Accident Prevention System Research Articles

Implementation of Bridge Strength Detection and Accident Prevention System using Raspberry pi

In today’ sera, there is a huge adv an cement in the field of sensors and computing systems which make real- time monitoring of Bridges much easier and cheaper. There is a need for real-time bridge strength monitoring to avoid crisis scenarios. Currently available systems use a much more complicated wired network, sensors, and controller, this results in a high cost of installation resulting in an in crease in the cost of a bridge. The wired network increases complexity which makes it complicated to install .This paper proposes the use of Raspberry pi which has a longer life span which reduces complications in-network and uses advanced sensors.

ARDUINO based accident prevention and auto intimation system

<p>Often modern cars have a collision avoidance system built into them known as Pre-Crash System, or Collision Mitigation System in order to reduce the collision. But majority of vehicles on the road, especially heavy motor vehicles lack in such a system. In this paper, the implementation of the Collision Avoidance System is to reduce the risks of collisions at the hairpin bend on a Hilly track, Ghats, or other Zero visibility turns. The proposed system contains a set of IR sensors, LEDs, etc. It uses four IR sensors, which are placed on either side of the hairpin bend. The sensors are mutually exclusive and are connected to LEDs through wires. Based on the output of sensors, the LEDs will glow and start alerting the other vehicle approaching from the other end, Hence the drivers will decrease their speeds which would help in preventing collision. The LEDs will help the drivers in detecting the position of the vehicles on either side of the bend. During climatic conditions like fog, snow, etc, the visibility of the drivers would decrease due to which they will not be able to see the LEDs, Hence, a collision may take place. To bring help as soon as possible to the injured, we have also made a proposed system which would alert the nearby hospitals that an accident has taken place. We have used Arduino UNO, GSM sim module and these will be kept inside a black box which will be inside the, car safe from breakage during the accident.<strong></strong></p>

Feasibility Evaluation of Designated Quantities for Chemicals Requiring Preparation for Accidents in the Korean Chemical Accident Prevention System.

To prevent chemical accidents, the United States (US), the European Union (EU), and the Republic of Korea operate legal systems, such as risk management plans (RMP) and process safety management (PSM), to prevent chemical accidents inside and outside the workplace. The duty to implement chemical accident prevention systems and the criteria for being a target workplace are dependent on the designated quantities of chemicals handled. A chemical accident prevention system is obligatory for storage and handling of legally declared chemicals in the workplace. Benzene, toluene, xylene, methyl ethyl ketone, and ethyl acetate are all flammable materials that are commonly used as solvents in the chemical industry. These substances are grouped into flammable substances groups in the US and the EU, and are managed with the same designated quantities. However, in Korea, the designated quantities are: benzene, 10,000 kg; toluene, xylene, and methyl ethyl ketone, 200,000 kg; and ethyl acetate, 20,000 kg. In order to evaluate the validity of the chemical quantities, fire explosion scenarios during chemical accidents were modeled using two modeling programs, Areal Location of Hazardous Atmosphere (ALOHA) and Korea Off-Site Risk Assessment Supporting Tool (KORA) software, under the same conditions. Similar damage radii were found for the five flammable materials with both pool fires and vapor cloud explosions (VCE). Based on these damage radii, the designated quantities of five substances were calculated and included in the range (10,000 to 13,500 kg). The results show that current designated quantities underestimate chemical substances, and for the prevention of accidents and post-management after chemical accidents, it is necessary to manage flammable substances under one grouping.

Priority Based an Accident Prevention System Using V2V Communication

Priority Based an Accident Prevention System Using V2V Communication

Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network.

Human factors are widely regarded to be highly contributing factors to maritime accident prevention system failures. The conventional methods for human factor assessment, especially quantitative techniques, such as fault trees and bow-ties, are static and cannot deal with models with uncertainty, which limits their application to human factors risk analysis. To alleviate these drawbacks, in the present study, a new human factor analysis framework called multidimensional analysis model of accident causes (MAMAC) is introduced. MAMAC combines the human factors analysis and classification system and business process management. In addition, intuitionistic fuzzy set theory and Bayesian Network are integrated into MAMAC to form a comprehensive dynamic human factors analysis model characterized by flexibility and uncertainty handling. The proposed model is tested on maritime accident scenarios from a sand carrier accident database in China to investigate the human factors involved, and the top 10 most highly contributing primary events associated with the human factors leading to sand carrier accidents are identified. According to the results of this study, direct human factors, classified as unsafe acts, are not a focus for maritime investigators and scholars. Meanwhile, unsafe preconditions and unsafe supervision are listed as the top two considerations for human factors analysis, especially for supervision failures of shipping companies and ship owners. Moreover, potential safety countermeasures for the most highly contributing human factors are proposed in this article. Finally, an application of the proposed model verifies its advantages in calculating the failure probability of accidents induced by human factors.

