17 results about "Environmental risk" patented technology

The invention provides a safety monitoring method and system applied to a small reservoir dam, belongs to the field of water conservancy project management, and is used for solving the problem that the safety risk of the small and medium reservoir dam is difficult to evaluate timely, comprehensively and accurately in the related technology. Risk conditions of a small reservoir dam can be comprehensively analyzed from multiple dimensions of real-time ground seepage flow, seepage pressure and surface deformation conditions, environmental risk influences are determined through environmental monitoring data, trend risk influences are determined through the seepage flow, the seepage pressure and the surface deformation conditions, and finally a comprehensive risk value is determined. The comprehensive risk value can evaluate the safety risk condition of the dam in time, comprehensively and accurately, which is beneficial to better execution of dam management work so as to guarantee the life and property safety of downstream people.

The invention relates to the technical field of risk early warning, and discloses a drainage basin ecological environment risk early warning method, which comprises the following steps of: obtaining meteorological hydrology, water quality soil and biological behavior high-frequency time sequence data in a target drainage basin; determining key risk indexes and weights based on the ecological characteristics of the target drainage basin; according to the time delay embedding theorem, the key risk indexes are embedded into the ecological phase space, the distribution distance between the ecological state of the target drainage basin and historical equilibrium state attractors is calculated, and a critical distance index is determined; and based on the critical distance index, determining the early warning level of the ecological environment of the target drainage basin in combination with a phase change grading threshold, and visualizing the real-time early warning map and coping decision of the target drainage basin. The drainage basin ecological environment risk early warning method overcomes the defects of an existing drainage basin ecological environment risk early warning method in the aspects of data utilization, model adaptability, index scientificity, space accuracy, emergency response and the like, and full-chain optimization of ecological risks from identification to disposal is achieved.

The invention discloses an environmental risk reasoning method and system based on an environmental protection intelligent management and control platform, and the method comprises the steps: retrieving historical environmental risk instances based on the production attributes of a target industrial park, and extracting a feature analysis evolution process of the historical environmental risk instances to generate a risk evolution feature set; and deeply mining a cascading relationship in the feature set, constructing a risk evolution feature domain and a risk cascading feature domain, and fusing into an environment risk knowledge graph. And establishing an inference model by using the atlas, and deducing the environment risk situation through real-time sensor data. And when the risk is identified, calling a preset strategy to carry out Monte Carlo intervention simulation and optimize the regulation and control scheme. A regulation and control response network is constructed according to equipment layout, weak areas are identified through efficiency characteristic analysis to generate network optimization suggestions, and closed-loop optimization of a management and control system is realized. Therefore, environment management is promoted to be converted from passive response to active foreseeing and from single-point management and control to system regulation and control, and the overall efficiency and the intelligent level of regional environment risk control are improved.

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 invention discloses a cultural relic environment monitoring method, device and equipment, a medium and a product. The method comprises the following steps: determining a single parameter risk level corresponding to a current environment parameter according to a monitoring value of the current environment parameter at any moment; wherein the environmental parameters and the parameter value range corresponding to each single parameter risk level of the environmental parameters are determined according to cultural relic attributes; the cultural relic attributes comprise the grade, the material, the climate zone and the state of the cultural relic; wherein the states comprise repair, storage, exhibition and transportation; determining a dynamic single parameter risk of the current environment parameter in the time window according to the duration and the change frequency of each single parameter risk level of the current environment parameter in the time window; and determining a multi-factor comprehensive risk of the cultural relic in the time window according to the dynamic single parameter risk of each environment parameter in the time window. According to the embodiment of the invention, the risk of the environment where the cultural relics are located can be accurately, comprehensively and dynamically evaluated.

The present application belongs to the field of grassland restoration, and discloses a kind of restoration method of degraded grassland, and the specific steps are 1) identifying the different sedimentary facies structure characteristics of vertical stratum in research area;2) the characteristics of grassland degradation indicator plant in research area are studied, and the degradation degree is divided;3) analysis of grassland degradation geological mechanism, including analysis of the influence of topography on the distribution of Stellera chamaejasme, and the synergistic or antagonistic main control factor of the influence of sedimentary facies change on the growth of indicator plant;4) construct the grassland degradation model based on the sedimentary facies constraint of similar habitat conditions based on the concept of geology;5) indoor grass seed screening based on drought resistance coefficient;6) demonstration area mixed planting tank planting, and the comprehensive management method of degraded grassland is proposed.The present application starts from the root of degraded grassland, based on the background condition of ecological geological environment, follows the principle of adapting measures to local conditions, scientifically selects suitable grass seeds, adheres to the correct support of artificial and the guidance of ecological system natural restoration, and ensures the minimum economic and environmental risk of ecological protection and restoration.

