Carbon Monoxide Sensor Research Articles

IoT-Enabled Fire Alarm System with Cloud-Based Storage and Monitoring

Abstract: The purpose of a fire alarm system is to warn us of an emergency so that we can take precautions to safeguard ourselves, our employees, and the public. However, modern fire alarm systems require a significant amount of wiring and labor during installation. The most frequent issues that was encountered during monitoring commercial and residential fire alarm systems are false alarms, inappropriate installation, lost connections, malfunctioning or aged equipment, and careless maintenance that discouraged users from putting them in their houses as a result. Hence, the researcher developed an IoT-based fire alarm system connected to several types of sensors and micro-controller distributed over the building and house. Each of these nodes is made up of an Arduino microcontroller that is coupled with smoke, temperature, humidity, flame, methane, and carbon monoxide (CO) sensors. Thus, an innovative system is designed with the help of Internet of Things (IoT) that records live reading of sensors and stored in cloud interface which also lessens the investigation process of the authorities concerned. Results shows that majority of the evaluators responded to the functionality of the proposed system to be Superior and provide all the functionality required for the system to detect and prevent fire occurrences.

Current Advances of CO Sensing Based on Low Dimensional Materials.

Carbon monoxide (CO) is a harmful gas with significant impacts on human health and the environment. Its timely detection, especially in the event of thermal runaway in automotive lithium batteries, is crucial to prevent casualties. This paper reviews the progress in the development of efficient, sensitive, and reliable CO sensors, focusing on electrochemical, optical, and resistive sensing materials. Low-dimensional materials have a large specific surface area, providing an abundant number of active sites, which has drawn extensive attention from researchers. According to the different sensor signals, we categorized these sensors into electrical and optical signal sensors. We hope that by systematically introducing the sensing mechanism and sensing performance of these two kinds of sensors, appropriate CO sensors can be developed in different application scenarios so as to realize early warning and monitoring to the maximum extent, reduce industrial losses, and ensure the life and health of personnel.

Series of Fluorescent Dyes Derived from Triphenylamine Structure for Cu2+ and In-Cell Carbon Monoxide Sensing: Synthesis and Performance.

In this paper, triphenylamine served as the structural core and was bonded to aromatic groups having various substituents [-OH, -OMe, or -N(Et)2] by a =N-N= chain and then connected with aromatic groups having various substituents [-OH, -OMe, or -N(Et)2]. The geometric and electronic properties of these probes were examined. It was found that the presence of electron donors enhanced the selectivity and emission quantum yield (QY). When exposed to Cu2+, the fluorescence intensity decreased. The optimal probe (T5) showed a significant decrease in emission QY from 17.1 to 0.5% and recovered to 16.8% after exposure to CO for 342 s. The sensing mechanism was revealed to be static quenching, forming a nonfluorescent adduct between probe and Cu2+. After reacting with CO, Cu2+ was reduced to Cu+, and the probe emission was recovered. The bioimaging performance of the optimal probe was assessed as well.

Mass Carbon Monoxide Poisoning at a Daycare: A Public Health Lesson.

Carbon monoxide (CO) poisoning is a leading cause of preventable toxicity-related deaths in the United States. We describe a case series of 16 individuals who were exposed to CO due to a malfunctioning furnace at a Pennsylvania daycare, a state which did not mandate CO detectors in daycares. An institutional review board-approved retrospective analysis was performed, and de-identified patient records were examined. Collected data included age, sex, race, ethnicity, CO concentrations, arrival time, time to hyperbaric oxygen center contact, and time to transfer and discharge. Emergency medical services transported 16 patients to a tertiary care emergency department (ED) with both adult and pediatric departments. Fourteen patients were 10 years of age or younger. Fifteen patients arrived within one hour. Sixty-two percent (N=10) were male, and 94% (N=15) identified as Hispanic. Emergency physicians, medical toxicologists, clinicians, interpreters, and volunteers from across the hospital system were mobilized to the ED to assist with management. This large-scale daycare CO poisoning represents a potentially avoidable mass casualty incident among children and daycare staff and necessitated significant coordination of care. CO detectors in Pennsylvania daycares would provide early warning for staff, prevent or minimize toxicity, inform first responders, and better prepare EDs to handle similar situations.