Hazardous Chemical Accident Prevention Based on K-Means Clustering Analysis of Incident Information

Hazardous chemicals are inflammable, explosive, and/or toxic and are prone to accidental leakage, fire, and explosion during production, storage, and transportation. It is time-consuming and laborious to study the properties of hazardous chemicals individually for systematic accident prevention because of the wide variety of hazardous chemicals and conditions resulting in accidents. Moreover, accidents have numerous causes, and the relationships among the causative factors are complex. It is a problem that is difficult to accurately identify the effects of correlations among accident factors and determine the laws governing accident occurrence. In this paper, we propose a generic method of hazardous chemical accident prevention based on K-means clustering analysis of incident information to illustrate how to solve the problems. A database of hazardous chemical incidents was constructed, and a K-means clustering algorithm was adopted to classify the incidents. The numbers of occurrences and frequencies of the words in the textual descriptions of the consequences, processes, and causes of hazardous chemical incidents were counted and calculated using a class-based method. For words with a high frequency, risk scenarios were constructed, checklist items of newly revealed dangers were developed, and a system for systematic risk assessment and accident prevention was established. Finally, the information on hazardous material transportation incidents in the Pipeline and Hazardous Materials Safety Administration database of the U.S. Department of Transportation from 2009 to 2018 had been taken as an example to illustrate the method application. The results demonstrate that the proposed method of hazardous chemical accident prevention can be used to improve accident classification. The classification results make it possible to determine the optimal sequence of key targets on which to focus and the requirements for accident prevention and formulate preventive measures. Thus, they provide a technical basis for accident prevention.

“Accident prevention and detection system by vehicle monitoring”

“Accident prevention and detection system by vehicle monitoring”

Accident Prevention and Traffic Pattern Analysis System for Hilly Regions

In hilly regions, there will be a number of curves and hairpin bends. The roadway is one of the often-used modes of transport in these regions. Accident rate and death rate in hilly regions are increasing day by day. The roads in this region will definitely have bends and steep curves; hence, it is difficult to see the vehicles coming from the opposite side. The proposed system aims in reducing the risk of driving vehicle in the terrain region with hairpin bends and steep curves. The deployed controller with ultrasonic sensor senses the vehicle coming towards the bend and intimates it to the other side of the bend or curve; it gives three stages of LED alerts to the driver driving the vehicle from the opposite side of the hairpin bend or curve. It also senses the speed of the vehicle, if the vehicle speed is high, it will alert the drivers through the buzzer. These alerts will indirectly convey the drivers to slow down the speed of the vehicle. The foremost focus of the proposed system is to prevent accidents for the drivers and passengers in order to decrease the death rates in hilly regions. This system also provides a way for analyzing the number of uphill and downhill vehicles in the hill stations by storing the data in the cloud. The analyzed data is be viewed over the internet through a web application. The web application serves as a traffic pattern analyzer for people who wish to travel by that road.

Design of a Prototype of Accident Prevention System for Industrial Vehicles Using Radio Frequency Identification Technology

Given the inherent need to have technological tools to reduce the number of incidents caused by the operation of heavy machinery, this document briefly describes the design of a prototype Accident Prevention System for industrial vehicles using Radio Frequency Identification Technology (RFID). ) that warns about the proximity of people to the area of operation of industrial equipment, the deployment of Open Source technology provides the necessary resources for a Raspberry Pi 3 B + control device to execute information processing through a control interface that will activate an alarm and through a management module the RFID components (TAGS and Readers) will be managed and the reports of the readings will be obtained. Finally, considering factors such as frequency, the operating environment, the type of modulation, the antenna height, the radiation pattern of the antenna, the antenna gain and the receiver gain influence the propagation of the waves radio will perform a predictive investigation in different scenarios by means of an estimation of the coverage based on the model of propagation of loss in free space to verify the reliability of the prototype that operates with Ultra Narrow Band technology and employs techniques of Spread Spectrum by Jump Frequency.

