1205 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 a hydropower station safety comprehensive management system based on a digital twinborn scene, which designs a hydropower station data resource coding system, establishes a hydropower engineering digital twinborn base, integrates all related geospatial data, basic data, monitoring data and business management data of a hydropower station, and constructs the hydropower station digital twinborn scene. Predicting displacement and deformation conditions of a building structure of the hydropower station and a change trend of important facility and equipment state indexes of the hydropower station, and predicting and pre-judging safety risks therein; the reservoir flow of the hydropower station, the upstream and downstream river section water level, the flow change and the power generation output and the power generation capacity of the hydropower station are forecasted or predicted, corresponding plans are provided for flood early warning or meteorological disaster early warning or water level over-limit early warning, and key links of the plans are simulated in combination with a simulation engine; and performing simulation calculation on different power generation and reservoir scheduling strategies to obtain an optimal scheduling scheme. According to the invention, the intelligent management of hydropower station engineering safety, scheduling safety and power generation safety is realized.

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 discloses a BIM-based water conservancy and hydropower engineering construction method and system, relates to the technical field of water conservancy and hydropower engineering, and solves the problem that all stages are difficult to cooperate due to the fact that existing water conservancy and hydropower engineering construction engineering planning is lack of accurate data analysis and simulation prediction. According to the technical scheme, the method comprises the steps that engineering data are collected and processed; building a BIM (Building Information Modeling); simulating and optimizing a construction scheme; construction progress management and control; construction resource management; quality safety management; construction collaboration and communication; delivery of a completion model and preparation of operation and maintenance; according to the method, the detailed three-dimensional model is established based on the BIM technology, accurate data analysis and simulation prediction are performed based on the three-dimensional model, and cooperation of all stages is realized.

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 water conservancy and hydropower project ecological scheduling optimization method, and relates to the technical field of water conservancy and hydropower ecological scheduling, and the method comprises the steps: carrying out the fine ecological region division of a river channel, and dividing the river channel into a plurality of regions with definite ecological functions through combining a plurality of factors. By monitoring the ecological water demand of different ecological regions in the river channel in real time, the actual demand condition of each ecological region is accurately mastered, so that the ecological scheduling scheme is individually formulated according to the characteristics of different ecological regions, the scheduling accuracy is improved, the ecological model comprehensively considers multiple factors such as hydrology, water quality, ecology and meteorology, and the ecological scheduling efficiency is improved. According to the method, the change trend of the ecological water demand of different ecological areas can be predicted, a suitable living environment is provided for various aquatic organisms by accurately meeting the ecological water demand of different ecological areas, protection of rare and endangered species is facilitated, stable development of biocenosis is promoted, and the biodiversity level of a whole river ecosystem is improved.

The invention provides a professional online collaborative editing method and system for hydropower project cost schemes. The professional online collaborative editing method comprises a standard management process, an intelligent collaborative editing process and a release state synchronous updating process. The standard management process comprises the steps of performing automatic analysis and data standardization conversion on an industrial standard file based on a deep learning model, generating a system rule set and storing the system rule set in a database; and based on the system rule set, automatically generating a standardized filling template of each specialty. According to the micro-service architecture-based intelligent online collaborative editing method and system for the hydropower engineering, a natural language processing NLP technology, a deep learning algorithm and a transaction management mechanism are combined, and the system has the functions of real-time grammar and spelling inspection of filled content, intelligent recommendation, semantic understanding, real-time difference detection, multi-user conflict processing and version control; the problems that communication cost is high, version control is difficult, data verification is not strict and multi-user cooperation is not smooth in water-power engineering cost scheme compiling are 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 belongs to the technical field of engineering intelligent quality monitoring and management, and particularly relates to a hydropower engineering civil engineering quality supervision system capable of automatically collecting and monitoring. Comprising an engineering data multi-point automatic acquisition platform, a civil engineering quality automatic monitoring application platform, an engineering quality analysis engine, a design model import module and an engineering quality monitoring data integration analysis platform which are connected in sequence. According to the engineering data multi-point automatic acquisition platform, an acquisition device can be carried by a constructor, and engineering quality information can be automatically scanned and acquired after the constructor enters a specified work area; according to the automatic civil engineering quality monitoring application platform, on the basis that the engineering quality analysis engine provides functions, the monitoring modules are used for analyzing the collected information, and whether the civil engineering of each part meets the corresponding quality management requirement or not is judged; and the result is published to a project quality monitoring data integration analysis platform for integration to form a quality management report.

