683 results about "Hydropower engineering" patented technology

The invention belongs to the technical field of water conservancy and hydropower engineering, and discloses a water conservancy and hydropower engineering construction safety supervision system based on multi-source data fusion. The system comprises a multi-source sensing acquisition module, a heterogeneous data fusion processing module, a risk identification and early warning module, a safety behavior evaluation and feedback module, and a command scheduling and visualization module. According to the invention, by fusing multi-dimensional data such as image monitoring, environment sensing, personnel positioning, equipment state and the like, a space-air-ground three-dimensional sensing network is constructed, and in a high slope area, the distributed optical fiber strain sensors are linked with thermal imaging data of the unmanned aerial vehicle, so that millimeter-level deformation and temperature field abnormity can be captured in real time; a video stream is analyzed in real time by means of a YOLOv8 algorithm, illegal operation behaviors of personnel can be accurately identified, a cross-modal fusion model of a Transform architecture is combined, the system can dynamically capture potential correlation among data, and millisecond-level response to risks such as side slope landslide, equipment faults and personnel dangerous operation is achieved.

The invention relates to the field of water conservancy and hydropower engineering, in particular to a multi-objective optimized hydropower ecological scheduling decision-making system and method, and the system comprises a data collection module, an ecological model module, an intelligent decision-making engine module, a scheduling execution module, an effect evaluation module and a knowledge base module. The data acquisition module collects multi-source data, the ecological model module generates a training data set, the intelligent decision engine carries out ecological process modeling and probability prediction based on a deep learning architecture and spatial-temporal feature extraction, and generates a scheduling decision, the scheduling execution module controls hydropower engineering operation, and the effect evaluation module monitors ecological and economic effects. The knowledge base module stores historical experience and provides optimization suggestions, and the system improves the simulation accuracy of the ecological system, especially when the flow changes suddenly; and through uncertainty quantification, the system reliability and the ecological safety guarantee rate are enhanced, and high efficiency, accuracy and sustainability of ecological scheduling of the hydropower engineering are realized.

The invention discloses a dam safety monitoring agent system based on a multi-dimensional large model and digital twinning, and belongs to the technical field of safety monitoring of water conservancy and hydropower engineering. According to the method, a cognitive decision kernel is used as a core innovation module, multi-source data is collected by relying on a sky-ground hydraulic engineering integrated sensor network, cross-modal data fusion and anomaly recognition are achieved through a multi-dimensional large model cluster, and multi-physics coupling simulation is completed in combination with a digital twinborn body; the cognitive decision kernel generates an optimal combination scheme through case retrieval and measure unit adaptation degree calculation, a control instruction is output after digital twin rehearsal verification, and finally closed-loop control of dam safety real-time early warning, autonomous decision making and efficient disposal is achieved through an autonomous response mechanism. The problems of data island, passive response, expert dependence and the like of a traditional monitoring system are solved, the dam safety management intelligent level and the emergency response capability are remarkably improved, and the method has wide engineering application value.

The invention relates to the technical field of hydropower engineering, and discloses a single-core self-healing type looped network networking method and system, and the method comprises the steps: dividing a whole network into a plurality of sub looped networks; each sub-ring network operates independently; the light switch in each sub-ring network adopts an A / B end connection mode; reversely connecting the B end of the last measuring point to the A end of the initial measuring station by using an optical fiber to form a closed physical structure; configuring a protocol on the switch, and controlling a data flow path through the protocol; different sub-ring networks are connected through RJ45 ports, and a CAT5E shielded twisted pair or an Ethernet interface is used; when a certain node or link fails, the protocol automatically triggers a switching mechanism; the master station optical transceiver monitors the states of all nodes in real time and displays fault points through a network management interface. The system comprises a sub-ring network module, a control data flow module and a fault point display module. The problems that a traditional networking method of hydropower engineering is poor in reliability, and self-healing cannot be achieved after an intermediate node is disconnected are successfully solved.

