example, there is no automatic room monitoring and controlling system and the watering method is still manual. This has an impact on mushroom growth because the temperature and humidity of the barn are not maintained, thus reducing cultivation productivity. Therefore, the author offers an IoT-based mushroom cultivation technology innovation for the Argumulyo Village community. The research method used is the literature study method sourced from valid journal and print media data in accordance with the research objectives. The technology is designed by utilizing solar panels as an energy source and equipped with automatic controls that can be controlled with a Smartphone to make operation easier. Features in the application are monitoring temperature, humidity, watering, and heating the room. The application of technology is expected to improve the economy of oyster mushroom cultivators with more modern cultivation solutions.

Research on the design and application of intelligent teaching management system of intelligent training room in the background of internet

Abstract Higher vocational colleges and universities have recently been booming from number to scale. While the increase in enrollment scale and equipment value has brought great benefits to schools and greatly improved their teaching capacity, it has also brought problems to equipment management. In traditional practical training room management, problems such as low equipment utilization, work efficiency, and teaching efficiency are encountered. Along with the development of Internet technology, real-time monitoring and intelligent management of practical training rooms are possible. This paper firstly thus proposes the logical level, management dimensions, and information interaction contents of the intelligent, practical training management system to establish the architecture of the intelligent, practical training management system, and thus leads to the key technologies and methods for the design and establishment of the intelligent, practical training management system. Secondly, starting from the analysis of the training process, the bottom physical environment is sorted out in detail. The four dimensions of equipment status, consumables status, energy consumption status and teaching status of the smart training management system are collected in the information. The smart training management system model is established to analyze the data in a single dimension and derive effective information to help managers manage collaboratively. Finally, the model’s effectiveness is verified by applying the smart training room management system in Z higher education institutions in Xiamen. The study of Xiamen Z higher vocational institution in this paper shows that the use of an intelligent teaching management system effectively improves performance by 34.12%, the affiliation and utility rate of an Bar and coffee training room is better than the traditional training platform, and the influence parameter on the learning process of Xiamen Z higher vocational institution is found to be 79.62 through classification, which provides effective decision for teachers to implement differentiated teaching. The intelligent teaching management system proposed in this paper realizes data visualization of the training room equipment, provides data support for teachers to set differentiated teaching programs, improves teaching efficiency, improves students’ practical training skills through data-based analysis of problems in students’ practical training, and provides motivation for talent training in universities.

Research on Cloud-Edge-Terminal function configuration based on differentiated low-voltage intelligent distribution network

At the present, more than 30 low-voltage intelligent distribution rooms have been built in Yunnan Power Grid, covering incoming cabinets, distribution substations, low-voltage switches and environmental monitoring, etc. The intelligent distribution rooms use the Cloud-Edge-Terminal architecture model for intelligent management, monitoring and control of low-voltage distribution rooms but there are generally problems such as low level of heterogeneous data application, insufficient correlation analysis capability, fault location. However, there are problems such as low level of heterogeneous data application, insufficient correlation analysis capability, inaccurate fault location, excessive network load, insufficient sensing capability of sensing terminals and unreasonable configuration. Based on the application model of low-voltage intelligent distribution network of Yunnan power grid, Our paper intends to summarize the experience and methods to support operation and maintenance, fault repair and customer service and study the differentiated low-voltage intelligent distribution Cloud-Edge-Terminal solution to improve the efficiency of intelligent distribution network operation and maintenance.

The use of the Excellence of Google Assistant for Smart Room Monitoring and Control

The development of technology in modern times is increasingly sophisticated, so as to create a tool that facilitates human work in operating these electronic goods. When you want to travel far and for a long time, there are often omissions due to forgetting to turn off electronic items such as lights and fans. This does not save the cost of electricity bills and is of course very detrimental. This research was conducted to create a utilization of the advantages of Google Assistant for monitoring and controlling smart rooms. The use of Google Assisstant is very easy if you want to control electronic devices at one time and especially at a very long distance. The electronic devices used in this study were headlights, RGB lights, rice cookers, humidifiers and DC fans. The results of this research can control the lights, rice cooker and humidifier remotely, the fan turns on at a predetermined speed according to the temperature in the room and there is a timer to turn the lights on and off automatically so that it greatly facilitates human work.

Research on Thermal and Humidity Environment of Cultural Relics Exhibition Room

In order to meet the needs of humanistic education, museum buildings have developed vigorously in recent years. The protection and display of cultural relics is an effective way to continue historical information, which has important social and cultural significance. During the design and operation of the building air conditioning system, both the thermal and humidity environment of the cultural relics exhibition room should be responsible for the safety of the displayed cultural relics and the thermal comfort of visitors should be considered. In this paper, the indoor thermal and humidity environment of a cultural relic exhibition room in Beijing was measured, and the indoor air velocity distribution and temperature and humidity distribution were obtained. The results show that the thermal and humidity environment of the cultural relics exhibition room is better, but the indoor temperature of the exhibition room is lower, which still has great energy saving potential. It needs to be improved in the future engineering practice to achieve double optimization of comfort and energy saving effect. In order to achieve accurate control of the indoor thermal and humidity environment of the cultural relics exhibition room, we built a data collection for thermal environment parameters and air quality, which is used for monitoring and data collection of the cultural relics exhibition room.

Clinical Practice Guidelines for the Use of Electroconvulsive Therapy.

Clinical Practice Guidelines for the Use of Electroconvulsive Therapy.

Research on Environment Monitoring of Network Computer Rooms in Colleges and Universities Based on The Internet of Things Technology

Research on Environment Monitoring of Network Computer Rooms in Colleges and Universities Based on The Internet of Things Technology