5988results about "Lubrication indication devices" patented technology

The invention relates to the technical field of hydrological monitoring, in particular to a multi-satellite collaborative hydrological monitoring system. The method comprises the following steps that a water level height measurement module obtains radar pulse recovery time delay data through a height measurement satellite and calculates the water level height, abnormal points are removed to generate river water level data, a water remote sensing module collects river water images through a remote sensing satellite to extract water boundary features, water area change data are deduced, and the water level height measurement module calculates the water level height. The meteorological wind shear analysis module obtains river channel meteorological data through a meteorological satellite, microwave scattering measurement and wind speed inversion are carried out, wind-induced shear stress parameters are generated, and the flow estimation module carries out section dynamic analysis and estimates the water flow in combination with river channel water level and water area data. And the flow correction module corrects the river water flow based on the wind-induced shear stress parameter and carries out real-time monitoring, and data are synchronously uploaded to the control terminal, so that comprehensive dynamic monitoring of the hydrological state of the river is realized. According to the invention, a more efficient multi-satellite collaborative hydrological monitoring system is realized.

The invention belongs to the technical field of liquid level measurement and industrial process control, and particularly relates to a radar liquid level meter system fusing an adaptive algorithm and multi-modal data. Comprising a data acquisition unit, a signal acquisition and preprocessing unit, a signal denoising and optimizing unit, a data fusion and anomaly detection unit, a self-adaptive calibration and drift compensation unit and a display and alarm terminal. The system has the advantages that the radar liquid level meter, the auxiliary sensor, signal processing, data fusion, anomaly detection, self-adaptive calibration, drift compensation and other technical means are organically combined, and the system can achieve high-precision and real-time monitoring of the liquid level under the complex working condition.

The invention relates to the technical field of liquid level detection, in particular to a scrubber sewage tank water level detection system and method based on a liquid level sensor, and the system comprises a sensing data acquisition module, a liquid level signal conversion module, a multi-source numerical value comparison module, a liquid level fluctuation recognition module and an alarm action linkage module. According to the invention, through acquisition of a sensor capacitance change sequence, elimination of abnormal fluctuation, construction of a stable reference curve, enhancement of data immunity, mapping of a liquid level section based on an average capacitance value, accurate identification of liquid level elevation is realized, synchronous comparison of liquid level state information in various communication protocols is realized, and data consistency and reliability are improved. A liquid level fluctuation boundary is accumulatively recognized through trend direction change, a change section is dynamically marked, alarm triggering is based on boundary area and state mark double verification, warning response accuracy and effectiveness are enhanced, and a high-precision and high-stability liquid level detection and early warning system is constructed.

The invention discloses an unmanned aerial vehicle inspection method and system applied to foundation pit accumulated water monitoring, and the method comprises the steps: determining an optimal route node sequence, and generating an unmanned aerial vehicle control instruction set; acquiring internal and external parameters of a multi-source sensor, and performing time alignment compensation on image frames and sensor data; acquiring a ponding area image coordinate set and attribute data; a three-dimensional projection point set of the ponding area is obtained, and the real coverage area of the ponding area is calculated; generating a three-dimensional overview map of the foundation pit by using the multi-view image of the foundation pit area; determining a three-dimensional coordinate point set and an area estimation result of the ponding area; and projecting the three-dimensional coordinate point set of the ponding area to the three-dimensional overview map of the foundation pit to generate a hidden danger monitoring report. By integrating the unmanned aerial vehicle, the sensor data and the advanced image processing technology, the accuracy, stability and visualization effect of foundation pit accumulated water monitoring are greatly improved, more reliable and comprehensive technical support is provided for safety management of foundation pit engineering, and the safety risk in the construction process is remarkably reduced.

The invention provides an urban road ponding monitoring and drainage system. The urban road ponding monitoring and drainage system comprises a monitoring module which collects ponding depth, water velocity, rainfall intensity and field image data in real time; the initialization configuration module sets parameters such as an accumulated water depth threshold value; the data transmission module encrypts and transmits data to the central control module; the model algorithm optimization module constructs a three-dimensional ponding diffusion model and outputs a predicted ponding depth and an optimized drainage strategy; the central control module generates a drainage pump rotating speed instruction and the like; the drainage execution module dynamically adjusts drainage pump power and a drainage path; the self-checking and fault-tolerant module calculates a health index of drainage equipment and switches redundant equipment; the early warning module sends risk level information; and the interaction module displays information such as a real-time accumulated water thermodynamic diagram. The urban road drainage efficiency can be improved, the water accumulation risk is reduced, and smooth urban traffic and public travel safety are guaranteed.

