This paper presents a comparative analysis of the fire detection characteristics between conventional fire detector sensors and an Si-based color sensor. With the rapid industrial development in modern society, the concentration of urban populations and the expansion of building sizes have accelerated, leading to an increased frequency of large-scale fires. As a result, the importance of fire detection technologies has been emphasized. However, conventional detectors continue to experience issues such as false alarms and malfunctions. To address these challenges, a novel fire detection technology utilizing an Si-based color sensor, which is effective for fire detection, is proposed. To evaluate the fire detection performance of each sensor, a fire detection test apparatus was developed, and experiments were conducted separately under smoke and flame conditions to analyze the fire detection capabilities of the Si-based color sensor, temperature sensor, and flame detection sensor. The experimental results demonstrated that detection speed and sensor values varied depending on the type of combustible material. Specifically, in the smoke and flame tests, the Si-based color sensor detected fires 26.7 and 43.7 seconds faster than the temperature sensor, and 26.6 and 15.4 seconds faster than the flame detection sensor, respectively. Therefore, it was confirmed that the Si-based color sensor proposed in this study is an effective detection technology that is expected to provide improved performance compared to conventional fire detectors.
This paper is an experimental study on the improvement of smoke and flame detection from different materials with YOLO. For the study, images of fires occurring in various materials were collected through an open dataset, and experiments were conducted by changing the main factors affecting the performance of the fire object detection model, such as the bounding box, polygon, and data augmentation of the collected image open dataset during data preprocessing. To evaluate the model performance, we calculated the values of precision, recall, F1Score, mAP, and FPS for each condition, and compared the performance of each model based on these values. We also analyzed the changes in model performance due to the data preprocessing method to derive the conditions that have the greatest impact on improving the performance of the fire object detection model. The experimental results showed that for the fire object detection model using the YOLOv5s6.0 model, data augmentation that can change the color of the flame, such as saturation, brightness, and exposure, is most effective in improving the performance of the fire object detection model. The real-time fire object detection model developed in this study can be applied to equipment such as existing CCTV, and it is believed that it can contribute to minimizing fire damage by enabling early detection of fires occurring in various materials.
Lithium-ion batteries (LIBs) have become a main energy storage device in various applications, such as portable appliances, renewable energy facilities, and electric vehicles. However, the poor thermal stability of LIBs may cause explosion or fire. The thermal runaway is the result of a failure of the separator inside LIB. Damages like tearing, piercing, and collapsing of the separator were simulated in a mechanical, an electrical, and a thermal way, and small discharge pulses of a few mV were detected at the time of separator damages. From the experimental results, this paper provided a method that can identify the separator failure before thermal runaway in the aspect of a potential explosion and fire prevention measures.
Heating cables, widely used in office buildings, factories, streets and railways, deteriorate in electrical insulation during operation. The insulation deterioration of heating cables leads to electric discharges that can cause electrical fires. With this background, this paper dealt with a condition monitoring technique for heating cables by the analysis of discharge signals to prevent electrical fires. Insulation deterioration was simulated using an arc generator specified in UL1699 under AC operation, and the characteristic and propagation of discharge signals were analyzed on a 100 meter-long heating cable. Discharge signals produced by insulation deterioration were detected as a voltage pulse because they are as small as a few mV and they are attenuated through propagation path.The frequency spectrum of discharge signals mainly existed in the range from 70 kHz to 110 kHz, and the maximum attenuation of the signal was 84.8% at 100 meters away from the discharge point. Based on the experimental results, a monitoring device, which is composed of a high pass filter with the cut-off frequency of 70 kHz, a comparator, a wave shaper and a microprocessor, was designed and fabricated. Also, an algorithm was designed to discriminate the discharge signal in the presence of noise, compared with the pulse repetition period and the number of pulse counts per 100ms. In the experiment, the result showed that the prototype monitoring device could detect and discriminate the discharge signals produced at every discharge point on a heating cable.
