64 results about "Environmental risk assessment" patented technology

The invention discloses a distributed intelligent control method for unmanned aerial vehicle cluster cooperative path planning, and relates to the technical field of unmanned aerial vehicle cluster cooperative control, and the method comprises the steps: collecting a dynamic feature set of an unmanned aerial vehicle in real time, and carrying out the time synchronization, noise filtering and formatting integration, and forming a local state data set; performing neighborhood collaborative analysis and temporary link planning on the local state data set to obtain relay chain layout data; performing environmental risk assessment and path feasibility analysis on the relay chain layout data to generate a candidate path set; adjusting the candidate path set through local obstacle avoidance and dynamic constraint to generate an executable path sequence, and generating a collaborative execution path through neighborhood communication and collaborative adjustment; performing task execution result integration and state updating on the collaborative execution path to generate group state data; and performing path feedback and loop optimization on the group state data to obtain a group collaboration result. And the task completion rate, the cooperation efficiency and the environment adaptability are improved.

The invention discloses a distribution box room environment parameter integrated measurement method, and particularly relates to the field of multi-parameter measurement, and the method comprises the steps: firstly constructing a machine room three-dimensional model and a sensor correlation degree matrix, then building a heat balance, humidity diffusion and airflow motion model, and calibrating parameters; deploying a measurement system and calibrating through dual synchronization and cross check; establishing a sensor confidence evaluation system and an adaptive threshold based on 72-hour reference data; fusing calibration data by adopting a three-level correlation calibration mechanism; four types of measurement modes and conversion logics are designed, and measurement resources are dynamically allocated through environmental risk assessment; multi-dimensional state parameters are extracted, a comprehensive evaluation value is calculated through normalization, dynamic weighting and combinatorial algorithms, and five-level early warning response is achieved; according to the method, multiple models and an intelligent algorithm are integrated, the parameter measurement precision and the environment risk identification efficiency are improved, the response delay is reduced, the fault diagnosis accuracy is improved, and reliable technical support is provided for safe operation and maintenance of the distribution box room.

The invention provides a sedimentary strata three-dimensional geology construction method and system integrating carbon footprint evaluation and intelligent block modeling, and relates to the field of energy and geology. According to the method, carbon footprint evaluation and sedimentary stratum three-dimensional geological construction are organically fused, so that full-process integration of data acquisition, dynamic partitioning, spatial reconstruction and low-carbon scheduling is realized, and the bottlenecks that data and carbon emission information are separated and model precision and energy consumption control are difficult to balance in the traditional technology are broken through; the real-time performance of fine expression of geological structures and environmental risk assessment is greatly improved, and more quantitative and intelligent technical support is provided for carbon capture site selection and green exploration decision.

The invention provides an intelligent warehouse management method based on a WMS, and relates to the technical field of intelligent warehouse, and the method comprises the following steps: 1, environment risk quantitative management: firstly, collecting warehouse environment data through an Internet of Things sensor network integrated by the WMS; then establishing an environmental risk evaluation model, and calculating the risk coefficient of each storage location; according to the invention, an end-to-end smart warehouse management closed loop is constructed through an environmental risk quantification model, a dynamic scheduling decision, multi-party collaborative auditing and dominant cost control; wherein discrete monitoring data is converted into a linkage scheduling instruction, and the splitting state of risk perception and disposal in a traditional WMS is broken; the problem of quality loss caused by single-dimensional scheduling is solved through a two-dimensional decision rule fusing the environmental risk and the service emergency degree; multi-party data mutual trust is realized based on an alliance chain, and a cross-mechanism collaboration barrier is eliminated; and through a risk quantification cost model, the implicit disposal cost is visualized.

This invention discloses an adaptive zoning management method for water environment pollutants based on differences in ecosystem service functions, belonging to the field of environmental risk assessment and pollutant management technology. The method includes the following steps: S1, ecosystem service function zone division; S2, establishment of a candidate pollutant inventory and concentration measurement; S3, construction of a differentiated multi-criteria evaluation system; S4, comprehensive subjective and objective weighting, determining the weights of each evaluation indicator for each ecosystem service function zone using a comprehensive subjective and objective weighting method; S5, pollutant priority ranking and inventory generation; S6, implementation of differentiated management measures. This invention, by constructing a zoning assessment framework and integrating multi-criteria decision analysis and a mixed subjective and objective weighting model, achieves accurate identification and scientific ranking of the environmental and health risks of pollutants in different functional zones. By generating a differentiated priority management inventory for each zone, it achieves the technical effect of transforming from unified supervision to precise adaptive management.

