242 results about "Hydraulic structure" patented technology

The invention discloses an acoustic-optical imaging semantic fusion detection method for underwater defects of a hydraulic structure, and the method comprises the steps: obtaining underwater acoustic and optical images of the hydraulic structure at the same time through underwater acoustic-optical imaging sensing for the underwater defects of the hydraulic structure; and on the basis, acoustic semantic features in the acoustic image are extracted through a semantic feature extraction module, optical image features in the optical image are processed by taking the acoustic semantic features as guidance, and a defect detection result is obtained when an underwater defect target exists in the image, so that underwater defect sound-light imaging semantic fusion detection is realized. The technology is suitable for health monitoring of various dam system hydraulic structures, and operation safety and water safety of hydraulic engineering are guaranteed.

The invention provides a dam deformation deep learning prediction method fusing hysteretic HST and an interpretable hybrid convolution attention mechanism, and belongs to the field of hydraulic structure health monitoring. According to the HST model, dam deformation influence factors are divided into water level, air temperature and time, and phase difference analysis and related compensation technologies are introduced, so that the parameter quantity of the model is remarkably reduced, traditional 9 cycle terms are reduced to 4 core components, and the modeling efficiency and precision are improved. On the basis, a mixed deep learning model combining 1D convolution, LSTM, 2D convolution, a multi-head self-attention mechanism and an interpretability method SHAP is constructed, and efficient prediction of dam deformation is achieved. The model has both long and short term response modeling capability and long sequence stability, has relatively high interpretability, and is suitable for dam body structure health assessment and early warning in a complex environment.

The invention provides an arch dam shape efficient intelligent optimization method and system based on an agent model. The method comprises the steps that an arch dam physical-numerical model is constructed, a double optimization target with structural safety and economical efficiency as the core is determined, design parameters are selected, a constraint function is set, and an evaluation index system is established; samples are generated through Latin hypercube sampling, a data set is constructed in combination with finite element calculation, and a multi-task learning architecture is adopted to train a high-precision agent model. And then, coupling the proxy model with a multi-objective optimization algorithm, quickly searching a Pareto optimal solution set, and screening out a comprehensive optimal figure by using a multi-attribute decision-making method. And finally, through a finite element simulation verification result, prediction precision and performance improvement are ensured. The method has the advantages of lightweight modeling, efficient prediction and accurate search, and provides an effective tool for intelligent optimization and rapid decision making of hydraulic structures such as arch dams and the like.

The invention relates to the technical field of intelligent water conservancy, and discloses and provides a hydraulic structure large language model fine tuning and graph retrieval enhanced generation method based on knowledge distillation, and the method specifically comprises the steps: obtaining a hydraulic structure instruction fine tuning data set in combination with a knowledge distillation method; performing supervised training on the large language model by using a low-rank decomposition technology to obtain a hydraulic structure large language model; identifying a question intention of a user by using a hydraulic structure large language model, and converting a question statement into a knowledge graph query language; and enhancing the professional and credibility of water conservancy generated by the answer of the large model of the hydraulic structure by using a knowledge graph retrieval result. According to the method, the hydraulic structure knowledge is embedded into the large language model, the large language model customized for the hydraulic structure field is obtained, and the explicit knowledge stored in the water conservancy knowledge graph and the implicit knowledge of the large language model are effectively combined, so that the answer is more accurate and traceable, and an effective technical means is provided for intelligent water conservancy construction.

The invention discloses a method for efficiently and finely evaluating nitrogen and phosphorus consumption of a polder small micro water body, and relates to the technical field of water environment health evaluation. The method comprises the following steps: extracting pools, ditches, river network systems and hydraulic structures in a polder; based on a digital elevation model, rainfall and water level data of a polder, a geographic information system is utilized to analyze natural confluence, extreme conditions and a ground surface confluence process under strong manual regulation and control, a source-flow-confluence path of a small and micro water body in the polder is defined, and a small and micro water body topology network structure of the polder is formed; constructing a coupling source land nitrogen and phosphorus load accounting algorithm, an aquatic vegetation interception algorithm and a biogeochemical cycle process accounting algorithm, and depicting the nitrogen and phosphorus load current situation and the absorption potential of a single small and micro water body; and constructing a polder small and micro water body topology network structure-based nitrogen and phosphorus consumption network flow algorithm to realize small and micro water body nitrogen and phosphorus consumption load amount and retention amount accounting so as to complete polder small and micro water body nitrogen and phosphorus consumption evaluation.

