Context-aware system based on user power data

Abstract

The invention discloses a context-aware system based on user power data. The context-aware system based on the user power data comprises a data acquisition unit, a context-aware model establishing and inference engine unit and a data storage unit, wherein the data acquisition unit is provided with a data acquisition module, a data cleaning module, a data preprocessing module, a consumption behavior data clustering module and a clustering evaluation feedback module; the context-aware model establishing and inference engine unit is provided with a data processing module and a model establishing module; the data acquisition module is provided with a sensor; the data cleaning module is used for modifying or deleting error data; the power data are obtained through the sensor, and then the data are processed and correspondingly subjected to partition clustering, then data modeling is carried out on context-awareness to understand consumption behaviors of a user and extract the power mode of the user so as to form a multidimensional user-customer classification system to provide effective reference data for working of power supply bureau personnel.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a situation awareness system based on user electricity consumption data. Background technique [0002] Scholars and companies at home and abroad have done a lot of research on situational awareness, but the application in the power industry is still relatively blank. A lot of research has also been done on the customer classification of domestic power grid companies, mainly through the application of new equipment and the optimization of algorithms to achieve new customer classification. However, relevant studies only proposed a single new customer classification dimension, and did not establish a multi-dimensional classification system based on user behavior patterns. Moreover, the application of new equipment cannot obtain user electricity consumption information in a timely manner, and cannot help power grid companies more accurately grasp electricity customers. The b...

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Problems solved by technology

However, relevant studies only proposed a single new customer classification dimension, and did not establish a multi-dimensional classification system based on user behavior patterns, and the application of new equipment could not obtain user electricity consumption information in a timely manner, nor could it help power grid companies to more accurately grasp electricity customers Business requirements for differentiated services cannot provide support for power grid companies to provide customers with personalized and value-added services

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