The invention discloses a water quality-water quantity-ecology coupled groundwater environment risk early warning method, and belongs to the technical field of groundwater resource management and ecological environment protection. According to the method, an underground water environmental risk early warning PQLRT model is constructed based on five types of underground water environmental risk early warning indexes, namely an underground water pollution risk P, an underground water quality change trend Q, an underground water level change trend L, an ecological risk R and an ecological evolution trend T; giving grade values 1-3 to the five types of early warning indexes respectively; carrying out weighted summation on the five index equal weights to form an underground water environment risk score; and according to the underground water environment risk score, an equal-distance grading method is adopted to divide into five early warning levels: no alarm, light alarm, medium alarm, heavy alarm and huge alarm. According to the invention, based on multi-source data fusion and factor weight construction, multi-dimensional risk identification, graded early warning and driving element determination of underground water environment risks are realized, and technical support is provided for sustainable utilization and ecological safety management of underground water resources.

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.

The application provides an underwater Internet of Things facility data security protection method, system, medium and server, relates to the technical field of underwater Internet of Things data security, and the method comprises the following steps: deploying corresponding edge nodes on underwater Internet of Things facilities, collecting environmental data of the facilities by using the edge nodes, calculating the underwater environmental risk degree of all underwater Internet of Things facilities based on the environmental data, judging whether the kth underwater environmental risk degree is greater than a preset warning threshold, if yes, acquiring running data stored in the kth underwater Internet of Things facility and encrypting, and transmitting the encrypted data to a server, if no, updating the k+1th underwater environmental risk degree to the kth underwater environmental risk degree, and continuing to perform the risk assessment step until all underwater environmental risk degrees are traversed. The application can improve the protection degree of the data stored in the underwater Internet of Things facility.

The invention provides a safety reminding method, system and equipment based on environmental perception and a medium. The method comprises the following steps: acquiring various environmental parameters of different dimensions of an environment in which a monitored object is located; based on a preset weight coefficient, performing fusion calculation according to the various environmental parameters to obtain a comprehensive risk index representing the overall risk of the environment; the weight coefficient is used for reflecting the influence degree of the environmental parameters on the overall environmental risk; determining the risk level of the current environment according to the comprehensive risk index and a comparison result between the numerical value of the at least one environmental parameter and a preset risk threshold value; and executing a corresponding reminding operation according to the risk level. According to the invention, active and intelligent safety monitoring and intervention on the environment where the monitored object is located are realized, and the accuracy and safety of risk identification are improved.

Provided herein are systems and methods that include, for example, using historical water data to advantageously assess environmental risk to a selected location or area at a present or future time created by the presence of one or more pollutants or other materials. In some aspects, this comprises receiving information regarding the selected location or area, receiving a first type of historical water quality data associated with the selected location or area, receiving a second type of historical water quality data associated with the selected location or area, wherein the second type of historical water quality data is different than the first type of historical water quality data, and providing an indication of environmental risk for a selected time or time period based on, at least in part, the first type of historical water quality data and the second type of historical water quality data.

The application discloses a power high-altitude operation defense method and system based on an intelligent safety belt, and a medium; relates to the technical field of operation risk prevention; and the scheme constructs the risk characteristics of a high-altitude operation point through environment data and operation data, couples the environment risk characteristics and the conduction risk characteristics to obtain composite risk characteristics, finally generates a defense strategy based on the composite risk characteristics for the reference of a ground command center, can effectively cope with the superimposed risks brought by strong electric fields, complex humidity and temperature environments, exceeds the category of traditional anti-falling protection, realizes real-time perception, intelligent evaluation, active early warning and dynamic protection of key environmental hazard factors, and thus helps ground command personnel to make rapid decisions, and significantly improves the essential safety level of power high-altitude operation personnel.

Computer device for environmental risk prediction