The invention discloses a DEM-based reservoir flood control dispatching temporary submerging area rapid generation method and device, and relates to the field of hydraulic and hydro-power engineering temporary submerging area definition. The method comprises the following steps: dividing a river channel higher than a reservoir inundation area into a plurality of units by obtaining or generating a reservoir reach DEM, a river channel section line, a normal water storage level inundation area range and water return meters under different working conditions; calculating the water level of each unit grid by adopting an inverse distance weighting method in an interpolation manner, and comparing with the DEM elevation to determine the grid meeting the condition; and merging the units after boundary tracking and smoothing, and erasing a normal water storage level submerging area to obtain a temporary submerging area. The method solves the problems that an existing method is long in time consumption and insufficient in precision, gives consideration to efficiency and precision, and provides reliable support for flood control dispatching decision making, submerging loss evaluation and the like.

The invention provides an unmanned aerial vehicle route planning method for hydropower engineering, and relates to the technical field of hydropower engineering safety monitoring. The method comprises the steps of generating a three-dimensional terrain grid model corresponding to a target operation area, performing voxelization processing to obtain an initial voxel map, and determining a first candidate waypoint by combining the initial voxel map; based on the average normal vector distribution of the initial voxel map, segmenting and refining the voxel units to generate a fine voxel map, and determining second candidate waypoints in combination with the fine voxel map; performing collision detection on all candidate waypoints to obtain a target waypoint set; and generating an unmanned aerial vehicle operation route according to the target waypoint set. According to the scheme, the multi-level voxel map is constructed and optimized, candidate waypoint screening and space collision detection are combined, and unmanned aerial vehicle patrol monitoring route planning which adapts to complex terrains and is complete in coverage and high in feasibility is achieved at low calculation cost.

The invention relates to the technical field of task scheduling management, in particular to an intelligent scheduling management method for water conservancy and hydropower engineering detection tasks, which comprises the following steps of: acquiring active power data of a unit, smoothing, differentially generating a rate and an acceleration sequence to construct a load characteristic matrix, comparing the load characteristic matrix with a steady-state threshold to generate a quasi-steady-state interval, and calculating a quasi-steady-state interval; calculating a load instruction deviation to generate a steady-state confirmation identifier, calculating a predicted steady-state window based on the identifier, if the window is longer than the minimum sampling duration, generating a trigger acquisition signal, starting vibration acquisition to generate an original waveform, and uploading the original waveform. According to the method, the load characteristic matrix is constructed through power data differential operation, load instruction deviation dual verification is combined to recognize the steady-state time period, the steady-state window length is pre-judged, and collection is triggered when the requirement is met, so that noise interference introduced by working condition fluctuation is effectively avoided, and it is ensured that original vibration waveform data originates from a stable working condition; and the data sample purity and the fault analysis value are obviously improved.

The invention discloses an engineering geologic body multi-parameter coupling risk assessment method, belongs to the technical field of geological safety monitoring, and can solve the problem that an existing geologic body risk assessment method cannot dynamically and automatically update water conservancy and hydropower engineering geologic body risk assessment along with multi-source real-time monitoring data and cannot predict a future risk trend. The method comprises the following steps: S1, generating initial risk distribution according to initial geological data of a target engineering area and a preset coupling rule; s2, determining a target parameter prediction value and a risk trend prediction value within a preset time length according to the real-time monitoring data flow, the geological updating data and the initial risk distribution; s3, generating a dynamic risk threshold according to the target parameter prediction value and the risk trend prediction value in combination with a preset engineering safety constraint condition; and S4, comparing the current measurement value of the real-time monitoring data flow with the dynamic risk threshold value, and determining the dynamic risk level of the target engineering area. The method is used for risk assessment of the water conservancy and hydropower engineering geologic body.

