81 results about "Soil characteristics" patented technology

The invention relates to the technical field of intelligent agriculture, and particularly discloses an orchard intelligent water and fertilizer integration-based edge end fruit tree fertilizer demand prediction method, which comprises the following steps of: constructing each fruit tree as a graph node, and fusing canopy spatial characteristics extracted by unmanned aerial vehicle multispectral remote sensing and nutrient time sequence characteristics monitored by a soil sensor; space influence weights among nodes are calculated according to the terrain, the soil texture and the space distance, and a fruit tree individual relation graph is established; then, through a space-time diagram convolutional network, aggregating space neighborhood features and capturing time dynamic changes, and outputting target state features subjected to multi-scale enhancement; when the canopy conflicts with the soil characteristic indication, combined diagnosis is carried out based on a neighborhood consistency index and an adjacent node state, systematic nutrient stress and local non-nutrient factors are distinguished, and final fertilizer demand prediction is generated after the conflict is eliminated; a digital fertilization prescription map is generated through spatial interpolation, soil characteristics and slope correction, and the water and fertilizer integrated equipment is driven to execute precise operation.

The invention discloses a lolium perenne seedling returning nitrogen reduction amount regulation and control method based on soil multifunctional evaluation, and relates to the technical field of agricultural planting.According to the method, a closed-loop dynamic regulation and control system is constructed, aiming at the soil characteristic difference after lolium perenne seedlings are returned to the field, precise and personalized management of the application amount of nitrogen fertilizer is achieved, and the application amount of nitrogen fertilizer is improved. According to the method, the nitrogen fertilizer compensation amount is dynamically adjusted according to the soil multifunctionality real-time evaluation result of the key growth stage of crops, and the yield fluctuation caused by blind reduction of application is effectively avoided, so that the stability and improvement of the crop yield are ensured while the chemical nitrogen fertilizer input is remarkably reduced, and the economic benefit is increased. The technical scheme that physical, chemical and biological indexes of soil are comprehensively evaluated in the key growth stage of crops, and the nitrogen fertilizer correction amount is dynamically calculated based on the deviation between the evaluation result and the target function range is adopted, so that the accurate regulation and control of the nitrogen fertilizer application amount can be realized; therefore, the stable yield of crops is guaranteed and the soil health level is continuously improved while the application of chemical nitrogen fertilizer is reduced.

The invention discloses an AIoT water and fertilizer integrated regulation and control method and system based on a crop growth dynamic model, and relates to the technical field of water and fertilizer regulation and control, and the method comprises the steps: firstly obtaining multi-dimensional environment parameters and soil characteristics through an AIoT sensing network, and deeply analyzing a restriction mechanism of soil moisture on nutrient effectiveness based on the crop growth dynamic model; and quantifying the nutrient effectiveness coefficient. And then, inputting the coefficient into a water-fertilizer coupling prediction model, and dynamically deducing the actual nutrient absorption amount and the moisture evapotranspiration amount of the crop in a specific water-fertilizer interaction environment, so as to realize digital representation of the physiological demand. And further, in combination with future meteorological information and cost constraints, multi-target collaborative optimization is carried out by using a rolling time domain optimization algorithm, and an optimal regulation and control strategy considering growth requirements and economic benefits is generated and driven to be executed. In this way, quantitative and accurate regulation and control of the water and fertilizer synergistic effect can be achieved, and therefore the resource utilization efficiency and agricultural production economic benefits in the whole growth cycle of crops are greatly improved.

The application provides an in-situ passivation remediation method for heavy metals in farmland soil, and belongs to the field of heavy metal passivation in soil. The in-situ passivation remediation method for heavy metals in farmland soil is composed of the following steps: premixing, primary fermentation and secondary fermentation. The premixing is to uniformly mix pig manure, chicken manure, a composite passivation agent, a microbial inoculum and farmland soil, to adjust the C / N ratio and the water content of the mixture, to obtain a premix, and then to perform primary fermentation and secondary fermentation in an aerobic environment. The in-situ passivation remediation method for heavy metals in farmland soil can effectively combine the passivation agent with the compost fermentation, avoid the adverse effects of the fermentation components on the passivation agent during the composting process, improve the adaptability to different soil characteristics, realize stable and efficient treatment of different characteristic soils, further improve the in-situ passivation remediation effect on heavy metals in farmland soil, and effectively avoid the situation that the heavy metals in the soil are released again after the soil heavy metals are passivated.

