9222results about "Hydro energy generation" patented technology

The invention relates to the technical field of pumped storage power station multi-sensor monitoring network time-space synchronous measurement, in particular to a pumped storage power station multi-sensor safety monitoring system, which comprises a sensor data acquisition module, a time-space synchronous network module, a data calibration module, a dynamic association model construction module, a multi-dimensional data fusion module and a graded early warning module. The dynamic correlation model building module simulates dynamic response of seepage pressure and surrounding rock strain through a fluid-structure interaction equation and a discrete element digital twinborn model, updates fracture permeability boundary conditions in real time, and extracts cross-sensor space-time correlation characteristics by adopting a convolutional long-short-term memory network improved by a multi-head attention mechanism. According to the method, the real-time early warning precision of abnormal events and the reliability of structural health assessment in the complex hydraulic and mechanical coupling environment are improved.

The embodiment of the invention provides a tunnel grouting method and device, and a grouting balance prediction system is constructed by combining a machine learning model and a numerical manifold method. By analyzing critical value characteristics of a pressure-volume curve and combining grouting flow and rock mass displacement data, model training is performed, and accurate prediction of the grouting state is realized. The system adopts a Bingham fluid model and a fluid-solid coupling model to calculate optimal grouting parameters, correction is carried out through a zero-thickness cohesion unit model, and automatic regulation and control of a grouting pump are achieved. According to the method, the defects of the traditional technology in parameter optimization and process control are effectively overcome, a scientific basis is provided for grouting construction of tunnel engineering, and the grouting quality and efficiency are remarkably improved.

The invention discloses a water turbine fault classification diagnosis method based on multi-modal fusion and meta-learning. The method comprises the following steps: step 1, respectively extracting time domain features and Mel-language spectrogram features of monitoring noise signals of a water turbine through a feature extraction module; step 2, performing cross-modal attention mechanism fusion on the time domain features and the voiceprint features through a multi-modal fusion module, and adjusting a fusion weight based on a dynamic weight distribution mechanism; and step 3, performing small sample training optimization on the fused features through a meta-learning module, and improving the classification capability of the model for new fault types in combination with a Triplet Loss-KNN algorithm and twin network pre-training. The fault diagnosis method based on the time domain-voiceprint fusion network and meta learning has the advantages of being rapid in diagnosis, accurate in classification, high in generalization ability and the like, and the fault diagnosis precision of the water turbine based on noise signals can be effectively improved.

The invention provides a water turbine anomaly detection and fault diagnosis method based on multi-sensor data fusion, and the method comprises the steps: collecting stress data, audio signals, vibration signals and working condition data during the operation of a water turbine, and carrying out the preprocessing of the collected data, including data cleaning, alignment and normalization; extracting time-domain, frequency-domain and time-frequency-domain features of the preprocessed stress data, audio signals and vibration signals, forming a high-dimensional feature vector in combination with the preprocessed working condition data, and performing dimensionality reduction on the high-dimensional feature vector by using principal component analysis; performing anomaly detection on the dimensionality-reduced high-dimensional feature vector according to a clustering algorithm, a local outlier factor algorithm and an anomaly detection algorithm constructed by an auto-encoder neural network, and generating a comprehensive anomaly score in combination with a preset weight to obtain an anomaly detection result; and when the water turbine is in an abnormal state, the fault type is diagnosed through the similarity between the dimensionality-reduced high-dimensional feature vector and the historical fault feature template.

The invention provides an intelligent speed regulation control method and system for hydroelectric generating set multi-source data fusion, and relates to the technical field of hydropower station automation control, and the method comprises the steps: S1, collecting multi-source heterogeneous data, including mechanical quantity, hydraulic parameters and electrical quantity, in the operation process of a hydroelectric generating set; s2, performing standardized preprocessing on the multi-source heterogeneous data to obtain preprocessed data; s3, on the basis of the preprocessed data, global deep state feature information and operation trend prediction information of the hydroelectric generating set are extracted through a multi-layer data fusion algorithm, and a fused speed regulation decision basis is obtained; s4, generating a speed regulation control instruction for regulating the rotating speed of the hydroelectric generating set based on the fused speed regulation decision basis; and S5, performing speed regulation control on the hydroelectric generating set according to the speed regulation control instruction. Through multi-layer data fusion and a dynamic self-adaptive control strategy, comprehensive perception and accurate regulation and control of the operation state of the hydroelectric generating set are realized.

