68 results about "Cumulative effects" patented technology

The invention relates to the technical field of offshore wind power, and discloses a bearing performance degradation evaluation method for an offshore wind power foundation structure, which effectively solves the problem of neglecting corrosion heterogeneity in the prior art by acquiring initial three-dimensional geometric point cloud data and historical service data and constructing a first finite element model. The model better fits the actual structure state; the local damage evolution and cumulative effect are simulated by means of a second finite element model, meanwhile, material degradation evaluation is combined, the interaction of three key factors including corrosion thinning, local damage and material mechanical property degradation is comprehensively considered, and the defect that the multi-factor coupling influence is not fully solved in the prior art is overcome; the extreme environment load condition is introduced to construct the third finite element model, the performance degradation law of the structure in the extreme environment can be analyzed, and then the reliability and applicability of evaluation are improved by establishing a mathematical relation model and predicting the full life cycle bearing performance.

The invention discloses a highway tunnel supporting structure Newtonian mechanics deformation intelligent early warning platform, and relates to the technical field of supporting early warning, the highway tunnel supporting structure Newtonian mechanics deformation intelligent early warning platform comprises a deformation prediction module, the deformation prediction module is used for carrying out early warning and stability evaluation on a supporting structure; the deformation prediction module comprises a coupling modeling unit, a load response unit and an evaluation early warning unit. By designing the deformation prediction module, bidirectional coupling of rock mass pore water pressure and solid deformation is realized, the problem of misjudgment caused by neglecting underground water seepage softening surrounding rock and dynamic load cumulative effect in traditional early warning is solved, and prediction precision and active prevention and control capability of tunnel stability are improved.

The invention discloses a driving mechanism analysis method of reservoir group scheduling for flood non-consistent evolution, which comprises the following steps: acquiring a smooth reservoir entering flood sequence by utilizing a topologically coupled physical manifold constraint denoising model, and constructing dynamic topological characteristics representing propagation time lag and sensitivity through a hydraulic propagation mechanism-based Figure ordinary differential equation; constructing a structural causal model comprising a scheduling capability index, ectogenic hydrological driving and topological characteristics, and fitting a nonlinear dependency relationship by using a causal generalized additive model; executing anti-fact inference, and calculating a local causal driving index and a global causal cumulative effect index through a dry budget; and generating an optimal scheduling strategy for suppressing variation based on the causal index. According to the method, systematic analysis from data physical restoration to causal mechanism decoupling can be realized, the driving contribution of a scheduling behavior to flood inconsistency is accurately quantified, and decision support is provided for scientific flood control of a drainage basin.

The invention discloses a multi-disaster chain type marine disaster risk assessment method based on regional disaster-bearing body distribution, relates to the technical field of marine disaster prevention and control, and aims to clarify the range of a research region, extract all disaster-bearing bodies in the research region, analyze the interaction relationship of the disaster-bearing bodies and establish an association probability matrix. By integrating a disaster chain theory, a probability statistical model and GIS spatial analysis, systematic identification and quantification of multi-disaster chain type marine disaster risks are realized, a logical relationship among a native event, a secondary event and a derivative event is defined, a disaster chain type structure chart is constructed, the total probability of a disaster-bearing body is calculated through a probability iterative algorithm, and the risk of the multi-disaster chain type marine disaster risk is identified and quantified. According to the method, direct and indirect conduction risks are comprehensively reflected, individual risk values are calculated in combination with disaster-bearing body vulnerability, and disaster chain overall risk values are generated through superposition, so that the limitation of isolated analysis of a single disaster in a traditional method is avoided, and complex interaction and cumulative effects of a disaster chain can be more comprehensively captured.

