Modern Historical and Cultural Values of Volunteer Fire Brigade: Sulsan Volunteer Fire Brigade in Impi-myeon, Gunsan-si, Jeollabuk-do

Data investigations and research on the history of firefighting were conducted considering a recent fire museum construction plan. To devise a plan to develop a volunteer fire brigade (the basis of firefighting) in a situation in which most of the real data have been lost or discarded and only some firefighting vehicles and suppression equipment remain, a site visit and relic survey were conducted at the Sulsan Volunteer Fire brigade site in Impi-myeon in Gunsan-si, Jeollabuk-do. It was found that fire wells, manual pumps used since the Japanese colonial period, volunteer fire brigade buildings, and a fire watchtower installed in the 1960s remain. Based on the results and considering the historical and cultural values of the Sulsan Volunteer Fire brigade in Impi-myeon at that time, this study emphasized the importance of fire history and culture, the need to designate and preserve such sites as registered cultural properties, and the new role of the volunteer fire brigade.

COVID-19 AND SICKNESS INSURANCE BENEFITS (SELECTED ISSUES)

The Act of 2 March 2020 on special solutions related to the prevention, counteraction and combating of COVID‑19, other infectious diseases and crisis situations caused by them introduced a preferential sickness allowance for certain insured persons (i.e. insured persons who are employed in medical entities; insured persons who are employed in social assistance organisational units providing twenty-four-hour services, night shelters and other facilities providing twenty-four-hour care to persons with disabilities, the chronically ill or the elderly; insured persons carrying out the tasks of a member of the voluntary fire brigade). The article analyses the changes made to the legal regulation and the differences between them (e.g. right to sick pay and sickness allowance or only to sickness allowance). The article also draws attention to certain irregularities in the practical application of these provisions.

Important Parameters and Settings in Unmanned Aerial Vehicles

Aim: The article presents a set of parameters and settings for unmanned aerial vehicles (UAV), which is crucial in the operational work of the fire brigade and its importance for the quality of the final material obtained from an RGB camera or a thermal imaging camera. Introduction: Unmanned aerial vehicles (UAVs) are more often and more boldly used by various uniformed formations, including pilots of the State Fire Service and Volunteer Fire Brigades. Currently, they are used to perform recognition of situations and coordination of activities with the use of RGB and thermal imaging cameras. There are also other applications of UAV, including firefighting, but at the moment they are only conceptual solutions, as they have not been tested during an actual firefighting operation. According to the authors, a drone is currently only a carrier of additional devices and its functionality during the operation depends largely on certainty and reliability of a given UAV structure, as well as on the type and quality of the elements and sensors mounted on it. Methodology: A review of literature and press reports, as well as the authors’ experience in working with UAVs and the results of their research were used to analyse the topic. Conclusions: Indicating a set of key parameters for the UAVs used by fire brigade users is only possible to define its application. Therefore, in this study, the authors presented the most common use of unmanned aerial vehicles, for which key parameters were indicated and the impact of these factors on the obtained results of drones was described. Due to the frequent neglect of camera operation and the importance of their parameters, the authors described the most frequently set parameters of photographs and their impact on the final result, which is of key importance for the usefulness of the collected material.

A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China

Rapid urban expansion has brought new challenges to firefighting, with the speed of firefighting rescue being crucial for the safety of property and life. Thus, fire prevention and rescuing people in distress have become more challenging for city managers and emergency responders. Unfortunately, existing research does not consider the negative effects of the current spatial distribution of fire-risk areas, land cover, location, and traffic congestion. To address these shortcomings, we use multiple methods (including geographic information system, multi-criterion decision-making, and location–allocation (L-A)) and multi-source geospatial data (including land cover, point-of-interest, drive time, and statistical yearbooks) to identify suitable areas for fire brigades. We propose a method for identifying potential fire-risk areas and to select suitable fire brigade zones. In this method, we first remove exclusion criteria to identify spatially undeveloped zones and use kernel density methods to evaluate the various fire-risk zones. Next, we use analytic hierarchy processes (AHPs) to comprehensively evaluate the undeveloped areas according to the location, orography, and potential fire-risk zones. In addition, based on the multi-time traffic situation, the average traffic speed during rush hour of each road is calculated, a traffic network model is established, and the travel time is calculated. Finally, the L-A model and network analysis are used to map the spatial coverage of the fire brigades, which is optimized by combining various objectives, such as the coverage rate of high-fire-risk zones, the coverage rate of building construction, and the maintenance of a sub-five-minute drive time between the proposed fire brigade and the demand point. The result shows that the top 50% of fire-risk zones in the central part of Wuhan are mainly concentrated to the west of the Yangtze River. Good overall rescue coverage is obtained with existing fire brigades, but the fire brigades in the north, south, southwest, and eastern areas of the study area lack rescue capabilities. The optimized results show that, to cover the high-fire-risk zones and building constructions, nine fire brigades should be added to increase the service coverage rate from 93.28% to 99.01%. The proposed method combines the viewpoint of big data, which provides new ideas and technical methods for the fire brigade site-selection model.

Algorithm design and analysis of fire rescue problems

With the rapid economic development, the urban space environment is becoming more and more complex, various accidents and disasters occur frequently, and safety risks are increasing. The rescue tasks involved in the fire brigade are showing a trend of diversification and complexity. The fire rescue team always puts the people first and insists on serving the people wholeheartedly. It is the guardian of maintaining social stability in our country and safeguarding the health and safety of people’s lives and property and various disaster affairs. The society needs the participation in the fire rescue team. Aiming at the fire rescue problem, this paper uses the fire rescue call data onto 2016 to 2019 to predict the number of fire rescues / rescued calls based on the difference equation to improve the rescue efficiency of the fire brigade. Taking into account the impact on the domestic epidemiced in 2020 on people’s lives, the adjustment value was introduced to adjust part of the alarm data onto 2020 to ensure the accuracy and reliability of the data. Finally, the second-order difference equation is used to predict the alarm data onto 2021 through the least square method, which verifies the accuracy of the model.