A cost-effective method for quantifying soil respiration

Soil respiration is a critical indicator of microbial activity, reflecting soil health and its ability to deliver essential ecosystem services and functions. Chamber-based measurements provide direct observations and are relatively simple to implement, making them a popular choice for soil respiration studies. However, current methods to quantify soil respiration are limited in their applicability by high costs, substrate requirements, accuracy concerns and substantial setup time. With an increasing emphasis on routine analysis of soil respiration, existing methods are insufficient to provide the temporal and spatial scale required to proliferate soil respiration data. This study assesses the potential of an affordable and commercially available Non-Dispersive Infrared (NDIR) CO2 detector, used in conjunction with an easy-to assemble closed chamber, to provide reliable and accessible soil respiration measurements. The CO2 detectors utilised in this study are cost-effective yet precise digital detectors, successfully validated against a laboratory reference sensor and the standard alkali trap method. Beyond that, the detector has effectively yielded consistent results across replicates and demonstrated sensitivity similar to standard methods. The proposed detector offers an alternative to traditional laboratory methods by removing the necessity to perform soil respiration analysis in a laboratory setting. The proliferation of soil respiration data would facilitate the increasing interest in accessible information on soil respiration from stakeholders, citizen scientists and decision makers.

Carbon monoxide-related fatalities: A fifteen-year single institution experience.

The winter climate in Delhi is severe, with temperatures dropping below 10°C. As a result, individuals often resort to utilizing diverse heat sources such as electrical heating appliances, coal and gas geysers. Unfortunately, these sources are commonly associated with the emission of carbon monoxide (CO) which can accumulate in inadequately ventilated spaces. Exposure to this noxious gas can lead to acute lethargy and debilitation, leaving individuals in a state of helpless distress. The present study utilized a retrospective descriptive analysis to examine cases of fatal carbon monoxide exposure retrieved from the Department of Forensic Medicine archives at the esteemed All India Institute of Medical Sciences, New Delhi. Autopsy records were thoroughly examined with respect to various parameters including age, gender, seasonality of the incident, circumstances surrounding the death, source of carbon monoxide generation, post mortem observations, as well as toxicological analysis reports. This study entailed an analysis of 56 individuals who fell victim to carbon monoxide poisoning, with a staggering 95% of fatalities occurring during the winter season. The majority of the individuals affected belonged to the age bracket of 21-30 years. The most common sources of carbon monoxide exposure were linked to the use of coal-burning earthen or iron vessels for room heating, as well as structural fires. With the exception of one case, all incidents were accidental in nature. Additionally, nearly all of the victims were discovered in enclosed spaces with heating equipment in close proximity, and evidence of a struggle was noted on the crime scene or with the deceased. The findings of this study indicate that the principal contributor to the inadvertent build-up of lethal concentrations of carbon monoxide gas is the utilization of heating appliances within inadequately ventilated, enclosed spaces. Due to the scentless and non-irritating properties of this gas, individuals who are asleep may be unable to detect its presence in their surroundings, thereby leading to a silent death. To mitigate such risks, the installation of carbon monoxide detectors is crucial. Additionally, it is of utmost importance to raise public awareness regarding the perils associated with using fire pots, coal burning and electrical heating appliances in areas with insufficient ventilation.

