275 results about "Rain gauge" patented technology

The invention provides a hydropower station natural disaster intelligent early warning and emergency decision-making method and system based on multi-source data fusion and dynamic threshold optimization, and the method comprises the steps: collecting the water regimen data of a hydropower station and a drainage basin in real time through the deployment of a water level gauge, a rain gauge, a wind speed sensor and a thunder and lightning monitoring device, and combining weather forecast data and historical hydrological data, thereby achieving the intelligent early warning and emergency decision-making of the hydropower station. And dynamically calculating a disaster threshold value, and generating a graded early warning signal. The system comprises a data acquisition module, a dynamic threshold matching module, an early warning generation module, a case retrieval module, an information issuing module and a response tracking module. The early warning threshold is dynamically adjusted through multi-source data fusion and a machine learning technology, and the early warning accuracy is improved; a historical case library is constructed by using a knowledge graph technology, and intelligent recommendation of a disaster disposal scheme is realized; and early warning information and disposal suggestions are directionally pushed through multiple channels, so that the emergency response efficiency is improved. The conversion from passive response to active early warning is realized, and the influence of natural disasters on the operation of the hydropower station is obviously reduced.

The invention relates to the technical field of rainstorm early warning, in particular to a deep learning-based rainstorm terminal early warning method and system, which introduces an image perception and semantic recognition mechanism to carry out consistency judgment on an overturning state of a rain gauge and image features such as a rain curtain and a water mark so as to realize effective elimination of unnatural trigger factors (such as manual water pouring and the like). And the reliability of rainfall sensing data is improved. A double-branch deep learning model capable of being deployed locally is adopted, multi-source data such as rainfall, temperature and humidity and topographic factors are fused, feature extraction and recurrence period prediction are performed based on a cross attention mechanism, and a threshold correction coefficient is dynamically generated in combination with historical events, so that self-adaptive adjustment of an early warning standard is realized, and misinformation and missing report risks are effectively reduced. The system supports low-power-consumption local operation, early warning decision is executed, and timeliness and accuracy of local early warning response are effectively improved.

The invention provides a power grid equipment large-range progressive real-time flood forecasting method based on a three-water-source Xinanjiang model, which abandons a basin homogenization hypothesis of a traditional lumped model, divides a target basin into subunits with spatial uniqueness and topological connectivity through a Thiessen polygon method, and accurately matches underlying surface spatial differentiation features; according to the method, the limitation of single parameter calibration is broken through, an NSGA-I I multi-objective optimization algorithm is adopted to be combined with historical flood data, a parameter optimization system containing multiple indexes such as a flood peak flow error and a peak present time error is constructed, a Pareto optimal solution set is generated, a parameter knowledge base is constructed in a classified mode, and the problem of poor parameter adaptability is solved; a geographically weighted regression method is used for fusing satellite remote sensing, ground rainfall station and hydrometric station data, a dynamic correction mechanism is established, model input is updated every 30 minutes, and the rainfall runoff calculation temporal-spatial resolution is remarkably improved; after subunit outlet flow riverway convergence calculation is completed based on a Muskingum method, power grid equipment space distribution and vulnerability threshold values are innovatively associated.

The invention discloses a deep learning-based less-data small-watershed water level forecasting method. The method comprises the following steps of: acquiring historical hourly rainfall data of a plurality of upstream rainfall stations of a small watershed and historical hourly water level data of a downstream water level station; preprocessing the acquired data, and screening rainfall sessions with the rainfall capacity of over 15mm per hour within 24 hours and corresponding water level data; the method comprises the following steps: performing data enhancement through a double-generation GAN model, generating simulated rainfall data by a first GAN model by taking white noise as input, generating simulated water level data by a second GAN model by taking rainfall data as input, combining historical data and simulated data, performing normalization, and dividing the data into a training set, a verification set and a test set according to a proportion; constructing a CNN-LSTM hybrid prediction model, training the model by taking a Nash coefficient as an optimization target, and verifying the prediction model by adopting a progressive verification strategy; and deploying the model for real-time water level prediction to obtain a water level prediction result. The method can break through the bottleneck of few data, and achieves the high-precision mountain torrent early warning of the small watershed water level.

