Analysis of Characteristics of Fire Incident on 24 July 2021 in Jilin Province, China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Overview of Fire Event
2.2. Rescue
3. Analysis and Discussion
3.1. Analysis
- NFPA: NFPA75 [34] specifies the requirements related to construction, including the division of areas by building materials with strong fire resistance during construction, and the fire resistance rating and distribution of refractory materials. NFPA75 allows the development and use of documented fire risk analysis to determine the requirements, e.g., installation and use of automatic detection system. Most jurisdictions in the United States enforce these requirements. The minimum acceptable level of wall, ceiling, and floor finishes in full sprinkler and non-sprinkler equipment areas as defined in NFPA101 life safety code [37]. The existing fire detection and suppression systems are also required to be evaluated and tested as necessary to maintain compliance with applicable codes and standards.
- FMGlobal: FMGlobal’s philosophy is that most losses are preventable. Promote loss prevention through scientific knowledge. Engineering provides cost effective solutions to reduce risk. Among them, FMappoval4880 [35] specifies the level 1 fire performance requirements of building panel components or indoor finishing materials, with specific height installation requirements and flammability levels.
- Australian standards: AS1670 [36] has detailed provisions on the design, installation, and commissioning of fire detection, alarm, control, and intercom systems. In the specification AS2118, the automatic sprinkler system provides an important fire rating for the building structure by minimizing the possible impact of major structural fire [38]. When designing the sprinkler system, it is necessary to consider the interaction between the sprinkler system and other building fire safety systems to maximize protection and provide the best method for the overall goal of fire safety.
3.2. Weather Condition
3.3. Main Factors behind the Fire
- 1.
- Leakage
- (a).
- The insulation layer of the wire may be damaged by external forces. Leakage may occur when the damaged part of the wire makes contact with a conductive object [39].
- (b).
- The voltage may exceed the rated range. The insulating skin of the wire resembles the water pipe wall. It can withstand a certain rated voltage (generally marked on the wire surface). When the actual voltage exceeds the rated voltage, the insulating skin breaks down and the current slips away along the position where the breakdown occurred. Therefore, at the point of use, the actual voltage must be lower than the rated voltage of the wire.
- (c).
- Wire aging: a wire has a certain service life that depends on its quality and service environment. Generally, it may be used for 10–20 years. When the wire insulation is aged, its insulation strength gradually declines, and breaks down to a certain extent, resulting in leakage or short circuits.
- 2.
- Structural safety
- 3.
- Illegal construction
3.4. Perspective Managerial Measurement
- Strengthening equipment management: Electrical faults may be prevented by strengthening equipment management and prohibiting the installation of defective or low-quality equipment. After installing the electrical equipment, single equipment commissioning and joint commissioning tests must be conducted in turn. Finally, during project acceptance, the quality of the construction must be thoroughly inspected.
- Daily maintenance and regular overhaul: Proper daily maintenance of line equipment is essential. Dust and stains on the surface of equipment lines must be removed and equipment lines must be restored to their best operating state to prevent electrical faults and fire accidents.
- Strengthen the protection of key parts: To prevent the occurrence of common electrical faults, such as short circuits, electric leakage, overload operation, and poor contact, protective measures must be adopted for the key parts of the building electrical system. When the system malfunctions, the corresponding protective action is automatically executed to cut off the connection between the faulty part and the system or restore the normal operation of the equipment line.
- Fault simulation analysis and prevention: Consider that most electrical failures have a pattern, fault simulation analysis tests can be conducted in advance to simulate the operation status and process of the electrical system under different working conditions. Based on the simulation analysis results, the conditions for occurrence, causes, and specific effects of various electrical faults and building electrical fire accidents can be accurately determined. Furthermore, targeted preventive measures can be adopted and emergency accident response schemes can be formulated.
- Online equipment monitoring and automatic fault identification: According to the latest regulations of the power fire monitoring system, the functions of the monitoring equipment should meet the self-test function, operation level, fault alarm function, monitoring alarm function, muffler function, and reset function [45]. Online devices comply with relevant regulations and can automatically and effectively identify faults. For example, some electrical faults exhibit obvious characteristics in the early stages. There is a time difference between the formation of gas faults and the occurrence of electrical building fires. If an electrical fault is detected and resolved within the time period, the loss caused by the fault can be effectively controlled to avoid building fires.
- Building an early fire warning platform: An early fire warning platform based on the Internet of Things can be developed. Sensors may be arranged in the indoor and outdoor areas of the building to continuously monitor and collect information regarding the temperature, air humidity, and air composition. When the collected data reach the standard, early warning can be issued in time to avoid the occurrence or spread of fire.
