http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113263926-B
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filingDate | 2021-06-16^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-10-25^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-10-25^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-113263926-B |
titleOfInvention | A system for optimizing the charging time of electric vehicles in residential areas based on big data analysis |
abstract | The invention relates to the technical field of big data application, and discloses a system for optimizing the charging period of electric vehicles in residential areas based on big data analysis. It includes a support base and a charging analyzer arranged on the upper end of the support base. A charging period analysis system is set inside the charging analyzer. The user scans the face information through the camera to log in to the charging period analysis system, submits the charging application for the electric vehicle, and the MCU module calls it. The user's historical charging usage information stored in the system, the community power supply tracking module is used to record the total electricity supply in the community in real time, and the total electricity consumption statistics module is used to query and count the overall electricity consumption information of the community residents, and then analyze the big data. The module combines big data analysis and calculation, calculates the charging usage period with low consumption, pushes the cost-effective charging usage period plan to the user, and performs voice broadcast reminder through the voice playback module to achieve the best allocation of charging time period to residents. Plan to avoid charging peaks. |
priorityDate | 2021-06-16^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
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