The invention relates to the technical field of geotechnical engineering safety monitoring and evaluation, in particular to a soft rock slope stability dynamic evaluation method which comprises the following steps: S1, acquiring slope environment parameters, construction parameters and geological basic parameters; s2, through simulation of the whole rainfall infiltration process, the spatio-temporal evolution characteristics of pore water pressure in a slope rock stratum are quantified, the aging relation between soil shear strength degradation caused by rainwater and slope displacement is analyzed, and a slope instability threshold calculation model is established; and S3, analyzing the monitored deformation and displacement cumulative effect of the slope and the migration characteristics of the rock stratum slip plane under the load action of the construction vehicle, and constructing a rock stratum instability risk assessment model based on the construction parameters. By comprehensively considering the influence of environmental parameters, construction parameters and geological basic parameters on the slope stability, dynamic evaluation and graded early warning of the slope stability are realized, a construction scheme can be pre-evaluated, and a construction reference is provided for safety management and control of a soft rock slope project.

The invention belongs to the technical field of environmental monitoring and ecological risk assessment, and particularly relates to a Yangtze River Delta basin water ecological risk prediction method and system based on a Bayesian network model. The method comprises the following steps: firstly, constructing a water ecology risk assessment system, and preprocessing sample data; sub-basins are divided based on DEM data, and the sub-basins which are adjacent in space and similar in data feature are aggregated into non-overlapping data blocks; constructing a dynamic Bayesian network model by adopting a random variational inference method, and inputting meteorological prediction data to obtain probability distribution of risk levels of each sub-basin; constructing a risk space correlation model according to sub-basin division, and simulating conduction and superposition processes of risks in a basin network; and finally, evaluating the comprehensive risk state of each sub-basin in combination with a network topology index. By constructing the dynamic Bayesian network model and the risk space correlation network, the spatial-temporal dynamic assessment of the watershed water ecological risk is realized, and the propagation path and the cumulative effect of the risk in the watershed can be predicted.

The invention discloses a water ecosystem safety assessment method for cascade reservoir development, and relates to the technical field of water ecology and environment assessment. Comprising the following steps: constructing a water ecosystem safety assessment multi-dimensional index system under cascade reservoir development; acquiring data of the cascade reservoirs and performing standardization processing; determining the initial weight of each index, and dynamically adjusting the weight of each index; calculating a static safety index; calculating a dynamic toughness index; calculating a comprehensive safety index according to the static safety index and the dynamic toughness index; and according to the size of the comprehensive index, determining the safety level of the water ecosystem in cascade reservoir development, establishing an early warning mechanism, and identifying the key influence index. According to the method, ecosystem toughness quantification is incorporated into an evaluation system, the cumulative effect and dynamic change of the cascade reservoir can be reflected, comprehensive and dynamic evaluation of the health condition of the watershed water ecosystem under the influence of the cascade reservoir is realized, and a scientific basis is provided for watershed ecological protection and reservoir ecological scheduling.

The invention belongs to the technical field of oil and gas field development, and particularly relates to a coupling simulation method for inter-well interference and fracture network evolution in the multi-well-group time sequence fracturing process. The method comprises the following steps: firstly, constructing a high-precision three-dimensional geomechanical model through multi-source data fusion, and solving a reservoir initial crustal stress field based on a finite element method; then time sequence fracturing multi-physics field coupling simulation is carried out according to the actual construction sequence, and a crustal stress field is updated and calculated in real time based on a finite element method; the updated stress field serves as an initial condition of subsequent sub-well simulation, and cross-time-sequence accurate representation of stress interference is achieved; and finally, numerical simulation of all fractured wells is completed through a whole well group iterative simulation process, and fracture network characteristic parameters and a stress interference cumulative effect are output. According to the method, full-process coupling analysis from geological modeling to full-well group fracturing simulation is innovatively realized, and a reliable technical means is provided for optimizing fracturing design.

