504 results about "Surface water" patented technology

The invention provides an urban water network drainage joint scheduling method and system, and relates to the technical field of urban flood control and drainage, and the method comprises the steps: carrying out the fusion processing of multi-source monitoring data, and obtaining a feature vector; inputting the feature vector into a runoff prediction model for runoff prediction to obtain a comprehensive runoff prediction result; based on the comprehensive runoff prediction result, pipe network water flow and surface accumulated water simulation is conducted through a drainage hydraulic model, and a target simulation result is obtained; performing waterlogging risk assessment based on the target simulation result and the monitoring data to obtain a waterlogging risk level; selecting a corresponding scheduling generation mode based on the weather forecast data, the monitoring data and the waterlogging risk level; and determining a corresponding scheduling strategy based on the selected scheduling generation mode and the waterlogging risk level. According to the urban water network drainage joint scheduling method and system provided by the invention, accurate prediction simulation and scientific scheduling are realized, and the drainage efficiency is further improved.

The invention discloses a gleying rice field intelligent irrigation and drainage regulation and control method based on reinforcement learning. The method comprises the steps that meteorological data, soil data and field surface water level data are collected; calculating crop state information based on the meteorological data and the soil data by using a crop growth model; inputting the meteorological data, the soil data, the field surface water level data and the crop state information into an offline training strategy model, outputting action suggestions, and performing verification and decision making according to preset regulation and control logic in combination with the meteorological data, the soil data, the field surface water level data, an external data source and agronomic rule base data; a control strategy is generated, irrigation, drainage or oxygenation is executed, and irrigation and drainage regulation and control are completed. Compared with the prior art, the method has the advantages that priority regulation and control logic for ORP / pH value real-time feedback is established, a prospective pre-drainage mechanism for rainfall forecast is fused, water layer constraint in the growth period and conditional filtering rules in the fertilization safety period are fused, and a perception-decision-execution closed-loop control system is formed.

The multi-field coupling collaborative modeling and parameter autonomous intelligent decision-making method for the roller type quenching process comprises the steps that four key process parameters including the nozzle flow, the water ratio, the roller gap distance and the plate passing speed are collected and subjected to normalization preprocessing, and a training set and a test set are divided; the four key process parameters of the training set serve as input, the water-cooling convective heat transfer coefficient and the phase change plasticity coefficient serve as output, a BP neural network is trained, and the workpiece surface water-cooling convective heat transfer coefficient and the material internal phase change plasticity coefficient are predicted through the trained BP neural network; a multi-field coupling model composed of a temperature field, a structure phase change field and a stress-strain field is solved, and quantitative calculation of quenching core quality indexes is achieved; by taking water consumption minimization as a target, constructing a nonlinear optimization model under the condition that multiple core quality index constraints of the plate temperature, the outlet hardness and the plate shape are met; and performing global optimization on the optimization model by adopting a differential evolution algorithm, and autonomously deciding an optimal process parameter set value.

The invention discloses a surface water storage amount monitoring method and system based on space-air-ground water multi-source collaboration, and relates to the technical field of water resource investigation, and the method comprises the steps: obtaining multi-source collaboration collection data of a target water body, and generating a multi-source data set of a unified space-time reference; carrying out automatic extraction and change detection on a surface water area range by using a water body index method and deep learning to obtain a water area boundary; taking a water area boundary as a spatial constraint, extracting ashore terrain and underwater terrain data, and inputting the ashore terrain and underwater terrain data into a deep learning fusion model based on an encoder-decoder structure to generate a water-land integrated digital elevation model; and according to the water body types, based on the model, respectively adopting corresponding deep learning models to carry out storage volume monitoring, and calculating the water storage volumes and dynamic changes of different water body types. Efficient fusion and intelligent processing of multi-source data are achieved, the precision and efficiency of surface water storage capacity monitoring are remarkably improved, and the method is suitable for refined dynamic monitoring of various water bodies such as rivers, reservoirs and ponds.