Perform MJS cavity filling reinforcement on the soil under the existing station floor, set the necessary cutter head using the hobcutter data obtained from the analysis, and set the tunneling parameters of the shield machine for cutting in the ground according to the tunneling parameters of the shield machine for cutting in the air. In addition to synchronous grouting injection and secondary grouting injection, perform the construction of secondary grouting injection when cutting the diaphragm wall, observe the vertical displacement of the ballast bed of the station, the vertical and horizontal displacements of the side wall of the station, and the vertical displacement of the tunnel vault, and adjust the push speed and silo pressure in real time. Perform the construction of secondary grouting injection on the segments within the range of 10 rings from the door of the receiving shaft of the newly built station. After the shield machine has passed through, perform injection from the grouting holes of the porous segments. 【Effect】It can save human resources and ensure the safety of the structure of the existing upper station.

The invention belongs to the technical field of automatic assembly, and discloses an automatic assembly system and method for a large nut of a water turbine ball valve, and the system comprises a mechanical arm, an end effector and an intelligent nut tightening control system. The end effector integrates an electromagnet adsorption mechanism, a servo drive rotating mechanism, a floating compensation mechanism and a visual recognition mechanism, nuts of different specifications are grabbed in a self-adaptive mode through an electromagnet, submillimeter-level accurate positioning is achieved through a laser galvanometer stereo camera, and the assembling posture is automatically adjusted in combination with the floating compensation mechanism. The intelligent control system adopts a staged tightening strategy, performs real-time monitoring through a torque sensor, and has a dual protection mechanism. The hydraulic turbine ball valve large nut assembling machine achieves full-automatic assembling of hydraulic turbine ball valve large nuts, has the advantages of being high in assembling efficiency, high in positioning precision, high in adaptability, reliable in quality and the like, solves the problems that manual assembling is large in labor intensity, many in potential safety hazards, poor in quality consistency and the like, and remarkably improves the assembling quality and efficiency of key parts of a hydropower station.

The invention relates to the technical field of pumped storage power stations, in particular to a pumped storage power station unit runner crack diagnosis and life evaluation method, which comprises the following steps: S1, accurately positioning a runner crack detection position; s2, accurately analyzing the shape and size of the runner crack; and S3, analyzing the performance microstructure of the runner material. According to the method, the crack condition, the material characteristics and the stress distribution under the actual working condition of the runner can be comprehensively and accurately evaluated by detecting the runner crack, analyzing the shape and the size of the crack, analyzing the microstructure of the material performance and finally simulating and analyzing the stress distribution of the working load of the runner; the method provides a solid data basis and theoretical basis for a crack propagation mechanism, life cycle prediction and runner life evaluation, can effectively realize multi-dimensional and multi-technical-means fusion, ensures the precision of crack detection and analysis, and can provide omnibearing data support for subsequent crack propagation prediction and life evaluation.

The invention provides a dam on-line safety monitoring and early warning system based on a pumped storage power station, and belongs to the technical field of safety monitoring, and the system comprises a data acquisition module which collects original data of a dam operation state in real time, and determines monitoring data after preliminary calibration; the data analysis module is used for carrying out real-time feature extraction on the preliminarily calibrated monitoring data, determining pre-processed data, fusing the pre-processed data with the image data of the dam to determine fused data and carrying out analysis so as to determine the safety coefficient of the dam; the state evaluation module is used for acquiring the real-time operation condition and historical data of the dam, generating a dynamic safety evaluation standard, determining the current safety state of the dam and generating early warning information; and the scheme determination module is used for determining abnormal parts of the dam based on the preliminarily calibrated monitoring data and the image data of the dam and further generating an early warning scheme in combination with the early warning information. The safety monitoring capability and the early warning efficiency of the dam are improved, and potential safety hazards are reduced.