CO2 Concentration Assessment for Infection Monitoring and Occupancy Analysis in Tanzanian COVID-19 Isolation Centers

Monitoring of IAQ is one of the foundations of the preventative actions prompted by the worldwide recognition of COVID-19 transmission. The measurement of CO2 has emerged as one of the most popular, dependable, and easy ways to indirectly evaluate the state of indoor air renewal. Reducing the risk of respiratory diseases transmitted by aerosols is attainable through implementing and validating prevention measures made possible by CO2 control. Isolation centers are like health facilities in that they are linked to IAQ, and the presence of natural ventilation can significantly improve the circulation of fresh air, which speeds up the removal of contaminants. This is true even though healthcare facilities are among the environments with the highest rate of COVID-19 propagation. Our investigation revealed, however, that no substantial critical data on air quality in Tanzanian isolation centers is presently available. The process of metabolic CO₂ creation and accumulation within health isolation center cubicles was investigated in this study. Crucially, we suggest comparing settings under various conditions using the indicator ppm/patient. In this research, we experimentally assessed the value of changing a few HVAC system characteristics. We looked at the data to see how well the filtration system worked concerning the submicron particle concentration. Study recommendations for CO2 detectors and ways to reduce infection risk in shared isolation center cubicles are provided. We also show the correlation between particle size and CO2 concentration, the correlation between CO2 concentration derivatives and air volume presented per patient in isolation cubicles, the correlation between patient occupancy and CO2 concentration levels in isolation cubicles, and how to improve air quality by adjusting the patient’s bed position. The study also found that for exposure lengths of two to three hours, a typical hospital cubicle with fifty to one hundred people should have an average interior CO₂ value of less than 900 ppm. Carers’ length of stay in the hospital substantially impacted the permissible CO2 concentration. By establishing a connection between indoor air monitoring and healthcare goals, this study will aid in determining the feasibility of establishing regulations for interior CO2 content depending on occupancy settings, strengthening preventive efforts against COVID-19. In the post-pandemic era, it will be essential to find ways to make health facilities air cleaner so that infectious diseases cannot spread in the future.

Low level carbon monoxide detection using chemically reduced graphene oxide deposited ZnO nanorods

Carbon monoxide (CO) is a toxic and extremely dangerous gas commonly produced from partial combustion of fossil fuels from automobiles, industries and power plants, etc. Prolonged inhalation of CO with higher concentration (150–200 ppm) causes convulsions, respiratory arrest and even may lead to death. Therefore, a low-cost highly sensitive CO sensor with low detection limit is needed for environmental and biomedical applications. A resistive CO gas sensor was fabricated using zinc oxide nanorods (ZnO NRs). The sensor sensitivity, response, and detection limit have been enhanced by depositing reduced graphene oxide (rGO). The maximum sensitivity was obtained with 25 µl rGO loading at ∼190 °C operating temperature. The sensor demonstrated high selectivity towards the interfering gases like nitric oxide, acetone, alcohol and ammonia. rGO loaded ZnO NRs based CO gas sensor exhibited sensitivity 0.9 ppm-1 with lower limit of detection ∼14.3 ppb.

Real time monitoring of carbon dioxide levels in surgical helmet systems worn during hip and knee arthroplasty

BackgroundOrthopaedic surgical helmet systems (SHS) rely on an intrinsic fan to force clean external air over the wearer. Carbon dioxide (CO2) is produced through aerobic metabolism and can potentially accumulate inside the SHS. Levels above 2500 ppm have previously been shown to affect cognitive and practical function. Maximum Health and Safety Executive (HSE) 8-h exposure limit is 5000 ppm. There is a paucity of data on real-world CO2 levels experienced during arthroplasty surgery whilst wearing a SHS. ObjectivesTo determine intra-operative levels of CO2 experienced within SHS. MethodsCO2 levels were continuously recorded during 30 elective arthroplasties, both primary and revision. Data was recorded at 0.5Hz throughout the procedure utilising a Bluetooth CO2 detector, worn inside a surgical helmet worn with a toga gown. Five surgeons contributed real time data to the study. ResultsThe average CO2 level across all procedures was 3006 ppm, with 23 of the cases measured within the surgeons’ helmets having a mean above 2500 ppm, but none having a mean above 5000 ppm. For each procedure, the time spent above 2500 and 5000 ppm was calculated, with the means being 72.6 % and 5.4 % respectively. Minimum fan speed was associated with only a marginally higher mean CO2 value than maximum fan speed. DiscussionThe use of surgical helmet systems for elective orthopaedic surgery, can result in CO2 levels regularly rising to a point which may affect cognitive function. ConclusionFurther research is needed to corroborate these findings however, we recommend that future designs of SHS include active management of exhaust gases, possibly returning to Charnley's original design principles of the body exhaust system.