The invention belongs to the related technical field of waterlogging simulation, and particularly relates to an urban waterlogging simulation device and method based on a digital twin system, and the device comprises the digital twin system, a physical sand table, a sensor, and a microcontroller. The twin system is connected with the physical sand table through a microcontroller and sensors arranged on the physical sand table, and is used for simulating the underground pipe network and surface ponding conditions of the urban target area under the rainfall condition, and regulating and controlling the physical sand table through the microcontroller to realize dynamic verification of the urban inland inundation process; the sensor is used for collecting underground pipe network and surface water accumulation condition data in the physical sand table in real time and transmitting the data back to the twin system, bidirectional interaction and synchronous display of the virtual environment and the physical sand table are achieved, and dynamic simulation and verification of the urban inland inundation process are achieved on the whole. Wherein the twinborn model is composed of a pipe network model, a road model and a building model. According to the invention, real-time mapping and interaction of the physical experiment and the virtual model of the urban drainage system can be realized.

The invention discloses an arid region groundwater reserve estimation method and system based on multi-source remote sensing data, and relates to the technical field of groundwater monitoring, and the method comprises the steps: collecting land water reserve data and remote sensing image data of a target arid region, obtaining a land water reserve change sequence according to the land water reserve data, carrying out the region weighting of the target arid region, and obtaining a target arid region groundwater reserve change sequence; obtaining a land water reserve change sequence of the target arid region; based on the remote sensing image data of the target arid region, using a digital elevation model to obtain a surface water reserve change sequence of the target arid region, using a land surface process model to obtain a soil water reserve change sequence of the target arid region, and establishing an underground water reserve model of the target arid region; and performing error analysis on an output result of the groundwater reserve model by using a Monte Carlo simulation method. According to the method, through collaborative inversion of multi-source remote sensing data and integration of the groundwater reserve models, accurate quantification of spatial-temporal dynamic of the groundwater reserves in the arid region is realized.

The invention discloses an airport area underground water and surface water system coupling seepage regulation and control method and system, and the method comprises the steps: employing a multi-source data fusion investigation mode to find out regional stratum and structure characteristics, and determining an underground water occurrence migration rule and a surface water and underground water supplement and drainage relation; constructing a coupling seepage model of the underground water and the surface water system under the current condition by applying a numerical simulation method, and defining a dynamic association mechanism of the underground water and the surface water system in time and space; based on a simulation result, determining a transformation scheme that a main stream adopts a double-hole box culvert and a branch stream adopts a single-hole box culvert, and arranging an electric gate at the box culvert; arranging monitoring points of groundwater level, pore water pressure and surface water system flow in combination with field spring water and well distribution, and constructing a cooperative monitoring network; the coupling seepage law of underground water and surface water systems is analyzed based on monitoring data, and the opening degree of a box culvert electric gate is dynamically adjusted to control rising of the underground water level in the flood period. The stability of a water system in an airport area is ensured.

The invention discloses a segmented multi-source shoreline extraction and calibration method and system based on physical prior, and particularly relates to the technical field of remote sensing image processing and computer vision, a consistency evaluation and reliability measurement mechanism of a multi-source surface water product is integrated on a data level, and a high-quality training sample set is constructed by using water persistence characteristics; on the model level, a feature extraction framework fusing physical prior guidance and a geometric self-adaptive operator is researched and developed, a multi-dimensional physical constraint and noise tolerance loss function is constructed, and pixel-level accurate recognition and topological rigorous quality closed-loop calibration of a shoreline under a large-range remote sensing image are achieved.

