31 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 belongs to the technical field of mine safety mixed reality interactive training, and particularly provides a mine safety training detection method and system based on mixed reality, and the method mainly comprises the steps: obtaining a mine basic data set, and generating enhanced safety constraint boundary data according to the mine basic data set; generating environmental risk features according to the enhanced security constraint boundary data; generating security behavior features according to the enhanced security constraint boundary data and the environmental risk features; generating risk evolution characteristics according to the environmental risk characteristics and the safety behavior characteristics; generating emergency response characteristics according to the safety behavior characteristics and the risk evolution characteristics; and generating a dynamic risk visualization picture according to the risk evolution characteristics and the emergency response characteristics. According to the method, training scene dynamic, operation behavior compliance detection automation and risk evolution process visualization are realized, and safety training effectiveness and emergency processing capability are improved.

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.

Aspects of the subject disclosure may include, for example, receiving environmental data from a plurality of environmental data sources, identifying environmental risks based on the environmental data, obtaining profile information relating to a user or entity, based on the obtaining the profile information and the identifying the environmental risks, generating a recommendation for one or more locations of possible interest, and causing the recommendation to be presented to the user or entity, thereby providing location-based environmental risk information that is customized on a per user or per entity basis. Other embodiments are disclosed.

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 embodiment of the present invention provides an environmental risk identification method for the site selection of a coating plant, obtaining an adjacency matrix N*M of a target area, wherein the target area includes a target address and a reference address, and the adjacency matrix includes a central matrix unit corresponding to the target address and an adjacency matrix unit corresponding to the reference address, and each matrix unit in the adjacency matrix corresponds to a historical environmental data B i,j∈N*M , B i,j∈N*M The table is the environmental data of the address corresponding to the jth matrix unit in the N*M matrix units at the i-th time point; the spatiotemporal features of the adjacency matrix N*M are extracted to obtain the spatiotemporal features of the adjacency matrix; based on the spatiotemporal matrix, the environmental risk of the target address is predicted to obtain the environmental risk identification result of the target address. The present invention solves the problem that the existing method does not take into account the evaluation of the health risk of the human body after the pollutants are released into the environment, does not take into account other factors that lead to the occurrence of risk events, and has a greater impact on the environment during the construction and operation of the coating plant.

The invention discloses a risk grade division method and device for an environment where a target object is located. The method comprises the following steps: determining a comprehensive damage result of environmental risk substances involved in a life cycle of the target object to a health and ecological system; quantifying the multiple pieces of sensitivity index data related to the target object, and determining a comprehensive sensitivity coefficient according to the multiple pieces of quantified sensitivity index data; according to the comprehensive damage result and the comprehensive sensitivity coefficient, determining a hazard value of an environment risk substance to the environment where the target object is located; and obtaining the probability of occurrence of the environmental risk event of the target object, and dividing the risk level of the environment where the target object is located according to the probability of occurrence and the hazard value. According to the method, the risk level of the environment where the target object is located can be accurately and comprehensively divided, so that the effectiveness of accident prevention and emergency response can be improved, and a scientific basis is provided for environmental safety management.

The invention discloses a risk evaluation method and system for a coal mine ecological environment. The method comprises the following steps: determining a risk control stage corresponding to each risk source, and determining preset evaluation values of different risk elements of each risk source in the corresponding risk control stage; determining a risk weight of each risk element of each risk source relative to a preset risk control target; and determining a comprehensive evaluation value of each risk element in the corresponding risk control stage according to the preset evaluation value and the risk weight of each risk element. According to the invention, by analyzing the risk factors of the ecological geological environment of the coal mine and dividing according to the mining stages, a targeted risk control target can be provided, which not only helps a mine manager to identify main risks in different stages, but also can effectively improve the efficiency and accuracy of risk management, thereby ensuring the safe proceeding of mining activities.

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 invention discloses a risk assessment result generation method and device, a storage medium and an electronic device, and relates to the technical field of environment risk assessment, and the method comprises the steps: classifying the collected environment data of an offshore wind plant, and obtaining various types of environment risk data; determining a first environmental factor corresponding to first environmental risk data, calculating a first risk value of the first environmental factor according to a first risk category corresponding to the first environmental factor and the first environmental risk data, and obtaining target risk values corresponding to all environmental factors based on the first risk value, the first environmental risk data is obtained from the various environmental risk data; and generating a risk assessment result according to a comparison result of the target risk value and the risk threshold, and by adopting the technical scheme, the technical problem that the accuracy of the risk assessment result of the offshore wind plant is relatively low is solved.

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 provides a construction site environment influence assessment method, and relates to the technical field of environment influence assessment, and the method specifically comprises the steps: dividing a to-be-assessed construction site into n sub-regions in an equal area manner, numbering the n sub-regions, collecting the water quality parameters and soil quality parameters of each region, and obtaining the illumination intensity, vibration intensity and noise level data. And generating an environmental interference index and an ecological influence index of each sub-region based on the data after the dimensionless processing. And constructing an environment evaluation model to obtain an environment evaluation index of each sub-region. And correcting the environment evaluation index by using the air quality parameter. And generating a comprehensive evaluation index according to the average environment evaluation index and the standard deviation thereof. And dynamically correcting a preset environment evaluation threshold value by using the average wind speed and the precipitation amount, and comparing the comprehensive evaluation index with a correction value, so as to evaluate the environment influence of the construction site. The environment risk can be recognized in time, and a scientific basis is provided for construction management decisions.