Study on Analysis of Fire Factor and Development Direction of Standard/safety Requirement to Keep Safety for Energy Storage System (ESS)

본 연구에서는 에너지저장장치(ESS)의 안전성 확보를 위하여 화재 및 고장의 원인에 대한 취약점을 분석하였다. 2017년 8월부터 2019년 5월까지 총 23건의 ESS 화재가 발생하였으며, 리튬이온 이차전지는 화재발생시 ‘열폭주’에 의하여 반응이 종료될 때까지 화재진압이 불가능함에 따라 현재까지는 사전예방이 최선의 방안이다. 따라서 본 연구를 통해 ESS 화재예방을 위한 운영에 악영향을 미치는 변수를 추론하고 검증하여 취약점을 파악하였으며, 이를 통한 표준 및 안전기준 개발방향에 대해 연구하였다. 본 연구의 결과를 정리하면 다음과 같다. 첫째, 배터리 보호시스템 미흡으로 전기적 위해 요인인 지락․단락에 의한 전기충격으로 보호장치 내에 버스바(Bus bar)와 배터리 보호장치의 외함에서 2차 단락 사고가 발생하는 경우와 둘째, 산지 및 해안가에 설치된 ESS가 큰 일교차로 인한 결로와 다량의 먼지 등에 노출되기 쉬운 열악한 환경에서 운영되면서 관리 미흡에 의한 셀과 모듈 외함 간 접지부분에서 절연이 파괴되는 경우, 셋째, 배터리 보관불량, 오결선 등 ESS 설치 부주의시에 화재가 발생할 수 있음을 확인하였다. 마지막으로 통합보호․관리체계 부재로 인해 각 ESS 구성품 제작사가 서로 다른 Energy Management System(EMS), Power Management System(PMS), Battery Management System(BMS)를 적용함으로써, 바람직한 SI업체 주도로 유기적인 운영이 되지 못하는 등 ESS가 하나의 통합된 시스템으로 설계․보호되지 못했던 점이 사고 요인으로 파악되었다. ESS 화재예방 및 안전을 위한 표준이 국제적으로 개발 중에 있으며, 이 표준과 부합하여 국내 ESS 시장에도 강화된 안전기준을 적용할 수 있도록 하고, 이를 검증하기 위한 시험평가 및 실증 기반을 구축할 필요가 있다. 그리고 배터리, PCS, BMS 등 각 구성요소들이 유기적으로 연계되어 최적화된 성능을 발휘하며 화재사고 예방용 통합관제 시스템 등에 대한 표준화가 필요할 것으로 사료된다.In this study, it analyzed weakness of fire and failure to secure energy storage system (ESS). From August 2017 to May 2019, ESS fire occurred 23 times. Due to the characteristic of lithium ion batteries, the fire can not be suppressed until total destruction by fire. The best way is to prevent fire, it is removed the weakness factor. Therefore, this study investigated the development direction of standards and safety standards through inference an d verification of the variables that adversely affect the operation of ESS. The results of this study are summarized as follows. Firstly, in the event of a second short circuit accident in the enclosure of the bus bar and battery protection device, and electrical shock is caused by in the insufficient battery protection system. Secondly, it is confirmed that fire may occur when the insulation is broken at the grounding part between the cell and the module enclosure, because of insufficient management, insufficient operation and to expose to a large amount of dust. Lastly, there is the lack of integrated protection and management system, each ESS component manufacturer applied different EMS, PMS, BMS, which prevented the ESS from being designed and protected as one integrated system. It was identified as an accident factor. Standards for ESS fire prevention and safety are being developed internationally. In line with this standard, it is necessary to apply the enhanced safety standards to the domestic ESS market, and to establish a test evaluation and demonstration to verify them. In addition, the components such as battery, PCS, BMS, etc. are to achieve optimized performance and standardization of integrated control system for fire accident prevention is necessary.