The invention discloses a closed pit mine water pollution four-water conjugate cooperative monitoring and early warning method and system, and relates to the technical field of water quality analysis, and the method comprises the following steps: collecting water level and water quality data of corresponding positions of atmospheric precipitation, surface water, underground water aquifer and goaf ponding; performing format standardization, exception elimination, deletion processing and space-time alignment on the monitoring data, and constructing a four-water monitoring space-time data set; a four-water conjugate coupling analysis and prediction model is established, after training is completed based on historical monitoring data, the water level and water quality of each monitoring point are predicted, and pollution transmission paths and pollution lag characteristics among four types of water bodies are identified; and performing over-threshold judgment by combining the monitoring index and the early warning threshold, and outputting graded early warning and intervention regulation and control suggestions. According to the technical scheme of the invention, four-water integrated dynamic monitoring, pollution evolution rule identification and prospective early warning of the closed pit mine are realized, and the water pollution risk management and control precision and response efficiency are improved.

The invention belongs to the technical field of tunnels, and particularly relates to a treatment method for a building door tunnel penetrating a karst underground river reach, which comprises the following steps: step 1, multi-source geophysical prospecting fusion investigation: aiming at the tunnel karst underground river reach and the range of 500m around the tunnel karst underground river reach; the method comprises the following steps of: delineating a karst abnormal area by adopting semi-aviation transient electromagnetism; screening a strong corrosion area by adopting a depression analysis method; verifying parameters of the abnormal area through surface drilling and coring; identifying surface hydrology, lithology and seepage data characteristics through unmanned aerial vehicle-mounted high-resolution multispectral and thermal infrared cooperative remote sensing; karst water dynamic conditions including underground water flow velocity, flow direction and permeability coefficient, corrosion evolution characteristics including cavern forming time and expansion rate, and key physical and mechanical parameters including cavern filler porosity, permeability coefficient, surrounding rock integrity coefficient, uniaxial compressive strength, elastic modulus and Poisson's ratio are obtained. According to the treatment method for the building door tunnel to penetrate through the karst underground river section, the karst space characteristics are clearly presented through the arrangement of the treatment method for the building door tunnel to penetrate through the karst underground river section.

The invention discloses a river and lake dike long time sequence vertical settlement monitoring method comprising the following steps: carrying out data preprocessing on long time sequence satellite SAR data to obtain VV and VH data or HH and HV data in a dike protection range; extracting a water body, calculating the frequency of the target area monitored as the water body, and performing permanent surface water and other surface features distinguishing on the frequency by setting a specified distinguishing value to generate a land mask; classifying VV or HH single-polarized data of different data sources and satellite incidence angles, and then extracting the vertical settlement of a dike range mask area by adopting a time sequence InSAR method based on a high-resolution DEM and stable ground actual measurement points or PS points with small settlement; correlation analysis is carried out, vertical settlement data which meet correlation conditions and are obtained based on different data sources and satellite incidence angles are fused, and vertical settlement information of the dike is obtained. According to the invention, the vertical settlement data in the river and lake dike management range can be efficiently and accurately obtained.

The invention discloses a seawater tritium activity monitoring pretreatment device based on membrane separation, and relates to the technical field of surface water and seawater treatment.The seawater tritium activity monitoring pretreatment device comprises a raw water tank, a primary water treatment module, a water storage tank, a secondary water treatment module, a water producing end and a concentrated water discharging end; a concentrated water outlet of the first-stage water treatment module is communicated with an inlet of the concentrated water discharge end, and a produced water outlet of the first-stage water treatment module can be communicated with a produced water end, or an inlet of the water storage tank, an outlet of the water storage tank is communicated with an inlet of the second-stage water treatment module, and a concentrated water outlet of the second-stage water treatment module is communicated with an inlet of the concentrated water discharge end; a produced water outlet of the secondary water treatment module is communicated with a produced water end, and an outlet of a concentrated water discharge end can be communicated with a raw water tank and a water storage tank. Under the condition that the raw water is insufficient, the use amount of the raw water is reduced, the overall efficiency of the water purification system is improved, the quality of produced water is ensured, and the accuracy of subsequent seawater tritium activity monitoring is ensured.