The invention discloses an outgoing line shaft slip-form lining construction method, which belongs to the field of building construction, and comprises the following steps: construction preparation, completion of survey lofting of a shaft construction area, power supply, arrangement of a water supply and communication system, and slip-form manufacturing, installation and debugging. A lifting frame, a supporting frame, a vertical back ridge, a hydraulic jack, a supporting rod, a material distribution platform, a central rotary material distribution mechanism and a chute device are sequentially installed, and debugging and sliding and lifting testing of a hydraulic system are completed; slip form sliding and lifting and concrete pouring are conducted, construction is conducted in the three stages of initial sliding, normal sliding and lifting and sliding and lifting completion, and the concrete quality is ensured through layered pouring and accurate vibration; the construction precision of the slip form is controlled, deviation is monitored in real time through a laser swinger, a limiting and leveling device and a vertical monitoring system, and deviation correction measures are taken when the deviation exceeds 1.5 cm; and the sliding formwork is dismantled, specifically, the formwork is dismantled step by step after sliding formwork construction is completed. By optimizing the construction process and accurately controlling the technology, the construction efficiency and the concrete quality are remarkably improved.

The invention discloses a portal type integrated operation workstation capable of adapting to different underground cavern sections. The portal type integrated operation workstation comprises a frame supporting system, an intelligent control room, a moving walking system, an electrical system and a functional arm system. The frame supporting system comprises first longitudinal beams which are arranged in a left-right spaced mode, and a plurality of transverse telescopic joints are installed between the left first longitudinal beam and the right first longitudinal beam. A plurality of longitudinal shrinkage joints are mounted at the lower end of each first longitudinal beam, the lower ends of the longitudinal shrinkage joints are connected with a high-strength supporting frame, and a movable walking system is mounted at the bottom of the high-strength supporting frame; the functional arm system comprises a concrete spraying-arch mounting arm, an anchor rod mounting arm and a drilling arm which are arranged in a layered mode from top to bottom. According to the portal type integrated operation workstation capable of adapting to different underground cavern sections, the functions of drilling, anchor rod construction, grouting, net hanging, arch frame installation, spraying and mixing and the like are integrated, and meanwhile the size of equipment can be freely adjusted so that the portal type integrated operation workstation can adapt to the extra-large sections of different sizes.

The invention discloses a water turbine operation state monitoring method based on digital twinning, which comprises the following steps: collecting vibration and pressure signals of limited measuring points of a water turbine in real time to form observation data; establishing a physical constraint Fourier operator network based on the observation data, and obtaining an operation state prediction result; performing data assimilation processing on a prediction result by using the observation data as a constraint condition through an iteration set Kalman smoother; the Fourier operator network is corrected through feedback of an optimization estimation result; and reconstructing vibration and pressure states of unmeasurable positions of the water turbine, realizing state field reconstruction, and judging abnormal positions and types. Accurate monitoring and real-time abnormity early warning of the running state of the water turbine can be achieved, and the monitoring accuracy and stability are improved.

The invention belongs to the technical field of hydroelectric generating set monitoring, and relates to a water turbine bearing temperature and lubricating oil state monitoring and fault diagnosis method and system. According to the method, triple-redundancy temperature measurement values of a water turbine bearing are adopted, multiple parameters are fused, redundancy design is adopted, sensor failure diagnosis is executed, a temperature-vibration-oil pressure combined feature space is constructed according to the triple-redundancy temperature measurement values and online oil quality parameters, a fault propagation map is established, and the fault propagation map is analyzed. And finally, based on the multi-level diagnosis model and in combination with the fault propagation atlas, composite fault mode recognition is realized, a fault classification result is obtained, and the composite fault mode recognition is realized based on the multi-level diagnosis model, so that the problems of low reliability, single monitoring dimension and insufficient fault recognition capability of a sensor in the prior art are effectively solved. And the equipment reliability and the operation safety are obviously improved.