The invention discloses an electric 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. According to the scheme, the risk characteristics of the high-altitude operation point are constructed through the environment data and the operation data, the environment risk characteristics and the conduction risk characteristics are coupled to obtain the composite risk characteristics, and finally the defense strategy is generated based on the composite risk characteristics for reference of the ground command center, so that superposed risks caused by a strong electric field and a complex humidity and temperature environment can be effectively dealt with; compared with the traditional anti-falling protection, the anti-falling protection system has the advantages that real-time sensing, intelligent evaluation, active early warning and dynamic protection of key environmental hazard factors are realized, so that ground commanders are helped to quickly make decisions, and the intrinsic safety level of electric power overhead working personnel is remarkably improved.

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 an evaluation method for pipeline pressure occupation and surrounding environment risk grades, and the method comprises the following specific operation steps: S1, collecting three types of risk grading management and control evaluation indexes, including a pipeline pressure occupation type, a pipeline surrounding environment type and a pipeline basic management type, of a to-be-evaluated pipeline, s2, setting risk grade classification, and executing corresponding risk prevention and control operation in combination with a weighted comprehensive score result of the specified evaluation indexes of the pipeline, so as to obtain a comprehensive score Q of the specified evaluation indexes of the pipeline according to the score result Pi of the M risk grade management and control evaluation indexes and a calculation formula of # imgabs0 #; and S2, setting risk grade classification, and executing corresponding risk prevention and control operation in combination with the weighted comprehensive score result of the specified evaluation indexes of the pipeline. And S2, in the operation process of the step S2, according to the weighted comprehensive score result of the specified evaluation index of the pipeline, determining the pipeline pressure and surrounding environment risk grade, and according to the detailed evaluation result of the specified evaluation index of the pipeline, executing the corresponding risk prevention and control operation. The personal injury risk can be reduced.

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.

Aspects of the subject disclosure may include, for example, receiving environmental data from a plurality of environmental data sources, identifying environmental risks based on the environmental data, obtaining profile information relating to a user or entity, based on the obtaining the profile information and the identifying the environmental risks, generating a recommendation for one or more locations of possible interest, and causing the recommendation to be presented to the user or entity, thereby providing location-based environmental risk information that is customized on a per user or per entity basis. Other embodiments are disclosed.

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 invention provides an underwater Internet of Things facility data security protection method and system, a medium and a server, and relates to the technical field of underwater Internet of Things data security, and the method comprises the steps: deploying corresponding edge nodes on an underwater Internet of Things facility, collecting the environmental data of the facility through employing each edge node, and storing the environmental data in a server; calculating underwater environment risk degrees of all underwater Internet of Things facilities based on the environment data; whether the k-th underwater environment risk degree is larger than a preset early warning threshold value or not is judged, if yes, operation data stored in the k-th underwater Internet of Things facility are acquired and encrypted, and the encrypted data are transmitted to a server; and if not, updating the (k + 1) th underwater environment risk degree to the kth underwater environment risk degree, and continuing to execute the step of risk assessment until all the underwater environment risk degrees are traversed. According to the invention, the protection degree of the data stored in the underwater Internet of Things facility can be improved.

The present invention relates to the technical field of environmental management, specifically a method and system for marine environmental risk assessment based on multi-source data fusion, including the following steps: Based on multi-source marine environmental monitoring data, evaluate the data integrity, consistency, and timeliness of multiple data sources, calculate the effectiveness scores of multiple data sources, and adjust the contribution ratio of the target data source to generate a multi-source data fusion model. In the present invention, by analyzing the effectiveness of multiple data sources, the adjustment of data source contributions is realized, the dynamic adaptability and flexibility of data fusion are optimized, the accuracy and timeliness of marine environmental risk assessment are improved, the detection and identification of abnormal data of multiple environmental indicators are realized by combining the analysis of water quality-related indicators and temperature data, and by analyzing marine development activity events, a decision-making basis is provided for the adjustment of marine management policies. Combining the prediction of marine biodiversity, the accurate assessment of marine environmental risks is realized.

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.

The invention discloses a stable and suitable coordination method, equipment, medium and product for mountain, water, forest, lake, grass and sand in a watershed, and relates to the field of ecological hydrological protection and governance, and the method comprises the following steps: carrying out grid processing on a research area, dividing the watershed into a plurality of research units, and according to watershed basic data corresponding to each research unit, calculating the watershed basic data corresponding to each research unit; a multi-objective optimization model for the inland river basin is constructed by taking ecological optimization and hydrological function balance optimization as objectives, grain and livestock yield maximization as objectives, water resource distribution efficiency optimization as objectives, environmental restoration cost minimization as objectives, social change minimization as objectives and environmental risk minimization as objectives; and solving the model through a hybrid algorithm combining a genetic algorithm and a particle swarm optimization algorithm to obtain a stable and suitable coordination result of the watershed mountain, water, forest, lake, grass and sand. According to the method, overall optimization and dynamic coordination of multiple elements on the watershed scale can be achieved, and the long-term stability and suitability requirements of a complex watershed ecological system are met.

Computer device for environmental risk prediction