Ensuring the Survivablity of the Trekker Using Drone and RFID Technology

Amature trekkers venturing into the forest often tend to lose their path and find it difficult to return back to their origin or destination. It is important for the rescuers and volunteers to promptly find the trekker in order to increase the probability of survival. Imparting confidence and providing proper guidance to the trekker is also an important part in search and rescue missions. Drones can be used to locate the trekker promptly using RFID technology and global positioning system (GPS) and provide communication systems between the trekker and the rescue team using LoRa.

Algorithm design and analysis of fire rescue problems

With the rapid economic development, the urban space environment is becoming more and more complex, various accidents and disasters occur frequently, and safety risks are increasing. The rescue tasks involved in the fire brigade are showing a trend of diversification and complexity. The fire rescue team always puts the people first and insists on serving the people wholeheartedly. It is the guardian of maintaining social stability in our country and safeguarding the health and safety of people’s lives and property and various disaster affairs. The society needs the participation in the fire rescue team. Aiming at the fire rescue problem, this paper uses the fire rescue call data onto 2016 to 2019 to predict the number of fire rescues / rescued calls based on the difference equation to improve the rescue efficiency of the fire brigade. Taking into account the impact on the domestic epidemiced in 2020 on people’s lives, the adjustment value was introduced to adjust part of the alarm data onto 2020 to ensure the accuracy and reliability of the data. Finally, the second-order difference equation is used to predict the alarm data onto 2021 through the least square method, which verifies the accuracy of the model.

IoT based smart ferry system

This research work discusses an IoT based smart ferry system. The proposed system is implemented in NODE Red based simulations. Each component is considered as nodes and analysis is done. The technical process is explained with the help of a flowchart. And how the information is passed on to the sailors, ferry crew, ferry operators, ferry controllers and maintenance engineer is discussed. In addition it is displayed using the Node red dashboard as well as through ThingSpeak cloud server for further analysis. The proposed idea is to build an IoT infrastructure consisting of smart devices which will measure different attributes of a boat and notify the captain or the rescue team of the difficulties or the problem faced by the boat during a trip. The monitoring system is based on open source software to retrieve data from the sensors at intervals and send them to the cloud in order to easily monitor them via a dashboard. Fully automated and robust IOT enabled smart devices are developed to collect the data from the boat. The Data to measure the weight and passenger on board is collected by Weight Sensor and IR Sensor and the Captain of the Ship is notified for the same. Temperature of the engine room is monitored and under severe circumstances the rescue team is notified for the same. The wind speed is also monitored in case of stormy conditions.

Factors Associated with Successful Resuscitation during Out-of-Hospital Cardiac Arrest Performed By Surgico Medical Ambulance and Rescue Team (S.M.A.R.T), Division of Emergency Medical Service and Disaster, Faculty of Medicine Vajira Hospital, Navamindrad

Objective: To explore factors associated with successful on-scene cardiac resuscitation and to identify the number of patients with return of spontaneous circulation (ROSC). Materials and Methods: The present study was a retrospective descriptive study. Data were collected from the Surgico Medical Ambulance and Rescue Team at the Emergency Medicine Service and Disaster Division, Navamindradhiraj University. Data were recorded by using the overall operation reports of the Bangkok Emergency Medical Service Centre (Erawan Centre) about advanced life support. The reports used the code followed by the Emergency Medical Triage Protocol and Criteria Based Dispatch (CBD), CBD6 Red1, or followed by Response Code (RC) RC6 Red1, between May 2019 and April 2020. Results: Two hundred seventy-three patients with out-of-hospital cardiac arrest (OHCA) were included in the present study. Seventy (25.6%) patients were successfully on-scene resuscitated, of which, 65.7% were male patients with an average age of 57.87 (standard deviation [SD] 21.6) years. However, 203 (74.4%) patients that received appropriated advanced resuscitation (non-ROSC) died on scene. Among patients in the successful resuscitation group and those in the deceased group, 65.7% and 61.6% were male, respectively (p=0.537). The mean age was 57.87 (SD 21.6) years and 65.8 (SD 20.21) years, respectively (p=0.006). In the multivariate analysis controlled for confounders, a significant association (p<0.05) was found between successful pre-hospital cardiac resuscitation on scene with the following four factors, traumatic cardiac arrest (adjusted odds ratio [OR] 4.18, 95% confidence interval [CI] 1.60 to 10.93, p=0.004), response time within eight minutes (adjusted OR 2.07, 95% CI 1.03 to 4.14, p=0.041), initial electrocardiogram with ventricular fibrillation (adjusted OR 2.63, 95% CI 1.13 to 6.12, p=0.025, and pulseless electrical activity (adjusted OR 2.89, 95% CI 1.26 to 6.64, p=0.012), and administration of resuscitation drug with epinephrine (adjusted OR 13.62, 95% CI 4.72 to 39.31, p<0.001). Conclusion: In the present study, four factors were found to have a significant association with successful prehospital cardiac resuscitation on scene. Based on the knowledge discovered, these factors will develop on-scene CPR guidelines for the care of patients with OHCA for the authors’ emergency medical service personals. Keywords: Success; Resuscitation; Prehospital cardiac arrest