The invention provides a coastal water level monitoring method based on a dynamic threshold algorithm, a medium and a system, and belongs to the technical field of coastal water level monitoring. The coastal water level monitoring method based on the dynamic threshold algorithm comprises the steps that data are collected through a water level sensor array, and a water level basic matrix and a floating matrix are constructed; a dynamic warning value is calculated by applying a tidal kinetic equation and a hydrometeorological coupling equation set, efficient resource scheduling is realized by utilizing a calculation jump matrix, self-learning optimization and water level prediction are performed based on a hydrological space-time network model, and water level monitoring and prediction data are output. Early warning of different levels is triggered according to the fact that the water level reaches the minimum range or the maximum range of the dynamic warning value, warning information is pushed to the disaster management platform through the edge computing gateway, a comprehensive warning report is finally generated for emergency decision making, and intelligent monitoring and accurate early warning of the coastal water level are achieved.

The invention relates to the technical field of chemical production process monitoring, and provides a chemical storage tank liquid level real-time monitoring method and system based on image recognition, which can automatically generate an accurate illumination threshold value by applying big data analysis and machine learning technologies, can adapt to illumination changes of different chemical scenes, and can realize real-time monitoring of the liquid level of a chemical storage tank. The accuracy of liquid level monitoring under various illumination conditions is greatly improved; for image enhancement and correction, the system adopts a local region adaptive adjustment histogram equalization and optimization CLAHE technology and constructs a feature database assisted threshold segmentation and environmental parameter dynamic adjustment SFS model, so that dark environment images can be enhanced more excellently, strong light reflection can be removed, and reduction liquid level details can be cleared; according to the system, a dynamic weight updating mechanism is created for the first time, the weight is adjusted in real time according to the liquid level change and the image quality, interference of a single image is effectively avoided, and the monitoring reliability is remarkably improved.

The invention discloses a marine surveying and mapping method based on multi-beam sounding correction, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps: acquiring sounding echo signals, sound wave propagation time delay data and temperature data through a multi-beam sonar array, an acoustic chromatography transceiving array and a laser Raman probe; and fusing the data to construct a dynamic refractive index field model, correcting sound ray refraction distortion by adopting an adaptive variable step size algorithm, carrying out weight allocation and data fusion on space-time adjacent beams to obtain high-confidence water depth, and generating an isobath topographic map. The problem of refraction distortion is solved through multi-source data fusion, the sound ray tracking step length is dynamically optimized, noise interference is suppressed through weighted fusion, and the precision and reliability of topographic surveying and mapping in complex environments such as a deep sea hydrothermal region are remarkably improved.

The invention discloses a hydropower station expansion tank water level prediction alarm method and system, belongs to the technical field of hydropower station automatic control, and aims to solve the technical problems of limited monitoring points, high false alarm rate, response delay and the like of a traditional hydropower station expansion tank water level alarm system. According to the invention, the multi-mode sensing network is constructed, and data of the pressure sensor array, the radar level meter and the float switch group are fused, so that space continuous monitoring is realized; a three-level sensing architecture is adopted, heterogeneous data is subjected to normalization processing, and dimensional differences are eliminated; the LSTM network is used for liquid level prediction, and a self-adaptive window adjustment mechanism is combined, so that the prediction flexibility and accuracy are improved; a DQN algorithm is adopted to optimize a control strategy, fine adjustment of the liquid level is achieved by adjusting the opening degree of the valve, the accuracy, timeliness and intelligent level of water level monitoring and alarming of the expansion water tank of the hydropower station are remarkably improved, the stability of the liquid level of the water tank is ensured, the system operation efficiency is optimized, the manual intervention requirement is reduced, and safety is improved.

The invention provides a water level and water quality monitoring method based on an AI technology energizing intelligent central pivot rod, which takes an AI intelligent central pivot sensing rod as a core and integrates various components such as a radar static pressure composite monitoring water level terminal, a water quality five-parameter monitoring terminal, a camera acquisition terminal and a cloud analysis full-amount meteorological sensing station. Through specific structure assembly and field installation, the device is deployed in different water areas such as inland rivers, lakes and rivers. The system collects data according to a set time interval and records environment and scene characteristic parameters. After collected data are preprocessed, adaptive lightweight model combinations are selected according to different scenes and data characteristics, a training set and a test set are divided for model training and fusion, and then the data are deployed to a monitoring terminal and verified by the test set. The system realizes intelligent data processing by means of the AI technology, has flexibility and reliability, can efficiently and accurately collect and stably transmit data, provides accurate technical support for water level and water quality monitoring, and has great significance for flood control and water body ecological protection.