The invention discloses a construction method for an inner dumping site of a strip mine in a water-rich area, which comprises the following steps: when the dumping position and height of a dumping step of the inner dumping site reach design requirements for the first time, constructing a first group of water retaining and combing units on a slope surface of the dumping step, and extending two ends of each water retaining and combing unit to end slope positions on two sides of the strip mine; a pumping well is arranged at the junction of each water retaining and combing unit and the corresponding end slope; after the first group of water retaining and combing units is constructed, the dumping steps continue to advance, after the first group of water retaining and combing units reaches the grouping distance, the second group of water retaining and combing units are constructed again by the same method, and the water retaining and combing units constructed between different groups of adjacent steps are not connected in the vertical direction; and after the second group of water retaining and combing units are constructed, continuing to construct the subsequent water retaining and combing units according to the method and the like. Not only can the communication of an underground water system near the inner dumping site be ensured, but also the influence of underground water and surface water on the inner dumping site and the pit bottom can be avoided.

The invention relates to a surface water sanitation dynamic monitoring method and system based on an Internet of Things large model, and the method comprises the steps: collecting surface water parameters, the surface water parameters comprise dissolved oxygen, pH, ammonia nitrogen, chemical oxygen demand and total organic carbon; converting the surface water parameters into a water quality semantic vector; inputting the water quality semantic vector into an inference model deployed on a consumer server to obtain a surface water analysis result, the reasoning model is obtained by training a light-weight large model based on a preset data set, the light-weight large model adopts an LLaMA-7B model as a base model, and a LoRA adaptation layer is introduced behind each MLP layer of Transformer. According to the method, the surface water sanitation dynamic monitoring can be operated efficiently and in real time on edge computing equipment such as a consumer-level graphics card, so that the deployment cost is greatly reduced, and the response speed is increased.

The invention discloses a drainage pipe network multi-modal data analysis method for urban inland inundation prevention and control, and belongs to the technical field of urban inland inundation prevention and control. According to the method, satellite remote sensing surface ponding images, drainage pipe network liquid levels, regional meteorology, public ponding crowdsourcing information and terrain elevation and pipe network attribute data are collected and integrated into a multi-dimensional original data set; after cleaning and standardization processing, mining waterlogging associated features by using an adaptation algorithm, and establishing a coupling relation model; waterlogging risk reasoning is carried out based on the model, and graded early warning information and pump station scheduling, pipe network dredging and emergency dredging path schemes are generated; and performing visual analysis on a result, and dynamically optimizing a model and a scheme according to real-time updated data. According to the scheme, waterlogging influence factors are comprehensively covered, the accuracy of risk assessment and prevention and control decision is improved, dynamic changes of waterlogging are adapted, and the initiative and systematicness of urban waterlogging prevention and control are enhanced.

The invention provides a decapterus maruadsi deepwater net cage culture method, and belongs to the technical field of decapterus maruadsi culture. According to the method, the submersible net cage is adopted, the decapterus maruadsi is located in the optimal growth water layer at the temperature of 20-25 DEG C all the year round according to rising and falling of seasons (surface water temperature), a guide pipe is adopted for fixed-point feed feeding, and the feed coefficient is reduced to 1.25 or below. According to the method, a water temperature-feeding amount-allicin-probiotics coupling model is established, the enteritis incidence rate in the high-temperature period is controlled within 2%, and annual continuous growth of decapterus maruadsi in deep and far sea is achieved.

The invention provides a device for simulating the vertical migration rule of oil and gas field ground pollutants and a simulation method, and relates to the technical field, the device comprises a soil column leaching module, a spraying module and an underground water control module, the soil column leaching module and the underground water control module are both arranged in an underground foundation pit, and the soil column leaching module comprises a soil column experiment device; a sensor device is inserted into the soil column experimental device, the sensor device is electrically connected with the data acquisition device, the soil column experimental device is provided with a soil sampling window, the spraying module comprises a spraying pipe, one end of the spraying pipe is communicated with the reservoir, and the other end of the spraying pipe extends above the soil column experimental device. On the basis that only surface water is concerned to drive pollutant migration originally, the underground water control module and the water supply Markov bottle are additionally arranged, and fluctuation of the underground water level can be achieved; long-term and continuous in-situ monitoring of soil moisture in-situ data can be achieved in real time, non-destructive collection of samples can be achieved, and the research quality of the vertical migration rule of oil and gas field ground pollutants is improved.