The invention discloses an underwater target volume measurement method, device and equipment based on three-dimensional reconstruction and a medium, and belongs to the technical field of photogrammetry, underwater image processing and point cloud volume calculation cross, and the method comprises the steps: carrying out the video data collection of an underwater target through video collection equipment, and obtaining an original image with image format data; the underwater image enhancement method model based on depth estimation performs image enhancement on the original image to obtain an underwater enhanced image; reconstructing a real scene containing a target based on the underwater enhanced image; and based on the three-dimensional reconstruction point cloud, segmenting to obtain the to-be-measured target, and obtaining the volume parameter of the underwater target. According to the method, a three-dimensional reconstruction technology is utilized, a real target structure is restored, the measurement accuracy of the underwater target defect volume is improved, a reference standard is provided for later repair, the maintenance cost is reduced, and the operation safety of a hydraulic structure is guaranteed.

The invention relates to the technical field of robot navigation, in particular to a hydraulic structure inspection robot self-adaptive navigation method based on multi-source data fusion. Comprising the following steps: acquiring visual image data, three-dimensional point cloud data, I MU data, ultrasonic data, historical hydrological data and current hydrological data; performing fusion processing on the visual image data, the three-dimensional point cloud data, the I MU data, the ultrasonic data and the historical hydrological data to obtain fusion state data and an environment map; determining an initial positioning result based on the fusion state data, the environmental map, the current hydrological data and a preset obstacle avoidance model; based on the initial positioning result and a preset verification model, determining a navigation positioning result; and obtaining a path navigation result based on the navigation positioning result, the environment map and the current hydrological data. The invention aims to solve the problem that the existing inspection robot is easy to collide in a sheltered environment or a dynamic scene, so that the inspection task is interrupted or the inspection efficiency is low.

The invention discloses an arch dam aging deformation mechanism analysis method, and relates to the field of hydraulic structure safety. The method comprises the steps that based on three-dimensional terrain and geological data, a high-precision arch dam-foundation overall finite element mesh model is established, concrete materials and permeation partitions are divided carefully, and an anti-seepage and drainage system structure is embedded; by means of multi-source monitoring data, real boundary conditions such as water temperature and air temperature and thermodynamic parameters are dynamically recognized and optimized through the intelligent inversion technology; respectively analyzing the aging influence of single factors such as a temperature field and valley amplitude deformation on arch dam deformation by adopting finite element simulation; on the basis of the normalized deformation response data, a Bayesian optimized long-short-term memory neural network and a hierarchical correlation propagation algorithm are adopted, contribution weights of all factors to deformation are calculated, and weight rationality is verified through global sensitivity analysis. According to the method, quantitative separation and evaluation of the main deformation influence effect of the arch dam are realized, and a theoretical basis can be provided for structural health monitoring and safety management.

The invention discloses a hydropower station unit tail water gate groove water surface floating object salvaging device which comprises a rail fixed to a hydraulic structure, a remote control driving device capable of moving in the extending direction of the rail and a salvaging basket hung on a lifting appliance. The remote control driving device is connected with a lifting appliance and can drive the fishing basket to move in the up-down direction and the extending direction of the rail, so that water surface floating objects in the tail water gate groove are fished through the fishing basket. A remote control driving device and a movable fishing basket are adopted, so that the working efficiency of fishing the floating objects on the water surface is improved; and in addition, the fishing device efficiently and cleanly fires water surface floating objects in the tail water gate groove before the tail water gate is ready to fall during unit maintenance, it is guaranteed that the tail water gate of the unit falls in place at a time, the safety risk that personnel dive is avoided, and the maintenance work period is shortened.