The invention provides an intelligent analysis method for the oil temperature and the oil level of a transformer. The method comprises the following steps: S1, acquiring oil temperature and oil level data of a transformer, generating displacement diagrams of two data in a coordinate system, drawing an actual oil temperature and oil level curve, and comparing the actual oil temperature and oil level curve with a standard oil temperature and oil level curve given by a manufacturer; s2, generating a relation function between the oil level and the oil temperature by using the transformer oil temperature and oil level monitoring, checking and analyzing device, and performing data comparison with a standard oil temperature and oil level curve given by a manufacturer; s3, analyzing whether the deviation between the oil temperature and oil level curve and a standard oil temperature and oil level curve given by a manufacturer exceeds an allowable value or not under the high-temperature and low-temperature operation conditions; according to the invention, quantitative data analysis can be carried out on the oil temperature and the oil quantity of the oil-immersed transformer.

The invention relates to the technical field of industrial process measurement, and discloses a high-precision liquid level measurement anti-interference calibration method, which comprises the following steps of: 1, synchronously acquiring a liquid level signal, a mechanical vibration signal, an electromagnetic field intensity signal and a temperature distribution signal through a multi-mode sensor array to form multi-physical field data; 2, constructing a hypergraph adjacency tensor based on the coupling relationship of the multi-physics field data, and generating a Laplacian matrix constraint; step 3, performing CP tensor decomposition with hypergraph constraint on an original signal tensor formed by the multi-physical field data, and separating a liquid level signal kernel from an interference kernel; and step 4, inputting the decomposed signal kernel characteristics and the sensor impedance parameters into a depth deterministic strategy gradient algorithm to realize hardware acceleration of a processing flow. A multi-physics field coupling relation is constructed through a hypergraph adjacency tensor and a Laplacian matrix, and the limitation of a traditional binary correlation model is broken through.

The invention belongs to the technical field of water conservancy monitoring, and discloses a water conservancy water level monitoring device and method, and the method comprises the steps: a monitoring point arrangement module of a monitoring mechanism reasonably arranges the number and positions of monitoring points; the flow velocity monitoring module monitors the water velocity; the meteorological data acquisition module acquires meteorological data; the echo sounder emits sound waves, and the water depth is calculated according to the sound wave propagation time and the sound velocity in water; the pressure water level gauge, the laser water level gauge and the radar water level gauge monitor the water level of water conservancy. The echo data analysis module analyzes the echo data; the comprehensive analysis module comprehensively analyzes the water level; the predictive analysis module predicts a water level trend and potential risks. The water level of water conservancy is monitored through various water level gauges, cross validation and high precision are achieved, and the sediment deposition thickness is accurately calculated by analyzing echo data; the comprehensive analysis module comprehensively evaluates the water level; the prediction analysis module integrates various monitoring equipment data and meteorological data, and predicts the water level trend and potential risks.

The invention relates to the technical field of water flow monitoring, and particularly discloses a flow monitoring method and system based on video image analysis and processing. The method comprises the following steps: carrying out communication acquisition of image monitoring and water level monitoring at a plurality of monitoring acquisition sites; performing video frame extraction and image preprocessing; feature point detection and displacement analysis; converting the water surface flow velocity into a plurality of station water surface flow velocities, and performing fitting correction; and calculating station flow data of the plurality of monitoring acquisition stations. Water surface image data are obtained through image monitoring and water level monitoring communication collection of a plurality of monitoring collection sites in combination with video frame extraction and image preprocessing, the site pixel flow velocity is calculated through feature point detection and displacement analysis, the site pixel flow velocity is converted into corrected water surface flow velocity through a space projection model, and site flow data are calculated. Non-contact full-flow monitoring is achieved, the potential safety hazard that equipment needs to be arranged in water in a traditional method is eliminated, the maintenance difficulty is remarkably reduced, and the method is particularly suitable for flow monitoring in flood periods and dangerous water areas.