The invention discloses a multifunctional all-in-one unit which comprises a rack, a tunneling part, a vertical arch part, an arch spraying part and a rock drilling part. A slag discharging channel is formed in the lower portion or at least one side of the rack. The tunneling part is arranged at the front end of the rack and used for tunneling excavation. The arching part is arranged on at least one side of the rack in a sliding mode and used for being matched with the arching part to conduct arching operation, the arching part and the rock drilling part are arranged on the rack in a sliding mode, the arching part is used for guniting operation and being matched with the arching part to conduct arching operation, and the rock drilling part is used for drilling operation; according to the scheme, the integrated trolley is integrated with multiple functions of excavation, erection, bolt anchoring, guniting, pumping and the like, a slagging-off machine and a slag car are arranged for deslagging, full-process construction of the tunnel face is completed, parallel processes or seamless connection of the processes is achieved, the traditional technological method that all the processes are independent and not parallel and work in a multi-machine cooperation mode is changed, the construction progress is greatly accelerated, and the construction efficiency is improved. And more values are created for customers.

The invention relates to the field of hydroelectric generation automation control, discloses an intelligent flow-pressure double closed-loop control method and system for a water inlet ball valve of a water turbine, and aims to solve the technical problems that flow stability and pressure fluctuation suppression are difficult to consider, dynamic response is delayed and working condition adaptability is poor in existing single-loop control. The method comprises the steps that inlet pressure and flow data are collected in real time through a pressure sensor and an ultrasonic flowmeter, a cascade structure of outer ring flow control and inner ring pressure control is constructed in combination with working condition parameters such as the rotating speed of a unit and the opening degree of a guide vane, and a working condition self-adaptive weight distribution module is introduced to dynamically adjust the double-ring gain coefficient; meanwhile, a feed-forward compensation mechanism and an optimal efficiency curve database are fused, and dynamic matching of set values and advanced response of load instructions are achieved. The system comprises a data acquisition unit, a double-closed-loop control unit, a weight distribution unit, an electro-hydraulic servo execution mechanism and a safety interlocking module, and supports microsecond-level gain updating and high-precision valve position control. According to the technical scheme, the adjusting precision and the response speed of the water turbine under the complex working condition are remarkably improved, the actual measurement efficiency is improved by 2.5%-4.8%, the adjusting time is shortened to be within 3 seconds, the positioning precision reaches + / -0.5 degree, and safe and stable operation of the system is guaranteed.

The invention belongs to the technical field of gate shaft construction, and particularly relates to a one-time forming pouring system and a one-time forming pouring method. The gate groove formwork and the vertical shaft sliding formwork assembly in the one-time forming pouring system can move in the depth direction of the gate shaft and jointly define a pouring ring, and when the strength of hydraulic concrete structures corresponding to the vertical shaft sliding formwork assembly and the gate groove formwork reaches the demolding strength, the gate groove formwork and the vertical shaft sliding formwork assembly are separated. The positions of the vertical shaft sliding formwork assembly and the gate groove formwork can be adjusted through the lifting device and the hoisting device, so that the pouring space rises in the depth direction of the gate shaft, continuous pouring of the hydraulic concrete structure is met, pouring of the hydraulic concrete structure does not need to be conducted step by step, joints are avoided, and the construction efficiency is improved. The integrity and shear strength of the hydraulic concrete structure are improved, so that the construction quality of the hydraulic concrete structure in the gate shaft is ensured, and meanwhile, the construction difficulty is reduced.

The invention relates to a hydroelectric generating set mirror plate fault judgment method based on analytic hierarchy process and fuzzy membership, which comprises the following steps: selecting symptom indexes reflecting faults, and systematically analyzing and constructing a hierarchical structure model in a fault type-symptom index association form by using the analytic hierarchy process; a triangular-semi-trapezoidal membership function is used as a basis, a membership function is constructed according to a fault condition level, a symptom index membership matrix is calculated according to a deviation degree between a symptom index real-time value and a health reference value, a fault type fuzzy judgment matrix is further obtained, and a fault type fuzzy judgment matrix is obtained according to a maximum membership principle. And obtaining a diagnosis result whether the hydroelectric generating set has a mirror plate levelness standard exceeding fault. According to the invention, through systematic analysis, objective weight distribution, dynamic reference comparison and a fuzzy determination method, the accuracy of fault determination is significantly improved.