The invention discloses a dry land wheat green high-yield cultivation optimization method and system, and relates to the technical field of agricultural cultivation. The method comprises the following steps: firstly, obtaining typical rainfall characteristic data and soil characteristic data of a target planting area, constructing a micro-furrow simulation model, and carrying out optimization solution by taking predicted water catchment maximization as a target to obtain optimal micro-furrow parameters. And calculating a confidence wetting depth by combining rainfall characteristic data and an optimization result, and determining furrow sowing parameters according to the optimization result and wheat water demand characteristics. Finally, cultivation operation is executed based on the micro-furrow parameters, the furrow sowing parameters and the confidence wetting depth, wherein the fertilizer application depth is determined based on the confidence wetting depth. Precise matching of a micro-furrow structure, crop layout and water and fertilizer management is achieved, the problems that in traditional cultivation, the water utilization efficiency is low, and water and fertilizer space matching is poor are solved, and the rainfall utilization efficiency and the yield level of dry land wheat are improved.

The application discloses a soil deep loosening simulation method based on DEM-FEM bidirectional coupling. The method comprises the following steps: establishing a soil discrete element model and a deep loosening tool finite element model; using the discrete element DEM simulation to analyze the influence law of soil characteristic parameters and deep loosening tool motion parameters on soil deep loosening effect and deep loosening tool working resistance; changing the soil characteristic parameters and deep loosening tool motion parameters, and calculating the information such as soil deep loosening particle mixing degree, deep loosening tool working efficiency and working resistance under different variables; analyzing the influence law of the working resistance obtained from the DEM on the deep loosening tool structure through the finite element FEM analysis, changing the soil structure parameters and deep loosening tool structure parameters, and counting the statics and dynamics analysis results under different variables; simulating through the DEM-FEM bidirectional coupling, analyzing the soil deep loosening mechanism of the deep loosening tool, and obtaining the parameter and structure optimization results. Compared with the prior art, the application can effectively reduce resistance and consumption, and improve working efficiency.

The invention provides a permeable breakwater and a design method thereof, and relates to the technical field of permeable breakwater. Aiming at the lack of a design method for high-precision environment coupling and high-accuracy structure stress prediction during design of a permeable breakwater in the prior art, the method comprises the following steps: establishing a wave-structure-foundation coupling model based on structure stress data, environment soil characteristics and a transmission coefficient of waves; s5, selecting a wave-structure-foundation coupling model, simulating different structure parameter combinations based on the wave-structure-foundation coupling model, and when the simulation results do not meet the target requirements, circularly executing the steps S2 to S5 until the simulation results meeting the target requirements are screened out, and determining a corresponding final structure parameter combination. The cooperative working mechanism of the reduction foundation and the pile foundation is realized, the dynamic interaction of the wave load and the structural response is simulated, and the environmental coupling precision and the structural stress prediction accuracy are improved.

The invention discloses a deep soil sampling device, and belongs to the technical field of soil sampling, the deep soil sampling device comprises a main cylinder, a bottom cylinder, a petal-type soil drilling cone, a sampling cylinder, a limiting connection assembly, a driving screw rod and a driving positioning member, a plurality of mounting slideways are arranged on the side wall of the bottom cylinder, elastic reset members are arranged on the mounting slideways, the petal-type soil drilling cone comprises a plurality of petal-type cone sheets, and the petal-type cone sheets are arranged on the bottom cylinder. The petal-type conical piece is movably connected with the elastic reset piece through a rigid connecting piece, fixing columns are symmetrically arranged on the outer edge of a top plate at the upper end of the sampling barrel along the diameter line, locking openings are formed in the fixing columns, the limiting connecting assembly comprises a quick-release locking piece matched with the locking openings, the driving screw rod is rotationally connected with the limiting disc, and the driving positioning piece comprises a semi-ring piece. Threaded teeth are arranged on the inner side walls of the semi-ring pieces, and the two semi-ring pieces form a positioning thread sleeve matched with the driving screw. The soil sampling device has the beneficial effects that soil sampling at different depths can be efficiently and accurately completed without repeated drilling, the structural integrity of the sampled soil is guaranteed, and the characteristics of the soil at different depths are truly reflected.