The invention belongs to the technical field of liquid level monitoring, and relates to a liquid level monitoring method and system based on a radar liquid level meter. The current temperature of the stored substance in the target storage tank is matched with the dielectric constant, whether the dielectric constant is abnormal or not is judged accordingly, the influence of the temperature on the dielectric constant of the stored substance is considered, and errors caused by temperature changes when the radar liquid level meter monitors the liquid level are avoided; whether abnormal influence is generated on the monitoring process of the radar liquid level meter or not is evaluated from multiple dimensions through the key obstacles in the target storage tank, the limitation of single parameter analysis is broken through, measurement errors caused by obstacle abnormity can be reduced, and the stability of liquid level monitoring is ensured; whether foam interference or steam interference occurs or not when the radar liquid level meter monitors the liquid level is recognized through multiple verification modes, the accuracy of interference reason recognition is improved, the pertinence of maintenance measures is guaranteed, and the situation that the measurement precision of the radar liquid level meter is reduced due to abnormal medium characteristics is avoided.

The invention discloses a magnetostriction liquid level meter temperature compensation method and system based on a support vector machine. The method comprises the steps that the currently captured original pulse number is obtained through a magnetostriction liquid level meter; the current environment temperature is detected in real time through a high-precision temperature sensor in the magnetostrictive liquid level meter; taking the original pulse number and the current environment temperature as input features, sending the input features to a pre-trained support vector machine regression model (SVM), and outputting a displacement error prediction value in the current temperature environment; and correcting the original measurement result according to the error prediction value to obtain a real pulse measurement value after temperature compensation. The system comprises a time-to-digital conversion chip, a temperature chip temperature measurement module, a support vector machine reasoning module, a pulse compensation module and a distance calculation module. According to the method, nonlinear modeling can be carried out on measurement errors caused by environment temperature changes, so that the liquid level measurement result is dynamically corrected, and the overall robustness and precision of a measurement system are improved.

The invention belongs to the technical field of steel pipe flaw detection, and particularly relates to nondestructive ultrasonic flaw detection equipment for seamless steel pipes. The present invention comprises: a water tank; the rotating mechanism is used for driving the seamless steel pipe to rotate; the flaw detection mechanism is used for flaw detection of seamless steel tube surfaces; the transverse transfer mechanism is connected with a movable flaw detection trolley; the flaw detection mechanism comprises a lifting frame, a first lifting cylinder for driving the lifting frame to lift, a plurality of probe assemblies mounted on the lifting frame and a second lifting cylinder for driving the probe assemblies to lift; the probe assembly comprises a lifting seat, a probe seat mounted at the lower end of the lifting seat and an ultrasonic probe mounted on the probe seat; a groove is formed in the lower surface of the probe seat, and a coupling assembly is mounted in the groove; the water storage area is formed between the water storage frame and the seamless steel pipe, a stable water film layer can be formed when water flow in the water storage area flows through the surface of the seamless steel pipe, the probability of missed detection is reduced, and the detection result is more accurate.

The invention relates to the technical field of water level monitoring, in particular to a distance detection method and system of a water level sensor, a medium and equipment. The scheme comprises the following steps: arranging a non-contact distance capacitance change detection structure; calculating the equivalent volume value of the cross-air water level; setting a reference capacitance value according to the change condition of the equivalent capacitance value; setting the change relation between the height change of water and the equivalent capacitance through linear fitting according to the reference capacitance value; according to the change relation between the water height change and the equivalent capacitance, the equivalent capacitance is collected in real time, and the water level height is obtained through calculation; and according to the water level height, displaying the currently acquired water level acquisition value in real time. According to the scheme, a water level non-contact measurement method and a calculation method are designed, and online water level detection and display are achieved.

A radar based, fill level measuring device for determining fill levels in containers, wherein the fill level measuring device can be applied for a large number of different applications, includes a signal production unit designed to produce a first transmitted radar signals within a first frequency band and supplementally a second transmitted radar signal within a second frequency band that does not overlap with the first frequency band and is clearly separated therefrom. The evaluation unit of the fill level measuring device can determine a first fill level value based on the first received signal. Based on the second received signal potentially another fill level value can be determined. In this way, the fill level measuring device can be adapted as regards frequency band to the particular application. The ascertained fill level can be checked for plausibility by comparing the fill level values ascertained in different frequency bands.

An apparatus for monitoring an apparatus for the inductive heating of a metal material including a detection device and an evaluation device. In order to automate the loading of the inductive heating apparatus with bulk material or metal material, according to the invention the detection device is an optical sensor for detecting distance and the evaluation device is designed to determine, on the basis of the distance detected by the detection device, the fill level of the inductive heating apparatus and to output a corresponding signal, the signal being suitable for further use in a control process for the feeding of metal material to the inductive heating apparatus. The invention also relates to a method for automatically loading an apparatus for the inductive heating of a metal material and to a control system for an apparatus for the inductive heating of a metal material.