The invention relates to the field of fire safety operation and maintenance management, and discloses a service life prediction method and system of a fire valve and a storage medium. The method comprises the following steps: collecting operation data of a fire valve, extracting degradation characteristics, and analyzing interaction between the degradation characteristics and environmental factors to construct a torque change rate model; non-linear characteristic parameters are determined based on the torque change index fusion environment influence; when the parameter exceeds a threshold value, evaluating the linkage influence to obtain an influence coefficient; adjusting the sealed rough simulation grid and determining a dynamic evolution path; integrating the operation frequency fluctuation to update the path connection strength so as to extract an attenuation trend, and determining a degradation threshold point; generating a compensation signal to optimize a torque change rate model to obtain a nonlinear rate correction value; and quantifying the cumulative effect based on the correction value and dividing the life interval of the fire valve. The problem that performance degradation of the fire valve under the complex working condition is difficult to accurately evaluate is solved, and the service life prediction accuracy and the maintenance decision scientificity are improved.

The invention belongs to the technical field of water environment monitoring and early warning, and discloses a lake and reservoir chlorophyll a concentration prediction method based on an SO-KNN model. According to the invention, multi-time scale meteorological cumulative effect features are introduced to enrich information representation, and an SO-KNN intelligent prediction model is constructed. According to the method, under the conditions of data scarcity and non-equilibrium, the chlorophyll a concentration, especially the high-precision and strong-generalization prediction capability of the water bloom risk critical point, is remarkably improved. The model is simple in structure and efficient in calculation, the common defects of overfitting, insufficient generalization ability and the like of a complex machine learning model in the scene are effectively overcome, and a reliable and practical innovative technical solution is provided for early water bloom warning of northern reservoirs and water areas with similar data conditions.

The invention discloses a reservoir bank slope hydrological-mechanical coupling dynamic stability evaluation method, which comprises the following steps: constructing a monitoring system, and acquiring water level, rainfall, pore pressure and moisture content data in real time; defining a cumulative disturbance effect function based on the water level amplitude, rate and frequency; establishing a nonlinear coupling correction relation between soil constitutive strength parameters of the cumulative effect function; in combination with monitoring and calculation results, iteratively identifying and correcting model coefficients; carrying out time-varying solution on the stability of the reservoir bank slope by utilizing the correction parameter field and a Bishop method; and establishing a criterion, and triggering graded early warning when the safety coefficient and the change rate exceed threshold values. Compared with the prior art, the method can achieve the real-time dynamic evaluation and grading early warning of the stability of the reservoir bank slope, and is higher in accuracy, adaptability and engineering application value.

The invention discloses a multi-class-group ecological safety operation space determination method and system for a large estuary delta and a storage medium. Relates to the technical field of ecological environment protection and wetland resource management. The method comprises the following steps: acquiring multi-source spatio-temporal data of a target estuary delta, preprocessing, constructing a multi-period inning boundary database, analyzing a distance effect, calculating an inning strength index, determining an optimal hysteresis period through hysteresis analysis, constructing three types of accumulation indexes, fitting a response relation curve of the three types of accumulation indexes and biodiversity, and determining the biodiversity of the target estuary delta. Identifying non-linear inflection points on the curve to determine a threshold position; and constructing a biodiversity response surface according to the analysis result, and further identifying the ecological operation space. According to the method, data of multi-stage remote sensing, multi-class biodiversity monitoring and the like and a multi-model joint calculation framework are combined, the lag response, the cumulative effect and the threshold features of the multi-class biocenosis are quantitatively recognized, an ecological safety operation space recognition system is formed, and support can be provided for ecological planning, management and decision making.

The present application relates to the field of laying hen breeding, and discloses a method and system for monitoring laying hen performance and breeding environment, the method comprising the following steps: obtaining the laying cycle information of each cage position, dividing the cage positions into different laying cycle groups; recording the laying performance data of each cage position; monitoring the cumulative effect of heat stress; constructing an individual dynamic baseline based on the laying performance history data of each cage position to obtain suspected abnormal cage positions; determining the abnormal cage positions and their types caused by environmental factors; generating a preventive control label according to the spread risk; and performing local control. Through dynamic grouping based on the laying cycle, differential monitoring is performed, the environmental threshold is set according to the age, the cumulative effect of heat stress is monitored, and finally the SIR model based on the time-varying transmission coefficient is used to predict the abnormal spread risk and generate differential control instructions, realizing early identification and advanced intervention of local abnormalities.