The invention relates to the technical field of soil improvement, and discloses a soil improvement effect real-time monitoring method and system and a storage medium. The method comprises the following steps: collecting multiple depth data samples in the vertical direction of soil, and constructing a layered soil characteristic data set; identifying the position of the high-heterogeneous section based on the data set; injecting a tracer agent at the position and imaging in real time to obtain a permeation path image sequence; predicting a diffusion velocity and a retardation point position by using a random forest model, dynamically adjusting injection parameters to eliminate retardation, and obtaining permeation path data; tracking and quantifying the action change of the modifier in each soil layer through time sequence analysis to obtain an action effect quantitative index; the index is compared with an initial data set, a hierarchical model is optimized, and a hierarchical monitoring framework is constructed; and integrating multiple depth data samples to verify the framework, and generating an evaluation report of the soil improvement effect. According to the invention, the accurate characterization of the vertical layering characteristic of the soil and the scientific and quantitative evaluation of the improvement effect are realized, and the use efficiency of the modifier is improved.

The present application belongs to the technical field of pile foundation engineering construction, and relates to a soft soil slope pile foundation inclination correction structure and a construction method. The soft soil slope pile foundation inclination correction structure comprises a deviation pile, a pile top force device, a grid-gravel composite pile, a grouting pipe and a pile side reinforcement area, wherein the grid-gravel composite pile is composed of a grid casing and gravel. By setting the grid-gravel composite pile in front of the pile, on the one hand, it can serve as a stress release hole, and by pumping and draining water in the hole, the passive side soil pressure during correction is reduced; on the other hand, by grouting reinforcement, the soft soil characteristics are improved, a rigid gravel pile is formed in front of the pile, the pile side reinforcement area is combined, the bearing capacity of the deviation pile is improved, the landslide thrust borne by the deviation pile is reduced, and then the reliability and stability of the deviation pile during service are increased. The present application overcomes the problems of large correction difficulty and incomplete correction of the traditional correction measures, and has good economy and implementability.

The invention discloses a soil mechanics theory-based erosion gully microscopic scale model construction method, which comprises the following steps of: firstly, carrying out field exploration on a target erosion gully to obtain geometric and soil mechanics parameters and meteorological data, and determining a scale proportion according to a similarity theory; preparing a similar soil material from quartz sand, clay and the like, and preparing a model substrate from a fiber reinforced composite material; laying materials layer by layer, implanting fibers, setting a vegetation layer simulation environment, setting boundary conditions and a loading and monitoring system; applying a simulated load, comparing model output with a prototype or theoretical result, determining key parameters by sensitivity analysis, and adjusting and optimizing the model. The model constructed by the method is highly similar to the mechanical behavior and erosion process of an actual erosion gully, soil characteristics can be accurately simulated, data are acquired through reliable monitoring, the accuracy is ensured through scientific calibration and optimization, an effective means is provided for erosion gully research, the research cost is reduced, and high universality is achieved.

The utility model discloses a spiral stirring roller for mixing nutrient soil. The spiral stirring roller comprises a roller shaft, a spiral blade I and a spiral blade II, wherein the spiral blade I and the spiral blade II are sleeved on the roller shaft; the first spiral blade is fixedly connected to the roller shaft. The second spiral blade is also connected to the roller shaft in a sleeving mode and can slide in the axis direction of the roller shaft; by adjusting the position of the spiral blade II on the roll shaft, the width of the stirring channel is adjusted, so that different soil characteristics and stirring requirements can be met. When a wider stirring channel is needed, the spiral blade II is attached to the spiral blade I, so that the stirring space can be quickly expanded, and the stirring device is particularly effective for treating soil with higher humidity or larger particles, and ensures that the soil can be fully turned over and mixed. When a narrower stirring channel is needed, the stirring space can be reduced and the stirring strength can be increased only by moving the second spiral blade to the middle part of the spiral groove formed by the first spiral blade.