The invention relates to the technical field of reflectivity factor testing, and discloses a weather radar reflectivity factor precision calibration testing system, which comprises a radar data acquisition module for acquiring reflectivity factor data and finishing time synchronization by adopting an IEEE1588 protocol; the reference data management module is used for generating an electronic reference data set by utilizing a block chain technology; the calibration processing module is used for performing multi-source joint correction on the reflectivity factor data, the rain gauge data, the standard meteorological target template and the environmental parameters, and outputting the corrected reflectivity data; the precision verification module is used for carrying out real-time precision test on the correction data based on a sliding window, continuously generating test results, forming a precision evaluation vector by adopting weighted average, extracting a quality index to obtain a comprehensive score, and judging whether the correction data is normal or abnormal; and the alarm and report module is used for triggering graded alarm in case of abnormity and generating a calibration certificate and a test report. According to the invention, the precision monitoring capability is improved, manual judgment errors are reduced, and the operation efficiency is improved.

The invention discloses a flood forecasting method for constructing a dynamic unit line library based on rainfall flood data feature classification. The flood forecasting method comprises the following steps: S1, collecting historical data; s2, data cleaning and preprocessing; s3, constructing a flood data classification model; s4, unit line calculation and storage; s5, real-time flood forecasting; s6, performing visualization and verification; the method comprises the following steps: receiving short-term rainfall forecast of a meteorological department in real time, synchronously acquiring measured data of a rainfall station and a water level station in a drainage basin, counting current early-stage influence rainfall, performing feature analysis, establishing a CNN + K-means model, dynamically outputting a forecast result, generating a forecast flood hydrograph according to a calculation process, and continuously performing automatic rolling forecast according to real-time data. A forecasting result is automatically updated, and a real-time data and forecasting result chart is generated; a more scientific basis is provided for flood control decision making, and disaster loss caused by defects of a traditional method is effectively reduced.

The invention discloses a rainfall station network layout method, and relates to the technical field of hydrometric station network layout, and the method comprises the steps: obtaining the rainfall data of a historical rainfall station network in a target region, the historical rainfall station network comprising a plurality of rainfall stations; extracting spatio-temporal characteristics of the rainfall data, and obtaining a rainfall prediction value of each spatial unit based on the spatio-temporal characteristics; obtaining prediction precision and a mutual information mean value based on the rainfall prediction value, constructing a fitness function based on the prediction precision and the mutual information mean value, and obtaining an optimal solution based on the fitness function; and obtaining a target rainfall station network layout result based on the optimal solution. The method solves the problems that an existing rainfall station network layout method is insufficient in spatial-temporal feature capture capability, is easy to fall into a local optimal solution due to dependence on a certain heuristic algorithm, and is low in optimization efficiency and cannot effectively balance and collaboratively optimize multiple targets.

The utility model relates to the technical field of rainfall simulation, in particular to an artificial rainfall simulation device which comprises a water supply system, a control system, an intelligent terminal system and an acquisition system. The water supply system comprises a water tank, a water pump, a water inlet pipe and a rainfall sprayer. The water pump is arranged on the water inlet pipe and used for pumping water in the water tank to the rainfall sprayer. A control valve is arranged on the rainfall spray head; the intelligent terminal system is used for man-machine interaction, communication with the control system is realized by connecting a local area network built by the system, and data of the intelligent terminal system can be timely transmitted to the control system; the acquisition system comprises a rain gauge and a pressure sensor. The pressure sensor is arranged on the water inlet pipe and used for collecting the pressure value of the water inlet pipe. And the rain gauge is arranged below the rainfall spray head and is used for collecting rainfall. The device has the effect of facilitating rainfall research by simulating artificial rainfall.