The application provides an optimal path acquisition method based on an ant colony algorithm, comprising: acquiring a map and placing the map into an ant colony model, setting the number of ants, the starting point and the end point of the map, and placing the ants at the starting point in the map to start multiple iterations of path searching until the ant colony model converges; screening the path of the ant with the highest evaluation score as the optimal path; the application adopts different rollback strategies to handle deadlock ants of self deadlock and passive deadlock, prevents the occurrence of the "generation break" phenomenon; evaluates the path by comprehensively considering the path length and the number of nodes, dynamically adjusts the concentration of pheromone update, and guides the ant colony to find a better path; the advantages and disadvantages of the path of the deadlock ant are rewarded and punished by pheromones, and the speed of ant colony optimization is accelerated; the adaptive reward measure is proposed, the path quality and the number of iterations are considered to autonomously judge whether to reward and adaptively adjust the reward coefficient, the ant colony is helped to find the global optimal path, and the influence caused by the cumulative effect of pheromones is solved.

The invention discloses an ecological groundwater drought risk dynamic simulation method, which comprises the following steps of: constructing a short-term driving force layer of a groundwater drought influence ecological effect, and fusing a hysteresis effect and a cumulative effect to obtain a calculation model of a short-term driving force coefficient; constructing a long-term driving force layer of the underground water drought influencing the ecological effect, and obtaining an optimal calculation model of a long-term driving force coefficient; performing weight fusion on the calculation model of the short-term driving force coefficient and the optimal calculation model of the long-term driving force coefficient, and calculating a comprehensive driving force coefficient to obtain a hierarchical memory-threshold response ecological groundwater drought risk model; and realizing dynamic process simulation of the ecological drought risk by using the hierarchical memory-threshold response ecological groundwater drought risk model. According to the method, three types of ecological response mechanisms of lagging, accumulation and leaving are integrated, and conversion of ecological drought risk assessment from a static index to dynamic process simulation is realized.

The present application relates to the technical field of bridge engineering structure health monitoring, in particular to a bridge targeted reinforcement scheme generation method and system based on digital twinning. The method comprises the following steps: identifying the inherent weak areas of the bridge structure to obtain the structural weak point features; extracting the dynamic features of the structural vibration signal through adaptive time-frequency analysis to obtain dynamic abnormal features; reconstructing the real-time stress field, combining the real-time stress field, the structural weak point features and the dynamic abnormal features to comprehensively evaluate the bridge health state; analyzing the cumulative influence of the environment history on the structure according to the environmental damage influence and the dynamic abnormal features; and generating a bridge targeted reinforcement scheme through multi-objective optimization and reinforcement learning based on the geometric deformation features, the bridge health state and the cumulative influence. The present application generates a targeted reinforcement scheme by fusing multiple source technologies, and is suitable for the whole life cycle health management and precise reinforcement decision of highway, railway and municipal bridges.

The present application belongs to the technical field of oil and gas field development, and particularly relates to a coupling simulation method for inter-well interference and fracture network evolution in multi-well group time sequence fracturing process. The method firstly constructs a high-precision three-dimensional geomechanical model through multi-source data fusion, and solves the initial stress field of the reservoir based on the finite element method; then, time sequence fracturing multi-physical field coupling simulation is carried out according to the actual construction sequence, and the stress field is calculated in real time based on the finite element method; the updated stress field is taken as the initial condition for subsequent well simulation, so as to realize accurate characterization of stress interference across time sequence; finally, through the whole well group iteration simulation process, the numerical simulation of all fracturing wells is completed, and the fracture network characteristic parameters and stress interference cumulative effect are output. The method innovatively realizes the whole-process coupling analysis from geologic modeling to whole-well group fracturing simulation, and provides a reliable technical means for optimizing fracturing design.