The invention discloses an optimization method and device for hydraulic power and structure coordination of a runner of an anti-abrasion mixed-flow water turbine, and relates to the field of hydroelectric generation, and the optimization method for hydraulic power and structure coordination of the runner of the anti-abrasion mixed-flow water turbine comprises the steps that the abrasion position of the runner is determined according to operation parameters of the runner within preset time; carrying out wear resistance optimization on the wear position, and determining whether the wear resistance of the optimized wear position meets a first preset standard or not; under the condition that it is determined that the wear resistance meets the first preset standard, finite element analysis is conducted on the rotating wheel to determine whether the structural performance of the rotating wheel meets a second preset standard or not; and when it is determined that the structural performance of the rotating wheel does not meet the second preset standard, structural performance optimization is performed on the hardware structure of the rotating wheel. By the adoption of the technical scheme, the problem that when a traditional water turbine works in a high-sediment-content river, the rotating wheel is prone to abrasion due to sediment, and therefore the service life of the water turbine is affected is solved.

The invention provides a self-adaptive algorithm and system for improving frequency measurement precision and response speed of a speed regulator. The method comprises the following steps: Step 1, signal acquisition and preprocessing; step 2, dynamically adjusting filtering parameters, and suppressing power grid signal noise; 3, extracting frequency characteristics in real time, and improving the frequency measurement resolution; 4, a synchronous clock is adopted as a reference frequency source, a clock reference value is periodically and automatically corrected, and long-term drift is eliminated; 5, a nonlinear dynamic model of the hydroelectric generating set is constructed, the nonlinear relation between the valve opening degree and output of the speed regulator is compensated in real time, and the frequency modulation precision is improved; and step 6, outputting the instantaneous frequency. According to the scheme, through the self-adaptive frequency measurement algorithm, high-precision clock calibration, a hardware acceleration mechanism and a nonlinear compensation strategy, a multi-dimensional optimization system is constructed, high-precision frequency measurement is carried out, a rapid effect can be achieved, and a hydroelectric system has long-term stability and high adaptability.

The invention belongs to the technical field of hydropower station monitoring and early warning, and particularly relates to a hydropower station intelligent inspection and fault early warning linkage method, which comprises the following steps: arranging a redundant sensor network at key equipment parts, synchronously acquiring pressure, flow, vibration and water turbidity data, establishing a flow-pressure loss reference relationship, and calculating real-time pressure-flow ratio deviation; performing spectral analysis on the vibration signals, extracting characteristic frequency band energy, performing collaborative study and judgment in combination with a turbidity change trend, and ensuring data credibility through data cross validation of main and auxiliary sensors; performing time sequence difference operation on the pressure-flow ratio deviation to obtain a change rate, fusing vibration-turbidity abnormal performance, and comprehensively diagnosing water diversion blockage or foreign matter invasion; early warning levels are divided according to the deviation and the change rate, corresponding response measures are triggered, response actions are executed according to a preset risk priority sequence, and linkage control of the whole process from state sensing, anomaly recognition, fault diagnosis to intelligent response is achieved.

A gate linkage control method and device and a parallel water supply and power generation system are provided. The method comprises the following steps of: acquiring current gate opening degree information of the parallel water supply and power generation system and a current water level of a third trunk canal, the current gate opening degree information comprising current first gate opening degree information and current second gate opening degree information; determining a target gate linkage control strategy of the parallel water supply and power generation system according to the current gate opening degree information of the parallel water supply and power generation system and the current water level of the third trunk canal; and controlling a gate opening degree of a target gate according to the target gate linkage control strategy of the parallel water supply and power generation system.

A hydroelectric generating set AGC and primary frequency control adjustment collaborative control method, comprising: introducing a governor primary frequency control action guide vane control deviation YPFC into a monitoring system of a hydroelectric generating set, incorporating the corresponding relationship between active power and guide vane opening under different working heads of the hydroelectric generating set into an AGC power control algorithm, performing AGC to track real-time the working head of the set and performing power-guide vane opening conversion and guide vane opening-power conversion on the basis of the working head of the hydroelectric generating set. The function of hydroelectric generating set AGC and primary frequency control in stabilizing the system load frequency can be fully but not excessively exerted. By means of the method, the function of AGC and primary frequency control in ensuring safe and stable operation of the system can be fully exerted, and faster adjustment of the unit can be achieved, thereby reducing guide vane servomotor fluctuation and active power frequency fluctuation during AGC and primary frequency control, reducing the operational intensity of control machinery of the set and the consumption of governor operating oil pressure, significantly reducing the maintenance costs, and reducing the risk of active power frequency oscillation in the system.