The application relates to the technical field of remote sensing image intelligent interpretation, in particular to a multi-modal multi-temporal surface water probability vacancy filling method and device, wherein the method comprises the following steps: acquiring a target data set of multi-modal multi-temporal surface water probability vacancy filling which meets preset conditions in a target region; performing surface water probability vacancy filling processing on the target data set by using a target deep neural network model to generate a surface water probability graph without vacancy; training the target deep neural network model by using a target generative adversarial network to generate a trained model, and performing target image enhancement processing on the surface water probability graph without vacancy to generate a multi-modal multi-temporal surface water probability filling image which meets preset enhancement conditions. Therefore, the problems that in the related art, non-continuous pixel value data required for surface water mapping cannot be processed, sufficient high-quality training samples are lacked, the generalization ability of the model is insufficient, and the accuracy and reliability of surface water mapping are reduced are solved.

The application discloses a water quality and soil detection and analysis method and system based on multi-standard automatic evaluation and belongs to the technical field of environmental monitoring data processing. The system comprises a data import module, an intelligent identification module, a batch sample processing module, a multi-standard evaluation module, a comprehensive analysis module, a water chemistry verification module and a result output module. The system automatically analyzes the Excel table structure through an intelligent identification algorithm, extracts index names, units, detection results and background values, supports batch sample format identification, can analyze multiple samples at a time, integrates three environmental quality standards of underground water GB / T 14848-2017, surface water GB 3838-2002 and soil GB 36600-2018, automatically performs quality classification evaluation, calculates single pollution index P i , exceeding multiple, Nemerow comprehensive pollution index P N , performs water chemistry anion and cation balance verification, Shukarev classification, TDS and hardness checking, and supports single sample and batch sample export and summary table generation. The application solves the problems of weak Excel data recognition ability, batch sample processing difficulty, lack of multi-standard automatic switching, single comprehensive evaluation method and insufficient data quality checking in the prior art, and greatly improves the efficiency and accuracy of detection data analysis.

1. The name of the design product: water quality online monitor (C510 surface water). 2. The use of the design product: for environmental monitoring equipment. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The top surface of the design product is not easily visible or invisible during use, and the plan view is omitted; the bottom surface of the design product is not easily visible or invisible during use, and the bottom view is omitted.

The invention discloses a water resource optimal configuration method and device based on joint scheduling and a medium, belongs to the technical field of water resource management, and is used for solving the technical problems that in existing water resource scheduling, the monitoring dimension of water resources is single, the fusion capability is insufficient, dynamic hydrology and extreme events are difficult to adapt, and the scheduling efficiency of the water resources is low. The method comprises the following steps: carrying out data acquisition processing on underground water and surface water in a target area under multi-dimensional perception to obtain water resource multi-modal data; performing space-time alignment and uncertainty calibration processing on the multi-modal data of the water resource; hydrological prediction processing related to underground water and surface water is carried out on the water resource multi-modal data, ecological evaluation processing is carried out on the target area, and a hydrological prediction and ecological evaluation result is obtained; performing screening processing on the water resource scheduling scheme under regret value constraint to determine an optimal water resource scheduling scheme; and executing the optimal water resource scheduling scheme.

The utility model discloses an automatic surface water monitoring system, which comprises a sampling module for sampling a water body and conveying the sampled water body, and is characterized by comprising a precipitation module and a first measurement module which are connected with the sampling module, and a conveying module arranged on the precipitation module, and the second measuring module is connected with the precipitation module through a conveying module. The sedimentation time of the sampling water body in the second sedimentation tank is prolonged according to the turbidity of the water body, the turbidity of the sampling water body is further reduced, the influence on the total phosphorus measuring unit in the second measuring module is reduced, and the data accuracy of the total phosphorus measuring unit is improved.

