Location Planning of Field Ammunition Depot for Multi-stage Supply Based on Dijstra Algorithm

The location of field ammunition depots is related to the efficiency and effectiveness of ammunition supply and support, and is affected by the changing needs of different stages of operations. In response to complex situations such as damage to transportation roads, repairs, and dynamic changes in demand in the course of combat, the fastest supply speed is the primary goal, while the satisfaction rate, balance, and cost factors of the ammunition supply at each demand point are taken into account to build a multi-stage supply Site selection planning model for field ammunition depot. Use Dijstra algorithm’s hierarchical sequence method to determine the shortest supply time, gradually increase the supply time, find the relationship between supply time, satisfaction rate, balance and cost, and find a satisfactory location plan. Finally, the simulation case calculations show that the model can cover some key dynamic changes during wartime, with strong adaptability and more scientific site selection.

Experiment Study of Ignition Characteristics in An Axial-flow-injector Burner for Stirling Engine

To investigate the ignition characteristics of an axial-flow injection burner for a Stirling engine, a combustion chamber was designed. Diesel was used as fuel and oxygen as oxidant. The experiments of ignition characteristics were carried out with an electric plug igniter. The ignition characteristics under different combustion chamber pressure, pre-oxygen supply time, oxygen supply flow and ignition position were studied. The experimental results show that, with the increase of the pressure, the ignition time of the burner increases gradually, and the ignition success rate decreases gradually. The oxygen flow rate is related to ignition time in a certain range, while the pre-oxygen supply time has little effect. With the ignition position moving downward, the ignition time decreases gradually.

Determination of Proper Water Supply Rate for Emergency Interconnection Plan

The deterioration of water supply networks leads to frequent accidents, such as pipe failure, which result in water service interruptions. Depending on the type of accident, a large-scale water service interruption can occur. Therefore, an emergency interconnection plan has been established to prevent interruptions in water service. However, most emergency interconnection plans only consider whether water can be supplied to the region of water service interruption. The area that can actually supply water, emergency water supply area (EWSA), and the possible time required to supply water, emergency water supply time (EWST) are not usually considered. Furthermore, in cases wherein the adjacent local governments or adjacent water supply blocks have insufficient water for the region of water service interruption, it is a good practice to increase the possible water supply time by the reducing the water supply rate (WSR) in order to minimize the damage from the water service interruption. In this study, a method is suggested to determine the proper WSR required to minimize the damage when the amount of emergency water is insufficient. Since it is a case where the amount of emergency water is not sufficient, A-PDA is used to simulate EWSA and EWSA for each WSR. The simulation results are subsequently converted into the customer satisfaction index for each WSR. Through this procedure, the proper WSR can be determined, thereby improving both customer satisfaction and water supply time. Finally, this method is applied to a real water supply network to verify its applicability.

The Method of Force of Fire in High-Rise Building by Guide to the Fire Safety Concepts Tree: Focusing on Manually Fire Suppression Strategy

This study analyzes the issue of the supply of force of fire in the high-rise buildings, and proposes an efficient method to do so. The results are as follows. First, in terms of Detect fire, it is necessary to shorten force of fire supply time by diversifying fire alarms such as alarms, vibrations, and voices from outside, clarification of fire occurrence points, and marking of fire. Second, with regard to communication signals, strengthening the installation target of wireless communication auxiliary facilities, supplementing the installation of repeaters, and constructing a multicommunications network were proposed. Third, in terms of Decide action, it is necessary to supply firefighter and firefighting equipment with the method of crossing of a river in adjacent buildings. Fourth, in terms of Respond to site, helicopters and emergency elevators are used to assist in the supply of firefighting equipment using drones. Easy-to-break glass windows and identification marks are required in every floor. Finally, in terms of applying fire suppressants, water can be supplied by means of a helicopter adjacent to the structure.

Monitoring Nonrevenue Water Performance in Intermittent Supply

Water utilities should monitor their nonrevenue water (NRW) levels properly to manage water losses and sustain water services. However, monitoring NRW is problematic in an intermittent water supply regime. This is because more supplied water to users imposes higher volumes of NRW, and supplying significantly less water results in an unmet water demand but interestingly less NRW. This study investigates the influence of the amount of water supplied to a distribution system on the reported level of NRW. The volume and indicators of NRW all vary with variations in the system input volume (SIV). This is even more critical for monitoring NRW for systems shifting from intermittent to continuous supply. To enable meaningful monitoring, the NRW volume should be normalised. Addressing that, this research proposes two normalisation approaches: regression analysis and average supply time adjustment. Analysis of the NRW performance indicators showed that regression analysis enables the monitoring of NRW and tracking its progression in an individual system only, but not for a comparison with other systems. For comparing (or benchmarking) a water system to other systems with different supply patterns, the average supply time adjustment should be used. However, this approach presents significant uncertainties when the average supply time is less than eight hours per day.