The Research of Enterprise Work Safety early Warning Index Based on Risk Management

2012 ◽  
Vol 594-597 ◽  
pp. 3040-3044
Author(s):  
Qian Hou ◽  
Zong Zhi Wu
Keyword(s):  
Mathematical Model ◽  
Early Warning ◽  
Safety Management ◽  
Risk Index ◽  
Accident Risk ◽  
Future Trends ◽  
Work Safety ◽  
Severe Accidents ◽  
Forecasting Method ◽  
The Status

The purpose of this thesis is to solve the issue that the development of the work safety usually falls behind of the development of the production, which is driven by methodology that evaluating the effectiveness of the safety management by ranking the accidents.The research provided a production accident early warning index to reflect the real time safety status in order to prevent the accident at the source, to control the process and to measure the performance. A correlation analysis was then conducted parameters that meet the requirement of confidence intervals were given. A forecasting method using both quantitative and qualitative tools was proposed and the weights of each early warning index and the correlation between the indexes were determined. Finally, a mathematical model of production accident early warning was established to generate the production accident risk index which could represent the status of work safety and its future trends to forecast and prevent the severe accidents.

scholarly journals A Study on Evaluation System of Risk Assessment at Coastal Activity Areas

2021 ◽  
Vol 33 (6) ◽  
pp. 226-237
Author(s):  
Seon Jung Park ◽  
Seol Hwa Park ◽  
Heui Jung Seo ◽  
Seung Min Park
Keyword(s):  
Risk Assessment ◽  
Evaluation System ◽  
Safety Management ◽  
Coast Guard ◽  
Assessment System ◽  
Mitigation Measures ◽  
Accident Risk ◽  
The Status ◽  
Forecasting System ◽  
Safety Accident

Coastal safety accidents are characterized by a high proportion of human negligence and repeated occurrences of accidents caused by the same factors. The Korea Coast Guard prepares and implements various countermeasures to prevent accidents at coastal safety accident sites. However, there is a shortage of safety facilities and safety management personnel according to the limited budget. In addition, the ability to be proactively and proactively respond is low due to the limitations of the coastal safety accident risk forecasting system, which relies on the meteorological warning of the Korea Meteorological Administration. In this study, as part of preparing the foundation for establishing a preemptive and active coastal safety management system that can manage accident-causing factors, predict and evaluate risk, and implement response and mitigation measures after an accident occurs before coastal safety accidents occur. The establishment of a risk assessment system was proposed. The main evaluation factors and indicators for risk assessment were established through the analysis of the status of coastal safety accidents. The risk assessment methodology was applied to 40 major hazardous areas designated and managed by the Korea Coast Guard.

Fuzzy Mathematical Safety Evaluation of Coal Mine Gas Accident

2012 ◽  
Vol 433-440 ◽  
pp. 2712-2715
Author(s):  
Xiao Li Liu ◽  
Zhi Ye Zhang
Keyword(s):  
Coal Mine ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Risk Index ◽  
Safety Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Accident Risk ◽  
Popular Method ◽  
Coal Mine Gas ◽  
Mine Gas

Now the coal mine gas risk index and evaluation system has a lot of deficiency. The paper establishes a coal mine gas risk index system and explains the meaning of each index on the basis of analysis of gas accident for recent years. Fuzzy comprehensive evaluation has become an effective and popular method, so the paper evaluates the coal mine gas accident risk using fuzzy mathematical safety evaluation, and takes this method in six mines of one group, at last the paper provides some suggestions for this method

Getting Tsunami Recovery and Early Warning Right

2006 ◽  
Vol 31 (1) ◽  
pp. 54-61
Author(s):  
Ben Wisner ◽  
Peter Walker
Keyword(s):  
Indian Ocean ◽  
Early Warning ◽  
Warning System ◽  
Status Quo ◽  
Indian Ocean Tsunami ◽  
Tropical Storms ◽  
Warning Systems ◽  
Tsunami Warning System ◽  
Policy Makers ◽  
The Status

The massive human and economic impact of the Asian tsunami in later 2004 is mirrored in the aftershocks felt among humanitarian organisations, development agencies, and policy makers. This paper raises a number of these troubling, fundamental issues. Firstly, the call for an Indian Ocean tsunami warning system raises fundamental issues about what warning systems can, and cannot, do. Secondly, one is also forced to consider why in the first place so many people live on exposed coasts today, vulnerable not only to tsunamis but tropical storms and rainy season flooding among other hazards. Thirdly, one is challenged to question the very meaning of “recovery”. Such massive damage has been done and so many people and their livelihoods have been dislocated, is it actually possible to imagine a return to the status quo ante? Fourthly, reconstruction of the magnitude now underway in the affected areas raises many difficult questions about accountability, transparency, and the unevenness with which the international community responds to crises. The paper finishes with some recommendations.