UNIFORMED SERVICES AND EMERGENCY CALL SYSTEM COOPERATION

The study contains the most important information regarding the functioning of uniformed services in the emergency alert system. The matter of the utmost importance is to provide operation and cooperation of the Police and State Fire Brigade with emergency alert system centres. Smooth coordination in terms of sending emergency services units, emergency aid units and extensive cooperation with uniformed services in case of major disasters, are the advantages of the 112 alert system implemented by Poland.

Electronic Hover Craft

Electronic hovercraft is a device which can easily move on sand, water, hill areas and also muddy places. The main reason behind this project is to rescue the people in the flooded region. Our Indian army forces like Indian army, Indian navy will have greater use of this project. For example coming to our local areas just recently happened these situation is in Hyderabad we got floods so many people lose their houses, property.so many people were injuired. There is no such reliable system to rescue there. In that one senior citizen was died due to the helpless situation these type of situation makes so hurting to us. In that cases these type of devices may save their lives. In this system we have Bluetooth, Arduino UNO, propellers, two navigation motors which can give right and forward moving directions. Considering the price, simple implementations this project proses a less cost compare to fire brigade. With the help of Bluetooth in distance we can operate the system. With driving manually we can operate. Due to this one person can be saved. Instead of a driver one extra person can save. By using Bluetooth Arduino control app we can send command to the Arduino. When we give command we can operate, navigate the device with the help of down propeller air fills in cushion with the help of back propeller it will move towards forward direction with this we can control the device navigation for this we have 12volt 3.5Amps Battery power supply. Amplified current version battery to drive the motors.

A Study of the Relationship between Volunteer Fire Brigade Management and the Efficiency of the Fire Administrations of Metropolitan Governments

This study sought to analyze the relationship between the operation of volunteer fire brigades and the efficiency of fire-fighting administrations. To this end, the efficiency of the fire-fighting administrations of 16 metropolitan and provincial governments in South Korea were measured using data envelopment analysis (DEA) from 2011 to 2018. In addition, the relationship between the operation efficiency of the volunteer fire brigade and the fire administration was analyzed using a Tobit regression model. DEA found that the technical efficiency based on constant returns to scale was 82.78 ± 18.12%, the technical efficiency based on variable returns to scale was 89.31 ± 12.46%, and the efficiency of the scale was 91.72 ± 10.56%. Tobit regression analysis found the ratio of volunteer fire brigade personnel, the budget ratio of the volunteer fire brigade, and the enforcement of the Act on the Establishment and Operation of Volunteer Fire Brigades to have significant positive effects on the pure technical efficiency of local governments. In addition, when the ratio of volunteer fire brigade personnel or ratio of budget had a positive effect on the efficiency of fire administration, the enforcement of the volunteer fire brigade statute exerted a positive adjustment effect. This study thus shows that volunteer fire brigades have a positive impact on the efficiency of the fire-fighting administrations of metropolitan and provincial governments.

Verification of impact-based operational weather warnings at ZAMG using real-time fire brigade and eye-witness data

<p>Development, verification and feedback of impact-based weather warnings require novel data and methods. Unlike meteorological data, impact information is often qualitative and subjective, and therefore needs some sort of quantification and objectivation. It is also inherently incomplete: an absence of reporting does not automatically imply an absence of impacts.<br>The reconciliation of impact information with conventional meteorological data demands a paradigm change. We designed and implemented a verification scheme around a backbone of weather-related fire brigade operations and eye-witness reports at ZAMG, the national meteorological service of Austria. Meteorological stations, radar and derived gridded data are conceptualized as a backstop to mitigate impact voids (possibly arising from a lack of vulnerability, exposure or simply a lack of reporting), but are not the primary basis anymore.<br>Operation data from fire brigade units across Austria are stored at civil protection authorities at federal state level and copied to ZAMG servers in real-time. Their crucial information is condensed into a few components: time, place, a keyword (from a predefined list of operations) and an optional free text field. This compact information is cross-checked with meteorological data to single out weather-related operations, which are then assigned to event types (rain, wind, snow, ice, or thunderstorm) and categorized into three different intensity levels („remarkable”, „severe” and „extreme”) according to an elaborated criteria catalogue. This quality management and refinement is performed in a three-stage procedure to utilize the dataset for different time scales and applications:<br> „First guess” based on automatic filtering: available in real-time and used for an immediate adjustment of active warnings, if necessary;<br> „Educated guess” based on a semi-manual plausibility check: timely available (ideally within a day) and used for an evaluation of latest warnings (including possible implications for follow-up warnings);<br> Final classification based on a thorough manual quality control: available some days to weeks later and used for objective verification.<br>Eye-witnesses can report weather events and their impacts in real-time via a reporting app implemented at ZAMG (wettermelden.at). Reports from different sources and trustworthiness are funneled into a standardized API. Observations from the general public are treated like a „first guess”, those from trained observers like an „educated guess”, and are merged with the refined fire brigade data at the corresponding stages.<br>The weather event types are synchronized with our warning parameters to allow an objective verification of impact-based warnings. We illustrate our measures to convert these point-wise impact data into spatial impact information, to circumvent artifacts due to varying population density and to include the “safety net” of conventional meteorological data. Yellow, orange and red warnings are thereby translated into probabilities for certain scenarios, which are meaningful and intuitive for the general public and for civil protection authorities.</p>