Intelligent prediction and disinfection linkage system for workshop environment microbial deposition risk

By integrating intelligent prediction and disinfection systems, risk maps are generated by combining multi-dimensional environmental and dynamic behavioral data. High-risk areas are identified and targeted disinfection is carried out, which solves the problem of the separation between prediction and disinfection of workshop microbial sedimentation risk and achieves precise risk control and resource optimization.

CN122089094BActive Publication Date: 2026-07-21HUNAN SHUANGJIAO FOODSTUFF CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN SHUANGJIAO FOODSTUFF CO LTD
Filing Date
2026-04-24
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

The existing workshop environment microbial sedimentation risk prediction and disinfection control are disconnected, failing to form an intelligent closed loop. This results in blind and inefficient disinfection operations, making it impossible to achieve precise risk prevention and control and optimal resource allocation.

Method used

An intelligent prediction and disinfection linkage system is adopted. By integrating multi-dimensional environmental data and dynamic behavioral data, a microbial sedimentation risk map is generated, high-risk areas are identified and disinfection instructions are generated, targeted disinfection operations are executed, and the risk map is updated based on feedback data, forming an intelligent closed loop of perception-decision-execution-verification.

Benefits of technology

It has achieved precise integration from risk perception to execution, solved the problem of blind execution, and optimized risk prediction through feedback data, thereby improving the timeliness, accuracy and resource utilization efficiency of workshop microbial risk control.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of workshop environment, and in particular to an intelligent prediction and disinfection linkage system for microbial deposition risk in a workshop environment, comprising: a risk prediction module for performing fusion calculation on multi-dimensional environment data and dynamic behavior data collected in the workshop, obtaining a microbial deposition risk map, identifying a high-risk area in the microbial deposition risk map, and generating a disinfection instruction based on the high-risk area; and a risk disinfection module for performing a directional disinfection operation on the high-risk area according to the received disinfection instruction, and updating the microbial deposition risk map based on feedback data after the disinfection operation is completed, thereby solving the technical problem that microbial risk prediction and disinfection control in the existing workshop environment are disconnected from each other and cannot form an intelligent closed-loop linkage based on real-time risk perception.
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