1598 results about "Water turbine" patented technology

The invention discloses a low sample hydro-generator fault diagnosis method based on transfer learning. The method comprises the following steps: collecting a current signal, a vibration signal, a temperature signal and a voiceprint signal; executing preprocessing; performing label labeling, and dividing the data into a source domain data set and a target domain data set; operating parameters of the hydro-generator are collected, processed and combined into working condition feature vectors; training a source domain base model on the source domain data set to generate a pre-training parameter set; establishing a physical constraint module, and binding the physical constraint module with the parameter updating process of the source domain base model; initializing a transfer learning model, and calling a physical constraint module to apply constraint to generate a physically constrained transfer learning model; performing increment fine adjustment; and outputting a diagnosis result vector through the transfer learning model after increment fine tuning. According to the method, transfer learning and physical constraints are combined, hydro-generator fault diagnosis is optimized through increment fine tuning, and the method has the advantages of high precision, small sample adaptability and physical consistency verification.

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 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 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.

The invention discloses a device and method for measuring the abrasion amount of a spray needle of an impulse turbine, and the device comprises a fixed platform which is used for placing the spray needle to be measured, and the spray needle to be measured is provided with a plurality of points to be measured; the inner and outer slide rails are arranged at the top of the fixed platform, are positioned on the outer side of the to-be-measured spray needle and axially coincide with the to-be-measured spray needle; the rotating platform is in sliding connection with the inner and outer sliding rails and can rotate around the to-be-measured spray needle; the telescopic platform is arranged at the top of the rotating platform, and the end, away from the rotating platform, of the telescopic platform is connected with an inclined platform; the distance measuring probe system is detachably connected to the inclined platform, and the measuring end of the distance measuring probe system faces the to-be-measured spray needle; the measuring device is combined with a multi-degree-of-freedom adjusting mechanism to realize accurate positioning and vertical alignment of the probe, then the probe system is used for reading the displacement and deducting the thickness of the sleeve to obtain the real abrasion depth, non-destructive high-precision abrasion amount detection of any point of a complex curved surface can be realized, and the measuring device is suitable for a hydropower station overhaul site.

The invention discloses a hydroelectric equipment anomaly detection method based on physical mechanism guidance and sequential topological entropy fluctuation characteristics, and belongs to the technical field of hydroelectric equipment monitoring and fault diagnosis. The method comprises the steps that multi-source sensor data of hydroelectric equipment is collected and preprocessed; constructing a physical weighted distance function in combination with an equipment physical mechanism, and embedding time sequence data into a high-dimensional point cloud space; extracting persistent homology features through a sliding window, generating a persistent graph sequence and calculating topological feature indexes; a persistence graph entropy fluctuation index is provided, and anomaly detection is realized by quantifying time sequence fluctuation of topological entropy; and finally, visual output and an alarm mechanism are combined to assist diagnosis. According to the method, equipment physical characteristics and topological data analysis are fused, the problems that a traditional method is insufficient in nonlinear system modeling, insensitive to dynamic evolution and the like are solved, the early warning capacity and detection precision of early faults are improved, and the method is suitable for anomaly detection application of core equipment such as a water turbine and a generator.

The invention discloses a hydro-generator excitation loss fault diagnosis method and device, and belongs to the technical field of power system relay protection, and the method comprises the following steps: collecting the phase current and line voltage of a hydro-generator terminal; the collected current and voltage data are stored in a register in sequence, and after the register is full, the last data is deleted when a new group of data is stored; calculating an instantaneous power integral according to m groups of current and voltage data in the register and solving a discrete form of the instantaneous power integral; normalizing the obtained instantaneous power integral to obtain an initial field loss fault index; eliminating average fluctuation of the initial field loss fault index to obtain a final field loss fault index; and judging the field loss fault by combining whether the final field loss fault index is smaller than a threshold value or not and a low-voltage criterion, and locking the field loss fault criterion by using a direct-current component criterion and a negative-sequence voltage criterion to avoid an external fault. The method does not depend on the operation state of the generator too much, has high sensitivity, and reduces the maloperation risk.

