Personnel Safety Research Articles

Evaluating emergency response at a hospital near the Gaza border within 24 h of increased conflict

BackgroundFrontline hospitals near active hostilities face unique challenges in delivering emergency care amid threats to infrastructure and personnel safety. Existing literature focuses on individual aspects like mass casualty protocols or medical neutrality, with limited analysis of operating acute services directly under fire.ObjectivesTo describe the experience of a hospital situated meters from hostilities and analyze strategies implemented for triage, expanding surge capacity, and maintaining continuity of care during attacks with limited medical staff availability due to hazardous conditions. A focus will be placed on assessing how the hospital functioned and adapted care delivery models in the event of staffing limitations preventing all teams from arriving on site.MethodsA retrospective case study was conducted of patient records from Barzilai University Medical Center at Ashkelon (BUMCA) Medical Center in Israel within the first 24 h after escalated conflict began on October 7, 2023. Data on 232 admissions were analyzed regarding demographics, treatment protocols, time to disposition, and mortality. Missile alert data correlated patient surges to attacks. Statistical and geospatial analyses were performed.ResultsPatients predominantly male soldiers exhibited blast/multisystem trauma. Patient surges at the hospital were found to be correlated with the detection of incoming missile attacks from Gaza within 60 min of launch. While 131 (56%) patients were discharged and 55 (24%) transferred within 24 h, probabilities of survival declined over time reflecting injury severity limitations. 31 deaths occurred from severe presentation.ConclusionInsights gleaned provide a compelling case study on managing mass casualties at the true frontlines. By disseminating BUMCA's trauma response experience, strategies can strengthen frontline hospital protocols optimizing emergency care delivery during hazardous armed conflicts through dynamic surge capacity expansion, early intervention prioritization, and infrastructure/personnel protection measures informed by risks.

Analysis of the Advantages of Open Pit Mining

In the process of open-pit coal mining, the landslide phenomenon is very obvious, so for the safety of mine personnel and the smooth implementation of the project, studying the stability of the slope angle is an extremely important task. There are many factors that affect the stability of the slope, such as soil quality, climatic conditions, later pressure, etc., this project takes the open-pit mine as the research object, calculates the slope coefficient through geological data exploration combined with program analysis method, and then sets up a soil dump near the mining area, so as to improve efficiency, project safety and planning maximum benefits.

Research on Safe Wearable Target Detection Technology for Power Production Scenarios based on YOLOv5-C3CA

Aiming at the establishment of a new generation of substation auxiliary equipment detection platform intelligence, this study proposes a power production industry personnel safety wear detection technology based on improved Yolov5-C3CA to meet the demand. First, the network performance is improved by adding the CA attention mechanism module to Yolov5s network; moreover, the CA module is modified to C3CA module and added to the model for more effective addition of the attention mechanism; finally, the AFPN network structure is used to replace the original feature pyramid network structure, which further effectively improves the utilization efficiency of shallow and deep features. The experimental results show that the mean average accuracy of the designed network is improved by 3.9% to 93.1% compared with the original network, and other evaluation indexes are also improved. It can be seen that the model modification in this paper has improved the performance of the detection network, and the improved network meets the requirements of the new generation of substation auxiliary equipment detection platform, which has a positive effect on the safety and reliability of the power production industry.

Evacuation strategies for wrecked pedestrians considering emotional contagion and safety officers

Evacuation in shipwrecks remains challenging, and there is a gap in research related to the consideration of emotional changes in pedestrians and the role of safety personnel on passenger ships. The present strategy may be the first work in the dual-model (SIS model and social force model) related research to synthesize the pedestrian's multi-emotional changes and the safety officer's role and movement rules in the shipwreck scenario. We employed a multifactorial two-model approach to enhance the realism of evacuation outcomes during re-sinking scenarios, including pedestrian mood, safety officer, and ship tilt. Our findings reveal critical thresholds for emotion transmission, except for exit width and pedestrian density, where a few people transmitting emotions have minimal effects. Negative emotions beyond a certain threshold can disrupt evacuation and lead to casualties, while positive emotions contribute to smoother evacuations with fewer casualties. Furthermore, optimizing the safety officer's position and action strategy can alleviate the negative feelings of pedestrians and facilitate an orderly evacuation, positively affecting the evacuation outcome, especially in the case of a sinking ship with an increasingly severe angle of inclination. This study provides a valuable framework for improving evacuation safety and minimizing casualties during maritime emergencies.