This invention discloses an immersion-type cavern data center based on a water diversion tunnel, and its construction and operation methods, belonging to the technical field of cavern data centers. The data center includes a surface water system and a water diversion tunnel. A dam is installed on the surface water system. The water diversion tunnel is located within a mountain (A) on one side of the surface water system, downstream of the dam. The inlet of the water diversion tunnel is connected to the outlet of the dam via a surface ditch. Several sunken data troughs are spaced longitudinally along the bottom surface of the water diversion tunnel. Sealed data chambers are placed within these troughs. A track is installed longitudinally along the arch of the water diversion tunnel, and a movable suspension device is mounted on the track. The actuator of the movable suspension device is equipped with a data chamber grasping device. The sealed data chambers undergo immersion cooling within the sunken data troughs in the water diversion tunnel, significantly improving the cooling effect and greatly reducing the energy consumption of the data center.

The application discloses a railway double-layer frame pier drainage structure, which comprises a lower cross beam and an upper cross beam, the lower cross beam and the upper cross beam are parallel to each other, the upper end of the lower cross beam is provided with a lower layer beam body, the upper end of the upper cross beam is provided with an upper layer beam body, the upper end of the lower cross beam is provided with a lower drainage structure, the upper end of the upper cross beam is provided with an upper drainage structure, and the outer side of a pier column of the double-layer frame pier is provided with a vertical drainage structure. The upper cross beam is provided with a water retaining table on the outer side in the direction of the line, so that the surface water on the upper cross beam is discharged from the two ends of the upper cross beam along the water retaining table, and the problem that the lower layer line driving is affected by the ice falling from the double-layer frame pier in winter is solved. The upper and lower layer combined drainage pipes are arranged along the top surfaces of the upper and lower cross beams and the outer side of the pier column of the double-layer frame pier, the problem that the lower layer line driving is affected by the falling of the drainage pipes of the frame pier is solved, the upper cross beam drainage pipes are located between the water retaining tables, and the damage risk of the upper cross beam drainage pipes caused by the longitudinal wind load is reduced.

The invention relates to the technical field of environmental monitoring, and discloses a water quality monitoring device and method adapted to various environments, the device comprises an optical measurement unit, the optical measurement unit comprises a light source, a water sample flow cell and a spectrum detector, and two sides of the water sample flow cell are provided with at least one group of movable light windows and photoelectric positioning plates; the mechanical adjusting unit comprises a driving motor, a lead screw transmission mechanism driven by the driving motor, a light window support connected with the lead screw transmission mechanism and a position sensing module used for detecting the position of the movable support. The lead screw transmission mechanism comprises a lead screw and a movable sliding block arranged on the lead screw in a sleeving mode, and the movable sliding block is fixedly connected with the light window support. By automatically switching the optical path, the instrument can accurately measure low-concentration surface water and can also measure high-concentration sewage, so that the measuring range of single equipment is effectively expanded, and the accuracy of measured data in the whole measuring range is ensured.

The invention relates to the technical field of marine environment simulation and risk assessment, in particular to a calculation method for simulating a blockage particle trajectory. The calculation method for simulating the particle trajectory of the blockages comprises the steps that a wave flow coupling model is constructed according to a grid file, and the grid file is constructed through a surface water simulation system; in a particle tracking module of the wave-flow coupling model, adjusting particle parameters of blockage particles according to the dynamic characteristics of the blockage; operating the particle tracking module to obtain simulated trajectory data of the blockage particles after particle parameter adjustment; and according to the simulated trajectory data, counting the number and probability of the blockage particles entering the predetermined range of the nuclear power station water intake so as to predict the blockage risk of the nuclear power station water intake. According to the calculation method, the drifting trajectory of the blockage object can be accurately simulated, the risk that the water intake is blocked is predicted, and a reliable quantitative basis is provided for water intake safety early warning and protection decision making of the nuclear power station.