The invention relates to the technical field of water conservancy and hydropower engineering, in particular to a subsurface erosion particle system mechanical property testing method based on physical state reproduction and dynamic expansion, which comprises the following steps: S1, subsurface erosion test and fine particle collection: filling a sample soil body by using a subsurface erosion tester, and carrying out a seepage action test; s2, lossless sampling and CT image acquisition: carrying out lossless sampling on the residual soil sample after the subsurface erosion test, and acquiring a CT scanning image of a particle system of the residual soil sample; s3, image processing and structural feature extraction: processing the CT scanning image, and extracting structural features; s4, establishing a numerical model: establishing the numerical model to simulate the mechanical properties of the soil body; and S5, three-axis simulation and mechanical property calculation: carrying out a three-axis simulation experiment on the numerical model. According to the invention, high-precision modeling and intelligent analysis of the microstructure and mechanical behavior of the subsurface erosion soil body are realized, and the test efficiency and the reliability of engineering application are remarkably improved.

The invention belongs to the technical field of water conservancy and hydropower engineering, and particularly relates to a computer vision-based dam seepage field rapid calculation method, which comprises the following steps of: acquiring geological attribute parameters and upstream and downstream water level working condition parameters, and constructing a sample space; constructing a data set by using a dam seepage numerical model considering the spatial variability of the permeability coefficient based on the sample space; and establishing an improved conditional deep convolutional generative adversarial network model based on the data set to realize rapid calculation of the dam seepage field. The problems that in an existing dam seepage behavior analysis and research method, a numerical simulation method occupies too many computing resources and consumes long time, most agent models only pay attention to local scattered measuring points for modeling, and overall seepage field modeling at a key section cannot be achieved are solved. However, most of the current image generation researches based on computer vision neglect the generation precision problem of high-frequency details of the image, and the high-frequency edge information of the image cannot be accurately generated.

The invention discloses a reservoir desilting method and device using fixed jet flow, and relates to the technical field of water conservancy and hydropower engineering desilting. According to the method, the flow speed, pressure, mud layer thickness and gradient parameters of water around a nozzle are collected in real time; calculating a jet flow angle compensation coefficient, and identifying a nozzle direction stable state; on the basis of a nozzle set with stable direction, a nozzle group is constructed and a time sequence differential control table is established by combining a topological relation between nodes and disturbance propagation characteristics, so that ordered migration of turbulent flow disturbance is realized; sediment concentration, flow velocity and flow data are collected in a flow guide plate and a sediment discharge port area, and a desilting efficiency index is calculated and used for evaluating sediment transportation continuity and flow guide performance; and a comprehensive operation optimization coefficient is generated through a multivariable adaptive weighted fusion algorithm, and the system automatically executes adaptive regulation or sends out a manual intervention prompt. According to the method, self-monitoring, self-correction and global optimization of the fixed jet system can be achieved, and the reservoir dredging efficiency and the operation stability are remarkably improved.

The invention relates to the technical field of project cost, in particular to a water conservancy and hydropower project cost achievement quality inspection method and device based on VSTO. Preprocessing the cost achievement document in the Excel format to form a file in which a bill of quantity, a project unit price and a basic price are associated with each other; performing quality inspection on the file formed after preprocessing, wherein the quality inspection comprises form inspection, rule inspection, unit price inspection and index inspection which are sequentially performed; and integrating quality inspection results by using a large language model and an intelligent agent technology to generate an inspection report in a unified format. Excel serves as a uniform interface to be compatible with multi-source data, a large language model is introduced to achieve intelligent generation of a check report, the defect of compatibility of file formats and check logic in the prior art can be overcome, and key technical support can be provided for digital transformation of water conservancy and hydropower project cost management.

The invention discloses a hydropower engineering electromechanical equipment installation detail control method based on a three-dimensional laser scanning technology, and the method comprises the steps: S1, setting and determining the instrument parameters of a three-dimensional laser scanner, and collecting the point cloud data of a target region through the three-dimensional laser scanner; s2, remotely reading the point cloud data through a computer, uploading the point cloud data to a cloud database in a file stream form, and storing the point cloud data; s3, performing iterative fitting on the plane model by using a random sample consensus algorithm RANSAC and removing inner points, fitting a target ball model by multiplexing the RANSAC algorithm in the residual point cloud data after the plane model is removed, and screening target ball parameters with the maximum number of inner points; s4, constructing a combined reference model based on the electromechanical equipment to be installed and the virtual target ball, and performing coordinate deviation value comparison with the actually measured target ball model to obtain a deviation value; and S5, generating an installation detail adjustment scheme according to the coordinate deviation value, and sending the adjustment scheme to a mobile client of the field installation personnel.

