The combined cooling, heating and power (CCHP) system not only has high energy efficiency but also has different load structures. Traditional separate production (SP) system and power supply system do not consider the land cost in terms of the environmental benefits, and in the aspect of the power supply reliability, the grid-connected inverter cost is also ignored. Considering the deficiency of the traditional energy supply system, this paper builds the CCHP system construction cost model. The particle swarm optimization (PSO) is adopted to find out the minimum value of the construction cost, and the optimal system construction scheme is constructed from three aspects which are system reliability, economic benefits and environmental benefits. In this paper, the typical daily data, as well as the meteorological data and the load data, in the last four years are taken as experimental dataset. The experimental results show that compared with the traditional SP system and power supply system, the CCHP system established in this paper not only achieves lower cumulative investment cost, but also has a good power supply reliability and environmental benefits.
An effective Supervisory Control and Data Acquisition (SCADA) system can improve the reliability, safety and economic benefits of a microgrid operation. In this research, the lower central controller and upper WEB (World Wide Web) monitoring system are connected by the SCADA system, which is the hub of a microgrid intelligent monitoring platform. This system contains a set of specific functions programmed by Java as a middleware and can provide communication and control functions between the central controller and the upper monitoring system. For the sake of security and stability of the microgrid, the SCADA system realizes business processing on real-time data acquisition and storage, load balancing and resource recovery, concurrent security processing, and control instruction parsing and transmission. All those functions were tested and verified in actual operation.
In this paper, we propose an intelligent channelmultiplexed home intercom system based on Voice over IP (VoIP), which is different from traditional home intercom system. The transmissions of audio and video signal are both supported in the system. According to different functions, the system is mainly divided into two modules: VoIP module and master control module. VoIP module consists of driver, OS Kernel and application layer, which can guarantee multiple tasks to be processed at the same time and ensure the real-time response of system. To save channel resource, Micro Control Unit (MCU) is used to realize the channelmultiplexed function via the communication with VoIP processor. Therefore, to ensure the normal communication between VoIP module and master control module, we define communication command words based on RS232 protocol. The test and application results indicate that our system achieves the goal of channel-multiplexed audio and video transmission based on VoIP, and has high expansibility.
Featured Application: This indirect measurement method can be utilized to improve the remote meter reading technology for gas meter.Abstract: At present, the remote meter reading problem for a large number of existing domestic diaphragm gas meters has not been reliably solved. The diaphragm gas meter uses a physical structure to measure gas consumption, so the main problem of remote meter reading is the digitization of gas consumption. Although it is possible to digitize the consumption data by modifying the internal structure of the gas meter or adding sensors, thereby realizing the function of remote meter reading, the modification process is complicated, the modification cost is high, and manual meter reading can only be used for the existing diaphragm gas meters. For this reason, this paper proposes an indirect measurement method of gas consumption based on gas pressure signal detection. The method can digitalize the metering results of the mechanical diaphragm gas meter and develop a state detection function by analyzing the pressure signal of the outlet of the meter without modifying the internal structure of a meter, thus addressing the key difficulties in the construction of a gas meter remote meter reading system. The experimental results show that this method has small calculation error and high reliability.results can be adjusted according to temperature and pressure to improve the accuracy of measurement results. At present, there are a large number of traditional mechanical diaphragm gas meters in the user market, which makes it difficult to install and popularize intelligent gas management equipment.Scholars in China and abroad have put forward some intelligent management schemes for diaphragm gas meters, among which the transformation of the meter body can be mainly classified as adding image processing equipment and changing the internal structure. Cai Shun studies a remote control gas meter reading system based on ZigBee wireless communication technology and digital image recognition technology [2]. In this scheme, the sensor node takes a picture of the gas meter using a CMOS camera, and sends it to the sink node through a multi-hop ZigBee network in the residential area. Similar to the above method, Kun Wang studies a remote gas meter reading system based on a wireless communication technology named LoRa [3]. This scheme mainly includes a machine vision system and a wireless communication system. The former refers to acquiring the image information of the dial of a diaphragm gas meter, and then obtaining the value by using image processing. The latter involves using the LoRa module to send the gas consumption data to the server. Although these methods have high credibility and do not require changing the existing gas meter and gas pipelines, they demand high levels of the image transmission and processing algorithm's efficiency and the computer hardware used to process pictures. Ying Xie utilizes the M-Bus networks and GPRS wireless transmission technology to achieve remote control and transmiss...
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