The invention provides a water turbine guide vane spraying control method and system based on a neural network model, and relates to the technical field of water turbine guide vane coating spraying, and the method comprises the steps: obtaining historical operation state data when a water turbine guide vane works; initial spraying thickness information is determined based on historical operation state data when the water turbine guide vane works; performing secondary spraying on the preliminarily sprayed test water turbine guide vane on the basis of the secondary test spraying information of each wear area, and acquiring operation state data of the secondarily sprayed test water turbine guide vane during working; determining a target spraying scheme based on the operation state data of the test water turbine guide vane during working after secondary spraying; and based on the target spraying scheme, spraying control over the graphene ceramic coating is conducted on the water turbine guide vane of the product line. According to the method, the adaptive graphene ceramic coating spraying scheme can be accurately formulated according to the actual abrasion state of the water turbine guide vane.

The invention provides a lifting and steering device for a hydropower station runner defect detection robot, belongs to the technical field of hydropower station equipment detection, and can at least partially solve the problems that an existing robot platform base design lacks rotating and lifting functions, and the detection angle and coverage range are limited; the stability is poor, and particularly, high-precision operation cannot be guaranteed in a complex or uneven field environment; in order to solve the problems of complex disassembly and assembly, difficult movement and difficulty in rapid deployment to actual working conditions in the prior art, the invention comprises a rotation driving system, a lifting system and a robot mounting platform system, and the rotation driving system comprises a rotation fixing part, a rotation driving part and a rotation transmission part; the lifting system comprises a lifter fixing piece and a lifter assembly; through composite motion of 360-degree horizontal annular rotation and vertical lifting, three-dimensional dead-corner-free detection of the surface of the water turbine runner is achieved, and the defect scanning requirements of different heights and circumferential positions are met.

The invention relates to the technical field of water turbine blade manufacturing, and discloses a production system and method for an electroslag smelting casting three-dimensional variable curved surface water turbine blade, and the system comprises a three-dimensional variable curved surface blade crystallizer for electroslag smelting casting, an electroslag smelting casting electrode, a flexible electrode conductive device and a flexible electrode driving device; the three-dimensional variable-curved-surface water turbine blade crystallizer for electroslag casting is formed by combining a plurality of crystallizer blocks, and a blade crystallizer cavity of the three-dimensional variable-curved-surface water turbine blade crystallizer follows the shape of a water turbine blade; the electroslag casting electrode comprises a guide electrode and a flexible electrode, a guide channel is arranged in the guide electrode, and the guide electrode is located in a blade crystallizer cavity and fixed relative to a crystallizer. The shape of the produced electroslag smelting casting blade blank is completely matched with the shape of the three-dimensional curved surface of the water turbine blade, and the electroslag smelting casting three-dimensional curved surface water turbine blade is directly formed and manufactured through one-time smelting casting. And the produced water turbine blade blank is short in manufacturing process, small in machining allowance, high in material utilization rate, low in manufacturing cost and excellent in internal quality.

The invention relates to the technical field of water turbine design and simulation, in particular to a water turbine guide vane structure optimization design method, system and device and a medium, and the method comprises the steps that a multi-physical field coupling simulation model of a guide vane working environment is built and solved, and guide vane multi-working-condition performance data is obtained; on the basis of the multi-working-condition performance data, a mixed agent model for predicting guide vane performance statistical characteristics is constructed in combination with self-adaptive test design and uncertainty quantitative analysis; performing multi-objective collaborative optimization on the design parameter set of the guide vane and sealing system by using the mixed agent model to generate a robustness optimization solution set; based on the robustness optimization solution set and guide vane dynamic characteristics extracted from the multi-working-condition performance data, dynamic modeling and parameter calibration are carried out on the sealing system; and performing simulation verification and sensitivity analysis on the robustness optimization solution set, and outputting a parameterized design result. The method aims at improving simulation fidelity, optimization efficiency and robustness of optimization design of the guide vane structure of the water turbine.