The invention belongs to the field of oil and gas storage and transportation, particularly relates to a calculation method and system for the volatile gas amount of a condensate oil storage tank and electronic equipment, and aims to solve the problem that an existing calculation method for the volatile gas amount of the condensate oil storage tank is large in deviation. The method comprises the following steps: carrying out physical property analysis on condensate oil to obtain condensate oil physical property analysis parameters under conventional normal pressure; utilizing a density model and a viscosity model in simulation software to regress the physical property analysis parameters under the normal pressure to physical property regression parameters under working conditions; the activity coefficient of each component is obtained based on the physical property regression parameters, and the molar volume of each component in the gas phase at the working condition temperature is obtained based on the activity coefficient of each component; and obtaining the molar volumes of all the components in the gas phase at the working condition temperature based on the molar volume of each component in the gas phase at the working condition temperature. According to the invention, the volatile gas amount of the storage tank is truly reflected, and data support is provided for large-tank gas extractor type selection and environmental protection risk assessment.

The invention relates to a dynamic hierarchical account permission control method and system. The method comprises the following steps: collecting user behavior data and environmental risk factors; based on a pre-trained behavior analysis model, modeling the user behavior data to obtain a behavior deviation degree at the current moment; based on a preset environment risk assessment model, analyzing the environment risk factor, and determining an environment risk value of the current login environment; determining a dynamic authority coefficient according to the behavior deviation degree and the environmental risk value; target level permission configuration is determined based on the dynamic permission coefficient and a preset permission template, the current permission of the user is adjusted according to the target level permission configuration, and when it is detected that the user behavior is abnormal or the environmental risk is increased, automatic permission degradation or locking can be achieved.

The present application relates to network operation and maintenance supervision technical field, especially in network operation and maintenance environment risk assessment method and system based on quasi-state security technology, its method includes: network operation and maintenance environment data are gathered and preprocessed, and standardization security data is generated;Through real quasi-state analysis and active challenge quasi-state analysis, abnormal feature data and disturbance response data are extracted, and associated threat feature data is fused and generated;Based on the associated threat feature data, a heterogeneous twin model is constructed, state modeling, threat modeling and resource modeling are performed, and risk assessment data is generated;The optimal response strategy is generated through the multi-objective optimization algorithm, including flow control, node isolation and resource scheduling, and the risk state is dynamically updated through the feedback control mechanism.The present application improves the risk assessment accuracy and security defense level of network operation and maintenance environment through dynamic threat identification and real-time optimization response, and has the characteristics of high efficiency, intelligence and dynamics.

The invention discloses an outdoor exercise risk intelligent assessment method and system, and relates to the technical field of exercise risk assessment. An intelligent assessment system for outdoor exercise risks comprises a data acquisition and processing module, a physiological risk assessment module, a state risk assessment module, an environment risk assessment module and a comprehensive assessment and processing module. According to the invention, the preprocessed motion state data is segmented based on the preprocessed surrounding environment data, and the motion state of the user is evaluated according to the historical outdoor motion data and the segmented motion state data. According to the intelligent assessment method and system for the outdoor exercise risk, the mental or fatigue state of the user during outdoor exercise can be quantified under the condition that the influence of surrounding environmental factors is eliminated, so that the change of the outdoor exercise risk caused by the poor mental state and muscle fatigue of the user is accurately assessed, and the assessment comprehensiveness of the intelligent assessment method and system for the outdoor exercise risk is improved.

The invention relates to a shaft rescue multi-mode converged communication system and method. The method comprises the following steps: collecting multi-modal data of a shaft rescue site; preprocessing the multi-modal data to obtain the preprocessed multi-modal data; performing feature extraction on the preprocessed multi-modal data to obtain multi-modal feature data; carrying out attention mechanism weighted fusion on the multi-modal feature data to generate fused multi-modal feature data; entropy coding compression processing is carried out on the fused multi-modal feature data to obtain compressed multi-modal feature data; and encoding the compressed multi-modal feature data to obtain encoded multi-modal feature data, and transmitting the encoded multi-modal feature data to a ground command center. And the ground command center analyzes the data and outputs a trapped person state, environment risk assessment and a rescue strategy. By adopting the method, stable and efficient multi-information transmission can be realized, support is provided for rescue decision, and the rescue efficiency and success rate are improved.