The invention discloses a multi-channel high-precision water level dynamic real-time monitoring system for a drilling water pumping test, and the system comprises a sensing layer which is used for deploying a multi-source sensor array, inhibiting interference through distributed layout and electromagnetic shielding, collecting multi-dimensional data in real time, and carrying out the preliminary filtering; according to the transmission layer, an optical fiber and twisted pair redundant network is constructed, an EtherCAT protocol is adopted for low-delay transmission, AES-128 encryption tampering prevention is integrated, and edge nodes compress data and verify integrity; the processing layer is used for carrying out real-time preprocessing on edge calculation and switching a standby sensor in abnormal detection; the cloud end predicts the water level trend through Spark Streaming analysis and an LSTM model, distinguishes interference through a random forest algorithm, and outputs calibration data and an analysis report; the application layer is used for constructing a three-dimensional drilling model based on Unity, dynamically displaying water level changes, synchronizing a multi-parameter curve and supporting historical backtracking; the early warning module notifies abnormity through sound and light and short messages, the decision module generates a report and supports multi-drill-hole comparison, and the test strategy is optimized.

The invention relates to the technical field of water level data processing, in particular to a water level data acquisition and processing system based on the Internet of Things, which comprises a trend identification module, a sampling frequency modulation module, a data encapsulation module, an exception elimination module and an instruction linkage module. According to the method, trend recognition is achieved by analyzing the continuous water level change trend, the sampling frequency is dynamically adjusted, so that the sampling interval is matched with the actual water level fluctuation state, the response sensitivity of water level data and the timeliness of data acquisition are improved, and a uniform packaging format is constructed by adopting a timestamp index mechanism and a bidirectional mapping structure; the integrity of a water level data structure and the convenience of index management are enhanced, sudden change breakpoints are recognized through the water level amplitude difference, data are stored in a segmented mode, the data stability and the emergency situation recognition capacity are improved, and the self-adaptive capacity of water level information processing, the maintaining level of data continuity and the coping efficiency of sudden abnormity are overall improved.

The invention discloses an oil storage tank oil-water interface measurement system and method and a storage medium, and relates to the technical field of oil-water interface measurement, and the system comprises a data acquisition module, a data processing module, a decision support module and a data security module. According to the oil-water interface measuring system and method for the oil storage tank and the storage medium, a three-dimensional sensing network (distributed sensor network) is constructed by adopting a pressure sensor array and phased array ultrasonic scanning technology and combining dielectric property detection of a microwave dielectric constant sensor; the pressure, the dielectric constant, the liquid level and the vibration data in the tank body are obtained, basic data are provided for subsequent processing, the comprehensiveness of data obtaining can be improved through the sensing network, the pressure data are dynamically calibrated through Takagi-Sugeno fuzzy logic, the influence of temperature drift is effectively eliminated, and the accuracy of data obtaining is improved. The ultrasonic signals are subjected to feature enhancement through the generative adversarial network, and the emulsion layer boundary is accurately recognized.

The invention discloses a hydropower station water level detection method and system. The method comprises the steps that an original water flow characteristic parameter set is obtained through multiple sets of Doppler effect radar flow measuring devices; performing segmentation extraction to obtain a water flow feature sub-data set; inputting a Transform network coding layer to generate a water flow feature coding vector; outputting a preliminary water level predicted value sequence through a decoding layer; a radar flow measurement model is called for correction to obtain a correction sequence; time sequence integration is carried out to obtain a water level change curve. The system comprises a multi-source Doppler radar signal acquisition unit, a spatial-temporal feature segmentation extraction unit, a Transform coding processing unit, a water level preliminary prediction unit, a radar model correction unit and a time sequence integration output unit. According to the method and system, multi-source parameters are deeply fused, the environmental adaptability is improved, the continuity and reliability of a detection result are enhanced, the water level of the hydropower station can be accurately monitored, and support is provided for scheduling decision and safety prevention and control.

The invention relates to the technical field of water level monitoring and early warning, in particular to an intelligent reservoir spillway water level monitoring and spillway early warning system, which comprises an anti-interference water level sensing module, an anti-siltation sensing array is arranged on a key section of a spillway, and the key section comprises a curve section and a gate section; the dynamic hydraulic twinning module is used for processing through a lightweight fluid network algorithm on the basis of the water surface transverse slope, the absolute water level and the gate vibration displacement in combination with a hydraulic BIM model; the edge cloud cooperative flow calculation module comprises an edge node and a cloud server; the risk self-adaptive early warning module is used for executing early warning when the calibrated real-time spilling volume breaks through a spilling threshold value; according to the method, the flow calculation error under the high turbulence working condition is remarkably reduced, the accuracy of flood discharge amount calculation is effectively improved, and it is ensured that flood discharge control is more accurate especially under the scene that the curve flow state is complex and the gate opening degree changes remarkably.

