4604results about "Level indicators" 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 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 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 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 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.

An automated urinary output (“UO”)-measuring system includes a fluid container including a console coupled to one or more ultrasonic sensors and one or more accelerometers. The console includes a processor configured to receive accelerometer values from the one or more accelerometers, to determine an acceleration state of the fluid container, to activate the one or more ultrasonic sensors when the acceleration state of the fluid container is below a threshold, and to measure a volume of fluid in the fluid container when the acceleration state of the fluid container is zero. The system can further include a removable valve coupled to the fluid container and an attachment device including a pocket configured to accommodate the fluid container.

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.

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.

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.

The invention discloses a radar wave measurement method and system for the liquid level of a storage tank, and relates to the technical field of liquid level measurement. The radar wave measurement method for the liquid level of the storage tank comprises the following steps: acquiring radar echo signal data of the storage tank in a set measurement period, and preprocessing the radar echo signal data; based on a pre-trained liquid level identification deep learning model, performing prediction analysis on the radar echo signal data to obtain a liquid level feature set of the storage tank; and acquiring liquid level control parameters of the storage tank, analyzing liquid level control driving indexes of the storage tank in combination with the corresponding liquid level feature set, and controlling the start-stop state of a water pump of the storage tank based on the liquid level control driving indexes. Multi-dimensional modeling is carried out on radar echo signal data in a continuous time period, the limitation that a traditional liquid level measurement method depends on echo signals at a single moment to carry out height judgment is broken through, and the method is particularly suitable for industrial liquid level monitoring requirements with high disturbance and high precision requirements.

The invention discloses a liquid leakage monitoring method and system for a liquid cooling charging pile. The method comprises the following steps that liquid level information of cooling liquid in a liquid cooling pot is detected through a six-section type liquid level sensor; temperature information at the joint of the two charging guns is detected through the two temperature sensors; temperature information of the radiator inlet and outlet is detected through a temperature sensor; detecting pressure information of a water inlet of the water pump through a pressure sensor; opening or closing of the pipeline water inlet is controlled through the flow switch; and the monitoring system monitors the liquid leakage condition of the charging pile through the collected liquid level information, temperature information and pressure information in combination with a liquid leakage detection algorithm, and carries out corresponding liquid level alarm according to the liquid leakage condition. The problems that monitoring is not timely and not intelligent in the prior art are solved, the problem of cooling liquid leakage is found and processed in time through intelligent algorithm control, a high-precision sensor and real-time monitoring, and safe operation of the liquid cooling charging pile is ensured.

The invention relates to the technical field of transformer oil level monitoring, in particular to a transformer oil level on-line monitoring method, system and device, and the method comprises the steps: collecting the oil level and oil temperature in a transformer expansion tank at each moment, and the inclination angle of oil level collection equipment in each axial direction of a three-dimensional coordinate system at each moment; obtaining each abnormal oil level in the oil level data of the current moment and all moments before the current moment; determining a trend characteristic value of each abnormal oil level; acquiring an inclination characteristic value of each axial direction at a moment corresponding to each abnormal oil level; obtaining the non-noise confidence coefficient of each abnormal oil level, obtaining noise data in all abnormal oil levels, and denoising the noise data by using a digital filtering algorithm; and on the basis of the inclination angles of all the axial directions at all the moments, compensating and correcting the oil levels at all the moments after denoising processing. Therefore, the authenticity and accuracy of final oil level data monitoring are improved.

A sensor device for measuring the level of material in a container, including: a shell, and at least one contactless level sensor housed inside the shell, the shell including a measurement window enabling the passage of a detection signal emitted by the sensor and the passage of a reflected detection signal, after reflection against the free surface of the material inside the container. The sensor device further includes a fastener secured to the shell, enabling the removable fastening of the sensor device outside the container, on a connector secured to the container, with the measurement window of the shell positioned opposite a corresponding opening formed in the container.

The invention provides a coastal water level prediction method based on multi-modal observation data, and belongs to the technical field of coastal water level prediction.The coastal water level prediction method comprises the steps that multi-modal ocean observation data of different sensors are collected, and a multi-scale space-time registration matrix is established to achieve space-time alignment of heterogeneous data; an ocean dynamic process feature extractor is constructed to recognize astronomical storm surge and wave features and calculate nonlinear coupling parameters, an adaptive space-time fusion algorithm is adopted to dynamically adjust weights according to data quality to generate a space-time consistency data set, and an ocean dynamic coupling strength discrimination model is established to determine a modeling strategy. And finally generating a coastal water level prediction product containing a predicted value confidence interval and risk early warning. The technical problem of insufficient coastal water level prediction precision caused by difficult effective fusion of multi-modal ocean observation data under the condition of spatial-temporal scale mismatching is solved.