The application discloses a cross-medium area comprehensive environmental risk assessment method fusing an atmospheric and water risk field, relates to the technical field of environmental assessment, and comprises the following steps: based on environmental risk assessment requirements, constructing a cross-medium time sequence anchoring zone, forming a unified time axis by fusing wind field data and water flow data, extracting a phase difference of a pollutant concentration peak section, and generating a phase index list. The application realizes time, space and energy coupling analysis of air and water body risk processes by constructing a cross-medium time sequence anchoring zone, a spatial superposition kernel list and a gas-liquid exchange channel fingerprint, dynamically tracks a risk transmission path and identifies an energy aggregation area; meanwhile, the application realizes active dispersion and dynamic balance of risk energy by coupling abnormal spectrum energy budget and a breathing type phase inversion traction, and effectively improves the accuracy of risk assessment and the stability of an environmental system.

The invention provides a dynamic regulation and control method and device for regulation and control parameters of a poultry egg fresh-keeping environment. The method comprises the following steps: establishing a poultry egg quality digital twinborn model; monitoring the multi-dimensional parameters, identifying the fluctuation mode of the multi-dimensional parameters, and evaluating the influence degree of the fluctuation mode on the attenuation rate of the fresh-keeping quality of the poultry eggs to obtain environmental risk evaluation data; fusing the environment risk assessment data, the historical fresh-keeping data and the current environment parameters to construct an intelligent decision model, and generating an environment regulation and control strategy; adjusting storage environment parameters according to the environment regulation and control strategy; collecting egg quality change data and environmental risk index change after regulation and control, evaluating the effect of an environmental regulation and control strategy, and feeding back a risk reduction degree evaluation result to the digital twinborn model; and updating an environment risk identification model and an environment regulation and control strategy based on the accumulated risk assessment data, regulation and control data and fresh-keeping effect data. According to the invention, the fresh-keeping effect is improved, the storage life is prolonged, and the precision and response speed of environment monitoring are improved.

The application provides a shelter emergency power supply processing method and system suitable for extreme environments. The extreme condition parameters of the environment where the shelter is located are detected and recorded, and an environment risk assessment report is generated. According to the environment risk assessment report, the load distribution ratio between the main power supply and the backup power supply is dynamically adjusted, the internal circuit of the power supply system is analyzed for thermal management, and an optimized power distribution scheme is generated. When the system detects an emergency in the shelter, an emergency response mechanism is immediately started, and an emergency power distribution adjustment record is generated. After the extreme environmental conditions are alleviated, a comprehensive power supply system health check is performed using the emergency power distribution adjustment record, and a detailed maintenance report is generated. The technical solution provided by the application improves the reliability and stability of the power supply system, improves the emergency response capability, ensures the power supply of critical equipment, reduces the maintenance cost, and improves the energy utilization efficiency.

The application relates to the technical field of environmental risk assessment, in particular to a water environment micro-plastic risk assessment method under multiple environmental factors, which comprises the following steps: constructing a micro-plastic pollution database and a multiple environmental factor resource database; pre-processing and feature engineering are performed on original data, core environmental driving factors are screened, and a standardized modeling data set is formed; a risk assessment model is constructed by fusing a harmful outcome path framework, a micro-plastic risk quantitative value is calculated by a weighted comprehensive index method or a machine learning algorithm; a final risk grade is determined in combination with a risk grade division standard and a toxic polymer adjustment mechanism, and an environmental management decision suggestion is output. The application solves the problems of single evaluation index, insufficient consideration of environmental factors, weak machine interpretation and insufficient prediction ability in the prior art, and realizes accurate and dynamic risk assessment of water environment micro-plastic pollution.

The invention relates to the technical field of environmental risk assessment, in particular to a waste acid utilization facility environmental risk assessment method and device based on multi-source data, and the method comprises the following steps: collecting waste acid kettle operation data, calculating electrochemical signal entropy, establishing a corrosion stress field through weighting, calculating a pitting rate, and measuring and calculating punching time in combination with the property of waste acid. According to the method, voltage fluctuation and mechanical stress data in the kettle are collected in real time, the electrochemical signal entropy is subjected to trend calculation through a least square method to quantify the corrosion activeness, the corrosion activeness is used as a weight to be fused with fluid pressure and torque to construct a corrosion stress coupling field, and a reduction material stress and chemical erosion interactive damage mechanism is used; and a threshold exceeding unit is extracted, the pitting expansion rate is measured and calculated through an index model, the punching remaining time is calculated in combination with the property of waste acid, risk assessment is converted from qualitative experience to quantitative early warning, hidden pitting leakage is avoided, and timely intervention before physical failure is ensured.