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 discloses a reservoir capacity curve rechecking method based on satellite altimetry and remote sensing imaging technology, which belongs to the field of water conservancy and hydropower engineering and hydrology and water resource management, and comprises the following steps of: inverting and correcting the water level elevation of a reservoir by adopting altimetry data monitored by satellite remote sensing; recognizing a reservoir water body range based on a remote sensing image, and counting an area sequence; constructing a reservoir capacity calculation model based on the synchronous remote sensing water level and area sequence of the reservoir; remote sensing water level-area and water level-storage capacity curves are fitted, the precision is evaluated, and the process that the same satellite task is adopted to invert the same-period water level and area to reconstruct the storage capacity curve is achieved. By adopting the method, the defect that the water level and the area of the reservoir characteristic curve reconstructed by using satellite remote sensing data in the prior art are not synchronous can be avoided, the defects that the traditional height measurement satellite based on laser or synthetic aperture radar can only obtain the sub-satellite point cloud elevation and the step length is relatively long are overcome, and the precision of the reconstructed characteristic curve can be remarkably improved; the method has remarkable advantages in reconstructing characteristic curves of small reservoirs in remote areas and large ranges.

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 discloses a method for generating a reservoir area river channel cross section by fusing multi-source data and encrypting step by step, and relates to the field of hydropower engineering measurement. The method comprises the steps of obtaining multi-source data of a reservoir area river channel section, and performing fusion processing on the multi-source data to obtain a point cloud set Q; laying section line segments, and determining an initial section data set A according to the laid section line segments; obtaining topographic feature points on the section line segments to form a new section data set B; obtaining a new section data set C; forming a new section data set D; converting the section data set D into a section mileage file; and drawing the mileage file into a cross section diagram, and further generating a reservoir area river channel cross section. According to the method, multi-source data are fused into point cloud data of the whole reservoir bank area, data sources comprise true color airborne laser point cloud data of the shore part, elevation point data collected by an underwater unmanned ship and elevation point data manually collected by a reservoir close to the shore and a shallow water area, and high precision and comprehensiveness of the data sources are guaranteed.

The invention discloses a real-time monitoring management method and system for water conservancy and hydropower engineering, and relates to the field of water conservancy and hydropower. The method comprises the steps that environment data X and effect data Y are collected, and a correlation coefficient matrix between the environment data X and the effect data Y is constructed; constructing an anomaly detection algorithm library, and constructing an evaluation index matrix according to the correlation coefficient matrix and the anomaly detection algorithm library; according to the evaluation index matrix, selecting an optimal anomaly detection algorithm for each type of monitoring data; carrying out abnormal value processing on the collected monitoring data according to an optimal abnormal detection algorithm; grouping the monitoring data subjected to abnormal value processing according to seasons and working conditions, calculating a mean value and a standard deviation of each group of data through statistics in combination with a correlation coefficient matrix, and obtaining a mean value + / -2 sigma as a first-level early warning threshold value and a mean value + / -3 sigma as a second-level early warning threshold value; and performing monitoring management according to the first-level early warning threshold and the second-level early warning threshold. In view of low monitoring precision caused by lack of flexibility in hydraulic engineering threshold setting in the prior art, the monitoring precision is improved.

The invention discloses a hydropower engineering ferromagnetic steel wire rope safety monitoring method and system, and relates to the technical field of safety monitoring. Through a magnetic field signal monitoring and early warning module and an electromagnetic interference source analysis and signal correction module, a magnetic field sensor is used for collecting magnetic field signal related data, and a magnetic field variation coefficient Byx is calculated; comparing and analyzing by combining a magnetic field variation threshold value Q, detecting magnetic field abnormity and sending out an interference early warning instruction; interference signal intensity Cjd is calculated and evaluated, and interference signals are eliminated in combination with a filtering algorithm; correcting a magnetic field signal by calculating a magnetic field attenuation correction factor Tda; the influence of temperature and humidity on the magnetic field signal is corrected by calculating an environment temperature and humidity correction coefficient Fth; and finally, extracting the interference signal intensity Cjd of the steel wire rope, the magnetic induction attenuation coefficient Fda and the environment temperature and humidity coefficient Fth, calculating a safety evaluation index Apzs, evaluating the safety condition of the steel wire rope, generating a performance evaluation report, and providing a reliable basis for operation and maintenance.