The invention discloses a multi-source rainfall measurement product data fusion method, system and device and a medium, and belongs to the technical field of meteorological data processing, and the method comprises the steps: obtaining meteorological satellite rainfall measurement data, weather radar rainfall measurement data and ground rain gauge rainfall measurement data, and constructing a multi-source rainfall data set; performing preprocessing through the multi-source rainfall data set to obtain satellite rainfall data with a unified coordinate system and resolution, radar rainfall data after noise reduction and rainfall gauge rainfall data after interpolation completion; and in combination with the preprocessed multi-source rainfall data, constructing a time-space consistency data set. According to the method, meteorological satellite, radar and rain gauge data are integrated, a multi-source rainfall data set is constructed, a coordinate system and resolution are unified, noise reduction interpolation ensures time-space consistency, a Kriging interpolation method is adopted to fuse data, resolution and accuracy are improved, an evaluation model is subjected to cross validation, and accurate support is provided for weather forecast and disaster prevention and reduction.

The invention relates to the technical field of meteorological monitoring, and discloses a rainfall early warning method and system based on a weather radar, and the method comprises the steps: obtaining weather radar body sweeping arrival base data and rainfall station observation data, carrying out the alignment, carrying out the meshing of the radar base data, and obtaining the grid echo data; constructing a quasi-vertical profile to determine the height range and uncertainty of the melting layer, and carrying out weighted bright band correction on echoes in the melting layer to obtain corrected echo data; determining rainfall type partitions and performing inversion to obtain a radar rainfall intensity field; according to the rainfall station data and the radar rainfall intensity field, station residual data is obtained, a space deviation field is obtained, and finally a calibration rainfall intensity field is obtained; determining an accumulated precipitation field of each member according to the calibrated rainfall field; and obtaining an over-threshold probability published by early warning according to the accumulated precipitation field of each member, and outputting precipitation early warning information when a probability threshold is continuously met. According to the invention, the rainfall intensity overestimation and false alarm jitter are reduced, and the accuracy and stability of short temporary rainfall early warning are improved.

The invention relates to the technical field of side slope monitoring, and particularly discloses a side slope real-time deformation monitoring system based on multi-sensor fusion, and the system comprises a data collection module which is disposed on a road side slope and is used for collecting multi-source monitoring data; the data transmission module is in communication connection with the data acquisition module and is used for remotely transmitting the multi-source monitoring data to a monitoring center; the data processing and early warning module is deployed in a monitoring center; a data fusion unit; a prediction and early warning unit; the system aims to solve the problem of large limitation of a single sensor monitoring means in a complex environment, the system realizes full-dimensional cooperative monitoring of a slope by fusing multi-source monitoring data of a foundation I nSAR, a fixed inclinometer array, a soil pressure sensor, a pore water pressure sensor, a rain gauge and the like, and the slope monitoring accuracy is improved through multi-sensor data fusion analysis. The error of performance reduction of a single sensor in a complex environment is effectively overcome, the comprehensive state of the slope is accurately obtained, and the reliability and precision of slope disaster early warning are remarkably improved.

A collapsible rain gauge for detecting precipitation gradients with connection to a PC assembly includes a mounting frame, a measuring part and a recording mechanism, whereby: – the mounting frame includes a table base (1) with legs, on which a mounting rod (2) is attached, on which a metal eyelet (3) is attached, next to the table base (1) is a support column (10) with a holder (9) of a funnel (8); – the measuring part contains a spring (4) with hooks, which is fixed on one side in the metal eyelet (3) of the fixing rod (2) and on the other end of the spring (4) a cable (13) is fixed, on the opposite end of which a container (5) for collecting precipitation with a bottom lined with soft suction material (7) is suspended by a hook (6) and a funnel (8) for collecting rainwater is fixed to the container (5) through a tube (11) which is fixed in an S-shape using fixing cables (16);– the recording mechanism includes a rotary optical encoder (12) with an axis that is connected to the converter (14) via cables (15), which is connected to the computer assembly (17) via cables (15); the measuring part being equipped with protective walls: side walls (18a) and top wall (18b) for protection against rain. The method of measuring precipitation with this device is described below.;