Digital Ergonomics—The Reliability of the Human Factor and Its Impact on the Maintenance of Aircraft Brakes and Wheels

This paper presents the development and use of digital tools in the maintenance processes and ergonomics of work systems in the aerospace industry. The Industry 4.0 strategy aims to ensure the reliability of the human factor throughout the entire lifecycle of the maintenance process in the aerospace industry. Based on the requirement placed on the digital model of the working environment obtained from the 3D scanner data, an advanced software solution from TECNOMATIX, namely the TX JACK software 16.1.0 module, was used. The investigated digital ergonomic model, with two variants of workers with anthropometrically different weights, is the subject of analysis and simulation of the maintenance work process in an aerospace organization. Furthermore, the research also shows how the workers of maintenance and repair organizations are willing to develop their own knowledge and skills. The aviation industry should invest in the development of reliable software and hardware, improve safety at the level of digital ergonomics and the quality of jobs involving digitalization, and offer appropriate training for safety and quality personnel. The aim of this paper is to ensure the reliability of the human factor in the maintenance process and, consequently, to ensure technical safety by means of innovative tools in practice. The findings suggest that the investigated TESTER-STEND model with high-end adjustable pistons will improve ergonomics, worker performance, and work safety as a whole.

CFD-based AHP-TOPSIS decision-making model for gas explosion overpressure mitigation measures in underground utility tunnels

Gas explosion is a highly destructive form of disaster, and it seriously threatens the safety of structures and personnel. The reduction and mitigation measures of gas explosions have been extensively investigated, such as blast walls, safety gaps, and inert gases. Among these numerous measures, how to select the most economical, feasible, and effective measure to reduce the consequences of gas explosions is one of the most important problems faced by decision-makers. Therefore, a CFD-based analytic hierarchy process–Technique for Order Preference by Similarity to an Ideal Solution (AHP-TOPSIS) decision-making model was developed in this study. It combines the subjective experiences of decision-makers with the objective results of CFD numerical simulations, which makes the selected measure more reasonable and effective. The selection of mitigation measures for gas explosion overpressures in the UUT was taken as an example to verify the effectiveness of the proposed decision-making model. Three effective measures proposed in this study (i.e., yve = 10 m, D = 300 μm, yve = 10 m – D = 400 μm) were evaluated using the CFD software Flame Acceleration Simulator (FLACS) and used as target decision measures for the model. The results of the CFD-based AHP-TOPSIS decision-making model show that the measure of yve = 10 m – D = 400 μm is the most appropriate mitigation measure for gas explosion overpressures in the UUT under the evaluation index system, including feasibility, effectiveness, and economy. The results will support the selection of the appropriate overpressure mitigation measure of gas explosions and the blast-resistant design of UUTs.

NOx Emission Prediction of Diesel Vehicles in Deep Underground Mines Using Ensemble Methods

The mining industry faces persistent challenges related to hazardous gas emissions. Diesel engine-powered wheeled vehicles are commonly used during work shifts and are a primary source of nitrogen oxides (NOx) in underground mines. Despite diesel engine manufacturers providing gas generation data, mining companies need to predict NOx emissions from numerous load-haul-dumping (LHD) vehicles operating under dynamic conditions and not always equipped with gas sensors. This study focused on two ensemble methods: bootstrap aggregation (bagging) and least-square boosting (boosting) to predict NOx emissions. These approaches combine multiple weaker statistical models to yield a robust result. The innovation of this research is in the statistical analysis and selection of LHD vehicles’ working parameters, which are most suitable for NOx emission prediction; development of the procedure of source data cleaning and processing, model building and analyzing factors, which may influence the accuracy; and the comparison of two ensemble methods and showing their advantages and limitations for this specific engineering application, which was not previously reported in the literature. For datasets obtained from the same LHD vehicle and different operators, the more efficient bagging method gave a coefficient of determination R2 > 0.79 and the RMSE (root mean square error) was under 30 ppm, which is comparable with the measurement accuracy for transient regimes of physical NOx sensors available in the market. The obtained insights can be utilized as input for mine ventilation systems, enhancing mining transport management, reducing workplace air pollution, improving work planning, and enhancing personnel safety.