Design of a mining carbon monoxide sensor and analysis of multi-gas cross-interference performance

Abstract A new type of carbon monoxide sensor is designed to address the issue of cross interference of nitrogen oxide gas in the exhaust emissions of underground diesel engine rubber-tired vehicles with electrochemical carbon monoxide sensors, which leads to frequent false alarm accidents. The hardware circuit design of the DC-DC voltage reduction power supply circuit, display circuit, component signal processing circuit, etc. is detailed, At the same time, the sensitive components used in the sensor adopt a special gas filtration membrane design. Six types of gases, including hydrogen sulfide, nitric oxide, nitrogen dioxide, hydrogen, ethylene, and acetylene, were sequentially introduced in the laboratory for experimental analysis of multi-gas cross-interference performance. The experimental results have shown that the new carbon monoxide sensor can filter out nitrogen oxide gas, thereby solving the impact of underground rubber tire vehicle exhaust on the accuracy of carbon monoxide gas detection. It has broad prospects for promotion and application in coal mines underground.

Concentration and variation of traffic-related air pollution as measured by carbon monoxide in Hawassa City, Ethiopia

Air pollution is a pressing problem and causes millions of deaths each year related to its effects on respiratory health worldwide. Despite its significant impact, information on air pollution in many cities, including Hawassa city, remains limited. The aim of this study was to determine the concentrations and variations of traffic-related air pollution, as measured by carbon monoxide, and its relationship with temperature, relative humidity, traffic flow, and road routing in Hawassa City. We monitored carbon monoxide (CO) concentrations in Hawassa city, Ethiopia, for 24 days using real-time monitors with carbon monoxide sensor head. A total of 24 different roads (12 high-traffic congested roads and 12 low-traffic congested roads) were included as monitoring sites. We conducted 1 hour monitoring at each monitoring site in the morning and afternoon to characterize the temporal variations. Accordingly, the average carbon monoxide concentrations varied temporally at different times. In addition, the average carbon monoxide concentrations on paved main roads, traffic light roads and low-traffic flow roads were 4.87 ± 0.6 ppm, 5.38 ± 0.8 ppm and 1.62 ± 0.53 ppm, respectively. The study also identified factors that correlated positively with carbon monoxide concentration, including temperature, relative humidity, traffic flow and road routing. The study concludes that long-term monitoring of carbon monoxide concentrations is necessary to fully characterize the health effects. The study also provides valuable insights for urban planners when implementing measures to mitigate the negative effects.

Neonatal Resuscitation Practices in Portuguese Delivery Rooms: A Cross-Sectional Study.

Data from previous studies have demonstrated inconsistency between current evidence and delivery room resuscitation practices in developed countries. The primary aim of this study was to assess the quality of newborn healthcare and resuscitation practices in Portuguese delivery rooms, comparing current practices with the 2021 European Resuscitation Council guidelines. The secondary aim was to compare the consistency of practices between tertiary and non-tertiary centers across Portugal. An 87-question survey concerning neonatal care was sent to all physicians registered with the Portuguese Neonatal Society via email. In order to compare practices between centers, participants were divided into two groups: Group A (level III and level IIb centers) and Group B (level IIa and I centers). A descriptive analysis of variables was performed in order to compare the two groups. In total, 130 physicians responded to the survey. Group A included 91 (70%) and Group B 39 (30%) respondents. More than 80% of participants reported the presence of a healthcare professional with basic newborn resuscitation training in all deliveries, essential equipment in the delivery room, such as a resuscitator with a light and heat source, a pulse oximeter, and an O2 blender, and performing delayed cord clamping for all neonates born without complications. Less than 60% reported performing team briefing before deliveries, the presence of electrocardiogram sensors, end-tidal CO2 detector, and continuous positive airway pressure in the delivery room, and monitoring the neonate's temperature. Major differences between groups were found regarding staff attending deliveries, education, equipment, thermal control, umbilical cord management, vital signs monitoring, prophylactic surfactant administration, and the neonate's transportation out of the delivery room. Overall, adherence to neonatal resuscitation international guidelines was high among Portuguese physicians. However, differences between guidelines and current practices, as well as between centers with different levels of care, were identified. Areas for improvement include team briefing, ethics, education, available equipment in delivery rooms, temperature control, and airway management. The authors emphasize the importance of continuous education to ensure compliance with the most recent guidelines and ultimately improve neonatal health outcomes.

