Energy internet data processing method based on cloud collaborative hierarchical autonomy
A technology of energy internet and data processing, applied in data exchange network, neural learning method, digital transmission system, etc.
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Embodiment 1
[0059] refer to Figure 1~6 Energy Internet data processing methods, including:
[0060] S1: Collect terminal load data information and perform preprocessing. What needs to be explained is that the original data of the primary system and the secondary system are collected; the boundary samples are established by using the correlation clustering algorithm to provide comparative analysis support for data analysis, the data rules are analyzed and the data association rules are constructed in combination with the existing prior knowledge to form data samples , to achieve data preprocessing; quickly form general and professional data cleaning rules with the help of technicians’ auxiliary marks, and realize data cleaning constraints; according to the specified data cleaning rules, data defects (such as incompleteness, inconsistency, repetition, etc.) carry out corresponding processing;
[0061] Among them, the data cleaning rules include denoising the data, estimating missing valu...
Embodiment 2
[0100] refer to Figure 7 , which is the second embodiment of the present invention. This embodiment is different from the first embodiment in that this embodiment uses Kettle to integrate structured equipment ledger data, and uses Kafka tools to integrate structured real-time monitoring data , use the Flume tool to integrate unstructured text data, and then realize all types of data integration; refer to Figure 7 For the distributed file storage scheme of this embodiment, in order to improve the system data throughput, speed up the system processing speed and ensure a good and effective data fault tolerance mechanism, it is planned to realize that the system is reasonably stored on the data nodes according to the same rules, so as to obtain almost linear The scalability of the system and the load balancing of the system are realized through the distribution mechanism such as Hash to ensure the consistency of the data.
[0101] In this embodiment, data caching is further opt...
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