The invention provides a waterproof design method and a long-term performance maintaining method for a reinforced concrete structure. Reinforcing steel bars are arranged in concrete, and the top face of the concrete is covered with a waterproof layer. The method comprises the following steps: determining an essential mechanism of waterproof layer cracking caused by concrete cracking from a microscopic scale; based on the essential mechanism, the width value of the concrete top surface crack is applied to the bottom surface of the waterproof layer as forced displacement in the opposite direction; iteratively calculating the cracking height of the waterproof layer; it is ensured that the remaining uncracked solid thickness of the waterproof layer is still larger than the minimum solid thickness meeting the waterproof requirement under the condition that concrete cracking is not considered. And at the moment of initial cracking of the concrete, the longitudinal tensile thickness of the waterproof layer has obvious influence on the final cracking height of the waterproof layer, but the calculation result of the cracking height tends to be stable when the thickness is close to the nanoscale. According to the invention, the long-life design of the waterproof layer is facilitated, and the method is applicable to bridges, roads, tunnels, buildings and hydraulic structures.

The invention relates to the technical field of structural design of hydraulic structures, and particularly discloses a method, a system and a terminal for determining a combined lining of a high-pressure water delivery tunnel. In the establishment process of a numerical calculation model of the combined lining, a composite drainage plate is equivalent to a uniform isotropic entity medium with the thickness of d; the mechanical property of the composite drainage plate is represented by adopting a comprehensive elastic modulus E, the structural stress of the composite drainage plate and the water pressure bearing ratio in the steel pipe are restrained through a steel pipe allowable stress control threshold value, a pipe piece crack resistance allowable stress control threshold value and a steel pipe bearing ratio control threshold value, and finally the d / E value range of the composite drainage plate is determined. Through the mode, a scientific and clear basis is provided for the value of the composite drainage d / E in the combined lining, the problem that the value is obtained depending on experience at the present stage is solved, and the subjectivity of manual selection is avoided.

The invention discloses an underwater detection system and method for a hydraulic structure, belongs to the field of underwater detection systems for hydraulic structures, and adopts fractal tree-shaped path planning to realize double-optimal solutions of detection efficiency and precision, namely a fractal algorithm based on a self-similar growth rule of fern leaves. A tree-shaped path is recursively generated by taking an initial detection point as a root node, a main branch can quickly cover a detection surface area to form a macroscopic skeleton path, a sub-branch dynamically adjusts the extension direction according to coordinates of key parts, the coverage rate of a curvature mutation area is improved, a detection blind area of a traditional fixed route is effectively eliminated, and the detection efficiency is improved. Through innovative combination of a bionic fractal algorithm, multi-source data intelligent fusion and dynamic feedback control, the problem of a one-cut detection strategy in traditional hydraulic underwater detection is systematically solved, and an efficient, accurate and intelligent technical scheme is provided for structural safety monitoring in the fields of hydraulic engineering, ocean engineering and the like. And the method has remarkable engineering application value and economic benefit.

The invention relates to a long water tank mobile surface flow field measurement method, which comprises the following steps: utilizing a river channel local scouring experiment model, the model is a water tank, and the middle part of the water tank is provided with a vertical support rod for simulating a building component; a constant-speed motion traction camera device is built above a water tank, so that a mobile camera moves at a constant speed at a certain inclination angle, meanwhile, water flow in the water tank is shot, and a water flow surface flow field is obtained through calculation according to a shooting result. The method comprises the following steps: performing perspective transformation processing on an obtained image to obtain a continuous front view image, identifying checkerboard control points to position each frame of corrected image, and cutting a tracer particle image by using coordinates of intelligent identification side wall control points. After surface tracer particles are extracted through a morphological method, flow field splicing is carried out on instantaneous flow fields at different moments to obtain a surface flow field in a large range, the problems that traditional fixed flow field measurement is low in precision and small in range are effectively solved, and an effective technical means is provided for hydraulic structure research and water body monitoring.