This application relates to the field of soil remediation technology, and discloses a method, system, and storage medium for real-time monitoring of soil remediation effects. The method includes: collecting multi-depth data samples of soil in the vertical direction to construct a stratified soil characteristic dataset; identifying locations of highly heterogeneous sections based on the dataset; injecting a tracer at these locations and imaging in real time to obtain a sequence of infiltration path images; using a random forest model to predict diffusion velocity and blockage point locations, dynamically adjusting injection parameters to eliminate blockage, and obtaining infiltration path data; tracking and quantifying the effects of the soil amendment on each soil layer through time-series analysis to obtain quantitative indicators of the effect; comparing these indicators with the initial dataset to optimize the stratification model and construct a stratified monitoring framework; integrating multi-depth data samples to validate the framework and generating an evaluation report on the soil remediation effect. This invention achieves accurate characterization of soil vertical stratification characteristics and scientific, quantitative evaluation of remediation effects, improving the efficiency of soil amendment use.

This invention relates to the field of monitoring data processing technology, and particularly to a method and system for processing abnormal data in paddy field pollution monitoring data. The method involves collecting monitoring data from multiple locations within a target paddy field to obtain a monitoring data array; acquiring water flow characteristic parameters and soil characteristic parameters from multiple locations, and configuring multiple anomaly identification factors; classifying the multiple monitoring data within the monitoring data array according to the multiple anomaly identification factors to obtain multiple anomaly identification results, wherein the number of anomaly classification node layers is configured according to the multiple anomaly identification factors for anomaly classification; and labeling the monitoring data array based on the multiple anomaly identification results. This method achieves efficient and accurate identification of abnormal data in paddy field pollution monitoring data.

The invention belongs to the field of irrigation automatic control, and particularly relates to a multi-farmland collaborative irrigation method and system fusing meteorological conditions and an AI large model. According to the method, a growth cycle water demand model with rainfall prediction is constructed, and rainfall intensity, duration and soil layered water content changes are comprehensively considered; accurately calculating the standard water demand deviation value of each farmland; optimizing a BP neural network by adopting a particle swarm optimization algorithm, and dynamically solving an optimal opening value and an opening timestamp of each digital water-saving gate opening by taking maximization of a water content consistency probability as a target and combining multi-dimensional parameters such as a water flow diffusion mapping weight, a farmland area and soil characteristics; an irrigation simulation control platform is introduced to carry out closed-loop verification and iterative optimization, by monitoring the irrigation deviation value and the water content consistency probability in real time, accurate control over multi-farmland collaborative irrigation is achieved, the water resource utilization efficiency and the irrigation uniformity are effectively improved, and it is ensured that water needs of all farmlands are accurately met.

The invention relates to a demand analysis-combined soil data processing method and system, and relates to the field of data processing, and the method comprises the steps: detecting target land soil characteristic parameters and target seed demand parameters, randomly configuring a soil adjustment scheme, carrying out the integrated prediction, and carrying out the error compensation based on a data sample occurrence rate and a historical adjustment error rate. Finally, an optimal soil adjustment scheme is obtained according to optimization of the soil nutrient fitness and the soil gap fitness, the technical problem that a soil management adjustment method lacks accurate consideration of different crop demand differences and systematic prediction and optimization means is solved, and the purposes that seed demands can be accurately matched, and the adjustment accuracy is improved are achieved. And the pertinence and effectiveness of soil adjustment are improved.