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 relates to a hydropower station tail water branch pipe construction drawing automatic drawing method. The method is suitable for the field of water conservancy and hydropower engineering. According to the technical scheme, the method comprises the steps that hydropower station tail water branch pipe design parameters input by a user are obtained; based on the branch pipe project and the contour parameters, the type of the tail water branch pipe is judged, and a contour map of the tail water branch pipe is drawn; drawing a branch pipe excavation support drawing, a structure and grouting arrangement drawing and a steel bar drawing on the basis of the outline drawing in combination with the excavation support parameters, the structure and grouting arrangement parameters and the reinforcement parameters; based on the branch pipe excavation support drawing, the structure and grouting arrangement drawing and the steel bar drawing, the excavation engineering amount, the structure and grouting engineering amount and the steel bar engineering amount are calculated, and an engineering amount table is generated; based on the type of the tail water branch pipe, a corresponding preset drawing frame is selected, the excavation support drawing, the structure and grouting arrangement drawing and the steel bar drawing are added to preset positions in the drawing frame, and a complete hydropower station tail water branch pipe construction drawing is generated.

The invention discloses a hydropower engineering extra-high steep slope online dynamic prevention and control method. The method comprises the steps that S1, data dynamic coupling and abnormity elimination are carried out; s2, carrying out space-time matching on the data; s3, optimizing a displacement early warning value; s4, carrying out safety prevention and control multi-modal analysis; and S5, performing result feedback and closed-loop control. According to the online dynamic prevention and control method for the ultra-high and steep slope in the hydropower engineering, rapid and accurate fusion of multi-source heterogeneous spatio-temporal data can be realized, the false alarm rate of slope early warning is reduced, and online closed-loop analysis of automatic identification of dangerous rock body hidden danger, real-time analysis of rockfall trajectory speed and pre-consolidation range and anchoring differentiation decision of the high and steep slope is realized; and a scientific, accurate and timely decision basis is provided for safety management of the high and steep slope.

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 provides a method for analyzing and determining a preferential desilting section of a bifurcated river, and belongs to the technical field of water conservancy and hydropower engineering. The invention provides a bifurcated river dredging project desilting section optimization method based on two-dimensional hydrodynamic numerical simulation calculation analysis, and the method comprises the steps: carrying out the simulation calculation of the flood discharge, the split ratio, the moisture absorption amount and the like of a desilting port after different desilting section schemes under the same total desilting amount are implemented; according to the method, the correlation among the flood discharge, the split ratio, the moisture absorption amount and the width-depth ratio of the desilting section is established, then the maximum value of the flood discharge, the maximum value of the split ratio and the maximum value of the moisture absorption amount are solved, the optimal width-depth ratio of the desilting section is determined, and therefore the optimal desilting section is determined.

The embodiment of the invention provides a statistical analysis method and system for civil engineering test data of hydroelectric engineering. The method comprises the steps that a compaction parameter and slope stability relation model is constructed according to earthwork filling compactness detection data; carrying out sensitivity analysis on the relation model to screen key compaction parameters influencing the slope stability; determining a regulation and control target interval and a corresponding optimized compaction parameter based on a screening result; and the optimized compaction parameters are applied to earthwork filling construction so as to improve the slope stability. Through the scheme of the embodiment of the invention, the compaction parameters can be regulated and controlled according to the earth-rock filling compactness detection data so as to solve the problem of poor slope stability.