The invention provides a solid waste combustion environment risk assessment method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing.The method comprises the steps that the heavy metal concentration in solid waste in a target area is determined based on the type of the solid waste; identifying the heavy metal exceeding a preset concentration threshold as a heavy metal target pollutant; for each heavy metal target pollutant, the content level of the heavy metal target pollutant in the solid waste is calculated, and the content level reflects the final enrichment degree of the heavy metal target pollutant in the solid waste after combustion and flue gas treatment; determining a potential environmental risk index of the solid waste based on the content level of each heavy metal target pollutant; and weighting the potential environmental risk indexes of all types of solid wastes to obtain a comprehensive potential environmental risk index. According to the method, the spatial pattern of the regional risk can be accurately depicted, the environmental behavior of heavy metal from emission to solid waste fate is comprehensively reflected, and quantitative support is provided for solid waste risk grading.

The invention relates to the technical field of large language models, provides a vulnerability priority assessment method, system and device based on a large language model and a storage medium, and solves the problems that text understanding ability is limited, environmental risk assessment is limited, assessment results are deviated, and effective support is difficult to provide for refined and scenarized vulnerability disposal. The method comprises the following steps: acquiring real-time hardware resource data, vulnerability historical evaluation data and terminal physical attribute data; analyzing the historical vulnerability assessment data, identifying a trigger dependency relationship among different vulnerabilities, and generating a vulnerability chain risk value; simulating a physical environment simulation scene where the enterprise intranet terminal is located and a running state change process of the enterprise intranet terminal after the vulnerability is triggered, and generating an environment risk coefficient; calculating a load risk value corresponding to the enterprise intranet terminal; based on the vulnerability chain risk value, the environment risk coefficient and the load risk value, the vulnerability priority in the enterprise intranet terminal is evaluated, and the accuracy and scene adaptability of vulnerability priority judgment are improved.

The invention relates to an underground water environment risk assessment method based on big data, and relates to the technical field of underground water monitoring and pollution risk assessment. According to the method, water quality parameter data filling is carried out based on a big data pre-trained water quality parameter filling model, a Bayesian classifier or a K nearest neighbor mean value through adaptive missing rate and data type selection, and the calculation efficiency and prediction precision of different missing rates are balanced; a similarity function is defined by considering sampling sites and water quality parameters, repeated data screening is carried out, and data with similar water quality parameters and non-similar sites are prevented from being deleted. Clustering and quartering anomaly mixed detection is utilized to consider univariate statistical anomaly and multivariate structure anomaly, and true pollution data is prevented from being deleted by mistake. A groundwater monitoring data set is utilized, and a composite groundwater environment evaluation model is trained through a differential evolution optimization fusion weight mode to estimate a groundwater environment index value. Model complementation is utilized to reduce deviation; and the integration benefit of the model is maximized by optimizing the weight through differential evolution.

The present application relates to the technical field of environmental risk assessment, in particular to a regional groundwater comprehensive environmental risk assessment and zoning method and system, comprising the following steps: laying out monitoring points to collect pollution characteristic records, screening out incomplete information, analyzing spatial co-occurrence relationship to identify observation characteristic combinations, judging continuous distribution characteristics to delimit independent regions, modifying boundary trends to adjust spatial ranges, and finally outputting regional groundwater risk assessment and zoning atlas. In the present application, an index set is constructed based on pollution characteristic records, feature merging and combination are realized through spatial co-occurrence relationship, a set of risk areas with continuous distribution is generated, boundary overlap and fracture problems are corrected, the boundary trend of the region is adjusted in combination with the migration direction of groundwater and the stratum structure, the pollution information is accurately anchored to the actual spatial unit, the labeling relationship between the graphical boundary and the pollution elements is constructed, and the spatial expression clarity of risk assessment and the positioning accuracy of regional governance are improved.

The invention relates to the technical field of intelligent teaching, in particular to a virtual simulation practical training platform based on an artificial intelligence self-adaptive learning path. According to the method, the fatigue state information is obtained by collecting the physiological behavior data and carrying out fatigue evaluation analysis on the physiological data, then the dynamic interface adjustment parameters are obtained by carrying out practical training interface display optimization according to the fatigue state information, then interface adjustment execution is carried out, the practical training interface is dynamically optimized, the fatigue occurrence rate is reduced, and the practical training efficiency is improved. The practical training efficiency and comfort are improved; a cooperative control module carries out cooperative control analysis on the fatigue state information to output an environment risk threshold parameter, carries out environment risk assessment analysis on the environment multimode data and the environment risk threshold parameter to obtain an environment risk state, then generates an adaptive reminding instruction based on the environment risk state, and executes the adaptive reminding instruction; risk-free, low-risk and high-risk graded reminding is achieved, the problem that closed practical training environment perception is lacked is avoided, and practical training safety is guaranteed.