The present invention provides an intelligent decision-making system and method for water conservancy and hydropower project construction management, comprising a data layer, a platform layer, and an application layer. The application layer includes a safety management unit, a quality management unit, a progress management unit, and a decision-making recommendation unit. The present invention manages and comprehensively analyzes process data generated during the construction process, significantly improving the efficiency and targeted management of engineering projects. Furthermore, the system explores the relationships between process data such as safety, quality, progress, resource input, and images, and uses corresponding anomaly detection models to detect anomalies in safety data, quality data, and progress data. When an anomaly exists, the system constructs and uses corresponding analysis models to determine the cause of the anomaly and recommends decision-making recommendations for resolving the anomaly. This allows for timely optimization of resource allocation, improves resource utilization, and reduces project costs through quantitative control of resource input.

The invention discloses a five-directional stressometer monitoring data anomaly identification method based on PCA confidence interval analysis, and relates to the technical field of hydropower engineering. According to the method, circle centers (zt1, zt2) and radiuses r1r2 of two-dimensional coordinate data points in each time period are obtained, all the circle centers are subjected to arithmetic average to obtain a final circle center, all the radiuses are subjected to arithmetic average to obtain a final radius, and therefore a global confidence circle is formed; and when new data appear, performing the same PCA transformation and coordinate mapping on the new data, and judging whether a new point is in the final confidence circle so as to realize anomaly detection. According to the method, data dimensionality reduction is performed on data of each monitoring point of the five stress meters by adopting a principal component analysis method, and a final confidence circle is formed by performing arithmetic averaging on two-dimensional circle center coordinates and radiuses of monitoring data in multiple periods; judging whether the data of each monitoring point is normal or not by judging whether the circle center coordinate of the new confidence circle is in the final confidence circle or not; the whole method is suitable for hydropower engineering dam monitoring, equipment diagnosis and data analysis scenes of rapid anomaly detection.

The invention discloses a method for determining the crest elevation of a rolling type earth and rockfill dam in water conservancy and hydropower engineering. Comprising the following steps: collecting meteorological data, determining a calculated wind speed, determining a water area plane, determining an equivalent wind area length, determining a water area average depth, determining an average wave height and an average wave period, determining an average wavelength, determining a designed wave climb height, determining a wind congestion water surface height, determining a safe height, determining a dam body total superelevation, and determining a wave wall height. And determining the dam crest elevation. The method is suitable for earth and rockfill dams such as clay core-wall rockfill dams, asphalt concrete core-wall rockfill dams, asphalt concrete face rockfill dams, concrete face rockfill dams and homogeneous dams. The method not only has scientificity, accuracy, comprehensiveness, systematicness, safety and economical efficiency, but also is easy to popularize and apply, and has important significance for improving the accuracy and safety of dam design.

The invention belongs to the technical field of water conservancy and hydropower engineering, and particularly relates to a grotto side wall mechanical parameter displacement back analysis method based on a fungus growth optimization algorithm, which comprises the following steps of: 1, establishing an underground powerhouse FLAC3D numerical model by adopting an elastic-plastic constitutive model conforming to a Hook-Brown failure criterion; 2, converting a parameter back analysis problem into an optimization problem, and determining optimization variables of the mechanical parameters of the side wall of the numerical model; step 3, establishing a displacement error minimum optimization objective function; and 4, solving the target function by adopting an FGO optimization algorithm, and searching global optimal side wall mechanical parameters. According to the method, the rock mass engineering design problem that on-site large-size rock mass mechanical parameter values cannot be accurately obtained based on small-size rock samples due to the remarkable rock mass scale effect is effectively solved.