An Analysis of Accident Prevention System in Parking Environment

This inspiration is about a brand new sensor generation which will be used as a parking shield. The sensor will assist in averting accidents while parking an car. It is also observed that due to the manual brake system in car, chance of coincidence is excessive for the duration of parking. when the brake is implemented, it takes time to stop the car. So, as opposed to the manual brake gadget a sensor will be placed in it and an car will prevent right away. The sensor brake system will work at a quicker rate whilst compared to the guide brake system, hence proving to be a terrific guard for cars.

Conceptual Design of an Accident Prevention System for Light Water Reactors Using Artificial Neural Network and High-Speed Simulator

Eight years after the Fukushima accident, the last missing pieces of the jigsaw puzzle for light water reactor (LWR) safety have been put together. In the United States, the nuclear power industry has implemented diverse and flexible strategies to prevent and mitigate severe accidents. In this technical note, the author presents a conceptual design of an online accident prevention system (APS). The proposed concept takes advantage of the fact that the progression of a severe accident caused by an unplanned evolution of the fission dynamics in LWRs, which may be due to mechanical failures, human errors, or external events, progresses significantly slower than events in many other industries, such as chemical explosions or transportation accidents. The APS will make rapid diagnostics of any ongoing event by artificial intelligence and subsequently make immediate predictions using a high-speed simulation code. Should the severe accident lead to core degradation or off-site release, the operators will use all available means including diverse and flexible coping strategies (known as FLEX) to prevent it from happening. Full development and implementation of this APS will greatly enhance nuclear safety in the fight against global warming.

Design and development of a novel knowledge-based decision support system for industrial safety management at drilling process

Purpose Annually, hundreds of drilling crew suffer from major injuries during performing oil and gas drilling operation because of the deficiency of an adequate hazard safety management system for real-time decision-making in hazardous conditions. According to previous studies, there is a sheer industrial need for an effective industrial safety management decision support system for accident prevention at oil and gas drilling sites at both drilling domains. Therefore, this paper aims to focus on the design and development of knowledge base decision support system (KBDSS) for the prevention of hazardous activities at Middle Eastern and South Asian origins’ onshore and offshore oil and gas industries during drilling operations. Design/methodology/approach In this study, data were gathered from safety and health professionals from targeted oil and gas industries in Malaysia, Saudi Arabia and Pakistan through quantitative and qualitative approaches. Based on identified data, KBDSSs (HAZFO Expert 1.0) were systematically developed and designed by adopting Database Development Life Cycle and Waterfall Software Development Life Cycle models. MySQL and Visual Studio 2015 software were used for developing and designing knowledge base and graphical user interface of the system. Findings KBDSS (HAZFO Expert 1.0) for accident prevention at onshore and offshore oil and gas drilling industries based on identified potential hazards and their suitable controlling measures aligned with international safety standards and regulations. HAZFO Expert 1.0 is a novel KBDSS that covers all onshore and offshore drilling operations with three and nine outputs, respectively, to achieve the current trend of Industry Revolution 4.0 and Industrial IoTs for workforce safety. Practical implications This industrial safety management system (HAZFO Expert 1.0) will be efficiently used for the identification and elimination of potential hazards associated with drilling activities at onshore and offshore drilling sites with an appropriate hazard controlling strategy. Originality/value Moreover, the developed KBDS system is unique in terms of its architecture and is dynamic in nature because it provides HAZFO Expert 1.0 data management and insertion application for authorized users. This is the first KBDSS which covers both drilling domains in Malaysian, Saudi Arabian and Pakistani industries.

Application of a Design and Construction Method Based on a Study of User Needs in the Prevention of Accidents Involving Operators of Demolition Robots

The paper presents a new method of design and construction aimed at developing a system that helps to prevent accidents involving demolition robot operators. The method is based on a study of user needs and was developed in accordance with Design Thinking methodology. This study provides a theoretical review of designing processes and methodologies, including conceptual design, and explores the implementation of the proposed method in the designing process for a Human–Machine Interface (HMI) accident prevention system. An in-depth study of user needs combined with an analysis of the operational system, both of which followed the stages in the proposed method, as well as with experimental tests on a small remote control demolition robot, inspired the development of an operator-controlled HMI system. The theoretical review concerns non-haptic feedback devices, which can be implemented in the demolition robot remote control or in operator safety equipment. Experimental research helped to determine the data necessary to develop an HMI system that continuously uses information from sensors installed on the machine. The paper also addresses issues related to the implementation of the HMI interface in order to avoid failures resulting from robot misuse and to protect the operator from any hazards caused by potential accidents. This paper emphasizes the importance of the connection between man and machine to overcome the lack of direct information flow in the case of mechanical operation.