The invention belongs to the field of hydraulic structure safety monitoring and predictive analysis, and particularly relates to a method for estimating abnormal seepage flow of a concrete faced rockfill dam based on parameter transplantation and overflow weir monitoring flow. The scientificity and the precision of seepage flow estimation are improved by combining an upstream watershed hydrological model and dam rear micro-region runoff and confluence simulation; the overflow weir is adopted to monitor flow data, and is combined with the actual reservoir water level change to construct a more reliable water level-seepage flow relationship. The method is suitable for dam seepage flow estimation under the normal working condition, abnormal seepage can be recognized and quantified, and the early warning capacity for the hidden danger of seepage is improved. Dependence of a traditional method on a large number of monitoring devices is avoided, engineering operation and maintenance cost is reduced, and stability and reliability of data are improved.

The invention relates to the field of hydraulic structures, in particular to a three-dimensional damage rapid positioning method for a complex aqueduct structure. Acoustic emission or microseismic signals in the aqueduct structure are collected, and the first arrival time of the signals is picked up through an STA / LTA long and short time window energy ratio method; constructing a curved surface structure model composed of a groove surface and a side wall; parameterizing the cross section, and constructing a groove surface propagation path set according to the position relationship between the damage point and the sensor in a parameter space; for each pair of damage points and sensors, selecting a path with the minimum groove surface path length as a shortest propagation path, and calculating theoretical arrival time according to the shortest propagation path; establishing a residual function between the theoretical arrival time and the actually measured arrival time, and constructing a jacobian matrix of arrival time change; and solving the coordinates and occurrence time of the damage source. According to the method, the parameterized model of the aqueduct section is established, traditional ray tracing is replaced with the curved surface shortest path thought, and the numerical difference and rapid iteration methods are combined, so that efficient and robust damage source positioning is achieved.

The invention discloses an open-web gravity dam deformation prediction and mechanism interpretation method, system, equipment and medium, and belongs to the technical field of dam and hydraulic structure health monitoring and state evaluation. Constructing the preprocessed monitoring data into corresponding feature vectors, dividing a time sequence data set, and performing XGBoost model training and hyper-parameter optimization to obtain a prediction model; calculating a corresponding SHAP value, and screening a key factor as an independent variable for model analysis; and selecting a control index to evaluate the performance of the model, and deploying the model to a dam safety monitoring system after verification so as to carry out real-time prediction and early warning. According to the method, while high-precision deformation prediction of the open-web gravity dam is realized, quantifiable mechanism explanation of the prediction result is provided, so that transparent and reliable decision support is provided for safety monitoring and early warning of the dam.

The invention discloses a landslide surge physical model test drag force prediction method based on AM-LSTM, and the method comprises the steps: constructing a three-dimensional hydrodynamic coupling physical model of landslide surge for a target landslide region and a hydraulic structure structure based on Froude similarity criterion, and carrying out the prediction of the drag force of the landslide surge. The method comprises the following steps: acquiring dynamic data of dam surface drag force by setting test groups with different landslide mass volumes and water depths, constructing a data set containing time sequence features, performing normalization preprocessing, and dividing the data set into a training set, a test set, a feature data set and a label data set; a long short-term memory neural network LSTM layer and an attention mechanism AM layer are introduced, data are input for training, a long short-term dependency relationship between the data is captured, dynamic prediction of drag force is realized, and result visualization is performed. According to the method, the towing force sequential evolution rule caused by landslide surge is captured through the LSTM model with the attention mechanism, dynamic prediction of the towing force is realized, and the prediction accuracy is improved.