The application discloses a ryegrass seedling field returning nitrogen reduction regulation method based on soil multifunctionality evaluation, relates to the field of agricultural planting technology, and realizes precise and personalized management of nitrogen fertilizer application amount by constructing a closed-loop dynamic regulation system and aiming at soil characteristic differences after ryegrass seedling field returning, the method dynamically adjusts nitrogen fertilizer compensation amount according to real-time evaluation results of soil multifunctionality at a key growth stage of crops, effectively avoids yield fluctuation caused by blind reduction of nitrogen fertilizer, ensures stable and improved crop yield while significantly reducing chemical nitrogen fertilizer input, and adopts a technical scheme of comprehensively evaluating soil physical, chemical and biological indexes at the key growth stage of crops and dynamically calculating nitrogen fertilizer correction amount based on deviations of evaluation results and a target function range, so that precise regulation of nitrogen fertilizer application amount can be realized, chemical nitrogen fertilizer can be reduced while crop yield is ensured, and soil health level is continuously improved.

The invention belongs to the field of pipeline leakage detection, and discloses a natural gas pipeline leakage detection method, system and equipment and a medium. The detection method comprises the following steps: acquiring environment data, pipeline data and a real-time gas cloud image of each position of a natural gas pipeline, identifying gas cloud image abnormity by using deep learning to position a leakage abnormal position, and generating gas permeation time in combination with a pre-trained pipeline leakage analysis model and the environment data; the permeation time is corrected according to the real-time precipitation amount; and finally, the leakage position is determined based on the corrected permeation time and the pre-trained gas migration velocity. According to the scheme, the problems that a traditional method neglects the personalized influence of soil characteristics and is not coupled with real-time meteorological factors are effectively solved, the accuracy and reliability of leakage detection of the natural gas pipeline are improved, the actual gas permeation path can be more accurately predicted, the abnormality checking range is narrowed, and therefore the first-aid repair time is shortened, and accidents are prevented from expanding.

The present application relates to a kind of residual agricultural film water pollution prediction methods based on time delay embedding timing recursive network, comprising the following steps: S1: regional multi-source data acquisition and dataset construction, provide input data for prediction model;S2: build timing recursive prediction model, based on the timing recursive of multilayer gate control cycle unit GRU and time delay embedding mechanism builds prediction model, establishes the dynamic transmission relationship between residual agricultural film, soil characteristics and water pollution three kinds of medium;S3: pollution transmission chain construction and dynamic prediction, in prediction model, introduce intermediary variable and environmental driving factor, build from residual agricultural film to soil characteristics, again to water pollution, realize the dynamic prediction and response analysis of pollution process.The present application can show the time lag relationship between pollution release and water quality response, simulate the timing recursive process of residual agricultural film pollution between multiple media, provide reliable technical support for water pollution risk early warning and management decision.

Sensor device (1) for in-situ soil analysis, comprising: a sensor assembly comprising one or more sensors that are individually or cumulatively configured for the simultaneous in-situ measurement of an absorption spectrum in a spectral range NIR-VIS-UV extending from NIR to UV and of at least one of the following soil properties of a soil to be analyzed (11) and for the provision of corresponding respective measurement data: (a) Impedance spectrum (b) temperature (c) acidic or basic character; wherein the distance defined between any two sensors of the sensor assembly with respect to their respective measuring quantity sensors does not exceed a value of 10 cm, wherein the sensor assembly for in-situ acquisition of an absorption spectrum of the soil to be analyzed (11) includes an absorption spectrometer assembly (5) which has: at least two MEMS absorption spectrometers (26a, 26b) whose spectral coverage differs at least for partial regions of the electromagnetic spectrum, so that cumulatively an absorption spectrum of the soil (11) to be analyzed can be acquired by the entirety of the MEMS absorption spectrometers (26a, 26b), which has components in the NIR, VIS and UV regions, wherein the absorption spectrometer assembly (5) further comprises a movable shutter device (28) configured to temporarily retract an aperture into a spatial region defined between the absorption spectrometers and the measurement surface, wherein a calibration reference (29) for calibrating at least one of the absorption spectrometers is arranged on the side of the aperture facing the absorption spectrometers.