Automatic Vehicle Accident Detection System

The ascent of technology and infrastructure has created our lives easier. the appearance of technology has conjointly enhanced the traffic hazards and therefore the road accidents ensue ofttimes that causes immense loss of life and property owing to the poor emergency facilities. Our project can give AN optimum resolution to the present flinch. AN measuring device may be utilized in a automobile alarm application in order that dangerous driving may be detected. It may be used as a crash or change detector of the vehicle throughout and when crash. With signals from AN measuring device, a severe accident may be recognized. in step with this project once a vehicle meets with AN accident straight off vibration detector can notice the signal or if a automobile rolls over, and small electro system (MEMS) detector can notice the signal and sends it to ARM controller. Microcontroller sends the alert message through the GSM electronic equipment together with the situation to the police room or a rescue team. therefore the police will straight off trace the situation through GPS electronic equipment, when receiving the data. Then when orthodox the situation necessary action are going to be taken. If the person meets with a little accident or if there's no serious threat to any ones life, then the alert message may be terminated by the motive force by a switch provided so as to avoid wasting the dear time of the medical rescue team. This paper is helpful in police work the accident exactly by suggests that of each vibration detector and small electro system (MEMS) or measuring device. As there's a scope for future implementation we will add a wireless net cam for capturing the photographs which can facilitate in providing drivers help.

IOT based Land Slide Detector

Landslide is a natural disaster damaging the social life every year. It can be defined as the movement of mass of rock, debris down a slope. It occurs due to natural or manmade activities. Asia was found to be the most affected continent where 75% of landslides occurred. India also faced the loss of humans due to landslides which occurred last year during monsoon in kerala. The main aim of the proposed system is to detect those conditions which lead to the occurrence of landslide and notify it well before time so that necessary steps can be taken to reduce or save the human loss. The proposed system uses soil moisture and accelerometer sensors. Moisture sensor readings are indicative of the moisture content in the soil whereas accelerometer checks movement of land. The readings crossing the defined thresholds give alarm to local citizens to safeguard themselves. All the readings from microcontroller are also uploaded on thingspeak cloud to analyze them and alert the rescue team in case of MIDDLE and DANGER zones. The system takes 10 ms time to collect data from sensor and transmit it to things speak server is about 30 second.

Smart Assistant for Accident Prevention and Rescue

Travelling is playing a vital role in human life, now it has turned to be dangerous due to accidents. In a survey, Govt declared that more than 1.5 lakhs people are expiring in a year via mishap. More-over in the reported death cases two-third victims die due to late arrival of rescue team. In our project Prevention with alcohol sensor & we are interfacing GSM, GPS, Vibration sensor to know the accident occurrence and place of occurrence and sending message to the rescue team to save the victims as soon as possible. If the route is not visible (due to fog) through Ultrasonic sensor we can drive safely to our destination.

Smart Assistant for Accident Prevention and Rescue

Travelling is playing a vital role in human life, now it has turned to be dangerous due to accidents. In a survey, Govt declared that more than 1.5 lakhs people are expiring in a year via mishap. More-over in the reported death cases two-third victims die due to late arrival of rescue team. In our project Prevention with alcohol sensor & we are interfacing GSM, GPS, Vibration sensor to know the accident occurrence and place of occurrence and sending message to the rescue team to save the victims as soon as possible. If the route is not visible (due to fog) through Ultrasonic sensor we can drive safely to our destination.