The invention provides a layered freezing and layered excavation method for butt joint of large-diameter shield tunnels, and relates to the technical field of shield tunnel engineering.During butt joint of the large-diameter shield tunnels, the butt joint faces are layered in sequence from top to bottom, and the procedures of coring and drilling, freezing pipe driving, positive freezing, cutterhead disassembling and excavation are conducted on each layer; after the coring and drilling of the upper layer are finished, the coring and drilling of the next layer are immediately started, and the butt joint surfaces are sequentially layered from top to bottom through the layered budget model, so that the working procedures of coring and drilling, freezing pipe driving and positive freezing of the next layer are simultaneously completed before all the working procedures of the upper layer are completed; the time for coring, drilling, freezing pipe driving and equipment mounting and debugging of other layers except the top layer is saved, the construction period for taking more time for drilling and freezing pipe driving on the shield tunneling machine is saved, and therefore the whole construction period is shortened.

The invention provides a shield / TBM (Tunnel Boring Machine) starting counter-force device in a subsurface tunnel primary support structure, which comprises a starting frame arranged in a tunnel body along the length direction of the tunnel body; the counter-force rings are arranged on the starting frame in an end-to-end connection mode, and the axes of the counter-force rings are parallel to the axis of the tunnel body; the supporting unit comprises a plurality of groups of positive supporting arms and inclined supporting arms which are arrayed on the circumferential side of the counter-force ring at the tail position, the extension line of each positive supporting arm in the length direction is perpendicular to the axis of the counter-force ring, and the extension line of each inclined supporting arm in the length direction forms an included angle of 45-75 degrees with the axis of the counter-force ring; a bracket seat is arranged at one end, far away from the counter-force ring, of each inclined supporting arm; and the multiple sets of pre-embedded steel plates are evenly distributed on the inner wall of the tunnel body, and the multiple sets of positive supporting arms and the multiple sets of bracket bases are connected with the corresponding pre-embedded steel plates correspondingly. The counterforce ring is connected with the underground excavation primary support, and shield launching can be completed under the condition that no station or underground excavation civil air defense tunnel main body structure exists.

Embodiments of the present application provide a water turbine speed regulation management method and system. The method comprises: acquiring physical entity data of a current storage power station, and preprocessing the physical entity data of the storage power station to obtain water turbine speed regulation physical entity data; acquiring a corresponding water turbine speed regulation historical data set on the basis of the water turbine speed regulation physical entity data, and preprocessing the historical data set to obtain preprocessed water turbine speed regulation physical entity data; comparing the preprocessed water turbine speed regulation physical entity data with preset data to obtain a deviation rate; determining whether the deviation rate is greater than or equal to a preset deviation rate threshold; if the deviation rate is greater than or equal to the preset deviation rate threshold, generating correction information, and correcting the water turbine speed regulation physical entity data on the basis of the correction information; and if the deviation rate is less than the preset deviation rate threshold, establishing a three-dimensional dynamic model by means of the preprocessed water turbine speed regulation physical entity data, and dynamically regulating the speed of a water turbine on the basis of the three-dimensional dynamic model. The accuracy of a water turbine speed regulation process is improved.

The invention discloses a hydropower station ecological flow discharge system and discharge method, the system is applied to a pressure steel pipe diversion type hydropower station, the system comprises a bypass pipe, the inlet end of the bypass pipe is connected with a pressure steel pipe, and the bypass pipe is used for draining water flow in the pressure steel pipe; the water measuring weir is connected with the outlet end of the bypass pipe, and the water measuring weir is used for discharging ecological flow; the monitoring module is arranged on the measuring weir, and the monitoring module is used for monitoring the water level data of the measuring weir; the control valve is arranged on the bypass pipe, and the control valve is used for adjusting the water flow of the bypass pipe according to the analysis result of the water level data so as to control the flow discharge amount of the measuring weir. According to the embodiment of the invention, the ecological flow discharge of the pressure steel pipe diversion type hydropower station can be realized, and the stability and ecological benefits of the ecological flow discharge are improved. The method can be widely applied to the technical field of water conservancy and hydropower.