The invention discloses a differential early warning method for a water turbine speed regulating system based on data driving, and aims to solve the problems of poor real-time performance, low accuracy, weak adaptability and lack of differential early warning of a traditional method. The method comprises the following steps: collecting data such as guide vane opening and unit frequency in real time, and preprocessing the data through median filtering and Kalman filtering; identifying working conditions by using a rule engine and fuzzy logic and processing according to the working conditions; extracting time domain and frequency domain characteristic parameters, and constructing statistical indexes; integrating statistics, nonlinearity and twinborn simulation to build a threshold model, and combining a production rule, a fault tree and a Bayesian network to build a rule model; and three types of early warning models are constructed, early warning levels are divided according to an expert scoring method, information is pushed, and a differentiation strategy is formulated. The method improves the early warning real-time performance and accuracy, adapts to complex working conditions, and guarantees the safe operation of the hydropower station.

The invention relates to the technical field of hydroelectric generation, in particular to an impulse turbine, a water bucket and a mortise and tenon joint structure for the water bucket and a hub. The water bucket comprises water bucket blades and tenons arranged at the roots of the blades; the shape of the tenon is configured to be movably assembled with a mortise formed in a hub of the water turbine in a fit clearance mode. According to the structure, a movable assembly mode with a fit clearance can be realized, and the water bucket can generate limited displacement in a gradual change clearance under different jet flow impact load conditions, so that the original traditional rigid connection is changed into flexible movable connection. The water bucket can be reliably connected with the hub without depending on welding or bolt fixing, and the common problem that in an original mode, a water head and a hub welding seam are prone to breakage under high-strength water impact force is solved.

The invention discloses a super-hydrophobic microcapsule self-repairing coating for cavitation damage of a rotating wheel of a water turbine and a preparation method of the super-hydrophobic microcapsule self-repairing coating, and belongs to the technical field of coatings. According to the invention, a composite coating system with self-repairing capability and cavitation energy dispersion characteristics is constructed, and in-situ treatment of cavitation damage of the water turbine runner is realized through the synergistic effect of microcapsule triggered repairing and surface microtexture.

The invention discloses a pumped storage power station water turbine top cover bolt fault alarm system and an alarm method, relates to the technical field of fault monitoring, and is used for monitoring stress and temperature data of top cover bolts through grating stress sensors in the top cover bolts. The method comprises the following steps: performing feature extraction on stress and temperature data to obtain the feature quantity of each bolt, and storing the feature quantity of each bolt to a current cache region Ai of a feature quantity cache region; the working condition of each top cover bolt and the working condition of the unit in the cache region A (i-1) are judged according to the bolt characteristic quantity data of the current cache region Ai and the adjacent cache region A (i-1) and cache region A (i-2), the working state of each unit is judged according to the bolt characteristic quantity data and the working condition data in the cache region A (i-1), and an alarm signal is sent out. And meanwhile, a threshold prediction model is established according to the convolutional neural network to output the optimized latest alarm threshold and send the optimized latest alarm threshold to an early warning rule base.

The invention relates to the technical field of hydroelectric power generation equipment structure reliability evaluation, and particularly provides a water turbine top cover bolt time-varying reliability evaluation method and device based on parameter sensitivity analysis. According to the technical scheme provided by the invention, key variables are highlighted through parameter sensitivity analysis, and the response surface method and Monte Carlo simulation are combined, so that the calculation efficiency is remarkably improved while the precision is ensured, and the reliability evolution rule of the bolt in the whole life cycle can be scientifically represented; and an important basis is provided for maintenance decision and structure optimization of the water turbine top cover bolt.

