A multi-source heterogeneous data processing and collaborative decision-making computing system and processing method of an urban renewal intelligent construction management platform

By constructing a multi-source heterogeneous data processing system for an intelligent construction management platform for urban renewal, and utilizing dynamic risk fields and causal reasoning, a unified state representation and real-time collaborative decision-making of the construction site are achieved. This solves the problem that risk fields and causal reasoning are not effectively utilized in existing technologies, and improves the risk management capabilities of the construction site.

CN121810076BActive Publication Date: 2026-06-09SHANDONG CAIWANG CONSTR CO LTD

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG CAIWANG CONSTR CO LTD
Filing Date
2026-03-05
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The existing intelligent construction management system for construction sites lacks a unified data state modeling mechanism, which results in the risk field not being used as a unified state space, lacking multi-device collaborative control capabilities, and causal reasoning not participating in real-time decision generation, making it impossible to achieve proactive and predictive collaborative control.

Method used

Construct a multi-source heterogeneous data processing system to uniformly represent environmental, structural, personnel, and equipment risks through a dynamic risk field. Combine causal reasoning and multi-agent collaborative decision-making to form a complete control closed loop, enabling real-time risk situation analysis and collaborative decision-making.

Benefits of technology

It realizes multi-device collaborative control in a unified state space, can predict risk evolution trends, avoid decision conflicts, improve the pertinence and response speed of decision-making, and form a new paradigm of proactive and predictive collaborative control.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to a kind of urban renewal intelligent construction management platform multi-source heterogeneous data processing and collaborative decision-making computing system and processing method, to data processing is not unified, decision lags behind, multiple device collaboration and other problems when electric digital data processing.Data is processed by the access and processing of multi-source heterogeneous data, a dynamic risk field is constructed, different risk information is uniformly represented and updated over time.Based on the risk field, a causal relationship model between risk factors is constructed, the risk evolution trend is analyzed, and the possible chain reaction is predicted to provide basis for decision-making.The system generates decision results through the multi-agent collaborative decision-making module, and the decision results are dynamically adjusted through the decision strategy adaptive optimization module to continuously adapt and optimize the construction site environment and operation demand.The present application provides an intelligent and efficient construction site platform management solution, which significantly improves the decision accuracy and system robustness.
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