- Improving technical specifications and management systems: It is necessary to regularly improve and supplement the relevant technical specifications of the electrical engineering, equipment operation, and maintenance management systems of the building to provide clear guidelines for activities, such as equipment installation, commissioning and operation, maintenance, fault diagnosis, and repair.
- Personnel management: Personnel are primarily responsible for conducting activities such as electrical equipment installation and electrical operation and maintenance. If the professional quality of the staff is low, or they lack safety awareness, new potential safety hazards will occur, and the probability of electrical fire accidents and electrical faults will increase.
- With the development of technology, artificial intelligence (AI) management and monitoring achieves active analysis and identification, reduces the labour cost of enterprises, and improves work efficiency. AI is used to develop theories, methods, technologies, and application systems for simulating, extending, and expanding human intelligence [46]. There are various AI technologies that can be used for management and monitoring, including deep learning neural networks [47], long-term and short-term memory (LSTM) [48] and deep learning- [49] enhanced neural networks with an alternative activation function tanhlu. Shen et al. (2022) used deep learning to develop remarkable innovations in shield machine energy consumption [50], ground settlement [51], shield tunnelling performance [52], moving trajectory [53], and safety risk assessment [54]. Shen et al. superimposed grid search and k-fold to predict geological characteristics according to shield operation and shield tunnelling time series prediction [55,56]. Shen et al. [57] predicted the grouting diameter, grouting differential evolution [58,59,60], controlled drainage, and built models using the Long Short Term Memory method to simulate the characteristics of soil. Elbaz et al. [49] combined a genetic algorithm with Group Method of Data Handling to predict tool life. Similarly, the application of artificial intelligence in power management will be more extensive. Zhao et al. [61] published a circuit fault diagnosis method based on deep learning algorithm. Chen et al. [62] also published a multi-agent particle swarm optimization algorithm for power system fault diagnosis. Artificial Intelligence technology for intelligent management is expected to be an important research topic in the future.
4. Concluding Remarks
- A devastating fire broke out in Li’s wedding dress city in Jilin Province, killing 15 people and wounding 25. The electric leakage in the upper part of the photo studio was caused by a combustible lighting line, and the electric leakage around the photo studio was caused by a combustible lighting line.
- Li Family Wedding Dream City illegally expanded the building area, built auxiliary buildings without authorization, and closed the fire truck channel. These illegal constructions affected the postdisaster firefighting, rescue and emergency evacuation. This illegal behaviour of construction indicated that the establishment of a more perfect safety management department and supervision system is necessary.
- Prevention is the key to electrical fire events. This study proposed some suggestions for preventing electrical fires. These include strengthening awareness on fire prevention and establishing fire prevention awareness, selecting qualified electrical facilities and increasing efficiency in fire supervision and management, applying advanced electrical technology to detect fire hazards in time, regularly checking and repairing electrical equipment, and installing various protective devices.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Date | Site | Casualties | References |
---|---|---|---|
15 December 2005 | Liaoyuan Country of Jilin Province | 37 deaths and 95 injuries | [7] |
20 September 2008 | Shenzhen County of Guangzhou Province | 44 deaths and 64 injuries | [8] |
5 February 2017 | Taizhou County of Zhejiang Province | 18 deaths and 18 injuries | [9] |
18 November 2017 | Beijing | 19 deaths and 8 injuries | [10] |
25 August 2018 | Haerbin County of Heilongjiang Province | 20 deaths and 23 injuries | [11] |
22 June 2020 | Shenzhen County of Guangzhou Province | 2 deaths | [12] |
25 September 2020 | Dongguan County of Guangzhou Province | 3 deaths | [13] |
1 October 2020 | Taiyuan County of Shanxi Province | 13 deaths and 15 injuries | [14] |
23 February 2021 | Shenzhen County of Guangzhou Province | 4 deaths | [15] |
25 February 2021 | Fuzhou County of Fujian Province | 6 deaths and 7 injuries | [16] |
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Xu, L.; Wang, Y.; Chen, J. Analysis of Characteristics of Fire Incident on 24 July 2021 in Jilin Province, China. Safety 2022, 8, 65. https://doi.org/10.3390/safety8030065
Xu L, Wang Y, Chen J. Analysis of Characteristics of Fire Incident on 24 July 2021 in Jilin Province, China. Safety. 2022; 8(3):65. https://doi.org/10.3390/safety8030065
Chicago/Turabian StyleXu, Liehao, Yanning Wang, and Jun Chen. 2022. "Analysis of Characteristics of Fire Incident on 24 July 2021 in Jilin Province, China" Safety 8, no. 3: 65. https://doi.org/10.3390/safety8030065
APA StyleXu, L., Wang, Y., & Chen, J. (2022). Analysis of Characteristics of Fire Incident on 24 July 2021 in Jilin Province, China. Safety, 8(3), 65. https://doi.org/10.3390/safety8030065