The invention discloses a high-rotating-speed hydraulic generator rotor bolt looseness detection method and system, belongs to the technical field of hydropower station high-rotating-speed rotating mechanical equipment detection, and aims at solving the technical problems that hydraulic generator rotor bolt looseness detection is low in efficiency and poor in precision, real-time monitoring cannot be achieved, and safe and stable operation of a hydropower station is seriously affected. According to the invention, the image of the rotor bolt area is collected, and the image is accurately processed by using an image correction algorithm, so that image distortion is eliminated; thirdly, fusing an improved YOLOv8 target detection technology, a DeepLabV3 + semantic segmentation technology and a DeepSort multi-target tracking technology, and accurately extracting angle features of the bolt marking line; and then, a looseness identification objective function is constructed based on the angle change of the bolt, the function is solved in real time, and a detection result is output. According to the invention, high-precision, non-contact and real-time bolt looseness detection is realized, the detection efficiency and reliability are effectively improved, and a solid guarantee is provided for safe operation of a hydropower station.

The invention discloses a water turbine blade coating binding force evaluation method and device, and relates to the technical field of hydroelectric generation. The method comprises the following steps: synchronously acquiring multi-modal nondestructive testing data of a coating area of a water turbine blade to be evaluated; inputting the multi-modal nondestructive testing data into the coating binding force prediction model for binding force prediction and integration to obtain a coating binding force spatial distribution diagram; the coating binding force spatial distribution diagram is input into a high-fidelity digital twin body for coupling simulation and life analysis, and a coating remaining life distribution diagram is obtained; inputting the coating binding force spatial distribution diagram and the coating residual life distribution diagram into an intelligent maintenance decision model for decision generation to obtain a blade maintenance decision; and carrying out visual display on the coating binding force spatial distribution diagram and the coating residual life distribution diagram, and generating a blade coating binding force evaluation report. The problems of low evaluation precision, single information dimension and disjunction between evaluation and decision in the prior art are solved.

The invention provides a hydroelectric generating set combination optimization method considering water turbine efficiency characteristics. Firstly, power station parameters, constraint conditions and net loads are determined; then the operation state of each unit is determined; in load distribution, unit flow is initialized according to unit characteristics, a power station tail water level is calculated according to a power station tail water level-flow curve, head loss and a water purification head are finely calculated according to hydraulic-mechanical characteristics of a hydroelectric generating set, and unit power generation efficiency is solved based on a BP neural network according to a water turbine comprehensive characteristic curve. Calculating the output of the unit, and iteratively calculating the minimum water consumption according to a dynamic lambda-iterative synthesis dichotomy; and finally, by taking the lowest water consumption as a target, obtaining an optimal unit combination scheme according to a binary artificial sheep flock algorithm. Compared with the prior art, the method has the advantages that the hydraulic-mechanical characteristics of the unit are considered, the water head loss calculation and the unit power generation efficiency are refined, the method can be applied to the water-wind-light multi-energy complementary system, the resources of the hydropower station are reasonably utilized, and the power consumption cost of the hydropower station is reduced.

1. The name of the design product: water turbine (water bucket blade manufacturing device under the gravity of water). 2. The use of the design product: for power generation. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 internal state diagram reference figure. 5. Design 1 is designated as the basic design.

The invention relates to an operation method of a water pumping and compressed air energy storage system, which comprises the following steps: after the water pumping and compressed air energy storage system is constructed, gas is filled into an upper water-gas co-containing cabin; in the energy storage process, the water pump and the compressor unit are controlled to work at the same time so as to pump water in the lower water-air co-containing cabin into the upper water-air co-containing cabin, and meanwhile, the compressor unit is controlled to press air into the lower water-air co-containing cabin; and in the energy releasing process, the water turbine and the expansion unit are controlled to work at the same time, so that water in the upper water-gas co-containing cabin flows into the lower water-gas co-containing cabin through the water turbine, and meanwhile air in the lower water-gas co-containing cabin generates power through the expansion unit. Therefore, the problems that the pumped storage unit and the compressed air energy storage unit are different in response speed, energy conversion path, operation constraint and the like, an existing scheduling method is difficult to achieve efficient cooperation of the pumped storage unit and the compressed air energy storage unit, the overall operation efficiency of the system is not high, and the advantages of hybrid energy storage are difficult to play are solved.