The invention discloses a water diversion structure for water conservancy and hydropower engineering, and relates to the technical field of water conservancy and hydropower water diversion devices. The filtering device comprises a filtering net cylinder; the filtering device is connected with a scraping assembly; the scraping assembly is rotationally connected with a cleaning assembly; the bottom of the water diversion box is fixedly connected with a sealing assembly; the scraping assembly is in transmission connection with the discharging assembly through the transmission assembly. The filter screen cylinder is driven to rotate through the filter device, and the filter device synchronously drives the scraping assembly to scrape impurities; the scraping assembly drives the cleaning assembly to clean the filter screen cylinder; the scraped impurities are sealed and collected by the sealing assembly, and then the transmission assembly drives the discharging assembly to be discharged in a centralized mode. The problems that in the operation process of an existing water diversion device, when impurities are discharged, water leakage is likely to be caused, and conveying efficiency is lowered are solved.

The invention belongs to the technical field of hydropower engineering construction safety intelligent monitoring, and particularly provides a hydropower engineering construction potential safety hazard image-text multi-mode intelligent identification method, system and equipment, and the method comprises the steps: collecting hydropower engineering construction potential safety hazard text and image data, and building a corresponding relation between a potential hazard text and a potential hazard image; processing the hidden danger text by using a BERT model, extracting text features, processing hidden danger image data by using a Vision Transform model of a multi-head self-attention mechanism, and extracting image features; fusing the extracted text features and image features through Gate Net to obtain fused feature expression; a feature with a higher level is extracted from the fused features through a Transform model; and classifying the processed features by using a multi-layer sensor, and outputting results of various hidden dangers. According to the method, association between a construction potential safety hazard text and an image is fully considered, an image-text multi-modal joint characterization principle based on gating circulation fusion is provided, and a construction potential safety hazard multi-modal classification identification method is provided.

The invention belongs to the technical field of ecological influence evaluation of water conservancy and hydropower engineering, and particularly relates to an aquatic food web interference simulation method for water conservancy and hydropower engineering characteristics. Comprising the steps of species background information acquisition, ingestion function class group classification, aquatic food web construction, aquatic food web interference attack, interference attack influence network propagation, aquatic food web network structure and function monitoring and simulation result output. Compared with an existing method, a food web disturbance attack mechanism and a chain propagation mechanism are introduced in the simulation method, the cumulative ecological response can be described, the interference characteristics of water conservancy and hydropower engineering are effectively simulated, and the engineering adaptability of disturbance simulation is enhanced.

The invention relates to the field of bulb through-flow turbines in hydropower stations, discloses a method for calculating the maximum runaway speed of a bulb through-flow turbine, and solves the problems that in the prior art, a scheme for calculating the maximum runaway speed of the bulb through-flow turbine under the working condition that guide vanes and runner blades are not in joint cooperation is inaccurate in calculation; the difference between the actual value and the actual value is large, and the requirement for hydropower engineering construction of a new device with a bulb tubular water turbine generator set cannot be met. According to the method, data of a large number of bulb tubular hydroelectric generating sets which run well at home and abroad for recent 30 years are collected and arranged, and then a nonlinear regression method is adopted to fit a complex relation among the data, so that a calculation formula of the maximum runaway rotating speed under the non-joint working condition is obtained. In practical application, the maximum runaway rotating speed under the non-joint working condition can be quickly and accurately calculated by substituting the rated specific rotating speed value, the maximum water head value and the nominal diameter value of the rotating wheel of the bulb tubular turbine with the maximum runaway rotating speed to be calculated into the maximum runaway rotating speed calculation formula.

