5 results about "Relative risk" patented technology

This application discloses a method, apparatus, equipment, and medium for predicting risks in chemical processes, relating to the field of deep learning technology. The method includes acquiring multi-source process data of a chemical process; preprocessing the multi-source process data to obtain preprocessed data; constructing a network model based on the preprocessed data; calculating the structural entropy of the network model to obtain network structural entropy; solving the network structural entropy to obtain a relative risk value sequence; and using a preset attention mechanism-bidirectional long short-term memory network model to predict the risk of the relative risk value sequence to obtain a risk prediction sequence for the chemical process. Through the above technical solution of this application, the accuracy of chemical process risk prediction can be increased, achieving intelligent risk early warning.

This invention discloses a method, apparatus, equipment, and storage medium for risk early warning of power contractors, belonging to the technical field of power contractor risk early warning. The invention includes four steps: Step 1: generating a risk profile of the power contractor; Step 2: quantitatively assessing the power contractor's risk resistance capability; Step 3: calculating the relative risk value of the power contractor enterprise; Step 4: based on pre-set thresholds as early warning conditions, issuing risk warnings to power contractors reaching high-risk and medium-risk levels, and outputting the relative risk value and indicator information for the warning; no warning is issued for low-risk contractors. This invention automates the entire process from data collection and classification of power contractor risk activities, generation of profile indicators, quantitative calculation and assessment, relative risk value calculation, and risk early warning. The entire process is based entirely on data-driven decision-making to achieve risk quantification and early warning, fully considering the relative numerical assessment of risk indicators and risk resistance capabilities, thus improving the accuracy of risk early warning.

The application discloses a hydrogen leakage situation prediction model modeling method and device, and the scheme is characterized in that: first, the measurement data of historical hydrogen leakage events, preset leakage risk index information and hierarchical system information between different leakage risk indexes are acquired; the first weight and the second weight of each leakage risk index information are calculated by using the entropy weight method and the analytic hierarchy process respectively; then, based on the first weight and the second weight, the relative distance degree between each leakage risk index and the worst solution of the index is determined by using the superior-inferior solution distance method, and a relative risk identification result is obtained; the highest risk event of hydrogen leakage in the relative risk identification result is subjected to fault tree decomposition, a plurality of basic component failure events of the highest risk event are obtained, and model training is performed by taking the measurement data as a training set, so that a hydrogen leakage situation prediction model is obtained, and the technical problem that the existing hydrogen leakage prevention and control cannot perform situation awareness on the space-time evolution of hydrogen leakage events is solved.

A gas pipeline leak detection technology and method, belonging to the interdisciplinary field of risk assessment and information technology, includes: collecting various parameters of the gas pipeline; based on the collected parameters, using an improved Kent evaluation model to adjust and score the first set of indicators for urban environmental adaptability, determining the weights of the adjusted indicators using the analytic hierarchy process (AHP), and calculating the relative risk value of each pipe segment unit in combination with a second index; simulating an accident using a leak scenario model based on leak scenario parameters, and outputting the accident simulation results; spatially overlaying the relative risk value and the accident simulation results on the same electronic map, and outputting emergency response measures. This invention achieves accurate risk assessment of urban gas pipeline networks by combining an improved Kent evaluation model with the AHP, and provides intuitive and scientific technical support for risk management and emergency decision-making in gas pipeline networks by combining multi-model fusion leak accident simulation and visualization technology.