Fire Monitoring System Research Articles

Совершенствование информационного обеспечения групп разведки пожара при его мониторинге в здании с использованием инфракрасных технологий

Introduction. The tactical capabilities of fire intelligence groups depend on various factors. It is also important to use information from mobile and stationary fire monitoring systems. The aim of this work is to assess the tactical capabilities of fire intelligence groups without using and using infrared technologies in the fire monitoring system. The paper solves two problems: the analysis of the electromagnetic light spectrum; a model for assessing the tactical capabilities of fire intelligence groups in the monitoring of fire in the building using short-wave infrared technologies. Methods. In the paper there were used mathematical methods, including the method of decomposition of the normalized index of tactical capabilities in theTaylorseries to describe the tactical capabilities of intelligence groups in the fire. Results and discussion . Based on the calculations of the performance and the area of the search area for intelligence teams, the graphs of the search area versus the indicator of the tactical capabilities of the fire intelligence groups and the normalized indicator of the tactical capabilities of the fire intelligence groups were plotted. It is shown that the performance of the intelligence teams depends on the speed of the units of the gas and smoke protection service, the number of units, the effective distance between the units and visibility conditions. In the paper it was proposed the use of short-wave infrared cameras to improve visibility in the smoke during the search and rescue of victims. Conclusion . In the end, it is assumed that the system using infrared technologies will improve 10-15 % visibility for fire links, as well as improve the coordination of fire links. This, in turn, will allow to increase the efficiency of management decision-making in the search and rescue of victims in an inhospitable environment.

Fire monitoring in coal mines using wireless underground sensor network and interval type-2 fuzzy logic controller

From the view of underground coal mining safety system, it is extremely important to continuous monitoring of coal mines for the prompt detection of fires or related problems inspite of its uncertainty and imprecise characteristics. Therefore, evaluation and inferring the data perfectly to prevent fire related accidental risk in underground coal mining (UMC) system are very necessary. In the present article, we have proposed a novel type-2 fuzzy logic system (T2FLS) for the prediction of fire intensity and its risk assessment for risk reduction in an underground coal mine. Recently, for the observation of underground coal mines, wireless underground sensor network (WUSN) are being concerned frequently. To implement this technique IT2FLS, main functional components are sensor nodes which are installed in coal mines to accumulate different imprecise environmental data like, temperature, relative humidity, different gas concentrations etc. and these are sent to a base station which is connected to the ground observation system through network. In the present context, a WUSN based fire monitoring system is developed using fuzzy logic approach to enhance the consistency in decision making system to improve the risk chances of fire during coal mining. We have taken Mamdani IT2FLS as fuzzy model on coal mine monitoring data to consider real-time decision making (DM). It is predicted from the simulated results that the recommended system is highly acceptable and amenable in the case of fire hazard safety with compared to the wired and off-line monitoring system for UMC. Legitimacy of the suggested model is prepared using statistical analysis and multiple linear regression analysis.

Modified Expert Inference Method of Power Substation Monitoring System Based on Expansion of Multi-sensor Utilization for Fire Discrimination

In this paper, we propose a monitoring system that applies a new fire detection method to quantify the possibility of fire by using the modified expert inference method based on fuzzy logic. This system improves the expert inference method through expansion of the utilization of the sensor data related to the fire in multiple sensors and improving the performance of fire detection in the power substation. At this time, the proportional sum operation is applied to the inference process to reflect the data from various sensors during the $$min - max$$ operation on the fuzzy value of the sensor input. By applying the proportional sum operation, the data of all the sensors are reflected in the inference, and the utilization of the sensor is expanded, and consequently, the expert inference is improved. Thus, we can expect a more accurate and careful implementation of power substation fire-monitoring system by applying the expert inference improvement method to fire detection.

