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2 results about "Effect analysis" patented technology

The cause and effect analysis basically involves two key steps which are looking backward and looking forward. In looking backward, the analysis focuses on identifying areas in which mistakes were made or money was lost.

A method and apparatus for detecting the effect of a state reporting improvement measure

The application discloses a state report improvement measure effect detection method and device, belongs to the nuclear power field, aims to solve the problem that the traditional detection method is strong in subjectivity, low in efficiency and insufficient in data utilization. The application contains five steps of data collection, preprocessing, index calculation, effect detection and report generation. First, multi-source data such as operation logs and fault records are collected, stored after cleaning and standardization; then, key indexes such as event frequency, severity, average repair time and average fault interval time are calculated; through statistical and machine learning algorithms such as multivariate regression model, the index changes before and after improvement are compared; finally, a detection report containing index comparison, effect analysis and improvement suggestions is generated. The application realizes quantitative detection, improves the objectivity and efficiency of detection, provides data support for nuclear power station operation decision, helps to improve the operation safety and efficiency, and has good flexibility and expansibility.
Owner:HUANENG NUCLEAR ENERGY TECH RES INST CO LTD +1

Anomaly behavior detection method and system

PendingCN122347860AEngineeringCause effect analysis
The application relates to the technical field of construction safety detection, in particular to an abnormal behavior detection system and method. The system comprises a multi-modal perception layer, an edge processing layer, a behavior cognition reasoning engine, a dynamic risk assessment and early warning module and a visual management platform connected in sequence. The multi-modal perception layer collects visual, Internet of Things and environmental data; the edge processing layer performs real-time target detection, behavior preliminary classification and space-time registration; the behavior cognition reasoning engine realizes behavior understanding and intention prediction by constructing a space-time graph and fusing rule reasoning and a deep learning model, and integrates a cause-and-effect analysis submodule to perform root cause tracing; the risk assessment module dynamically calculates a risk level according to a reasoning result and triggers early warning, and deduces risk evolution by using a risk transmission simulator; and the visual management platform realizes three-dimensional display and emergency linkage, and continuously optimizes a model by feedback data driving. The application realizes real-time and accurate identification and closed-loop risk control of abnormal behaviors on a construction site.
Owner:BEIJING LISIDA NEW TECH CO LTD