The invention belongs to the technical field of residential area ecological evaluation, and particularly relates to a GIS-based hydropower engineering residential area ecological suitability evaluation method. The method comprises the following steps: aiming at the terrain, climate characteristics and social attributes of the residential area of the hydropower project, extracting evaluation factors of ecological suitability of the residential area from multiple aspects of the terrain, the environment, the society, the traffic and the space; adopting an analytic hierarchy process and a Delphi method to analyze the obtained evaluation factors, and constructing a residential area ecological suitability index system; and superposing the spatial data of each evaluation factor by using ArcGIS to obtain a residential area ecological suitability evaluation model, and analyzing the overall ecological suitability of the residential area. According to the method, by obtaining the residential area ecological suitability evaluation model, the relation between hydropower engineering construction and rural residential area development and ecological environment protection can be better evaluated, sustainable development of the regional ecological environment is achieved, and the peaceful industry of reservoir area immigrants is guaranteed.

The invention provides a soft rock damming safety evaluation method and system based on fuzzy analytic hierarchy process, and belongs to the technical field of water conservancy and hydropower engineering safety evaluation, and the method comprises the steps: constructing a target layer-criterion layer-index layer three-level evaluation model framework; determining indexes in the index layer according to the evaluation items of the item layer; calculating the weight of each index by adopting an analytic hierarchy process; establishing a fuzzy relation matrix; performing synthesis operation on the weight of each index and the fuzzy relation matrix by using a fuzzy synthesis operator to obtain an evaluation vector; and judging the safety level of damming according to the evaluation vector. According to the method, the confidence interval based on credibility distribution is constructed, a traditional single evaluation result is replaced, uncertainty in the evaluation process is fully reflected, a more comprehensive and scientific information basis is provided for decision makers, and therefore the decision makers are assisted to make more reasonable and reliable engineering decisions.

The invention discloses an analysis method for quantitatively evaluating the leakage defect degree through a flow average difference method and application, and belongs to the technical field of water conservancy and hydropower engineering safety monitoring. The difference between the average values of the flow increment and the water head increment of the adjacent water storage intervals or the difference between the average values of the flow increment and the water head square root increment of the adjacent water storage intervals serves as a flow average difference index for defect analysis and evaluation of all the intervals, so that the area where the leakage defect occurs is judged, the degree of the leakage defect is evaluated, and follow-up defect investigation and defect elimination work can be guided.

This invention discloses an ecological scheduling method and its application based on fish reproductive needs, belonging to the field of environmental protection technology in water conservancy and hydropower engineering. This invention specifically addresses the challenge of protecting fish that lay adhesive eggs. By establishing a population reproductive characteristic adaptation domain model (Ω(pi)), it quantifies for the first time the dynamic response relationship between water level fluctuations (proximal factor) and water temperature and flow velocity (terminal factor), breaking through the limitations of traditional ecological scheduling that only focuses on a single hydrological indicator. It achieves multi-objective collaborative optimization, balancing engineering needs such as flood control, power generation, and water supply with ecological protection through a dynamic adjustment model of ΔH(t). Through proximal factor monitoring and terminal factor feedback, it corrects the water level adjustment ΔH(t) in real time, improving the response speed compared to traditional methods. Furthermore, by dividing the control period according to the key processes of the fish life history, the water level fluctuation limit during the spawning period is more precise, providing an innovative technical method for ecological scheduling in water conservancy projects.

The invention is suitable for the technical field of water conservancy and hydropower engineering geophysical prospecting, and provides a method and system for quantitatively evaluating rock mass quality by using resistivity, and the method comprises the following steps: obtaining resistivity data of a target rock mass; selecting a corresponding conversion model according to the rock mass pore space connectivity and the water-containing state; converting the resistivity data into equivalent wave velocity data by using a conversion model; calculating a rock mass quality evaluation index according to the equivalent wave velocity data; performing quantitative evaluation on the rock mass quality based on the rock mass quality evaluation index; according to the method, direct comparison of an earthquake type method and an electromagnetic type method on the digital level and the mapping effect is facilitated, mutual verification and mutual complementation of results of different geophysical prospecting methods are facilitated, and conditions are created for multi-method data fusion.