The invention provides an irrigation district engineering management method, device and equipment based on digital twinning and a medium, and belongs to the technical field of irrigation district engineering management.The method comprises the steps that irrigation district information data are collected and preprocessed; the method comprises the following steps: carrying out oblique photography on an irrigation area to collect image data of the irrigation area, constructing an irrigation area basic base map in combination with geographic information data of the irrigation area, introducing key elements of the irrigation area, carrying out three-dimensional digital modeling on the irrigation area, and introducing a BIM model of a hydraulic structure to obtain a digital twin irrigation area system; monitoring an irrigation district project through a digital twinborn irrigation district system; and according to the real-time irrigation district information data and the engineering management model, matching an irrigation district management scheduling instruction, sending the irrigation district management scheduling instruction to execution equipment of the hydraulic structure, and displaying the operation state of the corresponding hydraulic structure. According to the invention, by introducing digital twinning, refined and intelligent management of irrigation district engineering is realized, and the problems of insufficient water resource scheduling monitoring, low scheduling efficiency and high error rate in traditional irrigation district management are solved.

The invention discloses an underwater topographic measurement method. In order to solve the problems that in an existing physical model experiment, contact type measurement destroys the terrain, optical measurement is interfered by refraction, and acoustic equipment is high in cost, a measurement scheme integrating flight time correction and refraction geometric compensation is provided. According to the method, a depth camera is arranged to collect scoured terrain point cloud data in real time, Gaussian filtering denoising and outlier elimination are carried out in sequence, a double-medium light path correction model is constructed based on the Snell law, flight time errors caused by light velocity differences and axial and radial offsets caused by air-water interface refraction are calculated respectively, and the accuracy and the reliability of the two-medium light path correction model are improved. And finally, high-precision three-dimensional terrain coordinates are generated. According to the method, low-cost hardware of the depth camera is combined with algorithm compensation, errors caused by refraction and light velocity differences in underwater topographic survey are reduced, experimental results show that the average relative error is smaller than 3%, non-contact and high-precision real-time monitoring of the physical model scoured topography is achieved, and reliable technical support is provided for hydraulic structure safety assessment.

The invention discloses a hydraulic structure risk assessment method based on a multilevel dynamic fuzzy Bayesian network, and relates to the technical field of hydraulic engineering safety monitoring, and the method comprises the following steps: recognizing risk factors of a hydraulic structure, and building a hierarchical hydraulic structure risk assessment system; a Bayesian network risk probability model is constructed based on a risk assessment system, nodes in the model correspond to indexes of each layer of the assessment system, and edges among the nodes are connected according to a causal relationship among the indexes. According to the invention, accurate and dynamic management and control of hydraulic structure risks are realized. In the aspects of data processing and risk judgment, multi-source monitoring data such as displacement, seepage and water level are classified and integrated according to an index layer, a criterion layer and a target layer through hierarchical evaluation system design, the isolation problem of traditional single data monitoring is avoided, the data collaboration value is fully mined through logic association among the layers, and the risk judgment accuracy is improved. And the risk assessment does not depend on one-sided information any more.

The invention discloses an indoor test device and a test method for simulating soil-structure interface seepage erosion, and belongs to the field of hydraulic structure and interface seepage damage simulation. The device comprises a seepage chamber, a structural interface module, a test soil body, a graduated scale, a pressure measuring pipe, a particle filter sieve, a drainage funnel, a water receiving container, a weighing device, a water supply tank, a water storage tank 19, a variable-height bracket and a water pump. The device adopts a double-outlet design to respectively measure the seepage flow at the soil body and the interface, and is matched with the four pressure measuring pipes to monitor the water pressure change at different positions in real time, so that the interface seepage characteristics can be accurately obtained, and the test error is effectively reduced. The three side faces of the seepage chamber are covered with the flexible rubber films and coated with vaseline, it is ensured that the seepage channel is only formed in the preset structural face, interference of the boundary effect on the test result is avoided, and the test precision is improved.

