A data processing method and device, an electric energy meter, and a storage medium
By breaking down the data collected by the electricity meter into components and calculating the corresponding parameters, the problem of large storage space occupied by the electricity meter is solved, and more efficient data storage and updating are achieved.
CN115658787BActive Publication Date: 2026-06-16NINGBO SANXING MEDICAL & ELECTRIC CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NINGBO SANXING MEDICAL & ELECTRIC CO LTD
- Filing Date
- 2022-10-27
- Publication Date
- 2026-06-16
AI Technical Summary
⚠Technical Problem
Existing electricity meters use string data storage when collecting electricity, resulting in large storage space consumption and cumbersome updates.
⚗Method used
The data collected by the electricity meter within a preset period is divided into multiple components. The corresponding parameters of each component are calculated and stored as decimal numbers of binary numbers in a preset format to avoid directly storing strings.
🎯Benefits of technology
It saves storage space, simplifies the data update process, and improves the storage efficiency and data processing speed of electricity meters.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN115658787B_ABST
Abstract
Embodiments of the present application provide a data processing method and device related to electric energy meter technology, an electric energy meter and a storage medium. The data processing method is applied to an electric energy meter and includes: acquiring and counting collection results of the electric energy meter collecting electric quantity at each preset interval time within a preset period, the collection results including successful collection and unsuccessful collection; according to a preset rule, splitting all collection results within the preset period into multiple components; calculating corresponding parameters of the collection results in each component, the corresponding parameters being parameters calculated based on values corresponding to the successful collection and the unsuccessful collection respectively; calculating storage parameters according to the corresponding parameters, and storing the storage parameters in a preset format. Thus, the data storage space of the electric energy meter can be effectively saved.
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