The invention relates to the technical field of nuclear power safety, in particular to a method for regular safety evaluation and cumulative effect modification of a nuclear power plant. A nuclear power plant regular safety evaluation and modification cumulative effect method comprises the following steps: obtaining implemented modification information, and establishing a nuclear power plant modification database; and establishing a function influence matrix, a determination theory safety analysis influence matrix, a probability theory safety analysis influence matrix, a disaster influence matrix, a radiation protection influence matrix, an external radiation environment influence matrix and an equipment identification influence matrix for each modification content in the nuclear power plant modification database. And obtaining a modified cumulative effect analysis evaluation result according to one or more types of analysis in the influence matrix. According to the method, the cumulative effects of all implemented modifications are systematically combed, the direct and indirect influence of the cumulative effects generated by all historical implemented modifications on the overall safety performance of the nuclear power plant is evaluated, and the reliability or effectiveness of the overall safety function of the nuclear power plant is maintained.

The application discloses a system and method for pile foundation quality detection, and relates to the technical field of pile foundation quality detection, and solves the problems of difficulty in determining the optimal excitation energy range, deviation of damage quantization criteria, and low reliability of detection results, wherein the application randomly distributes excitation pulses with different energies to different excitation areas, ensures that each energy is excited only once in one area and the same area is not continuously used, combines with environment monitoring and correction during resetting, effectively eliminates the cumulative effect of previous excitation and environmental interference, obtains pure damage increment data, identifies the inflection point of the damage increment-energy curve, takes the inflection point energy as the critical excitation energy of the depth, takes the minimum value and the maximum value of all depths to form an adaptive detection energy window, and fundamentally solves the technical problems of difficulty in determining the excitation energy range and contradiction between detection results of the same pile under different energies.

The invention provides an abrupt slope spillway overflow surface cavitation risk assessment method and system, and relates to the technical field of overflow surface cavitation risk assessment, and the method specifically comprises the steps: constructing a three-dimensional model, and carrying out the simulation to obtain the flow velocity, water pressure and cavitation number; calculating a Reynolds number, judging a flow state and determining a critical flow rate; the streamline curvature and vorticity are extracted, flow field separation is judged, and a risk correction coefficient is determined; clustering the initial high-risk grid units by adopting a recursive traversal method, and calculating a risk correction coefficient mean value of the region; and in combination with the cavitation number and the flow velocity, judging an initial risk level and assigning an interval, correcting to obtain a final risk level of each grid unit, and visually generating a cavitation risk point location distribution diagram of the high-risk area. According to the method, the divided high-risk region is clear in boundary and accurate in range, the actual distribution rule of the cavitation risk on the overflow surface is truly restored, the region cumulative effect of flow field separation is fused into a risk judgment system, and the cavitation effect that the risk of a continuous region is higher is met.

The invention provides a power load prediction method, device and equipment based on a meteorological cumulative effect, and relates to the technical field of power load prediction. The method comprises the following steps: based on a meteorological cumulative effect extraction model, respectively carrying out meteorological feature extraction fusion on a meteorological sequence of a current day and meteorological sequences of a plurality of historical days to obtain meteorological cumulative effect characterization vectors of the current day and each historical day; wherein the meteorological sequence is a sequential sequence of multiple meteorological elements; calculating a similarity score between the current day and each historical day based on each meteorological cumulative effect representation vector and a trained similarity calculation model, and selecting a similar day from the plurality of historical days based on the similarity scores; and constructing a support set corresponding to the current day based on the meteorological cumulative effect representation vector of each similar day and the power load, and inputting the trained meta-learning prediction model to obtain a load prediction value of the prediction day. The method can improve the load prediction precision in a complex and changeable meteorological environment.