Assessing High-Voltage Shore Connection Safety: An In-Depth Study of Grounding Practices in Shore Power Systems

There is growing concern regarding air pollutants (NOx, SOx, and PM) and carbon emissions from ocean-going vessels in harbor areas and the role of high-voltage shore connection (HVSC) systems in mitigating these emissions during vessel berthing. The HVSC operates as a TN grounding system in humid environments, and it needs a proper grounding design to ensure safety when faults occur. This article intends to examine the overvoltage resulting from fault currents and its implications for the safety of operators when a single line-to-ground fault takes place within the design of HVSC grounding systems. The assessment is carried out by employing actual scenarios and parameters from a container berth at Kaohsiung Harbor in Taiwan. Considering site conditions, such as the wet ground surface, human body resistance, and electric shock duration, the tolerable safe voltage level is derived using IEEE Std. 80 and IEC 60479-1. Based on the shore power system grounding architecture specified in IEEE/IEC 80005-1, an equivalent circuit model is constructed to calculate the fault currents using symmetrical component analysis. The actual touch voltages generated in various locations are analyzed under scenarios of connecting or disconnecting the equipotential bonding between the ship and the shore using neutral grounding resistor (NGR) designs. This article delves into the scenarios of electric shock that may occur during the operation of an actual container ship’s shore power system. It evaluates whether various contact voltage values exceed current international standards and verifies the grounding design and safety voltage specifications of IEEE/IEC 80005-1. According to the results of this study, the use of NGR and protective earthed neutral (PEN) conductors in HVSC is crucial. This can limit fault currents, reduce touch voltage, and ensure the safety of personnel and equipment. Therefore, ensuring and monitoring equipment conductors and adopting NGRs of appropriate sizes are crucial elements in maintaining electrical safety in HVSC systems.

Occupational Health Challenges for Aviation Workers Amid the Changing Climate: A Narrative Review.

Although there are many forecasts regarding the impact of climate change on the aviation sector, a critical but frequently neglected dimension is the occupational safety risks faced by aviation professionals. This narrative review explores the potential impacts of the changing climate on the health and safety of aviation personnel. Furthermore, we examine the significance of resilience in helping these workers adapt and effectively manage climate-related challenges in their professional lives. Climate change poses increasing threats to the well-being of flight personnel through elevated temperatures, heightened ultraviolet radiation exposure, increased mental workload from extreme weather events, and other psychological stressors. Building resilience through workforce training, planning, and adaptation can reduce vulnerability. In future research, the iterative process of selecting measurement components to gauge the impact of climate change should balance feasibility, relevance for stakeholders, and accurately capturing exposure effects. For instance, while salivary cortisol measures stress biologically, assessments of depression or burnout may provide more nuanced insights on pilot health for industry decision-makers managing climate impacts. In conclusion, a strategic emphasis on enhancing the physical and psychological well-being of the aviation workforce is imperative for facilitating a more efficient adaptation within the sector. This is of paramount importance, considering the critical function that aviation serves in fostering human connectivity. Consequently, it is essential for regulatory bodies and policymakers to prioritize the safeguarding of employee health in the face of climate change challenges.

Theoretical and numerical study on ceiling temperature distribution of fire in the SRRT with curvature considering train blocking

The slopping rack railway tunnel (SRRT) with curvature is applied to pass through mountainous areas due to the terrain. And the temperature distribution under train blocking in the SRRT with curvature is significantly different when a fire occurs, posing a great threat to personnel safety. The train blocking and two curvature types of C-shaped and S-shaped are considered, and the mathematical expressions for temperature distribution with coefficients of slope and curvature are derived. The effects of slope, curvature, and train blocking on ceiling temperature are investigated using numerical simulation, and the applicability of the mathematical expressions is demonstrated through fitting. The results show that the mathematical expression for ceiling temperature distribution is a piecewise function with a stepped-down descent. The temperature attenuation is separated into three stages for C-shaped, and four stages for S-shaped. The coefficients are approximately linear with slope and curvature radius respectively. The train blocking on the ceiling maximum temperature for C-shaped is of a stronger effect than for S-shaped, and the slope on the temperature at the train tail for C-shaped is of a weaker effect than for S-shaped.