The invention relates to the technical field of computers and simulation analysis, in particular to a flow field simulation analysis method in the starting process of a water turbine, which comprises the following steps of: performing geometric pretreatment and grid pretreatment on a movable guide vane of the water turbine, and constructing a simulation environment; constructing a basic flow simulation model of the movable guide vane of the water turbine, adding a turbulence equation to model a turbulence phenomenon in the operation process of the water turbine, and inputting the turbulence phenomenon into the simulation environment for flow field simulation; a water turbine and a steady-state solver are initialized, and transient simulation results of flow velocity and pressure in the starting process of the water turbine in the simulation environment are solved in combination with analysis of the starting transition process of the water turbine until calculation convergence is achieved; and post-processing the calculation result, and outputting a visual flow field result. The variable speed transient simulation process of the water turbine starting process can be achieved, and high-precision transient numerical simulation of flow field changes in the water turbine starting process is achieved.

The invention relates to the technical field of hydroelectric generation, in particular to a method for determining distribution parameters of an impulse turbine, a water bucket and a pin column. The water bucket is of a double-bowl-shaped structure which is symmetrical along the water diversion blade, the water bucket is provided with an upstream face used for bearing water flow impact and a downstream face opposite to the upstream face, a plurality of pin columns are embedded in the downstream face in the normal direction of the downstream face, and the ends of the pin columns are matched with the surface of the upstream face to form a continuous smooth curved face of the upstream face. Under the conditions of high water head and sediment, deformation and cracking of the bucket and even damage of bucket breakage are avoided, and the service life of the bucket is prolonged.

The present application provides an impulse water turbine, an anti-erosion water bucket and an anti-erosion structure setting method. The water bucket has a double-bowl structure symmetrically along a water distribution edge. The water bucket has a water-impingement surface for bearing the impact of water flow and a backwater surface opposite to the water-impingement surface. The concave-convex points of the water-impingement surface are distributed in an array on both sides of the water distribution edge, the downstream area, the water outlet edge area and the water outlet area. The array of the concave-convex points on the inner surface of the water bucket can form a water film in the concave points under the impact of strong water flow. The water film generates a certain tension, thereby buffering the impact of the silt and protecting the inner surface of the water bucket. The anti-erosion performance of the water bucket of the impulse water turbine under the condition of high silt content can be greatly improved, and the problems of easy erosion, easy fracture and greatly shortened service life of the water bucket of the impulse water turbine under the conditions of high silt, high water head and strong impact force can be effectively solved.

A runner for a hydraulic turbine, including a hub and a plurality of pivotable blades extending from the hub. Each pivotable blade of the plurality of pivotable blades includes a root located at the hub, a tip opposite the root, and a leading edge. Each pivotable blade of the plurality of pivotable blades is pivotable relative to the hub about a respective pivot axis. For at least one blade, the leading edge at the root is positioned along a radial axis of the runner and the leading edge at the tip is cantilevered beyond the radial axis in a circumferential direction of the runner.

The invention relates to the field of water turbines, and provides a water turbine speed regulation system PID parameter optimization method and device, and the method comprises the steps: evaluating whether the system performance under the current operation condition meets the performance requirements or not based on a digital twin model of a water turbine speed regulation system; if not, optimizing the PID parameter corresponding to the current operation condition on the digital twin model by applying a trained BP neural network to obtain an optimized PID parameter; the BP neural network is obtained by training through an error back propagation algorithm based on the sample signal and the corresponding expected output. According to the PID parameter optimization method and device for the water turbine speed regulation system, an online optimization mechanism combining the digital twin model and the BP neural network is introduced, a group of adaptive new parameters can be rapidly and automatically output according to the current working condition information, calculation depending on artificial experience or a fixed formula is replaced, and the calculation efficiency is improved. And real-time and accurate tracking optimization of the complex time-varying system is realized.