The application discloses a kind of unmanned aerial vehicle cluster cooperative path planning distributed intelligent control method, it is related to unmanned aerial vehicle group cooperative control technical field, including, real-time acquisition unmanned aerial vehicle dynamic characteristic set, and carry out time synchronization, noise filtering and format integration, form local state data set;Local state data set is obtained through neighborhood cooperative analysis and temporary link planning, and relay chain layout data;Environment risk assessment and path feasibility analysis are carried out to relay chain layout data, and candidate path set is generated;Candidate path set is adjusted through local obstacle avoidance and dynamic constraint, and executable path sequence is generated, and through neighborhood communication and cooperative adjustment, cooperative execution path is generated;Cooperative execution path is integrated through task execution result and state update, and group state data is generated;Group state data is obtained through path feedback and cyclic optimization, and group cooperative achievement is obtained.Improvement task completion rate, cooperative efficiency and environmental adaptability.

The invention provides a multi-angle persistent chemical screening method based on a multi-task graph neural network, and belongs to the technical field of high-throughput screening for chemical risk management. The method aims at achieving synchronous, efficient and accurate screening of the related attributes of the durability of the chemicals. The method comprises the following steps: firstly, constructing a multi-angle chemical durability parameter data set; the method comprises the following steps: taking a molecular graph generated by a chemical structure as model input, constructing a model through a graph neural network, and finishing synchronous training by adopting a mean square error and a superposition loss function with positive sample weight cross entropy; evaluating the performance of the model through indexes such as a determination coefficient and an area under a subject working curve; and characterizing a model application domain by adopting structure-activity relationship morphology analysis. The model constructed by the research relates to more persistent parameters, is more comprehensive, larger in data volume and wider in coverage range, has good fitting ability, prediction ability, robustness and reliability, and can provide technical support for environmental risk assessment of persistent chemicals.

The invention discloses a method for quantifying the leakage amount of pipeline sewage to underground water. The method comprises the following steps: arranging a monitoring well near a pipeline; collecting the tracer agent concentration of the background water sample; and a mass balance model is constructed, and the mass balance model calculates the tracer agent reserve change value, the tracer agent input flux and the sewage leakage amount based on the tracer agent concentration measured by each monitoring well. The invention further discloses a device for quantifying the leakage amount of the pipeline sewage to the underground water. The method can accurately identify and quantify the leakage scale of the pipeline sewage to the underground water. Through cooperative use of the multi-element environment tracer agent, the uncertainty possibly brought by a single tracer agent is greatly reduced, and the capacity of distinguishing a leakage path and spatial and temporal distribution is effectively improved. The method has important application value and wide popularization prospect in the fields of municipal pipe network leakage detection, industrial wastewater discharge monitoring, environmental risk assessment, groundwater pollution remediation and the like.

The invention discloses a metabolism experiment device for a chemical pesticide water-sediment system. The metabolism experiment device comprises a box body, a culture assembly arranged in the box body, a reaction assembly arranged on the culture assembly, an adjusting assembly arranged in the box body and connected with the reaction assembly, and a gas chromatograph-mass spectrometer arranged at the top end of the box body, the device is reasonable in structural design, can accurately control key environmental parameters such as temperature, dissolved oxygen and pH value, simulates various natural environments such as aerobic environment and anaerobic environment, provides reliable environmental conditions for the research of the metabolic process of chemical pesticides, can be suitable for the metabolic research of different types of chemical pesticides in different water-sediment systems, and has wide application prospects. And reliable data support is provided for environmental risk assessment of pesticides.

The invention belongs to the technical field of environmental risk assessment, and relates to a method for zoning assessment of heavy metal pollution environmental risks in a metal mine area. The method provided by the invention is established by referring to pollution characteristic analysis, combining risk evaluation, referring to national technical guidelines and regulations, existing related literatures and books and expert consultation methods. The pollution characteristic analysis part is completed through Meta analysis and hot area analysis, and the index weight calculation part is completed through combination of an analytic hierarchy process and expert consultation. The method is based on an environmental risk evaluation theory, follows a'risk source risk-diffusion migration capability-sensitive receptor vulnerability 'model, and fully considers natural environment characteristics and surrounding environment conditions of different regions throughout the country and pollution risk source danger, diffusion migration capability and sensitive receptor vulnerability characteristics of different mining areas. Therefore, the method can be suitable for various metal mine areas across the country. By dividing the heavy metal environmental pollution risk of the target metal mine area into four areas (a low risk area, a medium risk area, a high risk area and an extremely high risk area), the remediation of different priorities can be carried out for different areas according to different zoning results, the determination of a remediation sequence and the selection of a remediation method are facilitated, and reasonable management and control measures are proposed.