The utility model discloses a tipping bucket type rain gauge convenient to fix, which comprises a rain gauge body, a protective device is arranged on the outer side of the rain gauge body, the protective device comprises a protective cover, a base, a rain bearing device and supporting legs, the protective cover is installed above the base, the supporting legs are installed below the base, the rain bearing device is connected to the top end of the protective cover, and the rain bearing device is connected with the base. A fixing device is arranged on one side of the supporting leg and comprises a fixing plate, a fixing sleeve, a fixing rod, a fixing block, a push spring, a push plate, a fixing groove and a sliding groove, the fixing plate is arranged below the supporting leg, the fixing block is clamped in the fixing groove, the push plate is connected with the fixing sleeve through the push spring, and the sliding groove and the fixing groove are formed in the inner wall of the fixing sleeve. A positioning mechanism is arranged on the outer side of the fixing rod and comprises a longitudinal groove, an annular groove, a positioning groove, a positioning sleeve and a positioning rod, the bottom end of the longitudinal groove is communicated with the annular groove, the positioning groove is formed in the annular groove, the positioning rod is arranged on the side wall of the fixing sleeve, and the fixing device is convenient to fix and stable in structure and has a protection function.

The invention belongs to the technical field of intelligent equipment, and discloses a support for a rain gauge, which comprises a base and a mounting plate, the base is connected with the rain gauge, the mounting plate is connected above the base, and the mounting plate is used for mounting a terminal. The base comprises a connecting part, a supporting part and a supporting plate, an open hole is formed in the connecting part, the mounting plate is an L-shaped plate and comprises a mounting plate I and a mounting plate II which are vertically arranged, and an open hole is formed in the mounting plate II and fixedly connected with the open hole in the supporting part through a bolt and a nut. The invention further discloses a rain gauge which comprises an outer cylinder, a tipping bucket component and a terminal. A tipping bucket component and a terminal are arranged in the outer cylinder, the tipping bucket component measures rainfall flowing into the tipping bucket component and transmits data to the terminal, and the terminal is connected with the tipping bucket component through a support. The pluviometer is stable in installation, accurate in monitoring, ingenious and reasonable in structural arrangement, capable of fixedly installing the telemetering terminal, free of additional trepanning, reusable in parts, convenient to install and fix, convenient to transform, low in cost and suitable for application and popularization.

The application discloses a kind of foreign matter intrusion perimeter monitoring early warning system and method, system includes that sensor perception system, data acquisition sending system and power supply energy storage system are connected by line, the sensor perception system, data acquisition sending system and power supply energy storage system are laid in the adjacent area of foreign matter intrusion perimeter, the sensor perception system includes monitoring column, monitoring crossbar, rain gauge and camera, the monitoring column is multiple, and it is evenly distributed along horizontal plane, the monitoring crossbar is erected on two adjacent monitoring columns, the rain gauge is arranged on the left side of first monitoring column, and the camera is arranged between monitoring column and the rain gauge.The application can make a response to the specific paragraph of landslide, scale and the like in time, the probability of causing false alarm is low, effectively solve the problem of foreign matter intrusion perimeter monitoring and early warning, the application can realize dynamic monitoring and early warning to foreign matter intrusion perimeter, method has higher reliability, and it is worth promoting.

The utility model discloses a modularized rainwater collecting device, and belongs to the technical field of rainwater collection. The system is composed of a rain gauge, a classified storage module, a classified collection module and a control module, the modules are stacked in sequence, and the control module is connected outside the classified collection module. The rain gauge module comprises a first shell, a rain collecting funnel and a tipping bucket type rain gauge below the rain collecting funnel, and when a threshold value is reached, a tipping bucket rotates to generate a power signal. The classified storage module is provided with a second shell, a receiving funnel, an electric classified five-way ball valve and four rainwater collecting bins, and an outlet of the ball valve is connected with the rainwater collecting bins. The classified collection module comprises a third shell, an electric collection five-way ball valve, an electric three-way ball valve, a flow meter, a drainage pipe and an electric rotating disc with a rainwater collection container. The control module is electrically connected with all the components and controls the corresponding ball valves according to electric signals of the tipping-bucket rain gauge and the like, and rainwater is collected according to the rainfall intensity. The purpose of collecting rainwater according to the rainfall intensity can be achieved.