The invention provides a surface water-underground water integrated simulation method and system coupled with a glacier module, the method is based on an extended SWAT-GL model, rainfall, accumulated snow melt water and glacier melt water are jointly used as daily effective rainfall input, infiltration supply and river water level are transmitted to MODFLOW through a daily interface, and the water level of the MODFLOW is effectively simulated. And simulating underground water head change and surface water-underground water exchange capacity by utilizing a three-dimensional underground water flow equation, and feeding back a result to SWAT-GL river water balance, thereby realizing bidirectional dynamic coupling of the glacier-accumulated snow-surface-underground water whole process. The system breaks through the limitation that glacier mass balance and groundwater dynamics are difficult to depict synchronously in cold region simulation, can reveal a supply and regulation mechanism of glacier melt water to a groundwater system under the driving of climate change under a fine time scale, and remarkably improves the simulation capability of a cold region water circulation key process.

The invention provides an earth surface two-dimensional hydrodynamic force and SCS curve number method-based infiltration coupling simulation algorithm, which comprises the following steps: aiming at each grid node of an earth surface two-dimensional hydrodynamic force algorithm, on the basis of a known current earth surface water accumulation amount, not considering infiltration, executing earth surface two-dimensional hydrodynamic force calculation of a next calculation period in advance, and calculating the earth surface two-dimensional hydrodynamic force; judging whether a newly-added water source containing infiltration, an existing water source and specific values thereof exist or not; on the basis of an SCS curve number method, the infiltration water amount for the newly-added water source in the next calculation period is obtained through calculation, then the infiltration water amount for the existing water source in the next calculation period is obtained through calculation, and therefore the actual infiltration water amount in the next calculation period is determined; and correcting and executing the earth surface two-dimensional hydrodynamic calculation of the next calculation period according to the actual infiltration water amount to obtain the earth surface water accumulation amount after the next calculation period. The problem that an existing earth surface two-dimensional hydrodynamic algorithm neglects the water seepage amount can be solved.

The invention provides a mining area surface water area mining influence evaluation method and device, equipment and a medium, and the method comprises the steps: obtaining remote sensing images of a target mining area before and after mining, and carrying out the spectral feature enhancement of the remote sensing images to obtain a normalized water body index; performing rough identification on the surface water area based on the normalized water body index to obtain a suspected water body area; performing fine identification on the suspected water body area to obtain a high-precision surface water area classification result; performing post-processing on the high-precision surface water area classification result; according to the total area of the surface water area before mining and the total area of the surface water area after mining, indexes of the surface water area influenced by mining of the target mining area are calculated, a quantitative evaluation result is output, the spatial integrity and boundary precision of water body recognition are improved, and the defects that a traditional remote sensing method is prone to noise interference and the extraction result is rough are effectively overcome; the evaluation method which is low in cost, automatic, quantitative and high in safety is realized, and powerful decision support is provided for protection of the surface water area of the mining area.

The utility model discloses a concentrated big well surrounding water recovery device, which comprises a first vertical cylinder, backfill gravel, a cover plate, a second vertical cylinder, a blind plate and a concentrated big well overflow pipe, the first vertical cylinder is embedded in the ground, the top end of the first vertical cylinder is provided with the cover plate, and the first vertical cylinder is provided with a plurality of uniformly distributed holes. The flange is welded to the second vertical cylinder, the blind plate with the same size is installed on the flange through the bolt, the blind plate is closed when surface water does not exist, the blind plate is opened when surface water or rainfall exists, recovery of rainfall and surface water is achieved, and backfilled gravel on the outer side of the first vertical cylinder can meet the water seepage filtering requirement of the outer side of the first vertical cylinder. During production of the large concentration well, overflow water crosses the overflow edge of the large concentration well and enters the overflow pipe of the large concentration well on the wall of the large concentration well, and when surface water is too much or rainfall exists, the blind plate on the second vertical cylinder flange is opened, so that the surface water and the rainfall enter the overflow pipe of the large concentration well to form water resource recovery.