Cross-physical field prediction method for smoke field distribution in commercial building fire based on distributed optical fiber sensor

In modern commercial building spaces, the smoke generated during indoor fires poses a substantial safety threat to individuals attempting to evacuate. This study leveraged a distributed optical fiber temperature sensing system as the technological foundation. A series of commercial building space models were constructed by employing fire dynamics simulations, and a comprehensive database of simulated fire field information was established. The study built upon this database and proposed a method to establish influence pathways from existing temperature field detection data to three fire risk assessment parameters: carbon dioxide, oxygen, and visibility. The study utilized various machine learning algorithms and focused on selecting and constructing cross-physical field prediction models that optimized the performance of fire risk assessment parameters at the fire key plane. The findings demonstrated that the Multilayer Perceptron (MLP) algorithm model yielded the most accurate fit for carbon dioxide volume fraction, with a Mean Absolute Percentage Error (MAPE) of 3.80% between the model predictions and actual values. The Artificial Neural Network (ANN) algorithm showed superior fitting effects for oxygen volume fraction and visibility, with MAPEs of 1.37% and 3.10%, respectively. Furthermore, the study validated the generalizability of these optimal models by altering spatial scales, revealing robust performance. This study utilized a single optical fiber sensor to achieve dynamic prediction across different physical fields during fire incidents, expanding the application scope of optical fiber sensors in monitoring gas and visibility fields in commercial building fires. This not only enhanced the level of fire monitoring but also effectively reduce equipment costs. It provided effective data support for planning evacuation routes for individuals and rescue arrangements for firefighters, further ensuring personnel safety.

Fitness-for-Service assessment of a Hydrogen-Induced crack in an inlet gas separator pressure vessel using computational modelling

Hydrogen-induced cracking is the cracking of carbon steel or low-alloy steel in a wet H2S environment, driven by the diffusion of hydrogen atoms into the steel due to corrosion reaction. The formation of blisters and hydrogen-induced cracks in pressurized components in the oil and gas or petrochemical industries imposes a serious risk to personnel safety and production continuity. In this study, a fitness-for-service assessment of a gas separator pressure vessel containing 3.76 % H2S and 3.47 % CO2 was analyzed using finite element analysis as required by level III assessment in API 579–1/ASME FFS-1 2021. Different load scenarios, including internal pressure, static head from liquid, dead weight, and wind loads, were considered using elastic-perfectly plastic stress analysis. The hydrogen-induced affected area, with dimensions of 2650 mm × 900 mm, was shown to sustain an internal pressure of 14.8 MPa, which is above 1.35 times the design pressure (i.e., 12.1 MPa). The assessment of API 579–1/ASME FFS-1 in level I and II failed due to the presence of a hydrogen-induced crack near the weldment. However, the evaluation in level III assessment considered the influence of residual welding stresses on both longitudinal and circumferential cracks in their as-welded state. The findings indicated that the affected area fell within the acceptable region of the failure assessment diagram, thereby confirming the continued safe operation of the HIC damaged pressure vessel while accounting for welding residual stresses.

Experience Sharing in Participating in the Environmental Safety Consultation Program—Tainan Hospital, Ministry of Health and Welfare

<p>本文分享財團法人醫院評鑑暨醫療品質策進會推動「環境安全諮詢計畫」，由兩位國內專家輔導委員及一位國外ACHSI輔導委員以緊急應變計畫、建築與設備、管理機制三大方面進入輔導過程，本文大致分享以國內醫療機構面臨機構建築設備老舊維護困難，在既有建築物空間規劃設計上，防災及疏散因應措施相較薄弱，如何以合宜的因應措施及編列合理改善預算，提升環境安全及災害應變能力，保障人員安全與健康，維持醫療正常營運及財產損害控管。</p> <p> </p><p>This manuscript shares the experience of participating in the “Environmental Safety Consultation Program” promoted by the Joint Commission of Taiwan. The program was guided by two domestic expert advisors and one international advisor from the Australian Council on Healthcare Standards International, focusing on three major aspects: emergency response plans, architecture and facilities, and management mechanisms. This manuscript broadly discusses how healthcare institutions in Taiwan, facing challenges with the maintenance of outdated buildings and facilities, and weak disaster prevention and evacuation measures due to existing architectural and spatial planning, can implement suitable response measures and allocate reasonable budgets for improvements. The goals are to enhance environmental safety and disaster response capabilities, ensure the safety and health of personnel, maintain normal medical operations, and manage property damage.</p> <p> </p>

Application of indoor and outdoor integrated collaborative positioning technology in power transportation detection