The invention discloses a water conservancy and hydropower engineering monitoring management method and system based on big data analysis, and belongs to the field of engineering monitoring management. The method comprises the following steps: acquiring an environment anomaly analysis result and construction process data to perform construction process risk assessment in the next time period, performing task early warning in the next time period based on the construction process risk assessment result in the next time period, and accurately assessing the environment anomaly in the construction process by predicting and analyzing weather and hydrological data in the next stage. And the risk assessment of the construction process is performed by integrating the situation abnormity of the building main body in the construction process, so that the risk early warning accuracy of the water conservancy task is 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 relates to the technical field of dam termite prevention and control in water conservancy and hydropower engineering, in particular to a dam termite nest positioning method and detection equipment based on intelligent multi-mode fusion, which utilizes technologies such as geological radar, infrared thermal imaging, RTK (Real Time Kinematic) and GPS (Global Positioning System) positioning and is assisted by a machine learning algorithm to carry out data processing. An infrared thermal imaging camera carried by a crawler chassis is used for rapidly scanning the surface of a dam and finding out temperature abnormal points which may be termite activity areas, an underground high-resolution image is further obtained through a carried ground penetrating radar, meanwhile, coordinate information of the areas is collected, a high-precision dam area map is combined, and the termite activity area is obtained. The termite nest position is further accurately confirmed; by means of the method, the accuracy and efficiency of dam termite nest positioning can be remarkably improved, meanwhile, the environmental pollution risk caused by a traditional method is reduced, and the method is beneficial to protection of safe and stable operation of a water conservancy project and makes a contribution to environmental protection.

The invention discloses a power generation optimization method and system combining reservoir dispatching and weather forecast, and relates to the technical field of water conservancy and hydropower engineering, and the method comprises the steps: collecting and recording weather data, and determining the daily accumulated positive temperature according to the weather data; constructing a snow melting model according to historical meteorological data, inputting the daily accumulated positive temperature into the snow melting model, and estimating the daily snow melting amount; and determining the reservoir flow by using the meteorological data and the daily snow melting amount, and making a power generation plan according to the reservoir flow. According to the method, by considering the influence of factors such as temperature change and wind speed on the snow melting process and combining parameters such as soil humidity and accumulated snow coverage, the daily snow melting amount and the storage flow are accurately estimated. The refined prediction enables the reservoir management personnel to predict the water resource condition in the future seven days in advance, thereby making a more reasonable power generation plan.

The invention provides a method and a system for automatically sorting multi-specialty list items of hydropower engineering. The method comprises a first data pulling and sorting process, an increment synchronization and logic deletion process and a historical data tracing process. In the incremental synchronization and logic deletion process, according to an industrial standard template, the newly added and modified data items are synchronized to the latest version of the project scheme by adopting a sorting rule, the deleted data items are logically deleted, and a new version of the project scheme is obtained. According to the method, the problems of data inconsistency, repeated operation and disordered sorting in cooperation of design, construction and cost departments in the hydropower and water conservancy industry are solved. By introducing an intelligent algorithm, large-scale data are efficiently synchronized, the consistency and reliability of the data are maintained, repeated operation of a user is reduced, and flexible data addition, deletion and backtracking are supported. Meanwhile, an optimistic lock and state control are adopted to ensure data integrity, and a micro-service architecture and a cache strategy are combined to optimize user experience so as to meet diversified requirements of complex engineering project management.

The utility model discloses a novel diversion trash rack for a water intake of a hydropower station, relates to the field of water conservancy and hydropower engineering, and aims to reduce hydraulic loss after water flows through the water intake of the hydropower station and is preliminarily filtered. According to the technical scheme, the novel hydropower station water intake flow guide trash rack comprises an annular frame body and a plurality of flow guide plates fixedly installed on the frame body, the plate faces of the flow guide plates are parallel to one another and are perpendicular to the corresponding plane of the frame body, the flow guide plates are in a streamline shape, the outer contours of the flow guide plates on the first section are isosceles trapezoids, and the outer contours of the flow guide plates on the second section are isosceles trapezoids. The first section is parallel to the plate surface of the flow guide plate and passes through the center of the flow guide plate, the sides, corresponding to the upper bottom, of the two waists of the isosceles trapezoid are upstream faces, the side, corresponding to the lower bottom, of the isosceles trapezoid is a downstream face, diagonal planes are arranged between the upstream faces and the two plate surfaces, and chamfers are arranged on the plate surface of the flow guide plate and corner angles between the upstream faces and the diagonal planes respectively. The device is used for being arranged at the water intake of the hydropower station to guide and filter water flow.