Based on the strategic goal of building the world-class energy internet enterprise in China, combined with the important content of widespread power internet of things, it analyzed the new demand and development direction of the metrology technology under the new situation. A kind of measurement standard architecture that can support the energy internet need is proposed based on the existing measurement system architecture, the contents of relevant standards that need to be revised or added in each layer of the system (device layer, communication layer, interoperability layer, security layer, system layer) are specifically studied, which provides guidance for the promotion and revision work of relevant standards, promotes industrial technological innovation, and supports industrial optimization and upgrading.
This paper compares the differences between the International Recommendation46 (IR46 for short) and the current national standards for electric energy meter of the accuracy classes, testing requirements, software protection and so on. The national meter adaptability of IR46 is analyzed, and a technical proposal of dual-core smart meter is advanced. This proposal could match the testing and software protection requirements for IR46, and could implementation in China.
In order to solve the problem of frequent switching and tripping of intelligent power meter and ineffective power failure, a quality data collection and quality monitoring based on acceleration sensor is proposed. Firstly, this paper briefly describes the objects and methods of quality data acquisition and quality monitoring of intelligent watt hour meter. At the same time, based on the analysis of the requirements of quality data acquisition and quality monitoring of intelligent watt hour meter and based on B/S architecture, the quality data acquisition and quality monitoring framework of intelligent watt hour meter is designed. Finally, an intelligent power meter quality monitoring interface with friendly interactive and real-time display acceleration sensor is built using SVG and JavaScript technology. The results show that the collection and monitoring data based on acceleration sensor, three batches of three-phase 0.2 intelligent electric energy meters, meet the operation requirements. Among them, the batch failure rate and classification failure rate in the operation of the third batch are low, and the sampling qualified rate is high, which is an excellent level. The intelligent power meter quality data collection and monitoring system of acceleration sensor can also meet the requirements of full life cycle monitoring of intelligent energy meter quality. It provides a new method for the data acquisition of intelligent electric energy meter and hopes to provide some references for the timely discovery and solution of the quality problems of intelligent electric energy meter in the future.
Intelligent electricity meter represents the development direction of intelligent terminal of energy-saving smart grid end-user in the future. Intelligent electricity meters are widely used in the field, and the development momentum is rapid. In the future, the market demand is more vigorous, and the competition is increasingly fierce. However, in the practical application of electricity meters, faults may occur due to the influence of production enterprises, key components, research and development schemes, quality regulations, age of meters and other factors, even exposed batch quality problems, resulting in measurement disputes and customer complaints. In view of providing power companies and production enterprises with high batch early-warning for intelligent electricity meters to avoid economic losses caused by large-scale failures, based on the statistics of the whole life cycle data of 10 intelligent watt-hour meter manufacturers, this paper analyzes the typical fault types of intelligent watt-hour meter in detail, and obtains the analysis samples and dimensions of the main influencing factors. Based on the analysis method of standard deviation index, the multi-dimensional fault discrete analysis is carried out on the analysis samples, the dimension with the highest dispersion coefficient of fault is mined layer by layer until the smallest element is analyzed, and finally the main influencing factors of fault are obtained. The analysis results are basically consistent with the actual market performance of the production enterprise, which proves the rationality and scientific nature of the set of calculation indexes and discrete analysis method.
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