Accident Prevention and Detection System Using Image Processing and IoT

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.

Industrial Accident Prevention and Hybrid Pollution Control System

Industrial Accident Prevention and Hybrid Pollution Control System

Smart Signal Control System for Accident Prevention and Arterial Speed Harmonization under Connected Vehicle Environment

The intent of this paper is to develop a system that can integrate connected vehicle (CV) data and traffic sensor information to concurrently address the need to improve urban arterial safety and mobility. Under the mixed traffic pattern of CVs and human-driven vehicles (HVs), the system aims to achieve three primary objectives: proactively preventing rear-end collision, reactively protecting side-street traffic from red-light-running vehicles, and effectively facilitating speed harmonization along local arterials. The embedded safety function will integrate CV and roadside sensor data to compute the distribution of dilemma zones for vehicles of different approaching speeds in real-time. Such data fusion will enable the proposed system to offer the advice of either “stop” or “go” to both CVs and HVs so as to prevent rear-end collisions and side-angled crashes. Given the locations and speeds of CVs, and the number of vehicles monitored by sensors, the proposed system can further compute the time-varying intersection queue length. Then the embedded mobility function will optimize the arterial signal plan in real-time and produce the speed advisory for approaching vehicles to facilitate their progression through intersections. Results from extensive simulation experiments confirm the effectiveness of the proposed system in both reducing potential intersection crash rates and improving arterial progression efficiency. The proposed control framework also proves the effectiveness of using dilemma zone protection sensors for traffic mobility improvement.

Model for improving the reliability of safety systems in the technological processing of hazardous industries

The problem of safety provisioning in technological processes, which aims the reducing the probability of accidents is considered. Classification of technological process states from the point of view of accident prevention system is offered. The set of such states consists of: normal functioning, pre-emergency, emergency and accident. The state of normal functioning and pre-emergency state assume the absence of irreversible changes in the technological processes. It is considered the case when the operator has to form some management actions which are aimed to stabilize the process, when the process is in the pre-accident state. It is shown an example of a data flow diagram, which includes also the human operator, the tracking system, and the system of manual and automatic control in additional to the standard components of such systems. By using the data flow diagram, it is defined the sequence of stages which occur when the process in transferred from the pre-emergency states to the state of normal operation. A method for assessing the possibility of transferring a technological process from a pre-emergency state to a normal operating in proposed. This method consists in estimating the time relation between the available and the necessary for stabilization of the system. The time required for stabilization consists of the time delay of the measuring device, the latency of the operator and the response time of the actuator. The delay time of the measuring device and the response time of the actuator are determined by the conditions of the technological process. The model for estimating the latency of the person is based on the law “force-time” is developed. A study of the boundary cases of the formula for estimating the available and the necessary time is carried out. Stimulation modelling is conducted, which results are used to estimating the ways of optimizing the technological process in order to improve the reliability of the accident prevention system.

Design and Implementation of Advance Accident Prevention System for Drunk and Rash Driving

Design and Implementation of Advance Accident Prevention System for Drunk and Rash Driving

Nukleáris baleset-elhárítás Magyarországon, különös tekintettel az egészségügyi hatásokra – I. rész

In Hungary the safety requirements of nuclear facilities have made it necessary to elaborate such primary principles that accomplish well-established, comprehensive protective functions. The elaboration criteria are based on the existing experiences of nuclear technologies and their applications, the findings of health and environmental impact studies. The specificities of the individual facilities, such as the detailed elaboration of the accident prevention and protection system of the nuclear power plant in Paks, assure the effective implementation of the comprehensive nuclear accident protection, in accordance with the necessities. In the two parts of the present article the authors cover the aspects of the policies and procedures of Hungarian nuclear accident protection, with the assessment of related radiation and health impacts.