The invention provides a three-level environmental risk assessment linkage method and system for an industrial park, relates to the technical field of environmental risk management, and aims to realize a unified semantic framework of enterprise-level, special-level and park-level data by constructing an environmental risk assessment ontology. According to the method, an event-driven dynamic updating mechanism is adopted, data recalculation and risk map adjustment are automatically triggered, and the timeliness and accuracy of environmental risk response are improved. The whole system effectively solves the problems of data islands, updating lagging, verification missing and the like, and provides real-time and accurate decision support for environment management of industrial parks.

The application discloses a titanium gypsum solidification material and an environmental risk assessment method thereof. The titanium gypsum solidification material is obtained by mixing titanium gypsum produced in a titanium dioxide production process and red mud produced in an aluminum production process according to a weight ratio of 1:4-8 to form a titanium gypsum-red mud composite base material, and then performing reinforcing treatment on the titanium gypsum-red mud composite base material to obtain titanium gypsum-red mud composite granular material, and then mixing the titanium gypsum-red mud composite granular material with cement according to a weight ratio of 3:1-5. The titanium gypsum solidification material can realize waste resource utilization of the titanium gypsum and the red mud, realizes waste treatment by waste, and solves the problem of poor concrete compatibility of the titanium gypsum as cement ingredients, and provides a new high-strength material for roadbed material selection.

A traffic environmental risk assessment method. The method comprises: acquiring environmental risk information in the current traveling environment of a vehicle (300) (S101); determining a target environmental risk type according to the environmental risk information (S103); acquiring a target environmental risk type influence factor which corresponds to the target environmental risk type, and determining a target risk point which corresponds to the target environmental risk type, wherein the target risk point indicates a predetermined position of a possible collision with the vehicle (300) (S105); calculating environmental risk potential energy of the target risk point on the basis of the target environmental risk type influence factor and the environmental risk information (S107); and if the environmental risk potential energy reaches a preset threshold value, sending takeover early-warning information (S109). The risk assessment method in the present invention is simple and feasible; and a target environmental risk type corresponding to environmental risk information is determined, such that targeted determination and processing are performed on different types of traffic environmental risks, thereby realizing the comprehensive assessment of the traffic environmental risks.

The application discloses an iron modified biochar environmental risk and remediation benefit evaluation system and method, relates to the field of environmental remediation data evaluation, and can adjust semantic similarity threshold value when it is detected that current search performance does not reach a preset standard, and synchronously optimizes cache capacity configuration when necessary, so that optimal parameter combinations can be found within a limited number of adjustments, thereby avoiding the problem of low search efficiency caused by improper parameter setting in traditional search; this not only greatly reduces invalid search time, but also improves cache resource utilization, and guarantees the comprehensiveness and accuracy of search results; finally, the search results are sorted through a sorting model, so that the most effective remediation impact features can be identified and applied in priority, thereby guiding the accurate preparation and release of iron modified biochar, and significantly improving the remediation effect of contaminated sites; at the same time, through a regular environmental risk evaluation mechanism, the safety and sustainability of the remediation process are ensured.

The application discloses a rare earth mine area ecological risk assessment method and system based on rare earth element migration prediction, and belongs to the field of environmental risk assessment. The method comprises the following steps: acquiring environmental characteristic data sets of soil profiles at different depths in a target area; performing interface coupling effect calculation on the environmental characteristic data sets to generate a multi-medium migration flux data set, wherein the interface coupling effect calculation is used to determine interface characteristic parameters evolving over time according to third characteristic data, and to determine dynamic source and sink items based on the interface characteristic parameters, and the multi-medium migration flux data set indicates the migration flux of different phase states of rare earth at each depth evolving over time; and outputting a three-dimensional risk map according to the multi-medium migration flux data set, wherein the spatial dimension of the three-dimensional risk map indicates the migration and diffusion range of the rare earth, and the chemical dimension of the three-dimensional risk map indicates the bioavailability of the rare earth. The application improves the pertinence and accuracy of risk assessment.