7 results about "Environmental risk" patented technology

Systems, methods, and computer-readable storage media for forecasting the impact of climate change, and more specifically to the impact on water quality and / or quantity. The system receives, from a plurality of sensors within a predefined geographic area, environmental data. The system normalizes the environmental data and executes an artificial intelligence algorithm, where inputs to the artificial intelligence algorithm include the normalized environmental data, and outputs of the artificial intelligence algorithm include environmental risks, consequences, and probabilities associated with at least one environmental event. The system then modifies a planned project using the environmental risks, consequences, and probabilities associated with the at least one environmental event.

This invention provides a method for characterizing the risks of the preservation environment for museum collections, comprising the following steps: S1, constructing a risk characterization system and acquiring information on the museum collections and the environment; S2, acquiring environmental variables and environmental risk indicators, and identifying key environmental variables; S3, constructing an environmental risk status classification model and acquiring preset classification control limits; S4, acquiring several real-time environmental variables and determining the classification control limits at the current moment; S5, comparing the current classification control limits with the preset classification control limits to determine the current risk status classification and generate a risk control QR code; S6, displaying the generated QR code on a museum collection terminal device. Through the above steps, this invention can quantify and classify the risks of the preservation environment for museum collections and characterize them quickly and intuitively, enabling managers to promptly and fully grasp the risk status of the preservation environment, facilitating timely risk management, and improving the risk prevention, control, and protection capabilities for museum collections.

The present application relates to the technical field of risk early warning, and discloses a kind of basin ecological environment risk early warning method, comprising the following steps: obtaining meteorological hydrology, water quality soil and biological behavior high-frequency time series data in target basin;Based on the ecological characteristics of target basin, determine the key risk indicators and weights;According to the time delay embedding theorem, the key risk indicators are embedded in the ecological phase space, and the distance between the distribution of the ecological state of the target basin and the historical equilibrium state attractor is calculated to determine the critical distance index;Based on the critical distance index, combined with the phase transition classification threshold, the early warning level of the ecological environment of the target basin is determined, and the real-time early warning atlas and response decision of the target basin can be visualized.The present application solves the defects of the existing basin ecological environment risk early warning method in data utilization, model adaptability, index scientificity, spatial precision and emergency response, etc., and realizes the whole-chain optimization of ecological risk from identification to disposal.

The application provides a safety monitoring method and system applied to small reservoir dams, belongs to the field of water conservancy engineering management, and is used for solving the problem of difficult timely, comprehensive and accurate evaluation of the safety risk of small reservoir dams in the related art, can comprehensively analyze the risk situation of the small reservoir dam from multiple dimensions of real-time seepage flow, seepage pressure and surface deformation, determine the environmental risk influence through the environmental monitoring data, determine the trend risk influence through the seepage flow, seepage pressure and surface deformation, and finally determine the comprehensive risk value, so that the safety risk situation of the dam can be timely, comprehensively and accurately evaluated, and the management work of the dam can be better performed, so as to protect the life and property safety of the downstream people.

The invention discloses a hoisting method for equipment parts, and particularly relates to the technical field of hoisting, which comprises the following steps of: 1, compiling a hoisting scheme and a risk control list according to weight, gravity center, shape, height and environmental risk; 2, checking the equipment, and confirming the weight, the gravity center position, the lifting point strength, the transportation state and whether the detachable part needs to be unloaded or not; 3, checking the tool, checking a crane, a gantry crane, a steel wire rope, a shackle, a lifting belt, a balance beam, a clamping ring, a rotary lifting ring, an anti-falling rope clamp, a guide rope, a limiting stopper and a torque wrench, checking a certification, a point inspection record and a scrapping criterion, and confirming that the tool can be normally used and work; 4, the environment is confirmed, and the soil endurance, the supporting leg sole timber, the wind speed, the illumination, the obstacles and the electrical safety distance are confirmed. The hoisting safety is extremely high, the probability of danger in the equipment part hoisting process can be remarkably reduced, and the practical application effect is good.

This invention relates to the field of artificial intelligence technology and discloses a method for identifying marine environmental risks based on big data. The method includes: standardizing marine environmental monitoring data to obtain a standardized dataset of the ocean; performing correlation analysis on the standardized dataset based on a pre-set risk knowledge base to obtain risk correlation features of the ocean; constructing a topology of the risk correlation features based on historical risk events of the ocean to obtain an environmental risk feature map of the ocean; tracking the trajectory of the environmental risk feature map to obtain the spatiotemporal evolution path of the ocean; simulating the spatiotemporal evolution path to obtain a risk evolution trajectory report of the ocean; and comprehensively evaluating the risk evolution trajectory report to obtain the risk level and early warning information of the ocean. This invention can improve the efficiency of marine environmental risk identification based on big data.

Computer device for environmental risk prediction