The invention discloses a dam body earth-rock volume generation method, system, equipment and medium, and particularly relates to the technical field of water conservancy and hydropower engineering, and the main points are that the method comprises the steps: obtaining the terrain point cloud data of a to-be-built area of a dam body and a dam body excavation area data source, and constructing a terrain three-dimensional model and a dam body excavation model; performing coordinate system conversion on the terrain three-dimensional model and the dam body excavation model by using a seven-parameter Boolean algorithm, and performing model fusion on the terrain three-dimensional model and the dam body excavation model; determining geometric parameters of layering surfaces, and performing grid sectioning on the final assembly three-dimensional model based on the geometric parameters in a Dynamo grid sectioning program to obtain a three-dimensional layering and partitioning excavation entity model containing a plurality of dam body excavation blocks and earth-rock volume of each dam body excavation block; and accessing the three-dimensional layered and partitioned excavation entity model by utilizing a pre-constructed construction progress file, and associating the construction progress with a plurality of dam body excavation blocks in the three-dimensional layered and partitioned excavation entity model to obtain a dynamic earth-rock volume curve graph.

The utility model provides an automatic welding device for water conservancy and hydropower engineering pipelines, which comprises a bottom frame, two corresponding supporting frames are fixedly arranged on the bottom frame, a movable bracket is slidably arranged on the bottom frame, a fixed bracket is fixedly arranged at the top of one end of the bottom frame, and the fixed bracket is fixedly arranged on the top of the other end of the bottom frame. A hydraulic cylinder for driving the movable bracket to reciprocate is arranged at the other end of the underframe; a lifting adjusting mechanism is fixedly erected on the top of the supporting frame, a lifting plate is arranged at the bottom of the lifting adjusting mechanism, the lifting adjusting mechanism drives the lifting plate to move up and down, and a welding mechanism is arranged on the lifting plate. A friction driving mechanism for driving the pipeline above the fixed bracket and the movable bracket to rotate synchronously is arranged at the bottom of the lifting plate; the hydraulic engineering pipeline butt-joint device can achieve tight connection of the butt-joint position of two hydraulic engineering pipelines, meanwhile, the pipelines are convenient to rotate, annular welding of the outer portions of the pipelines is achieved, and welding efficiency is improved.

The invention discloses a multi-energy cooperative power generation prediction method and system based on multivariate data fusion, and relates to the technical field of water conservancy and hydropower engineering, and the method comprises the steps: collecting meteorological, hydrological and load data, executing hour-by-hour alignment and abnormity correction, and building a wind-light-water multi-source data set; according to a low ebb, noon and peak division rule, calculating a time-sharing mean value of each energy source and performing seasonal correction to generate a power generation factor; and executing multi-energy collaborative prediction and scheduling based on the power generation factors, and updating power generation parameters by adopting a rolling verification and credibility mechanism. According to the method, the time sequence consistency and reliability of input data are improved, power generation factors are generated through time-sharing mean value calculation and seasonal correction, dynamic modeling and periodic correction of energy output characteristics are achieved, a dynamic prediction and self-adaptive updating mechanism of wind, light and water complementation is established, and the power generation efficiency is improved. Therefore, the accuracy and the scheduling response capability of multi-energy cooperative power generation prediction based on multivariate data fusion are improved.

The utility model relates to the technical field of water conservancy and hydropower construction, in particular to a supporting frame for water conservancy and hydropower engineering, which comprises a base and side supporting plates arranged on two sides of the base, one ends, far away from the base, of two groups of movable rods are rotatably mounted on one sides of the side supporting plates, and supporting rods are rotatably mounted on one sides, close to the movable rods, of the two groups of side supporting plates; the distance between the two sets of side supporting plates can be adjusted according to the width of the bottom of a foundation pit by arranging the fixed rods, the movable rods and other assemblies on the surface of the base, then the side supporting plates can be rapidly fixed through bolts, and meanwhile the two sets of supporting rods can be driven to move through the driving assembly on the top of the base; the inclination angle of the two sets of side supporting plates can be conveniently adjusted according to the inclination degree of the slope of the foundation pit, operation and use are easier and more convenient, good practicability and flexibility are achieved, and the actual construction efficiency can be further improved.