The utility model relates to the technical field of hydraulic engineering monitoring, in particular to a water level monitoring device for water resource management, which comprises a stand column, a signal box and a solar cell panel are fixedly connected to the surface and the top end of the stand column, and an adjusting mechanism comprises a first supporting rod hinged to the surface of the stand column. An electric push rod is fixedly connected to the inner wall of the bottom end of the stand column, a sliding groove is formed in the surface of the stand column, and a connecting block is slidably connected into the sliding groove; when the ultrasonic sensor needs to be maintained, the first supporting rod can be directly pulled to rotate through the electric push rod, so that the ultrasonic sensor moves towards the shore while descending, and a worker can conveniently maintain the ultrasonic sensor; the height and the distance between the ultrasonic sensor and the water area to be monitored can be randomly adjusted according to the environment, so that the monitoring data is more practical and more stable.

The invention relates to the technical field of millimeter-wave radars, and discloses a millimeter-wave radar material level monitoring method, device and equipment and a storage medium. The method comprises the steps that a plurality of millimeter-wave radar sensors are installed at the top of a coal feeder bin, a reflection point cloud data set is collected, Euclidean clustering is carried out, and an effective point cloud clustering set is obtained; performing multi-stage information screening to obtain an effective material level cluster set of each millimeter wave radar sensor; carrying out signal detection alternating-to-parallel ratio and reliability analysis to generate fused material level data; inputting the fused material level data into a multi-model interaction and unscented Kalman filter model for material level dynamic tracking to obtain a time sequence material level curve and a prediction confidence interval; and iterative second-order cone programming calculation is executed based on the time sequence material level curve and the prediction confidence interval, and a coal feeder control parameter sequence is obtained. According to the method, the problem of radar point cloud disorder caused by a complex environment in the coal feeder is effectively solved, and efficient control parameter optimization under different load conditions is realized.

The invention relates to the technical field of water conservancy and hydropower engineering, in particular to a leakage early warning system for water plant activated carbon pool construction. The pouring early warning module is used for determining the leakage risk grade of the concrete for construction of the activated carbon pool of the water plant according to the anti-permeability characterization value and judging a corresponding strategy according to the leakage risk grade; comprising a water level detection unit for monitoring the real-time water level of the activated carbon pool in a preset monitoring period and an infrared detection unit for obtaining an infrared image of the outer wall of the activated carbon pool; the method is used for secondarily judging whether the construction of the activated carbon pool meets the preset standard or not according to the water level change rate under the condition that the construction of the activated carbon pool does not meet the preset standard according to the wetting characterization value of the outer wall of the activated carbon pool. The construction efficiency of the water plant activated carbon pool is improved.

The invention relates to the field of capacitive liquid level meters, in particular to a low-temperature Dewar liquid nitrogen refrigerant liquid level detection device and a measurement method, and solves the problem of low measurement precision in the prior art. The detection device comprises a superconducting polar plate floater arranged on the liquid level of a liquid nitrogen refrigerant in an inner cavity of the low-temperature Dewar; capacitance value information is converted into liquid level information through a microcontroller by means of a hybrid capacitor formed by the superconducting polar plate floater and the low-temperature Dewar. The low-temperature Dewar and the liquid nitrogen refrigerant in the low-temperature Dewar are regarded as a combined capacitor, and the real-time change of the liquid level height of the liquid nitrogen refrigerant in the low-temperature Dewar is deduced through the change of the value of the combined capacitor; the liquid level measuring device can operate in a low-temperature liquid nitrogen refrigerant environment through the superconducting polar plate floater, has the characteristics of low loss, high quality factor and excellent electromagnetic property, and can improve the measurement precision and accuracy of the liquid level height of the liquid nitrogen refrigerant.