This invention discloses a stainless steel welding wire for repair welding of martensitic stainless steel turbine runners, its preparation method, and its application, belonging to the field of metal welding material preparation technology. The chemical composition of the welding wire provided by this invention, expressed as a percentage by weight, is: C≤0.03%, Si: 0%~0.6%, Mn: 5.0%~8.0%, S≤0.010%, P≤0.020%, Cr: 12.5%~15.5%, Ni: 5.0%~7.0%, Mo: 1.0%~2.0%, with the balance being Fe and impurities. The welding wire provided by this invention is suitable for repair welding of Cr13Ni4~6 type martensitic stainless steel, and post-weld heat treatment is not required. The weld metal produced by this welding wire exhibits good strength, plasticity, and toughness, with a tensile strength ≥750MPa, elongation after fracture ≥35%, and impact absorption energy at -40℃ ≥120J.

The invention discloses a pumped storage unit fault diagnosis method based on multi-modal data fusion, and the method comprises the steps: collecting a voiceprint signal, an infrared thermal imaging image and historical operation data of a pumped storage unit, and carrying out the noise reduction of a voiceprint set through employing an improved unscented Kalman filtering algorithm, a COMRes + model is used to train the voiceprint signal after noise reduction and historical operation data, a future voiceprint signal is predicted, an improved Deeplabv3 + model is used to train an image set, and features of an infrared thermal imaging image are extracted; the voiceprint feature, the historical operation data text feature and the image feature are input into an improved CentraNet model for multi-modal data fusion, and a fault category is output through a classification recognition module, so that diagnosis of the pumped storage unit fault is completed; according to the method, through fusion of the multi-modal data and optimization of the deep learning model, the accuracy and efficiency of fault diagnosis can be effectively improved, and a powerful guarantee is provided for safe operation of the pumped storage unit.

The invention relates to the technical field, in particular to a method for determining advance grouting reinforcement parameters of a tunnel fault fracture zone. The grouting pressure, the rate, the water cement ratio, the diffusion radius, the gelation time and the grouting amount per unit length are comprehensively covered through parameter grid structure division, the consistency of numerical values of all nodes is guaranteed through rock core strength and anchor rod tension data checking, and a combination with the error exceeding a threshold value generates a new solution through variation and crossover operation in a differential evolution algorithm. The global search capability is improved, combinations which do not conform to conditions are quickly eliminated, the global search capability can be enhanced, a low-quality solution can be quickly replaced, pheromone concentration is directly generated based on combination fitness, the path selection probability is calculated according to a fitness ratio, and a high-quality path is adaptively enhanced by utilizing an ant colony algorithm. The convergence speed is improved, the risk of falling into local optimum is reduced, iteration strengthening and dynamic search direction adjustment of a high-quality solution are achieved, and the convergence speed and result stability of the optimal solution are improved.

The invention particularly discloses a visual monitoring system and an analysis method for the abrasion state of an impulse turbine set, and relates to the technical field of hydroelectric power generation equipment monitoring. The device comprises a visual monitoring module, a control module and an abrasion analysis early warning module, the visual monitoring module collects images through an industrial camera, an LED light source, a packaging protection structure and a water and mist removing device. The control module formulates an imaging mechanism according to working conditions such as strong water mist interference, idling no water, static no water and the like, and is linked with a unit PLC control system to realize imaging triggering, state adjustment and data interaction; and the abrasion analysis and early warning module identifies an abrasion area through a U-Net + + algorithm, calculates abrasion parameters based on a multi-view vision technology, grades the abrasion parameters, predicts a trend by adopting an ARIMA model, and recommends a maintenance scheme through rule reasoning in combination with threshold early warning. Automatic and intelligent monitoring and analysis of the abrasion state of the impact type unit are achieved, and guarantee is provided for safe and efficient operation of the unit.