The invention relates to the technical field of mine disaster analysis, in particular to a method and a system for calculating critical rainfall of debris flow starting at an ore drawing port in a mine tunnel. The method comprises the following steps: constructing a coupling model of the surface rainfall and the underground water level; on the basis of the physical parameters of the ore drawing opening debris flow, a critical equilibrium condition model of fine particle blocking bodies in the ore drawing opening debris flow and a starting constraint condition model of the ore drawing opening debris flow are constructed; establishing a critical rainfall calculation model in combination with the coupling model, the critical equilibrium condition model and the starting constraint condition model; and solving the critical rainfall calculation model to obtain the critical rainfall for starting the debris flow at the ore drawing port in the mine tunnel. According to the method, the critical rainfall calculation model is established to accurately describe the complex relationship between the ore drawing opening debris flow and the rainfall, and the problem of accurately calculating the critical rainfall started by the ore drawing opening debris flow in the mine roadway is solved.

This application relates to an infrared instantaneous precipitation inversion method, apparatus, and electronic equipment based on operator learning. The method includes: preprocessing acquired satellite infrared radiation data and ground automatic rain gauge observation data to obtain multi-channel satellite infrared radiation data and their sampling point coordinates within the sensing field; constructing and training an infrared precipitation estimation operator network to obtain a trained infrared precipitation estimation operator network; and feeding the satellite infrared radiation data to be estimated into the trained infrared precipitation estimation operator network to obtain the local instantaneous precipitation rate at the point to be estimated. This method uses operator learning to construct a direct mapping from the infrared radiation field to the precipitation field, generating a spatially continuous precipitation estimation field. It can calculate precipitation values ​​at any location without interpolation and directly calculates model errors using the measured true values ​​of the stations, completely eliminating the uncertainty introduced by interpolation.

The utility model relates to the technical field of water conservancy parameter monitoring, in particular to a water conservancy flood control early warning device, and aims to solve the problem that a rain gauge in existing water conservancy flood control early warning is high in cost. The device comprises a water level gauge and a rain gauge, the rain gauge comprises a rainfall collector, a first tipping bucket, a second tipping bucket and a switching structure, the lower end of the rainfall collector is open, and the volume of a second metering groove of the second tipping bucket is larger than that of a first metering groove of the first tipping bucket; the switching structure comprises a switching driving assembly and a drainage piece, the drainage piece has a first state and a second state, and the switching driving assembly is used for switching the drainage piece between the first state and the second state. Under the condition of small rainfall, the drainage piece is in a first state, and rainwater in the rainwater collector is drained to the first tipping bucket; and under the condition of large rainfall, the switching driving assembly is started to drive the drainage piece to be in the second state, and rainwater in the rainwater collector is drained to the second tipping bucket, so that the rainfall measurement accuracy is improved.

This invention discloses a multifunctional windproof cover for remote in-situ calibration of an environmental noise monitoring instrument, relating to the field of environmental noise monitoring technology. It includes a monitoring instrument host, with a fixed housing fixedly connected to the top of the host. A mounting shell is located on the top of the fixed housing, and a connecting block is fixedly connected to the top of the mounting shell. This multifunctional windproof cover for remote in-situ calibration of the environmental noise monitoring instrument innovatively constructs a detachable coupling cavity structure. The coupling cavity method enables in-situ automatic acoustic calibration of the environmental noise monitoring instrument. The microcontroller's functions include receiving calibration / end calibration commands from the host computer; controlling the disassembly and assembly of the coupling cavity through a motor drive module; controlling the sound source to emit sound signals of different frequencies through a sound source control module; collecting wind speed and rainfall information from an anemometer and rain gauge and feeding it back to the host computer; and feeding back the calibration results of the environmental noise monitoring instrument to the host computer.

The outdoor rainfall monitoring device comprises a cylinder body, a water collecting hopper, a tipping bucket rain gauge and a rotating shaft, an inner cavity is formed in the cylinder body, a containing cavity is formed in the top of the cylinder body in a concave mode, a through hole is formed in the bottom wall of the inner cavity, the water collecting hopper is fixedly arranged at the top of the containing cavity, and the water collecting hopper is eccentrically communicated with a dripping pipe. A filter screen covers the top of the water collecting hopper, the tipping bucket rain gauge comprises a measuring tipping bucket, the measuring tipping bucket is movably arranged below the water dripping pipe, through grooves are formed in the positions, below the two ends of the measuring tipping bucket, of the bottom wall of the containing cavity, the rotating shaft is rotationally arranged in the barrel, and a plurality of fan blades are fixedly arranged on the outer side wall of the rotating shaft at intervals in the through hole in the circumferential direction; and a cleaning brush is detachably arranged at the top of the rotating shaft above the filter screen. Through the arrangement, the cleaning brush rotates along with the rotating shaft by utilizing the kinetic energy of rainwater falling into the water collecting hopper, foreign matters adhered to the surface of the filter screen are scraped off, the situation that the rainwater cannot smoothly flow into the water collecting hopper due to the blockage of the foreign matters is avoided, and the accuracy of a detection result is improved.