The present application relates to the meteorological data driven under the consideration of the medium and long term provincial load time sequence scene generation method and system of accumulated temperature effect, belongs to the electric power system engineering technical field. For the meteorological sensitive season, the load decomposition theory is used to divide it into two parts of basic load and meteorological sensitive load, the peak value of basic load and meteorological sensitive load is estimated by using multivariate grey system model, and the proportion of meteorological sensitive load is estimated by combining the cumulative effect correction model of air temperature and the CNN-BiLSTM-Attention model of meteorological data, so as to obtain the load of meteorological sensitive season;At the same time, the load of non-meteorological sensitive season is generated. Finally, the meteorological sensitive load and the non-meteorological sensitive load are combined to obtain the provincial load scene. The present application discusses the load scene generation method by season, improves the correlation of load, economic population index and meteorological data, so that the generated scene has high reliability.

The present invention provides a method, medium and system for assessing the ecological environment damage value of Spartina alterniflora, belonging to the technical field of Spartina alterniflora ecological environment damage assessment. The present invention introduces an ecological damage diffusion equation to describe the propagation coupling mechanism of multiple factors, utilizes a spatiotemporal damage analysis model based on a graph convolutional network to process complex factor interactions, establishes a time weight factor correction model to quantify the dynamic changes of cumulative effects, combines a biological inhibitor effect model to analyze the synergistic effects of multiple inhibition mechanisms such as local reed competition, natural enemy insect control, and salt stress, and achieves accurate damage quantification and prevention and control strategy formulation through a regional ecological environment damage value comprehensive assessment model and an inhibitor optimization configuration model, thereby solving the technical problem that the existing technology cannot effectively analyze the interaction mechanism of multiple ecological factors during the invasion of Spartina alterniflora, resulting in insufficient accuracy in ecological damage value assessment.

The invention relates to the field of data anomaly analysis, in particular to an environment anomaly analysis method based on sheep breeding environment monitoring data, and the method comprises the steps: obtaining an initial prediction error of a sheep house environment through a long and short term memory prediction model; analyzing the relative humidity change characteristics to obtain a conventional operation false alarm inhibition factor; modeling is carried out on the environmental stress degree and the cumulative influence to obtain a persistent risk amplification factor; correcting the initial error by fusing a conventional operation false alarm suppression factor and a persistent risk amplification factor to obtain a final risk score; the environmental anomaly assessment is obtained by performing joint assessment on the dynamic relative risk and the physiological stress risk, so that the problems that conventional operation is easy to report mistakenly and persistent anomaly is easy to report omission are solved.

The application provides a method and system for evaluating the cumulative impact of the pressure on the seabed habitat, comprising the following steps: identifying the physical pressure affecting the seabed habitat and recording the corresponding pressure benchmark intensity; identifying the environmental pressure and recording the corresponding pressure intensity; scoring the sensitivity of the physical pressure and the environmental pressure according to the characteristics of different types of seabed habitats and the habits of the inhabiting organisms to obtain a scoring result; calculating the pressure intensity of the physical pressure in the kth year of the marine activity based on a physical pressure reduction model according to each physical pressure and the pressure benchmark value of the physical pressure in the starting year; then calculating the pressure of the physical pressure type in the current year; calculating the environmental pressure in the target year; and accumulating the pressure of the physical pressure type in the current year and the environmental pressure in the target year to obtain the cumulative pressure in the target year, so as to realize the dynamic, multi-activity and multi-year comprehensive evaluation of the impact of the pressure on the seabed ecosystem.

The method comprises the following steps: a double-factor dynamic evaluation framework is constructed, a disaster-bearing body vulnerability index reflecting a geological background and a disaster-causing incubation factor embodying a cumulative effect of recent rainfall are scientifically quantified, and the two are inversely coupled to generate a current rainfall disaster threshold dynamically adjusted in real time for each grid unit. The application effectively solves the problem that the traditional warning cannot adapt to the spatial and temporal differences of the geological environment, resulting in insufficient accuracy of the warning, and realizes precise, dynamic and differentiated evaluation and warning of the geological disaster risk.

