Data debugging list generation method and device, equipment and storage medium

By generating a data debugging list, the problem of inefficient and poor accuracy of data debugging in the field of building digital twins is solved, the accuracy and targetedness of data debugging are achieved, the delivery efficiency is improved, and value is created for the delivery of building digital twins.

CN119721590APending Publication Date: 2025-03-28PERSAGY TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411784546.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

At present, data debugging work in the field of architectural digital twins faces many difficulties, including wide data sources, diverse formats and frequent updates, which leads to inefficient and error-prone traditional data debugging methods, making it difficult to deal with massive complex data. At the same time, there are differences in data requirements for different types of construction projects and application scenarios, and there is a lack of a general and highly targeted data debugging list generation method.

Method used

By obtaining IoT requirements instances, generating dynamic information requirements tables, and then generating a debug scope list, marking and updating them to generate a data debugging list. This method can clarify the data debugging list, guide staff to deliver on demand and accurately, and improve delivery efficiency.

Benefits of technology

This method can comprehensively sort out the Internet of Things requirements examples and information points, provide a clear foundation and direction for subsequent debugging work, clarify the specific scope and focus of debugging work, avoid unnecessary debugging work, improve debugging efficiency and accuracy, improve delivery efficiency, and create value for the delivery work of building digital twins.

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Abstract

The invention discloses a data debugging list generation method and device, equipment and a storage medium. Comprising the following steps: acquiring an Internet of Things demand instance, and generating a dynamic information demand table according to the Internet of Things demand instance; generating a debugging range list according to the dynamic information demand table; marking the debugging range list to generate a marked point location, and updating the debugging range list based on the marked point location to generate a data debugging list. The method can comprehensively sort the demand instances and information points of the Internet of Things, and provides a clear basis and direction for subsequent debugging work. By generating the debugging range list, the specific range and key point of debugging work can be determined, unnecessary debugging work can be avoided, and the debugging efficiency is improved. By marking the point location, a clear data debugging list can be found in the debugging range list, and the debugging accuracy and pertinence are improved. Therefore, workers are guided to deliver as required, delivery is accurate, delivery efficiency is improved, and value is created for delivery work of building digital twinning.
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