This invention relates to the field of steel pipe pile technology and discloses a prestressed steel pipe concrete pile and its usage method, including an overall external mechanism, which also includes an overall chassis. The invention is designed with a bottom fixing mechanism. The soil characteristics from the soil surface to 40 cm underground are relatively dry, fine and have poor seismic resistance. The soil characteristics below 40 cm are moist, soft and have poor stability. According to the normal construction process of small villas, the foundation should be buried to a depth of 100 cm. When the foundation of this invention is being fixed, the bottom fixing mechanism extends outward due to soil resistance and stores a portion of the fine and dry surface soil inside the fixing column. After going deeper, it mixes with the moister soil underground, making the equipment more stable. It takes advantage of the large temperature difference between day and night in suburban areas, the poor thermal conductivity of the outer wall of the overall stone slab, and the low temperature. The overall condensation plate is a metal product with high thermal conductivity, which absorbs the surrounding temperature and prevents condensation from occurring inside.

The robot soil conditioner comprises a workbench, and a debugging area and a test area are arranged on the top face of the workbench; a station conversion column, a debugging table and a first mechanical arm are arranged in the debugging area, four stations are arranged on the four side faces of the station conversion column, and the four stations are the collection station, the humidity detection station, the water adding station and the drying station. The debugging table comprises a bottom base and an adjusting seat, the adjusting seat is slidably clamped on the bottom base, a pushing air cylinder is arranged on the bottom base, and a debugging glass plate and scraping equipment are arranged on the adjusting seat; a soil adjusting scraper is mounted at the tail end of the mechanical arm I; and test equipment is arranged in the test area. The soil conditioner can comprehensively and accurately identify the soil type and accurately detect the soil humidity, the water adding amount is calculated according to the soil characteristics and target requirements, full and uniform mixing of soil is achieved by simulating the manual soil conditioning action, meanwhile, automatic test detection is achieved, multiple times of adjustment can be conducted according to the detection result, and the working efficiency is improved. And it is ensured that the soil adjusting result meets the standard requirement, the automation degree of equipment is high, and labor cost and personal errors are reduced.

The application discloses a kind of ground electrode in time domain finite difference simulation soil ionization effect characterization method, including obtaining the geometry of the ground electrode to be characterized, soil characteristics, environment and excitation source parameters, construct electrode in FTDT simulation model;The model is meshed, the absorption boundary condition and simulation total length are determined and initialized;Current density and electric field intensity around electrode are calculated, and soil resistivity is updated;The total resistance of electrode under the distribution of current soil resistivity is calculated, and the equivalent radius of electrode is calculated correspondingly;The correction factor of time domain finite difference is calculated using the equivalent radius of electrode, and then the vertical electric field component parameter of electrode is corrected;When the current simulation length reaches the simulation total length, the ground electrode top voltage, resistance, equivalent radius characterizing soil ionization effect are output;Method can accurately characterize soil ionization effect under coarse grid, greatly improve the calculation efficiency.

The application provides a grounding resistance online monitoring method and system, a storage medium and an electronic device, and relates to the technical field of grounding resistance monitoring. The technical scheme provided by the application obtains the geological type of a transformer substation and the corresponding reference resistance threshold curve, combines the second grounding resistance value calculated based on the first grounding resistance value of the branch node in the grounding network, and determines the comprehensive resistance correction amount based on the soil characteristic parameters, thereby realizing the individual adjustment of the reference resistance threshold curve and obtaining the target resistance threshold curve suitable for the specific transformer substation. Comparing the measured third grounding resistance value with the corresponding threshold value of the final resistance threshold curve can accurately identify the abnormal state of the grounding network, avoid the false alarm and missed alarm problems caused by the fixed threshold, and improve the accuracy of the grounding resistance online monitoring.

