A cloud computing and big data combined application method, device and medium based on a narrowband Internet of Things (IoT) scenario

By employing a data parsing and governance method based on terminal identifiers and time information in narrowband IoT scenarios, the problem of inconsistent data quality has been solved, enabling efficient and reliable data processing and storage, and improving the consistency of data management and service.

CN122152909APending Publication Date: 2026-06-05GUIZHOU HONGYUN DATA TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU HONGYUN DATA TECHNOLOGY CO LTD
Filing Date
2026-02-12
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In narrowband IoT scenarios, the value of IoT data is difficult to be efficiently, reliably, and flexibly mined and applied due to heterogeneous terminal protocols, unreliable clocks, inconsistent data quality, low storage and query efficiency, and lack of security control.

Method used

By determining data parsing rules based on terminal identifiers, load data parsing is performed to generate unified format object model data. Target timestamps and time confidence levels are determined based on time information for quality governance, generating unified quality labels. Data is then classified and stored according to preset data filtering rules, and a published view is generated in response to query requests.

Benefits of technology

It enables end-to-end integrated data processing in the cloud, completing field-level parsing, unified object model mapping, and rule-based governance, ensuring the traceability and consistency of the data processing process, providing reliable time series, and improving the governance consistency, isolation consistency, and external service consistency of massive terminal data.

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Abstract

The application discloses a kind of based on narrowband Internet of Things IoT scene under the combination application method, equipment and medium of cloud computing and big data, belong to the cross technical field of cloud computing and big data, including: based on terminal identification, determine corresponding data analysis rule;Parsing processing is carried out to load data, and the unified format of thing model data is obtained;Determine target timestamp and time confidence;Quality management is carried out to thing model data, and unified quality mark is generated;From thing model data, determine the first data set to be stored, and carry out classification processing and storage;Based on publishing strategy, generate and output publishing view in response to query request.The application is by protocol mapping dictionary driven field level analysis management, three timestamp alignment available time sequence generation of credibility and hot and cold double rail partition storage and hierarchical publishing control, realize NB-IoT massive terminal data in cloud from intake to external service The whole link consistent management and traceable output of service.
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