Measurement and security trust in WSNs: a proximity deviation based approach

Quality of communication and measurement accuracy are of prime importance in WSN-based applications, as the sensors have to report real-time measurements to enable efficient decision-making. These sensors are often subject to measurement errors, such as noise, nonlinearity, and deviation caused by rapid changes. Sensors are prone to failures and can be targeted by attacks that aim to modify their outputs. To address these drawbacks, measurement should be checked, sensor functions should be protected, and accuracy should be analyzed all the time. In this paper, we propose a trust management framework based on three metrics: the true measurement deviation, group deviation, and security metrics to analyze the accuracy and trustworthiness of sensor data. The third metric considers the attacks detectable at the communication architecture layers. We have derived an analytical model (i) to calibrate the sensors periodically by deciding on their trustworthiness, and (ii) to modify their outputs periodically, whenever needed based on the deviation in measurement. Our simulation results for a real-time fire monitoring system show that the proposed trust framework is efficient in producing 95% accurate and trusted measurements by limiting the frequency of sensor calibrations to a minimal value and by setting a lower boundary of 5% deviation from the true and group value metrics with its added trust at the micro-level by disproving attacks at the protocol layer.

Design and Application of Fuzzy Logic Based Fire Monitoring and Warning Systems for Smart Buildings

Typical fire monitoring and warning systems use a single smoke detector that is connected to a fire management system to give early warnings before the fire spreads out up to a damaging level. However, it is found that only smoke detector-based fire monitoring systems are not efficient and intelligent since they generate false warnings in case of a person is smoking, etc. There is need of a multi-sensor based intelligent and smart fire monitoring system that employs various parameters, such as presence of flame, temperature of the room, smoke, etc. To achieve such a smart solution, a multi-sensor solution is required that can intelligently use the data of sensors and generate true warnings for further fire control and management. This paper presents an intelligent Fire Monitoring and Warning System (FMWS) that is based on Fuzzy Logic to identify the true existence of dangerous fire and send alert to Fire Management System (FMS). This paper discusses design and application of a Fuzzy Logic Fire Monitoring and Warning System that also sends an alert message using Global System for Mobile Communication (GSM) technology. The system is based on tiny, low cost, and very small in size sensors to ensure that the solution is reproduceable. Simulation work is done in MATLAB ver. 7.1 (The MathWorks, Natick, MA, USA) and the results of the experiments are satisfactory.

Shift Reduce Parser Based Malicious Sensor Detection for Predicting Forest Fire in WSNs

Nowadays wireless sensor networks (WSNs) has been used in enormous applications for data collection in an unfriendly environment. Forest fire makes vast hazard to the consuming plant of the world. To preserve the forest from fire, sensor nodes monitor the environment temperature. If the temperature is increased and it exceeds the threshold, the sensor sends the notification message to the fire monitoring system. The forest fire is measured by Fire Weather Index. Most of the existing fire monitoring systems only highlight in detection, but not the verification of the sensor. Suppose, if the attacker inserts any malicious sensor, the malicious sensor sends false information or create an additional delay in fire monitoring system. As a result, the more chances for the forest to be destroyed by fire. To solve this problem, Shift Reduce Parser based Malicious Sensor Detection (SRP_MSD) in WSN is proposed. The Bivariate Pascal Triangle method hides the original identity of nodes, data route from the malicious observer and sends confidential information to the Base Station. This method is analyzed and evaluated using network simulator-2. The results show that it is possible to detect malicious sensor nodes and send the reliable information to the forest fire monitoring system.

다중카메라 기반 파노라마 이미지와 거리측정에 의한 산불 감시 시스템

다중카메라 기반 파노라마 이미지와 거리측정에 의한 산불 감시 시스템

A system to detect potential fires using a thermographic camera

This paper describes a fire monitoring system, based on a thermographic camera, for electrical appliances in interior spaces. These appliances are at particular risk because they are vulnerable to the carelessness of users (46% of electrical appliances fires are caused this way). The system compromises a thermographic camera, rotating on a two-axis robotic arm, controlled by a fire monitoring algorithm that detects the appliances’ status. Once the system’s accuracy and ability to identify the status of each appliance had been tested, the camera’s rotation sequence was planned. To achieve the best efficiency, bearing in mind that fires can break out very quickly, the sequence was based on the distance between monitored appliances. Over a nine-hour period, monitoring six appliances, the proposed method resulted in about 295 (about 7%) more rotations than those produced by a method of arbitrary ordering. This effectiveness increases when more appliances are monitored over greater periods. The system’s main contribution to fire safety is the application and full utilization of the thermal camera, detecting the beginnings of a fire before it can break out.