Most series arcs lead to electrical fires that cannot be interrupted by circuit breakers, because the arc’s current is outside the breaker’s operating range. In this paper, experiments were conducted on the detection and identification of series arcs to prevent electrical fires. Plugs and outlets specified in KS C 8305 were deteriorated to replicate arc faults commonly found in fields. The characteristics of series arcs resulting from various types of loose connections were determined by analyzing the frequency spectra and phase distributions of detected arc pulses. The results showed that the simulated arc defects used in this study were more similar to actual arc phenomena than the existing arc generator specified in UL 1699. In addition, loose connections, such as wire-wire, terminal-wire, and outlet-plug, can be identified by phases of 0°, 180° and 360°, respectively. These phases can be detected by a band pass filter with a frequency range of 5~10 MHz, which can be used as the trip signal for circuit breakers.
With trend of the miniaturization and the high-functionalizing of mobile communication system, low-loss microwave dielectric materials are widely used for high frequency communication components. These dielectric materials should be co-sintered with highly electric-conducting metal such as silver or copper for high-frequency and thick film process application. Sintering temperature of Ca[(Li1/3Nb2/3)1-xTix]O3-δ, which has excellent dielectric properties such as εr above 40, quality factor (Q·f0) above 16,000 GHz, and TCF (temperature coefficient of resonant frequency) of -20~-10 ppm/℃, is reported as high as 1,175℃, so it could not be co-sintered with silver or copper. Therefore in this study, low-temperature melting glasses of Zn-B-O and Zn-B-Si-O systems were added to Ca[(Li1/3Nb2/3)1-xTix]O3-δ to lower its sintering temperature under 900℃ without losing excellency of dielectric properties. With 15 weight % of Zn-B-Si-O glass and sintered at 875℃, specimen showed density of 4.11 g/cm3,ε r of 40.1, Q·f0 of 4,869 GHz, and TCF of -5.9 ppm/℃. With 15 weight % of Zn-B-O glass and sintered at 87 5℃, specimen showed density of 4.14 g/cm3, εr of 40.4, Q·f0 of 7,059 GHz, and TCF of -0.92 ppm/℃.
In this paper, we have studied about the optimum fabrication condition of the printed Indium Tin Oxide (ITO) layers for the electrical resistance-type sensor application. We have investigated on the substrates surface treatments, mixing ratio of organic binder/ITO powder, and viscosity of the printing paste to determine the optimum condition of the screen printed ITO layer. Also, we found that the printing condition is closely related with the sensor performance. To know the feasibility of printed ITO layer as an electrical resistance-type sensor, we have fabricated the ITO sensors with a printed and sputtered ITO layers. The printed ITO films revealed 102 times higher sensitivity than the sputtered ITO layer. Also, the sputtered ITO layer exhibited an operating temperature of 127℃ at the operating voltage of 5 V. While, in case of the printed ITO layer showed the operating temperature of 27.6℃ in high operating voltage of 30 V. We found that the printed ITO layer is suitable for the various sensor applications.
A novel design of gas sensor using Ga-doped ZnO (GZO) thin films which are deposited on low temperature co-fired ceramic (LTCC) substrates is presented. The LTCC substrates with thickness of 400 μm are fabricated by laminating 12 green tapes which consist of alumina and glass particle in an organic binder. The GZO thin films with different thickness are deposited on LTCC substrates, by RF magnetron sputtering method. The microstructure and sensing properties of GZO gas sensing films are analyzed as a function of the film thickness. The films are well crystallized in the hexagonal (wurzite) structure with increasing thickness. The maximum sensitivity of 3.49 is obtained at 100 nm film thickness and the fastest 90% response time of 27.2 sec is obtained at 50 nm film thickness for the operating temperature of 400oC to the NO2 gas.
Forest fire can cause a serious damage to overhead conductors. Therefore, detailed investigation on the changes of mechanical and electrical properties of damaged conductors should be carried out to understand the effect of forest fires on conductors. This is of critical importance in maintaining transmission line safely. This paper examines the changes of mechanical and electrical properties of flame exposed conductor. Tensile strength (TS) decreased according to increase of forest fire temperature and conductivity changed according to forest fire temperature. Specimens were aluminum conductors of aluminium conductor steel reinforced (ACSR) 410, 240, 480 ㎟. In this paper, the electrical and mechanical characteristics of forest fires exposed overhead conductors depending on the diameter of aluminum conductors are presented. It was possible to estimate the degree of deterioration caused by forest fires. The detailed results are given in the paper.
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