The invention discloses an earth and rockfill dam heightening anti-seepage structure, and relates to the field of hydraulic structure construction. A heightened reinforced concrete guide wall is arranged on the top of the original earth-rock dam, a sand cushion layer and a waterproof layer are arranged between the original earth-rock dam and the heightened reinforced concrete guide wall, and the water seepage phenomenon at the connecting position of the heightened reinforced concrete guide wall and the top of the original earth-rock dam is prevented. The limiting structure is arranged at the top of the original diaphragm wall, the heightened reinforced concrete guide walls are poured between the two heightened reinforced concrete guide walls, so that a structure embedded with the limiting structure is formed at the bottom of the heightened diaphragm wall, and the waterproof performance of the connecting position of the heightened diaphragm wall and the original diaphragm wall is improved; the invention further discloses a construction method of the heightened anti-seepage structure of the earth and rockfill dam, and in the pouring process, the stability of the heightened anti-seepage wall structure is improved by controlling the concrete pouring rate, the vibrating rate and the anchor bar prestress.

The invention discloses an anti-bed load impact wear concrete bottom plate rigidity gradient structure and a construction method thereof, which are used for protecting a hydraulic structure bottom plate from impact wear damage and improving the ability of concrete to resist bed load impact wear damage. Aiming at the acting force characteristics of suspended load and bed load at the bottom plate part, a three-layer composite design (a surface layer, a middle layer and a bottom layer) is adopted to form an integral rigidity gradient structure of the anti-bed load impact wear concrete bottom plate. The structure can effectively improve the bed load abrasion resistance of the bottom plate of the hydraulic structure. According to the rigidity gradient structure of the anti-bed load abrasion concrete bottom plate and the construction method of the rigidity gradient structure, the impact energy of rolling block stones can be effectively absorbed, the surface hardness of the concrete bottom plate is guaranteed, the anti-bed load abrasion capacity of the concrete bottom plate is remarkably improved, and the service life is prolonged; the concrete is suitable for construction of anti-abrasion concrete bottom plates of buildings and hydraulic concrete structures with the requirement for resisting abrasion of high-speed water flow.

The invention discloses a multi-source time sequence decomposition and fusion hydraulic structure behavior prediction method, which comprises the steps of 1, acquiring historical time sequence monitoring data of a hydraulic structure, including behavior parameters and environmental quantity parameters, the behavior parameters including dam body settlement and seepage flow, and the environmental quantity parameters including dam body water level and rainfall; 2, preprocessing the acquired monitoring data, and constructing a hydraulic structure behavior model input data set; 3, determining an optimal decomposition period of an input data set of the hydraulic structure performance model; 4, according to the determined optimal decomposition period, decomposing the preprocessed hydraulic structure performance model input data set into three component parameters according to an original time sequence, wherein the three component parameters are respectively a trend component parameter, a periodic component parameter and a residual component parameter; and 5, superposing the predicted values of the three component parameters according to time points to obtain a final performance predicted value of the hydraulic structure. According to the method, the prediction precision is remarkably improved, and the stability and reliability of long-term prediction are remarkably improved.

The invention relates to the technical field of water conservancy project hydraulic structure surface disease detection, in particular to a dam panel crack shape real-time segmentation and size estimation method and device, and the method comprises the following steps: S1, collecting crack diseases of a dam surface panel, and constructing a deep learning segmentation sample data set through pixel-level labeling; s2, fine processing based on digital morphological convolution is carried out on the image, crack contour information is enhanced, and crack segmentation is carried out based on a YOLOv8-Seg model. According to the method, the training set specially used for detecting the crack of the dam surface panel is established, and how to enhance the crack contour information in a complex dam working condition environment is concerned so as to improve the characterization capability of the segmentation model.

The utility model discloses a structure for preventing internal leakage of horizontal single-stage centrifugal pump, related to centrifugal pump field, including pump body, guide vane, impeller and motor, be equipped with water inlet and water outlet on the pump body, and motor is connected through motor shaft and drives impeller, and guide vane cover is established in the impeller outside and is close to the water outlet place, and the impeller mouth part is close to the water inlet place and installs the mouth ring, and the mouth ring is supported on the guide vane, and forms the primary seal between the pump body and the guide vane, installs the sealing washer at the pump body and the guide vane sealing surface outside side stop mouth step, and the sealing washer is extruded by the pump body and the guide vane, forms the axial contact surface and radial contact surface, and the axial contact surface forms the axial seal with the guide vane, and the radial contact surface forms the radial seal with the pump body. The utility model effectively solved the problem of the low efficiency caused by the internal leakage of the water pump due to the poor flatness of the pump body and the guide vane cooperation sealing surface, and under the condition of not destroying the hydraulic structure, increases secondary seal, reduces the volume loss, thereby improves the water pump efficiency.