This invention relates to the field of rainfall measurement technology, and particularly to a method for optimizing rain gauge location based on rainfall analysis. The invention divides all rain gauges into several rainfall sub-regions based on whether rainfall occurred at all stations during the same time period, and whether it was light or heavy rain. Rain gauges within each sub-region share strong rainfall commonalities. For rain gauges with the same rainfall commonalities, a neural network model is used to fit the rules between coordinate changes and rainfall changes. This neural network model can calculate rainfall in areas where no rain gauges are located. Then, using the arithmetic progression of rainfall from adjacent rain gauges as the optimization objective, a particle swarm optimization algorithm is used to adjust the location of rain gauges within each region. Because the adjustment is based on the existing conditions, it ensures reasonable rain gauge distribution and coverage while capturing as much varied rainfall as possible, significantly improving the accuracy of rainfall measurement within the region.

The invention provides an automatic weather station, component equipment and an operation entropy index calculation method of an automatic weather station network. The method comprises the following steps: acquiring the fault-free operation time and rain gauge maintenance time interval of each component equipment in the automatic weather station; according to the fault-free operation time of each component device and the rain gauge maintenance time interval, the operation entropy index and the operation fuzzy state of each component device in the automatic weather station are calculated, the operation entropy indexes and the operation fuzzy states of the automatic weather station and the automatic weather station network are calculated, and the operation state of the automatic weather station is evaluated in real time. Through the method of the invention, the operation states of each component of the automatic weather station, the automatic weather station and the automatic weather station network are evaluated, the operation risk is estimated, timely discovery, disposal and alarm are facilitated through monitoring alarm, and preventive measures are taken.

A siphon rain gauge system, comprising: a rain collector, a measuring cup, a siphon drain pipe, and a sensing unit. The rain collector provides an inlet for rainwater to enter and an outlet for collected rainwater to flow out. The measuring cup has a drain pipe directly connected to the outlet of the rain collector to collect the rainwater flowing out from the outlet. The siphon drain pipe is connected to the measuring cup for discharging the rainwater from the measuring cup. When the liquid level height of the rainwater in the measuring cup is greater than siphon drain pipe, the siphon drain pipe discharges the rainwater from the measuring cup. The sensing unit is disposed within the measuring cup or outside the measuring cup for sensing the liquid level height of the rainwater to generate a sensing signal, and the system calculates rainfall based on the sensing signal.

A rain gauge with self-calibration function includes a cylindrical body with an open top. A funnel is provided inside the cylinder, dividing the inner cavity of the cylinder into a water collection chamber and a measuring chamber from top to bottom. An ultrasonic probe for detecting water level is installed in the measuring chamber. The cylinder is supported by a mounting bracket, on which a weight sensor for weighing the cylinder is mounted. A calibration pipe and a calibration valve are provided on one side of the measuring chamber, and a drain pipe and a drain valve are provided at the bottom of the measuring chamber. The weight sensor, ultrasonic probe, calibration valve, and drain valve are all electrically connected to a data processing unit. Compared with the prior art, this application has the following beneficial technical effects: it has a self-calibration function, enabling online self-calibration with zero manual intervention and zero external equipment, thus maintaining long-term accuracy in liquid level detection.