The invention discloses a river section water level flow relation determination method, and belongs to the technical field of hydraulic engineering, and the method comprises the steps: S1, obtaining the parameter information of a river section; s2, generating a river cross-section diagram of a river cross-section based on the parameter information in the step S1; s3, determining characteristic parameters of the river section according to the river section diagram; s4, determining Manning roughness coefficients of different river sections; s5, determining a water level flow relation based on the characteristic parameters and a Manning roughness coefficient; according to the method for determining the river section water level and flow relationship, the relationship with the section flow is established on the basis of the water level combination of the three observation stations, so that a rope sleeve curve is avoided, and meanwhile, the obtained relationship is higher in uniqueness and more accurate in use.

Provide are an IoT system, a method, and a storage medium for smart gas pipeline pressure difference safety monitoring. A gas company management platform of the IoT system is configured to: obtain a pressure difference data matrix of a current gas pipeline network from a gas equipment object platform; determine an abnormality judgment result for the current gas pipeline network based on the pressure difference data matrix; in response to determining that the abnormality judgment result indicates an abnormality, determine an abnormality probability distribution of the current gas pipeline network based on the pressure difference data matrix; generate an operation instruction set based on the abnormality probability distribution; generate a pressure adjustment instruction based on the pressure difference data matrix, and send the pressure adjustment instruction to the gas equipment object platform to control a pressure adjustment device to regulate an abnormal gas pipeline in the current gas pipeline network.

A system for measuring changes in a fluid stored within a container is disclosed. The system may include a radio-frequency sensing element disposed externally on the container and configured to generate a signal indicative of at least one dielectric property of the fluid, wherein the fluid undergoes composition-based or environment-driven changes due to interactions with the container. In some aspects, a processing component generates an output representative of at least one time-varying fluid characteristic. In some aspects, the container is a wooden barrel with an interior surface adapted to impart flavor or chemical changes to the fluid. In some aspects, the fluid is a beverage including at least one of wine, beer, and distilled spirits, with the time-varying characteristic including a fermentation parameter that changes over time. In some aspects, the at least one time-varying fluid characteristic of the fluid includes at least one of fluid level or fluid volume.

The invention provides an arrangement method of a steel fishway structure capable of automatically pulling and stretching along with water level changes. The arrangement method comprises the steps that the water level difference of an inlet and an outlet of a fishway is monitored in real time; the buoyancy driving assembly is triggered according to the water level difference to drive the steel fishway subsections to move along the rails; calculating the telescopic length based on the water level difference and the fishway base length to ensure that the gradient is within the design range; the track motor is controlled to adjust the cable-stayed angles and gaps of the fishway sections; the gradient error is corrected in real time through the tilt angle sensor; the distribution density and the opening-closing angle of the guide plates are dynamically adjusted according to the flow speed and the water depth, and vortex is inhibited; the water temperature change is monitored, the thermal deformation compensation amount is calculated, and deformation is absorbed through the elastic sealing assembly. The fish passing rate can be increased, the adaptability and stability of the structure are enhanced, and the device is suitable for complex hydrological environments.

The invention relates to the technical field of water level measurement, in particular to a water level precision measurement method, system and equipment applied to a water conservancy project, and the method comprises the steps: obtaining an electromagnetic wave signal emitted to the water surface by a radar water level gauge in real time, recording the electromagnetic wave signal as an emission signal, and obtaining an echo signal received at each measurement moment; water level data, measured by the radar water level gauge through the received echo signals, at each measurement moment are obtained; calculating a signal fluctuation degree and an energy loss ratio of each measurement moment, determining a first evaluation value, a second evaluation value and a water level fluctuation degree of each measurement moment, and obtaining an interference coefficient of each measurement moment; and correcting the water level data based on the water level data and the disturbed coefficients of each measurement moment and a plurality of measurement moments before the measurement moment to obtain the corrected water level data of each measurement moment. The interference influence of the multipath effect, noise and water surface fluctuation on the echo signal can be reduced, and the precision of the radar water level gauge on the water level measurement result is improved.