The invention provides a hydraulic structure health monitoring method fusing physical constraints and a time sequence large model, relates to the field of hydraulic structure monitoring, and solves the technical problems that an output result violates a physical law and a hydraulic monitoring result is inaccurate due to lack of physical consistency in the prior art. The method comprises the following steps: collecting various sensor monitoring data of the hydraulic structure; inputting the monitoring data into a pre-trained prediction model; through a physical constraint module of the prediction model, taking environmental load data, material parameter data and geometric boundary data of the hydraulic structure as input, embedding a mechanical equation describing behaviors of the hydraulic structure into a loss function of the prediction model, and outputting a structure response prediction value and a structure safety threshold value; through a time sequence prediction module of the prediction model, taking monitoring data as input, and outputting a structure state prediction value of a future time period and a confidence interval of the prediction value; and based on an output result of the prediction model, generating a hydraulic health state assessment result and early warning information.

The invention discloses a hydraulic structure safety assessment method and system based on multi-source information fusion, and the method comprises the steps: firstly obtaining a monitoring data set of a to-be-assessed hydraulic structure, dividing the monitoring data set into a structure subregion monitoring data set, and extracting subregion safety influence features; secondly, dividing the features into feature sets of a first influence dimension and a second influence dimension; then constructing a first influence association network based on the association closeness degree, and constructing a second influence association network based on the physical space position; through coupling of the features and the associated entities, two-dimensional comprehensive evaluation features are obtained respectively; and finally, fusing the two-dimensional features of the same sub-region, judging the security level, and outputting an evaluation result. According to the design, through multi-dimensional feature correlation analysis and coupling fusion, comprehensive and accurate evaluation of the structural safety of the hydraulic structure is realized, and a scientific basis is provided for engineering safety management.

The present application relates to the technical field of grouting construction, and particularly relates to a split grouting continuous construction method for a diaphragm wall of a deep foundation pit hydraulic structure, comprising: determining a continuous grouting unit and a wall forming target according to a design line of the diaphragm wall, wherein the continuous grouting unit comprises adjacent grouting hole groups and an inter-hole overlapping area; obtaining response data representing the expansion state of the inter-hole overlapping area during split grouting of the continuous grouting unit; determining discrimination information representing the expansion deviation of the grout vein and the inter-hole overlapping state based on the response data and the wall forming target; determining the wall forming continuous state of the continuous grouting unit according to the discrimination information; determining grouting control parameters when the preset continuous wall forming condition is not met, and performing linkage grouting on the adjacent grouting hole groups based on the grouting control parameters; and advancing to the next continuous grouting unit when the preset continuous wall forming condition is met. Through the present application, the inter-hole overlapping controllable discrimination and the section-by-section continuous wall forming of split grouting in a heterogeneous stratum are realized.

This invention discloses a mixing pile machine, belonging to the field of engineering machinery technology. The mixing pile machine uses a motor to drive a spherical shaft to rotate. The motor speed can be adjusted according to different actual conditions, thereby adjusting the speed of the mixing drill rod to adapt to mixing pile operations in rock caves with different geological conditions, improving the efficiency and quality of mixing pile construction. Compared to existing technologies that use a hydraulic structure to drive the mixing drill rod, this invention allows for adjustment of the mixing drill rod speed by adjusting the motor speed, avoiding the impact on construction efficiency or quality caused by the non-adjustable mixing drill rod speed. It can adapt to different geological conditions, improving the efficiency and quality of mixing pile construction.