The present invention discloses a method for monitoring water surface evaporation with rainfall compensation, comprising: obtaining a water level equilibrium lag time between the evaporation dish and the liquid level logging well based on a connection structure between the liquid level logging well and the evaporation dish; regularly collecting water levels in the liquid level logging well; regularly monitoring the presence of rainfall and the corresponding rainfall amount using a rain gauge; correcting a current evaporation calculation cycle using the water level equilibrium lag time to obtain a corrected evaporation calculation cycle, and fitting a water level variation curve over time for the corrected evaporation calculation cycle; determining rainfall type based on a rainfall signal or water level variation curve fed back by the rain gauge; estimating rainfall for different rainfall types based on water level data in the liquid level logging well and rain gauge measurement data; compensating the water level difference in the evaporation calculation cycle using the estimated rainfall amount to calculate evaporation. The present invention can effectively improve the measurement accuracy of water surface evaporation.

The invention discloses a desilting and draining device of a cable trench, a control method and a control device of the desilting and draining device. The desilting and draining device of the cable trench comprises a cyclone separator, a sewage pump, a water level gauge, a turbidity sensor, a rain gauge and the control device. The cyclone separator is arranged in the cable trench, the cyclone separator is provided with a water outlet and a drain outlet, and the cyclone separator is used for separating accumulated water entering from the water inlet and discharging the separated accumulated water through the water outlet and the drain outlet. The sewage pump is communicated with the sewage outlet, the water level gauge is arranged in the cable trench and used for detecting the water level value in the cable trench, the turbidity sensor is arranged in the cable trench and used for detecting the turbidity value of accumulated water, and the rain gauge is arranged in the cable trench and used for detecting the rainfall value in the cable trench. The control device is used for controlling the sewage pump to operate based on at least one of the water level value, the turbidity value and the rainfall value. Solid-liquid graded discharge and automatic desilting of accumulated water are achieved, and the intelligent degree of desilting and drainage is improved.

The invention discloses a loess plateau slope water and soil conservation device and method, and belongs to the technical field of water and soil conservation and intelligent control crossing. The pile foundation type executing mechanism comprises a spiral ground pile fixed in a side slope soil body, a rotary base installed on the spiral ground pile to achieve horizontal rotation, a pitching swing arm hinged to the rotary base to achieve pitching motion and a spraying guide pipe fixed to the pitching swing arm. The integrated sensing probe comprises a probe rod body, a plurality of layers of moisture content sensors which are arranged in a layered manner along the length direction of the probe rod body, and a miniature rain gauge which is mounted at the top end of the probe rod body; and the central controller is in communication connection with the integrated sensing probe and the pile foundation type execution mechanism and is used for receiving sensing data and sending a control instruction, and the simulation precision of the model on a real physical process is improved.

The utility model is suitable for the technical field of water and sediment monitoring, and provides a rainfall water and sediment collecting and monitoring device which comprises a base and a test tank hinged to the base. The sandstone layer, the geotechnical cloth and the soil layer are all arranged in the test tank, and the sandstone layer, the geotechnical cloth and the soil layer are sequentially stacked from bottom to top; the collecting mechanism is arranged on the testing groove and used for monitoring and collecting the rain and sand loss condition, the collecting mechanism is composed of a flow meter, a rain gauge and a plurality of measuring cylinders, the flow meter and the rain gauge are both arranged at the top of the soil layer, and the measuring cylinders are all arranged on one side of the base. The rainfall water and sediment collecting and monitoring device provided by the scheme has the beneficial effects of adjustable gradient, real soil layer simulation, real-time monitoring, wide application and the like, and provides powerful technical support for research and application of the rainfall process.

The invention relates to the field of tailings ponds, and discloses a tailings pond rainfall early warning grade judgment method, device and equipment and a medium. The method comprises the following steps: acquiring early warning indexes of a plurality of early warning levels and a first early warning threshold value issued by a local meteorological department of a region where the tailings pond is located; acquiring a plurality of real-time rainfall monitoring data of the tailings pond, and determining a first early warning level of the tailings pond; calculating the multi-duration rainfall corresponding to the designed flood control standard of the tailings pond; calculating a second early warning threshold value of a plurality of early warning levels of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; according to each real-time rainfall monitoring data and each second early warning threshold, determining a second early warning level of the tailings pond; and determining a global rainfall early warning level of the tailings pond according to the first early warning level and the second early warning level. According to the application, a more perfect scientific theoretical basis is provided for selection of early warning indexes and setting of an early warning threshold value of the tailing pond rainfall online monitoring system, and safe production operation management of the tailing pond is better guided.