This invention discloses a method for locating complex buried PE pipelines based on time-frequency domain fusion of acoustic signals, belonging to the field of buried pipeline inspection technology. The method includes acquiring acoustic signals generated by pipeline vibration excitation; determining the horizontal orientation of the pipeline based on amplitude attenuation characteristics; distinguishing normal pipeline segments from complex pipeline segments based on resonant frequency distribution; constructing an elliptical geometric model and calculating the pipeline's burial depth; and generating a visualized image containing pipeline direction, burial depth, and pipeline type identification. This invention achieves integrated high-precision positioning and visualization of complex buried PE pipelines, enabling automatic identification and differentiation of complex pipeline segments such as tees and elbows from normal straight pipe segments. It fundamentally avoids measurement errors caused by changes in soil characteristics, transforming abstract professional detection data into easily understandable visual results, and providing a reliable, efficient, and intelligent complete solution for the refined inspection and management of buried PE pipelines under complex working conditions.

The application discloses a kind of arid region black carbon soil optimization water resource benefit promotion method and system, belong to water and soil improvement field, the method includes: the soil characteristics of target arid region is evaluated, and arid region soil database is constructed;According to the information of the arid region soil database, an optimization target model is constructed;According to biological black carbon application model, the biological black carbon application amount of target area is obtained, the soil improvement of target arid region is carried out using the biological black carbon application amount, the data related to soil and crop growth of target arid region after improvement is completed are collected, and the collected data is constructed as monitoring database;The data in monitoring database is compared with the prediction result of optimization model, and the accuracy and actual effect of the biological black carbon application model are verified.The application can effectively guide the application amount of biological black carbon by introducing biological black carbon to influence evaporation loss model and establishing optimization target model.

This invention relates to an automated monitoring method for the dynamic changes of plant diversity in mountainous forest areas, comprising: constructing a three-dimensional model of the target mountainous area and deploying a sensor network; collecting microclimate data and soil characteristic data to determine a spatial distribution matrix; acquiring historical plant distribution data of the target mountainous area, mapping it to the spatial distribution matrix to construct a comprehensive distribution map of environmental factors, and determining a correlation model between plant distribution and environmental factors; acquiring real-time satellite remote sensing image data of the target mountainous area, using the correlation model to analyze the characteristics of changes in plant cover and plant diversity distribution, and locating several key plant distribution areas; identifying plant species and counting their numbers in the key plant distribution areas, updating the comprehensive distribution map of environmental factors, and completing the automated monitoring of the dynamic changes of plant diversity in the target mountainous area. This invention integrates multi-source environmental data to achieve automated analysis of plant diversity distribution.

This invention discloses a pile expansion method and its application based on high-voltage pulse discharge, belonging to the field of pile foundation construction technology. This invention expands the borehole diameter at the desired pile location to the required pile diameter using high-voltage pulse discharge. During this process, the soil compression modulus and Poisson's ratio are measured in real time. Based on the relationship between discharge parameters, soil characteristic parameters, and the preset borehole diameter, the optimal discharge parameters for high-voltage pulse discharge are set. Specifically, these parameters include the number of discharges, the electrode gap distance for a single pulse discharge, and the discharge energy. This achieves coupled calculation of discharge parameters, shock wave load, and soil deformation. It can determine the corresponding optimal discharge parameters based on soil characteristic parameters and the required pile diameter, and can efficiently and accurately achieve the required pile diameter by controlling the high-voltage pulse discharge parameters under different soil environments.

The invention provides a hydraulic power plant power generation flow data prediction method, and relates to the technical field of hydraulic power plant power generation flow prediction, and the method comprises the steps: collecting meteorological data, landform data, soil characteristic data and hydraulic power plant operation data of a watershed where a hydraulic power plant is located through a multi-source sensor; data missing values are filled by adopting a long and short term memory network interpolation model, abnormal values in the data are detected by adopting a density-based spatial clustering method in combination with an isolated forest method, and the abnormal values are corrected by using a conversion-based smoothing algorithm; a deep belief network DBN and a convolutional neural network CNN are combined to construct a prediction model, data are input into the prediction model, feature extraction is performed on topographic and geomorphic data and soil characteristic data through the CNN, deep feature learning is performed on the extracted features, meteorological data and hydraulic power plant operation data through the DBN, and the power generation flow of the hydraulic power plant is predicted. By adopting the scheme, accurate and efficient prediction of the power generation flow of the hydraulic power plant is realized.