Wireless sensor network based fire monitoring in underground coal mines: A fuzzy logic approach

Abstract Mine fire is one of the major hazards in underground coal mines. Continuous monitoring of underground coal mines for early detection of fires is very much important from the mines safety point of view. In recent years, wireless sensor network (WSN) has gained enormous attention for monitoring of underground coal mines. In this technique, the sensor nodes are deployed in coal mines for collecting various environmental data, such as temperature, relative humidity, concentrations of different gases, etc. and send these data to a base station (sink) directly connected to the ground monitoring centre. Since the monitoring data are uncertain and imprecise in nature, it is important to interpret and analyze the data for taking measures for preventing fire hazard. In this paper, we propose a WSN-based fire monitoring system for underground coal mines using fuzzy logic approach for enhancing the reliability in decision-making process to alleviate the mine fire hazard. Mamdani fuzzy inference system is used as fuzzy model for taking real-time decisions on monitoring data. The system is extensively simulated using Fuzzy Logic Toolbox in MATLAB. The simulation results revealed that the proposed system is more reliable and responsive to fire hazard as compared to the offline monitoring system used in underground coal mines.

Design of Products in Electrical Fire Monitoring System for EMC Performance

Design of Products in Electrical Fire Monitoring System for EMC Performance

Application of WSN Fire Monitoring System in Coal Mining

Targeted at the potential fire in coal mine production, this paper proposes a coal mine fire monitoring system based on Zig-bee technology, and discusses the network data transmission process in the system. When the system is applied to an actual coal mine, it achieves a sound fire monitoring effect. The wireless sensor network (WSN) coal mine fire monitoring system consists of such three subsystems as data acquisition subsystem, control center subsystem and emergency response subsystem. With sensor nodes as the basic unit, the WSN is divided into five parts: sensor module, treatment module, wireless communication module, location module and power supply module. The system can monitor the air temperature, humidity and smoke concentration of fire in the coal mine, and provide effective basis for monitoring department to make decisions on fire prevention and control measures. The on-site monitoring test shows that, in the event of a fire, the WSN can monitor the trend of fire in the coal mine effectively, reflect the temperature distribution in details, and issue alarms accurately. The conclusion offers a theoretical reference for the development of coal mine fire monitoring technology.

Study on Intelligent Fire Fighting System for Large External Floating-roof Tank

Fire on sealing ring is the main fire form of large external floating-roof tanks. Once fire occurs on the large-scale external floating-roof tank ring, the existing fixed fire extinguishing equipment cannot put out the fire quickly and efficiently, which would result in giant losses. The fire signal can be detected, the fire source can be located automatically and the fire can be extinguished precisely through the combination of the applicable imagine fire monitoring system of the intelligent fireextinguishing system and the automatically fire-fighting gun control system. The capacity of self-explosion prevention and control, fire control and extinguishing of the large scale oil tank will be promoted by extinguishing the fire at the early stage, which will ensure the safety of the operation of the large scale oil tank storage base.

Networked Video Smoke and Fire Monitoring System Based on DM642 and i.MX27

Networked Video Smoke and Fire Monitoring System Based on DM642 and i.MX27

An Efficient Multi-sensing and GSM Equipped Fire Monitoring System

The principal goal of fire monitoring system is to react promptly to a fire and not to misleading particulate signatures produced by nuisance sources. In this paper we proposed a system that not only able to detect and prevent fire at early stages but also capable of interact with surround environment. Recent researches lead us to detect fire by light and heat sensor, image processing, smoke detection mechanism but failed to integrate those in one The advancement on fire detection technologies has been significant over the last few decade due to rapid progress in communication technologies, advances in sensing devices and greater understanding of fire physics. But lack of intelligence among fire monitoring system often failed to make an impact on fire incidents. Our proposed fire monitoring system is incorporated in such a way that can communicate with environment by itself through the help of GSM Modem. Here we introduce an intelligent and advance fire monitoring system that can communicate by itself with fire station and can detect fire at its early stage and extinguish it in the shortest time subject to a few effective factors.

