History Of The Optimization Techniques

Published Date: 02 Nov 2017

Development at home and abroad to build the next generation of smart grid and related technologies in the electric power industry recently called Smart Grid has been actively. Means the power providers and consumers to optimize energy efficiency and real-time information exchange in both directions, by integrating information and communication technologies into the power grid, smart grid of existing infrastructure. Current electricity providers by leveraging information and communication technology, enables optimum power transfer to the consumer is to modernize the power grid. In the fields of electric power anytime, anywhere communications equipment can control ubiquitous environment using the latest IT technology can be implemented. Power Equipment Power Generation, Transmission, distribution, remote meter reading, etc. scattered terminal equipment attached to the control facility for sending and receiving data through a variety of communications environments. There is a growing importance of these smart grid and demand that regulate power usage from remote measurements in the environment from remote metering.

Telemetering nationwide scattered in the area of remote meter metering system. Remote meter reading server, wired and wireless communications, metering, remote meter reading, the modem is configured. The same time, tens of thousands of remote meter reading information coming from the modem to be processed because of the processing power of the server is very important. Remote meter reading server operating in the region as the region is divided into processing and modems. In this paper, we propose a method to operate efficiently divided into regions and remote meter reading server operating

In remote and regional operating the metering button are operated independently of each other. Telemetering terminal for AMR content sent to the server periodically. Telemetering terminal server of the region of tens of thousands of information aggregated information does not come as a terminal command again down the remote meter reading to obtain information comes Telemetering terminal information of thousands to come to get on the server, because it is time-consuming. And delay to acquire the entire data as a result of a communication failure, modem failure occurs. Telemetering server is distributed by region, but is operating, each server separately. Therefore, in this paper, we propose how to operate the remote meter reading server operates independently distributed efficiently.

Telemetering terminal information in your area acquired an area of remote meter reading server, after other areas of remote meter reading server that supports your business structure. To do this, the module is installed in the center of the remote meter reading server monitoring, remote meter reading of each server monitoring and controlling agent installed. Check whether the agent information in real time via its remote meter reading server information acquisition. Have completed the acquisition of information your local terminal server to obtain information for different regions of the terminal telemetering. Other areas through the acquisition of information that is distributed in this way, remote meter reading server downtimes without operating to want to.

Existing web server or internal business servers in the case of the stable operation of the server is important. It was important to use their services because if the server fails, the server redundancy through load balancing and scheduling techniques Lansing. Access users increases due to the increase of multimedia data and the amount of data to process, the server because it takes a lot of time, and a lot of research was done on techniques to minimize the amount of time these connections. Smart phones for wireless communications access technology, and hacking the security policy is applied, the big issue was CPU and a modem connection to send information to a server facility to the development of the ubiquitous sensor networks in recent years the service has increased. Is in the national infrastructure, such as electricity, gas, water, and apply a lot of the remote meter reading system. These equipment to get the information services like remote meter reading system is expected to accelerate.

How to read all the latest IT technology by applying information service in remote telemetering. Anywhere, anytime in an era of ubiquitous service can be applied to a variety of systems. Remote meter reading services in a variety of industries such as power, gas, water is being applied. Telemetering proposed in this paper to the server's effective management techniques can be used for various applications. In Chapter 2, in this paper we propose a remote meter reading server design optimization techniques. Chapter 3 and to evaluate the implementation of remote meter reading server optimization techniques. Environment to a virtual terminal and remote meter reading server optimized for remote meter reading server, and you want to apply the algorithm implementation. In the last four chapters, the conclusions of this study and future research are described.

The Design of the optimization techniques of the work-sharing scheduling in remote metering server

In this chapter, propose optimization techniques for remote meter reading server management. Exist independently of the region with a large number of remote meter reading server while acquiring and managing the information of the remote terminal equipment. Information acquisition takes a long time to quickly get the information of the remote terminal server, and also depending on the local situation.

Figure 1. The case of server fail because of the data congestion

There are several reasons why the data acquisition time difference occurs on a per-server basis so that First, the difference between the network environment. Geographically far away from the remote terminal server because for wired and wireless communications to send and receive data using At this time, in case of failure of the communication failure occurs, the data acquisition occurs. Second, because the quantity of remote equipment fails, the remote facility. If the server fails, the remote facility in the period will be longer to get the information. Third, if the disability occurs on the server. Is looking to acquire a large number of data on the server load, due to a delay will occur in the data acquisition. In this paper, several of these cases, taking into account the regional facilities management of remote meter reading server optimization method is proposed.

Centralized remote meter reading server by the end of the data acquisition server monitoring is how to support the work of the other areas of the server. Due to application of remote meter reading server management optimization techniques, full-time server operating savings, and improve the availability and reliability of the server.

Figure 2. The flow of the optimization techniques of the work-sharing scheduling

Telemetering the proposed management techniques are as follows. In this paper, we propose regional facilities in remote metering monitoring agent installed on the server, the ability to monitor in the center of the remote meter reading system configuration and server management, Remote meter reading server management and monitoring system, the monitoring agent is directed to the end of the server's behavior, the role of the other server. Monitoring agents by monitoring the behavior of the remote meter reading server, and passes the information to the remote meter reading of the central server management system. And take command of the remote meter reading server management system, instruct the server down. Algorithm is applied to the existing server behavior related to how to manage the server. Operational plan is to set a region remote meter reading server's operating plan in advance. Placed an efficient algorithm to analyze the existing server operating patterns determined. Shall specify the place on these server management module for remote meter reading server-specific operating pattern by the scheduling order to run the server.

Figure 3. The procedures of the monitoring server and agent

Experimental results and Discussion

Simulations show that the proposed algorithm has been tested remote meter reading server. Through multiple remote terminals, remote meter reading server data is acquired. Multiple features such as remote meter reading server behavior. In this paper, how the behavior of the server running a single monitoring agent n n remote meter reading server was implemented. When applying existing methods and propose an algorithm that takes time, availability, and stability were compared.

Figure 4. The result of the experiment of time

Figure 5. The result of the experiment of availability

Figure 6. The result of the experiment of reliability

Conclusion

In this paper, we want to study for the optimization method of remote meter reading server. Telemetering modems using hundreds of thousands of remote meter reading from the server that is distributed to the regional nature of the remote meter reading server communicates with the remote terminal equipment. Runaway server data, network disconnection due to the remote meter reading data from the server and the remote control in the process, in the course of hundreds of thousands of remote probes, the problem occurs. Solve these problems and propose a technique for telemetering optimal server operating

In the center of the proposed regional facilities in remote metering monitoring agent installed on the server, the ability to monitor, remote meter reading system configuration and server management. Remote meter reading server management and monitoring system, the monitoring agent is directed to the end of the server's behavior, the role of the other server. Monitoring agents by monitoring the behavior of the remote meter reading server, and passes the information to the remote meter reading of the central server management system. And take command of the remote meter reading server management system, instruct the server down. Algorithm is applied to the existing server behavior related to how to manage the server. By applying static techniques and dynamic techniques in the future, you will want to experiment and evaluation.