Development, Demonstration, and Evaluation of Routine Monitoring of Aerosol Carbon, Oxygen, and Sulfur Content.

Traditional online measurements of the chemical composition of particulate matter have relied on expensive and complex research-grade instrumentation based on mass spectrometry and/or chromatography. However, routine monitoring requires lower-cost alternatives that can be operated autonomously, and such tools are lacking. Routine monitoring of particulate matter, especially organic aerosol, relies instead on offline techniques such as filter collection that require significant operator effort. To address this gap, we present here a new online instrument, the "ChemSpot", that provides information on organic aerosol mass loading, volatility, and degree of oxygenation, along with sulfur content. The instrument grows particles with water condensation, impacts them onto a passivated surface with low heat capacity, and uses stepped thermal desorption of analytes to a combination of flame ionization detector (FID) and flame photometric detector (FPD) and then to a CO2 detector downstream of the FID/FPD setup. By relying on detectors designed for gas chromatography, calibration is achieved almost entirely through the introduction of gases without the need for regular introduction of particle-phase calibrants. Particle collection efficiency of greater than 95% was achieved consistently, and the collection cell was shown to rapidly and precisely heat to ∼800 °C at a rate as fast as 10 °C per second. Measurements of total organic carbon, volatility distribution of organic aerosol, total sulfur, and oxygen-to-carbon ratio (O:C) collected during a continuous multi-week period are presented here to demonstrate the autonomous operation of "ChemSpot". Colocated measurements with a mass spectrometer, an aerosol chemical speciation monitor (ACSM), show good correlation and relatively low bias between the instruments (mean absolute percentage error of 21% and 27% for organic carbon and equivalent sulfate measurements, respectively).

A Mini-Review on Metal Oxide Semiconductor Gas Sensors for Carbon Monoxide Detection at Room Temperature

Carbon monoxide can cause severe harm to humans even at low concentrations. Metal Oxide Semiconductor (MOS) carbon monoxide gas sensors have excellent sensing performance regarding sensitivity, selectivity, response speed, and stability, making them very desirable candidates for carbon monoxide monitoring. However, MOS gas sensors generally work at temperatures higher than room temperature, and need a heating source that causes high power consumption. High power consumption is a great problem for long-term portable monitoring devices for point-of-care or wireless sensor nodes for IoT application. Room-temperature MOS carbon monoxide gas sensors can function well without a heater, making them rather suitable for IoT or portable applications. This review first introduces the primary working mechanism of MOS carbon monoxide sensors and then gives a detailed introduction to and analysis of room-temperature MOS carbon monoxide sensing materials, such as ZnO, SnO2, and TiO2. Lastly, several mechanisms for room-temperature carbon monoxide sensors based on MOSs are discussed. The review will be interesting to engineers and researchers working on MOS gas sensors.