The information fire monitoring system

Розглянуто інформаційну систему пожежного спостереження для підтримки евакуації людей з магазинів і торгового залу у разі виникнення пожежі

Design and application of electrical fire monitoring system in mining industry

To protect mining areas from electrical fire, it is very important to install electrical fire monitoring system to ensure safety in development of mineral resources and for buildings. In this paper, design for electrical fire monitoring and detection system with optional sensor modules has been proposed. In addition, necessity and suitability of electrical fire monitoring and detection system with optional sensor modules in mining areas have been reviewed. The designed electrical fire monitoring and detection system suitable for work environment of mining industry is composed by host-computer monitoring software and slave-computer detectors. Monitoring detectors are manufactured by using embedded technology. External shells deployed have superior enclosure performances and explosion-proof properties. It is easy to install and maintain the system. In general, the system has reached, or even exceeded standards specified in national standards for performances and appearances of such devices. Test results show application of electrical fire monitoring and detection system can effectively enhance monitoring intensity over the mining areas and provide reliable guarantee to ensure orderly development of mineral resources and to protect physical and property safety of citizens in these areas.

Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for Automatic Video-Based Fire Detection

Every year, a large number of wildfires all over the world burn forested lands, causing adverse ecological, economic, and social impacts. Beyond taking precautionary measures, early warning and immediate response are the only ways to avoid great losses. To this end, in this paper we propose a computer vision approach for fire-flame detection to be used by an early-warning fire monitoring system. Initially, candidate fire regions in a frame are defined using background subtraction and color analysis based on a nonparametric model. Subsequently, the fire behavior is modeled by employing various spatio-temporal features, such as color probability, flickering, spatial, and spatio-temporal energy, while dynamic texture analysis is applied in each candidate region using linear dynamical systems and a bag-of-systems approach. To increase the robustness of the algorithm, the spatio-temporal consistency energy of each candidate fire region is estimated by exploiting prior knowledge about the possible existence of fire in neighboring blocks from the current and previous video frames. As a final step, a two-class support vector machine classifier is used to classify the candidate regions. Experimental results have shown that the proposed method outperforms existing state-of-the-art algorithms.

Design of High-Rise Building’s Monitoring System for Electric Fire Base on CAN Bus

This paper accomplished a system of high-rise building’s fire monitoring system based on CAN bus. It is applied in avoiding the harm of leakage current , over current and short circuit, and protecting electric power distribution circuits and electrical equipment, thus to prevent the occurrence of electrical fire. The monitoring system can detect phase current signal and the leakage current signal, and can display real-time and alarm. It also can proceed network service and complete the distributed remote control and fault diagnosis. Practice shows that the system the characteristics of high precision, safe and reliable, low rate of false positives, easy operation and maintenance, etc .It can satisfy the demand of large high-rise building electrical fire.

Forest Fire Prevention Video Data Transmission System Design Based on Wireless Mesh Network

For forest fire prevention video monitoring data collection requirements,making video data collecting transmission system design based on wireless mesh network;including design standards and principles,design solutions and wireless network video monitoring system design;On the use of standards,working frequency,network infrastructure, coverage solutions,link budget,frequency planning, equipment power supply,supporting transmission and AC design describes the design proposal,proposed overall solution on wireless mesh network digital video system and applied to practical forest fire prevention wireless network video monitoring system,and achieved practical application of research results.

Study on College Apartment Fire Monitoring System Based on GSM

Specifically focusing on the electric safety of students, we proposed a College Apartment Fire Monitoring System using the combination of wireless communication network and environmental sensors. The system adopts GSM as the data carrier and STM32 as data processing chip, combines sensor detection module and power supply control module together, synthesizes the data information from each sensor module, estimates the possibility of catching fire and shuts off the electrical power in the breakdown region timely. At the same time, the system informs the control center and dormitory managing clerks to check in order to minimize the risk of catching fire. This system can monitor the factors of apartment fire, establishing a set of real-time college apartment fire monitoring system.