With the continuous acceleration of the construction of electric power Internet of Things, the structure and scale of electric power system is more massive, the complexity and danger coefficient of field operation is enhanced, and the risk of causing safety accidents is further increased. Therefore, based on wireless sensor network, collecting and transmitting information of personnel and site operation environment, establishing power operation tracking system is of great significance to improve the safety and efficiency of operation and inspection personnel. At present, most of the electric power operation and maintenance personnel are positioned by satellite or wireless WIFI, which has a large error or even cannot be positioned, so this paper proposes a 5G+Beidou fusion indoor-outdoor cooperative positioning technology for electric power operation and inspection service. The fusion model of Beidou carrier phase differential positioning and 5G cellular network positioning is established by using the improved Federal Kalman filter algorithm, which can avoid data pollution caused by Beidou receiver failure or 5G communication module failure in a complex environment, and avoid the inability to locate compared with the common Federal Kalman filter. phenomenon.

Medication Adherence of School Personnel in Public Secondary Schools of Tigaon District, Philippines

This study used the descriptive-correlational research method to determine the medication adherence of school personnel of select public schools in Tigaon, Camarines Sur. The respondents include 213 school personnel from public secondary schools of Tigaon, Camarines Sur. The data collected were classified and tabulated systematically and statistically treated using various statistical tools. The study concluded that most of the school personnel who participated in this study were 46 years old and above. The majority were female college graduates with a gross income of 22,000 to 44,000 pesos, assigned as classroom teachers, with no known illness or comorbidities, and had outpatient consultation more than 12 months ago; majority of the respondents were adherent to their medications; socio-economic factors, healthcare team and system-related factors, therapy-related factors, and patient-related factors are significant barriers to medication adherence; and there is significant relationship between medication adherence and sex, educational level, gross income per month, illness or comorbidities, and date of last outpatient consultation. Primary actions include strengthening health education that fosters a positive attitude towards medication adherence, additional resources for medicine supplies in schools and training for healthcare workers, improving the implementation of Gulayan sa Paaralan, and exploring options to simplify treatment regimens and affordable medications. With these, the researcher proposed measures and recommendations that school administrators and public school nurses can adopt to improve the health and safety of school personnel.

Research on Steel Cage Hoisting Equipment in Electric Power Construction

In the process of electric power construction, the form of bored pile bottom foundation is widely used. However, if the method of segmental lifting of steel cage is adopted, it will bring a series of problems. First of all, the combination welding of the two main bars will become very difficult, and its welding strength is difficult to be guaranteed. Second, the welding process takes too long, which may lead to an increased risk of hole collapse. These problems will not only affect the efficiency and quality of power construction, but also threaten the safety of construction personnel. Therefore, in order to solve these problems, it is very important to improve the safety and reliability of the overall lifting process of the steel cage. This paper will introduce the research on the whole lifting of steel cage in power construction in detail, in order to provide useful reference for related projects and help the steady development of national power industry.

Информационные методы идентификации трудноуправляемых факторов, влияющих на аварийное загазирование горных выработок шахт

The article is dedicated to the crucial problem of occupational safety for personnel at work and the hazardous operation of coalmines due to gas explosions. Natural, technogenic, natural & technogenic, as well as geomechanic factors causing methane accumulation in excavations and following emergency explosions have been described. These factors are classified as so-called difficult-to-control as they cannot be under control during workflows and cannot be managed by means and methods of mining production. The task of elaborating on methods of their identification has been set as the determination of signs (parameters) of emergencies serving as a source of information. The practical result of identification is the prevention of a combination of conditions and circumstances under which an accident occurs, considering the interaction with factors under control. The information about the signs of emergency in mines is inherently weak and complex. Due to the nature of physical phenomena always accompanied by noise, the numerical values of signs of emergency are random. Therefore, the description and identification of abrupt changes in difficult-to-control factors considered emergency have been performed by using entropy-probabilistic concepts and characteristics. It has been shown that the information methods of identification are based on well-known principles of the general theory of informational optimization of systems aimed at minimizing the uncertainty of solving the identification problem. The comparative analysis of the existing theoretical methods to find the optimal identification strategy has shown that with the reduction of the volume of signs specific for an emergency or their low information content as well due to noise, D-information strategies are the only possible ones. One of such strategies is based on the Shannon-Fano statistical code, whereas the other is based on the method of informational dichotomy. Testing these strategies has demonstrated their technical applicability.