Colorimetric CO2 Detector to Improve Effective Mask Ventilations in Very Preterm Infants: A Pilot Randomized Controlled Study

Introduction: End-tidal CO2 (ETCO2) detector is currently recommended for confirmation of endotracheal tube placement during neonatal resuscitation. Whether it is feasible to use ETCO2 detectors during mask ventilation to reduce risk of bradycardia and desaturations, which are associated with increased risk of death in preterm babies, is unknown. Methods: This is a pilot randomized controlled trial (NCT04287907) involving newborns 24 + 0/7 to 32 + 0/7 weeks gestation who required mask ventilation at birth. Infants were randomized into groups with or without colorimetric ETCO2 detectors. Combined duration of any bradycardia (<100 bpm) and time below prespecified target oxygen saturation (SpO2) as measured by pulse oximetry were compared. Results: Fifty participants were randomized, 47 with outcomes analysed (2 incomplete data, 1 postnatal diagnosis of trachea-oesophageal fistula). Mean gestational age and birthweight were 28.5 ± 1.9 versus 29.4 ± 1.6 weeks (p = 0.1) and 1,252.7 ± 409.7 g versus 1,334.6 ± 369.1 g (p = 0.5) in the intervention and control arm, respectively. Mean combined duration of bradycardia and desaturation was 276.7 ± 197.7 s (intervention) and 322.7 ± 277.7 s (control) (p = 0.6). Proportion of participants with any bradycardia or desaturation at 5 min were 38.1% (intervention) and 56.5% (control) (p = 0.2). No chest compressions, epinephrine administration, or death occurred in the delivery room. Conclusion: This pilot study demonstrates the feasibility of a trial to evaluate colorimetric ETCO2 detectors during mask ventilation of very preterm infants to reduce bradycardia and low SpO2. Further assessment with a larger population will be required to determine if ETCO2 detector usage at resuscitation reduces risk of adverse outcomes, including death and disability, in very preterm infants.

PLC BASED SCADA SYSTEM DESIGN FOR INSTANT MONITORING AND EARLY WARNING MECHANISM OF TOXIC GASES IN UNDERGROUND MINES

In this study, a real-time toxic gas measurement and early warning mechanism is proposed to prevent accidents that may occur in underground mining facilities. Temperature, oxygen (O2), hydrogen sulfide (H2S), methane (CH4), carbon monoxide (CO) and dust density sensor data are read via Arduino Mega analog inputs. All sensor data is transferred to the PLC-SCADA (Programmable Logic Controller - Supervisory Control and Data Acquisition) system via ethernet in real time. Thanks to the designed SCADA screen, sensor values can be monitored instantly. In addition, it can be checked whether the system is alarm and whether the ventilation system works. According to the underground coal mine regulations, work cannot be done in places where the mine air contains less than 19% oxygen, more than 2% methane, more than 50 ppm (0.005%) carbon monoxide and other hazardous gases. The highest permissible hydrogen sulfur ratio for 8 hours of operation is 20 ppm (0.002%). An early warning mechanism was created with the algorithm written taking these limits into consideration. The tests of the designed system were carried out in a laboratory environment and successful results were observed.

Development and Implementation of an FPGA-Embedded Multimedia Remote Monitoring System for Information Technology Server Room Management

Conventional data acquisition systems face challenges in achieving high acquisition speeds and rapid storage of large data volumes using microcontrollers. In contrast, field-programmable gate arrays (FPGAs) offer numerous advantages, including high clock frequencies, minimal internal delays, fast operational speeds, abundant internal RAM resources, and simplified control of complex peripheral circuits. This study presents the design of an FPGA-based multimedia remote monitoring system for information technology server rooms. The proposed system utilizes an FPGA as the primary controller and incorporates environmental sensors, electrical energy sensors, carbon monoxide sensors, smoke sensors, and A/D converter modules to monitor multiple locations within the server room. Simultaneously, the FPGA transmits the collected data from each monitoring point via a serial port to an LCD serial screen for display. An alarm is triggered if any environmental anomalies are detected, indicating abnormal statuses. Additionally, the system employs the fast Fourier transform algorithm and butterfly operations to derive voltage and current AC quantities, while utilizing relative temperature differences to identify equipment faults within the server room. The system is evaluated in terms of functionality, user-friendliness, and reliability. Experimental results demonstrate that all performance measures align with expectations, fulfilling the initial design objectives and highlighting the potential applicability and relevance of FPGA technology in the monitoring field. In addition, a comparison between FPGA and traditional microcontroller systems is performed, showcasing the superior processing speed and performance of the FPGA-based system. This comparative analysis further validates the advantages of using FPGA technology in high-speed data acquisition and monitoring applications.

