853 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 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 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 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 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 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 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 provides a stress adjusting method and system of a steel branch pipe structure and electronic equipment, and relates to the technical field of pipeline safety monitoring of water conservancy and hydropower engineering. The stress adjusting method of the steel bifurcated pipe structure comprises the steps that radial strain data of a main pipe body, gap data between the steel bifurcated pipe structure and surrounding rock and internal water pressure data of the main pipe body are obtained; determining stress data of the main pipe body according to the internal water pressure data and the gap data; and controlling the dynamic compensation layer to generate phase change according to the radial strain data and the stress data so as to enhance the constraint of the dynamic compensation layer on the pressure bearing layer. The stress rigidity of the steel bifurcated pipe structure is improved, and then the adaptability of the steel bifurcated pipe structure to stress from real-time changes is improved.

The invention relates to the field of hydropower engineering, and provides a water inflow prediction method for an underground powerhouse of a pumped storage power station in order to ensure the accuracy of a prediction result while realizing the usability of the prediction method. And a final water inflow prediction range is obtained according to the calculated three water inflow. The provided three water inflow calculation modes are easy to realize, and the calculation results of the three modes are integrated to obtain the final water inflow range, so that the accuracy of the prediction result is improved.

The invention discloses a reservoir bank slope unmanned aerial vehicle intelligent inspection mode and a monitoring method, and relates to the technical field of water conservancy and hydropower engineering reservoir bank slope safety monitoring. According to the invention, four inspection modes (annual large-range inspection, conventional key area inspection, special situation inspection and emergency situation inspection) based on the unmanned aerial vehicle are provided, and the full life cycle demand of reservoir bank slope monitoring is covered; through combination of different inspection modes, monitoring requirements in different scenes can be flexibly met, annual large-scale overall monitoring is ensured, high-frequency and high-precision monitoring can be performed on key areas, and meanwhile, quick response can be performed under special conditions and emergency conditions.

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 utility model is applicable to the technical field of sampling equipment, and provides a water conservancy and hydropower engineering construction foundation rock soil sampling device which comprises a base, a fixed seat is fixedly connected to the base, a bearing plate is rotatably connected to the fixed seat, a hydraulic telescopic rod is arranged between the bearing plate and the base in a matched mode, and the hydraulic telescopic rod is connected with the base. The two ends of the hydraulic telescopic rod are hinged to the base and the bearing plate respectively, a lifting device is fixedly arranged on the side face of the bearing plate, a second motor is fixedly arranged on the lifting device, the driving end of the second motor is fixedly connected with a connecting pipe, the lower end of the connecting pipe is connected with a sampling pipe in a matched mode, and the lower end of the sampling pipe penetrates through the base. A plurality of clamping holes are formed in the sampling pipe and the connecting pipe, a connecting assembly is arranged in the connecting pipe in a matched mode, the connecting pipe and the sampling pipe are fixedly connected in a mode that the connecting assembly is matched with the clamping holes, and a clamping assembly is arranged on the bearing plate in a matched mode. The device has the advantages of low labor intensity and high working efficiency.

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 cascade hydropower station load optimization distribution strategy automatic making and pushing method, and belongs to the technical field of water conservancy and hydropower engineering information automation. Comprising the following steps: S1, establishing a comprehensive database for model calling calculation; s2, establishing an intelligent simulation model, adjusting input and constraint conditions according to data of a database number, and selecting a proper optimization target according to different scene requirements; s3, the intelligent simulation model outputs a long-term scheduling scheme, a medium-term scheduling scheme and a short-term scheduling scheme; and S4, establishing a unit combination and output distribution model, outputting an optimized unit combination and output distribution strategy after inputting a unit state constraint condition, and issuing or adjusting a corresponding plan by a power grid mechanism side person. The technical problems that a traditional cascade hydropower station load distribution strategy cannot meet the requirement of a user for automatic making and implementation of a cascade hydropower station load optimization distribution strategy, and automatic pushing cannot be achieved are solved.

The invention relates to the field of slope prevention and control of water conservancy and hydropower engineering, in particular to a method for treating abnormal deformation of an upper-hard and lower-soft extra-high steep transverse slope during a construction period, which comprises the following steps of: constructing a three-dimensional geologic model based on multi-source data, and calibrating mechanical parameters of a rock mass and a structural surface in a manner of combining inversion analysis and field monitoring data; the synergistic effect of different supporting measures is quantified through numerical simulation, and a system treatment scheme is formed. Specific treatment is carried out according to the special failure mechanism of the composite structure with the hard upper portion and the soft lower portion, the progressive extrusion deformation characteristics of the lower soft rock are accurately recognized, the treatment strategy of deep anchoring, soft rock reinforcement and form regulation and control is adopted, anchor cables are adopted for deep reinforcement, consolidation grouting is applied for improving the mechanical property of the soft rock, and form control measures of slope ratio optimization are matched, so that the composite structure is obtained. And a multi-dimensional deformation suppression system is formed. The technical problems that in the existing abnormal deformation treatment process, supporting measures are not appropriate, a supporting scheme is lack of systematicness, and the treatment effect is poor can be solved.

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 relates to the technical field of data processing, in particular to a water conservancy and hydropower engineering data management method based on BIM information processing, and the method comprises the steps: obtaining water pressure time sequence data of a plurality of positions of a dam and horizontal displacement time sequence data and vertical displacement time sequence data of the dam, segmenting the time sequence data to obtain a plurality of water pressure time sequence segments; the method comprises the steps of obtaining unstable time sequence segments in water pressure time sequence segments according to a plurality of water pressure time sequence segments, a plurality of horizontal displacement time sequence segments and a plurality of vertical displacement time sequence segments, obtaining non-noise credibility of each unstable time sequence segment according to correlation conditions of the unstable time sequence segments and the associated horizontal displacement time sequence segments and vertical displacement time sequence segments, and obtaining the non-noise credibility of each unstable time sequence segment according to the non-noise credibility of each unstable time sequence segment. And the final noise influence degree of each unstable time sequence segment is obtained based on the relationship between the non-noise credibility of each unstable time sequence segment, so that the target smoothing coefficient of each unstable time sequence segment is obtained, and the accuracy of the obtained target smoothing coefficient is relatively high.