Antimicrobial stewardship hindered by inadequate biosecurity and biosafety practices, and inappropriate antibiotics usage in poultry farms of Nepal-A pilot study.

Nepal's poultry industry has experienced remarkable growth in the last decade, but farm biosafety and biosecurity measures are often overlooked by farmers. As a result, farms often suffer from sporadic and regular outbreaks of many diseases, impacting production and creating public health challenges. Poor management practices, including overuse of antibiotics for prophylaxis and therapeutics, can enhance the spread of poultry diseases by propagating antimicrobial resistance (AMR) that is threatening poultry and human health. We assessed biosafety, biosecurity risks and AMR stewardship in sixteen poultry farms located in four districts: Ramechhap, Nuwakot, Sindhupalchowk, and Kavre. Risk assessment and AMR stewardship evaluation questionnaires were administered to formulate biosafety and biosecurity compliance matrix (BBCM). Risk assessment checklist assessed facility operations, personnel and standard operating procedures, water supply, cleaning and maintenance, rodent/pest control and record keeping. Oral and cloacal samples from the poultry were collected, pooled, and screened for eight poultry pathogens using Polymerase Chain Reaction (PCR) tests. Based on BBCM, we identified the highest BBCM score of 67% obtained by Sindhupalchowk farm 4 and the lowest of 12% by Kavre farm 3. Most of the farms (61.6%) followed general poultry farming practices, only half had clean and well-maintained farms. Lowest scores were obtained for personnel safety standard (42.4%) and rodent control (3.1%). At least one of the screened pathogens were detected in all farms. Mycoplasma gallisepticum was the most common pathogen detected in all but three farms, followed by Mycoplasma synoviae. More than half of the farmers considered AMR a threat, over 26% of them used antibiotics as a preventive measure and 81% did not consider withdrawal period for antibiotics prior to processing of their meat products. Additionally, antibiotics classified as "Watch" and "Restrict" by the WHO were frequently used by the farmers to treat bacterial infections in their farms.

Clinical laboratory strategies for managing pandemic outbreaks

This review article comprehensively examines clinical laboratory strategies for managing pandemic outbreaks, with a particular focus on lessons learned from the COVID-19 pandemic. Drawing upon an extensive analysis of existing literature from databases such as PubMed, Web of Science, and Cochrane, as well as manual searches on Google Scholar, the study aims to provide insights into key aspects of pandemic preparedness and response. The literature review encompasses diverse combinations of medical terminology, emphasizing the role and response of clinical laboratories during pandemics. The primary focus areas include rapid test development and deployment, increased testing capacity, sample collection, and transportation protocols, data management, personnel safety, resource allocation, adaptability, and quality control measures. The inclusion of articles in this study adheres to rigorous criteria, ensuring a thorough and robust review process. The findings highlight the critical importance of rapid and accurate diagnostic testing, especially in the early stages of a pandemic, to facilitate timely interventions and containment. Efficient sample collection and transportation systems are crucial for maintaining the integrity of specimens, while advanced data management and reporting systems contribute to informed decision-making. Adaptability and flexibility are identified as indispensable traits for navigating the dynamic challenges of a pandemic, and stringent quality control measures are foundational for upholding the accuracy of diagnostic testing. The review underscores the collaborative efforts needed among clinical laboratories, public health agencies, and research institutions to strengthen global pandemic preparedness and response strategies.

A low-light image enhancement method for personnel safety monitoring in underground coal mines

Intelligent monitoring technology plays an important role in promoting the development of coal mine safety management. Low illumination in the coal mine underground leads to difficult recognition of monitoring images and poor personnel detection accuracy. To alleviate this problem, a low illuminance image enhancement method proposed for personnel safety monitoring in underground coal mines. Specifically, the local enhancement module maps low illumination to normal illumination at pixel level preserving image details as much as possible. The transformer-based global adjustment module is applied to the locally enhanced images to avoid over-enhancement of bright areas and under-illumination of dark areas, and to prevent possible color deviations in the enhancement process. In addition, a feature similarity loss is proposed to constrain the similarity of target features to avoid the possible detrimental effect of enhancement on detection. Experimental results show that the proposed method improves the detection accuracy by 7.1% on the coal mine underground personal dataset, obtaining the highest accuracy compared to several other methods. The proposed method effectively improves the visualization and detection performance of low-light images, which contributes to the personnel safety monitoring in underground coal mines.