The invention relates to a calibration device (5) for calibrating radar-based level measuring devices (1) or their high-frequency module. For this purpose, the device (5) is based on a base body (51). A waveguide (52) runs within a planar plane (A) in this base body. The waveguide (52) is characterized by an input region (521), a coupling region for radar signals (S). HF , R HF ) reflective end region (522), and calibration section running between it (d kal ) out. According to the invention, the waveguide (52) or the calibration section (d) is kal ) are formed in a spirally nested configuration. This results in a spirally nested structure in relation to the length of the calibration section (d). kal ) or of the waveguide (52) achieves a very compact design, so that the calibration device (5) can also be used for recalibrations at the place of use of the level measuring device (1).

A device for ascertaining a property of a fluid, having: an electric conductor assembly which is designed to be at least partly brought into contact with the fluid and which is designed as a voltage divider with two elements, wherein the first element is a first conductor which, at least in a current-conducting state, has a resistance value that differs from that of the second element; a measuring bridge with two voltage dividers connected in parallel, one of said voltage dividers being formed by the electric conductor assembly; an actuation unit for applying an AC voltage to the measuring bridge; a voltage detection unit for detecting a bridge voltage; and an analysis unit which is configured to ascertain a thermal conductivity as the property of the fluid by analyzing the bridge voltage using the 3-omega method.

The invention discloses a current transformer oil level monitoring system based on ultrasonic echo detection, which relates to the technical field of electric power monitoring and comprises the following steps: acquiring original echo time sequence data; calculating the distance between the transmitting end and the top of the metal expander by combining the propagation velocity of the ultrasonic waves in the air; and when the oil level height value is lower than a set threshold value, an alarm signal is triggered. According to the invention, the problems of easy clamping stagnation, complex installation, large temperature drift and environmental interference and the like of the traditional float-type, pressure-type and window observation methods are effectively overcome, remote uploading and local acousto-optic prompt are supported, and intelligent inspection and fault pre-warning identification under unattended operation are realized; and the operation safety, the monitoring reliability and the operation and maintenance intelligent level of the oil-immersed current transformer are remarkably improved.

The invention relates to the technical field of detection, particularly discloses an ultrasonic guided wave non-contact accurate liquid level measurement method for a high-temperature closed container, and aims at solving the problems that in the prior art, measurement precision is low and interference is prone to occurring in a high-temperature environment. Effective signals are extracted through a self-adaptive interference suppression algorithm, the liquid level is calculated through multi-source data fusion, and an intelligent calibration and self-diagnosis system and a machine learning prediction model are arranged. Experiments show that the measurement error of the method can be controlled within + / -3cm, and the method is remarkably superior to a traditional method and is suitable for accurate liquid level measurement of high-temperature closed containers in the industries of chemical engineering, electric power and the like.

The utility model relates to the technical field of liquid level sensors, in particular to a capacitive liquid level sensor. Through a mounting plate and an outer electrode tube fixedly mounted on the mounting plate, an inner electrode is mounted in the outer electrode tube, a tube cavity of the outer electrode tube is divided into a first tube cavity and a second tube cavity, the inner electrode comprises a first metal wire and a second metal wire, the first metal wire is positioned and mounted in the first tube cavity through a first protective sleeve, and the second metal wire is positioned and mounted in the second tube cavity through a second protective sleeve. The second metal wire is positioned and mounted in the second pipe cavity through the second protective sleeve; and the upper ends of the first metal wire and the second metal wire penetrate out of the mounting plate to form leading-out ends of the inner electrode. Through the structure, the first metal wire and the first pipe cavity as well as the second metal wire and the second pipe cavity form two cylindrical capacitors, so that the measured data is more stable and accurate, and the long-time use of the liquid level sensor can be ensured.

The invention discloses a construction method for constructing a deep foundation pit by using an existing structure, and relates to the technical field of foundation pit construction.The construction method comprises the steps that the existing enclosure structure is positioned, a crown beam of the existing enclosure structure is chiseled away after excavation, and a fender post design scheme is confirmed; small-diameter secant piles are constructed according to the fender post design scheme, and a newly-built fender post is formed; the joint of the newly-built enclosure structure and the existing enclosure structure is reinforced; the crown beam is constructed, and the newly-built enclosure structure and the existing enclosure structure are connected; according to the excavation process, the defect position of the enclosure structure is reinforced; establishing and training a correlation model based on the water level data and the deformation data to obtain a water level deformation correlation model; and according to the real-time water level change, performing defect prediction and early warning on the enclosure structure in combination with the water level deformation correlation model, and reinforcing the defects of the enclosure structure. According to the method, the occupied area of the enclosure structure is reduced, the existing enclosure piles are repaired, and the defects of the enclosure structure can be accurately found and reinforced.