Early Warning Mechanism for the Surge of Passengers in Metro Systems Based on Automated Fare Collection Data: Case Study of Guangzhou, China

2019 ◽  
Vol 2673 (4) ◽  
pp. 917-929 ◽  
Author(s):  
Ning Huan ◽  
Enjian Yao ◽  
Binbin Li
Keyword(s):  
Early Warning ◽  
Traffic Control ◽  
Safety Management ◽  
Early Stage ◽  
Point Of View ◽  
Control Measures ◽  
Passenger Flow ◽  
Early Warning Mechanism ◽  
Metro Systems

Recently, surges of passengers caused by large gatherings, temporary traffic control measures, or other abnormal events have frequently occurred in metro systems. From the standpoint of the operation managers, the available information about these outside events is incomplete or delayed. Unlike regular peaks of commuting, those unforeseen surges pose great challenges to emergency organization and safety management. This study aims to assist managers in monitoring passenger flow in an intelligent manner so as to react promptly. Compared with the high cost of deploying multisensors, the widely adopted automated fare collection (AFC) system provides an economical solution for inflow monitoring from the application point of view. In this paper, a comprehensive framework for the early warning mechanism is established, including four major phases: data acquisition, preprocessing, off-line modeling, and on-line detection. For each station, passengers’ tapping-on records are gathered in real time, to be further transformed into a dynamic time series of inflow volumes. Then, a sequence decomposition model is formulated to highlight the anomaly by removing its inherent disturbances. Furthermore, a novel hybrid anomaly detection method is developed to monitor the variation of passenger flow, in which the features of inflow patterns are fully considered. The proposed method is tested by a numerical experiment, along with a real-world case study of Guangzhou metro. The results show that, for most cases, the response time for detection is within 5 min, which makes the surge phenomenon observable at an early stage and reminds managers to make interventions appropriately.

scholarly journals A simulation to identify the optimal area to survey in the early stage of invasion by Solenopsis invicta

2021 ◽  
Author(s):  
Shumpei Hisamoto ◽  
Koichi Goka ◽  
Yoshiko Sakamoto
Keyword(s):  
Mathematical Model ◽  
Cost Effectiveness ◽  
Solenopsis Invicta ◽  
Early Stage ◽  
Geographical Information ◽  
Survey Area ◽  
Single Colony ◽  
The Status ◽  
Optimal Area ◽  
The Cost

Abstract Efforts to eradicate invasive alien species commonly use simulations to calculate the cost-effectiveness of surveys. Although eradication of Solenopsis invicta in the early stages of an invasion is important, few simulations are available to calculate the cost-effectiveness of surveys when a single colony has been detected. In the case of S. invicta, it is difficult to determine from the status of the detected colony whether new queens have dispersed, so it is necessary to consider dispersal as a probabilistic event and calculate its probability. We therefore first constructed a mathematical model in which we used Bayesian statistics to estimate the probability of dispersal as a function of the results of the survey. This mathematical model revealed that the efficacy of the survey and the associated cost differed greatly between cases depending on whether dispersal was or was not confirmed. Next, we developed a simulation that incorporated this mathematical model to inform the determination of the survey area when a single colony had been detected. The simulation showed how ecological parameters and geographical information could be used to identify an efficacious survey area, even in heterogeneous landscapes such as international ports where invasions occur sporadically. Finally, we used this simulation to assess the efficacy of a survey in the case of an S. invicta outbreak at the Port of Tokyo, Japan. The results suggested that the survey covered a sufficiently wide area but that it could have been designed in a more efficacious manner.

scholarly journals Implementasi IoT Untuk Early Warning System(EWS) Pada Tambak Udang Vaname

2021 ◽  
Vol 5 (1) ◽  
pp. 20-19
Author(s):  
Muhamad Wisnu Alfiansyah ◽  
I Gede Putu Wirarama Wedashwara W ◽  
Ahmad Zafrullah Mardiansyah
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Economic Value ◽  
Warning System ◽  
Pond Water ◽  
Accuracy Test ◽  
Forecasting Method ◽  
Double Exponential ◽  
Water Ph ◽  
Double Exponential Smoothing

Vaname shrimp is a type of aquaculture that has a high economic value and has relatively fast growth. Good water quality is key in the cultivation of vaname shrimp on ponds. However, monitoring of pond water conditions is still done manually and not done intensively. Internet of Things (IoT) and Early Warning System (EWS) as the latest technology can be a solution in periodic pond monitoring activities and give early warning to farm owners. Double Exponential Smoothing Holt is one method for forecasting in time series. In this study, the system predicts the potential for endangering the pond conditions, when there are indications of danger, it will inform the user via Telegram chat. The accuracy test value of the forecasting method used for water temperature is the MSE value of 0.01954 and MAPE of 9.0859%. Whereas for the water pH, the MSE value is 0.000155 and MAPE of 0.828%.

Conclusions – Summary, the status quo and future trends

2017 ◽  
pp. 462-469
Author(s):  
Bingunath Ingirige ◽  
Srinath Perera ◽  
Kirti Ruikar ◽  
Esther Obonyo
Keyword(s):  
Status Quo ◽  
Future Trends ◽  
The Status
Sign in / Sign up

Export Citation Format

Share Document