Cold-Resistance Characteristics and Adequacy of Low-Temperature Test Standards of Carbon Monoxide Alarms

In this study, we considered domestic and international standards to experimentally evaluate and analyze the cold-resistance characteristics of carbon monoxide alarms and assess the suitability of low-temperature test standards. The analyzed standards include the technical standards for type approval and product inspection of gas leak detectors, specifically KS C 6596, Britain's BS EN 50291-1, and Japan's JIA E 001-07. We found that the technical standards specify a temperature of –20 °C for 1 h; those for KS C 6596 are –10 °C for 2 h; those for Britain’s BS EN 50291-1 are –10 °C for 6 h; and those for Japan’s JIA E 001-07 follow suit. We inferred that the low-temperature test of the technical standards for type approval and product inspection of gas leak detectors required the highest cold resistance. Furthermore, we experimented on samples from two domestic manufacturers, employing the low-temperature test standards deduced from the standard analysis to examine their characteristics. All test samples operated normally when subjected to a temperature of –20 °C for 1 to 4 h, and similarly maintained normal operation at –10 °C for 6 and 24 h. These findings indicate that the carbon monoxide alarms certified in Korea have a high cold resistance. Additionally, this study entailed a review of the low-temperature test standards for carbon monoxide alarms by analyzing the temperature conditions of apartment verandas, where these alarms are predominantly installed. Based on the results, the cold resistance tended to be high using the low-temperature test standards for carbon monoxide alarms. The findings of this research can serve as a valuable reference for future revisions of low-temperature test standards.

Rola prewencji społecznej w rozwijaniu bezpieczeństwa w instytucjach oświaty na przykładzie lekcji muzealnych Centralnego Muzeum Pożarnictwa w Mysłowicach

The role of social prevention in developing safety in educational institutions on the example of museum lessons of the Central Fire Museum in Myslowice In the presented article, the authors address issues related to the educational activities of the Central Museum of Fire Fighting in Myslowice. The Myslowice museum, which is also an organizational unit of the State Fire Service, has in its offer a number of educational activities for different age groups. Some of them are part of the tasks implemented in the field of activities related to social prevention in the broadest sense. One such lesson is the class titled “Safe Home,” which is conducted using the Mobile Simulator of Single-Family House Fire Hazards, an innovative multimedia tool. With its help it is possible to address issues related to: the dangers of using an open fire, putting out a grease fire, using fire extinguishers, carbon monoxide detectors, but also, importantly, the topics of alarming and safe evacuation. The simulator is equipped with two computers controlled by a specially designed application, as well as installations to produce light and sound effects. In this way, it is possible to have a multi-faceted effect on the perception of the viewer, so that the information conveyed is reinforced and sinks deeper into the memory, creating the right behavioral patterns in dangerous situations.

Development of an internet of things-based weather station device embedded with O&lt;sub&gt;2&lt;/sub&gt;, CO&lt;sub&gt;2&lt;/sub&gt;, and CO sensor readings

Weather station devices are used to monitor weather parameter conditions, such as wind direction, speed, rainfall, solar radiation level, temperature, and humidity. This article discusses the design of a customized weather station embedded with gas concentration readings, whereby the gas concentration measurement includes oxygen (O&lt;sub&gt;2&lt;/sub&gt;), carbon dioxide (CO&lt;sub&gt;2&lt;/sub&gt;), and carbon monoxide (CO). The measurements and data processing of input sensors were transmitted to an Arduino Uno microcontroller, and the input data were then remitted to Wemos D1 Mini to be uploaded to a cloud server. Furthermore, the gas sensors' characterization methods were also considered to reveal the obtained results of accuracy, precision, linearity, and hysteresis. An android-based mobile application was also designed for monitoring purposes. The system in our experiment utilized an internet connection with a field station, base station, and database server.