The invention discloses an evaluation method for quantifying the influence of land subsidence on dike design standards. According to the method, multi-source data such as hydro meteorology, terrain and land subsidence monitoring are fused, and a hydrological-hydrodynamic coupling model is driven to simulate river channel design flood levels in different design return periods; selecting a typical section, and quantitatively calculating the space cumulative effect of land subsidence and the relative reduction value of the levee crest elevation caused by the space cumulative effect; and a three-dimensional response relation model of design flood level-settling volume-standard adjustment amplitude is constructed, and the reduction degree of the flood control design standard is accurately quantified. According to the method, the simplification limitation of a traditional linear superposition method is broken through, quantitative correlation between the land subsidence and the flood control design standard downshift amplitude is achieved, and an integrated evaluation process of land subsidence, design standard adjustment and engineering coping strategies is established; scientific basis and technical support are provided for embankment design standard review, safety evaluation and flood control and disaster reduction decision making.

The present application belongs to the technical field of surrounding rock stability monitoring and evaluation, and particularly relates to a coal mining influenced surrounding rock stability intelligent evaluation method and system, which fuses a mining cumulative effect factor, a ground stress environment factor, a surrounding rock structure integrity factor and a support effective factor through a nonlinear product formula, truly reflects the synergistic hazard law of surrounding rock instability under the coupling action of multiple factors, simultaneously adopts a mixed form combining harmonic mean and coupling enhancement for a current comprehensive risk index, can effectively capture the risk jump phenomenon when deformation anomaly and hazard factors deteriorate at the same time, and adopts a situation prediction model fusing a grey prediction and a Markov chain, corrects the residual error of the grey prediction by the Markov chain, significantly reduces the prediction error of a single model, combines the instability probability calculated by a logistic regression, realizes the quantitative trend prediction of the surrounding rock stability within a certain time window in the future, and greatly improves the advance and accuracy of the early warning.

The present application belongs to the technical field of tailings thickening process control, and discloses a tailings thickening machine underflow concentration automatic detection and control system and method; through collecting multi-point turbidity data in the radial direction of the overflow area of the feedwell, early identification of the disturbance of the feed properties is realized; a layered settling model is constructed based on the mud layer interface height and the thickening machine geometric parameters, and the material residence time is accurately calculated; a medicament effect propagation descriptor is created, and the dynamic propagation process of the flocculating agent in the system is tracked; combined with the in-transit cumulative effect evaluation and future concentration prediction, feedforward-feedback composite control is realized; through lagging prediction error analysis, the model parameters are dynamically corrected, and the system performance is continuously optimized. The present method realizes predictive control and accurate adjustment of the underflow concentration, effectively solves the problem of excessive flocculating agent adjustment, and improves the stability and reliability of the tailings treatment process.

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses a geological disaster probability assessment method based on multi-source big data fusion analysis. The method comprises the steps of three-dimensional coordinate system layout and multi-point sensor acquisition, standardization, memory kernel construction, time sequence convolution fusion, anomaly recognition, probability mapping and spatial interpolation, and high-risk area output. By unifying a spatial reference system, the spatial consistency of data of each monitoring point is ensured; the whole-process data quality inspection and standardization are realized, and the dimension unification and comparability of the multi-source heterogeneous data are realized. A finite memory weight model and time sequence weighted convolution are innovatively adopted, the historical cumulative effect is comprehensively reflected, the anomaly discrimination robustness is improved, and the defect that only short-term data is used is overcome. Probabilistic mapping and feature distance-based spatial smoothing endow the risk expression with continuity and adaptivity, and realize scientific determination of regional high-risk partitions.