The invention discloses a water turbine local turbulence field prediction method, and relates to the technical field of water turbines. The method comprises the following steps: S1, data acquisition and preprocessing; s2, sparse measurement point feature extraction; s3, low-dimensional representation of the turbulent flow field; s4, carrying out double-model joint training; and S5, performing real-time prediction. According to the method, the global turbulent flow field prediction can be realized only by using the pressure / speed time sequence data of a small number of sparse measuring points in the water turbine runner, and an expensive full flow field experiment table does not need to be built or a dense sensor array does not need to be deployed. Compared with the traditional experimental measurement (the equipment cost is more than ten million yuan), the total investment of the sensor and the computing equipment is only ten thousand yuan, and the cost is reduced by more than 99%; meanwhile, the installation difficulty of the sensor in a high-flow-speed and high-pressure area is avoided, the existing monitoring point layout of a hydropower station can be directly adapted, the technology landing feasibility is remarkably improved, and the model architecture does not depend on a specific water turbine type and can be adapted to different types such as a mixed-flow type and an axial-flow type by adjusting grid parameters and training data.

Systems, methods, and articles for a portable power case are disclosed. The portable power case is comprised of at least one battery and at least one PCB. The portable power case is operable to supply power to a transceiver. The portable power case is operable to be charged using a DC power source (e.g., solar panel, wind turbine, water turbine). A plurality of portable power cases, DC power sources, and transceivers are operable to form a mesh network.

The invention provides a method for adjusting a variable-speed pumped storage unit under a working condition of a water turbine, which comprises the following steps of: arranging a multi-source sensor array in a flow channel to collect parameters such as water head pressure, rotating speed fluctuation and active power, generating operation state data through space-time alignment and self-adaptive weighted fusion, and triggering re-calibration when a threshold value is exceeded; an efficiency optimization index is calculated, fluctuation is smoothed through moving average filtering, water head fluctuation is predicted, and early warning is conducted when the water head deviates from the optimal working condition; according to the efficiency index and the water head amplitude variation factor, a maintenance / early warning / emergency adjustment grade is divided, and a guide vane instruction is generated during high deviation; determining unit importance, evaluating resource requirements by using a multi-objective optimization algorithm, and dynamically monitoring deviation; and optimizing a rotating speed regulation scheme by adopting a self-adaptive hill climbing algorithm, evaluating an iterative optimization regulation path, and triggering parameter re-calibration when the deviation exceeds the limit. The operation efficiency, the adjusting precision and the stability of the variable-speed pumped storage unit under the working condition of the water turbine can be improved, and the energy consumption and the instability risk are reduced.

The invention discloses an intelligent commanding and testing integrated system for hydropower station debugging, and relates to the technical field of hydropower station equipment debugging and operation testing. Based on the physical connection relation and debugging parameters of the water turbine and the speed regulator, a three-dimensional function sub-region model is constructed, a multi-test-mode working condition database is established, through the effect recognition module, the system can construct and judge key indexes in each test mode, and the test efficiency is improved. Whether the problems of resonance effect, guide vane hysteresis, water attack abnormity and disturbance deviation exist or not is automatically recognized, a corresponding early warning instruction is sent out, and a closed-loop link from'phenomenon recognition 'to'reason tracing' is achieved. According to the method, whether a single test is qualified or not can be judged, the collaborative imbalance risk coefficient in the ith test mode can be further calculated, the risk level between collaborative effects is evaluated according to the collaborative imbalance risk coefficient, and intelligent adjustment of a test strategy is supported.