Method and system for improving power generation efficiency of water turbine

Abstract

The invention discloses a method and system for improving the power generation efficiency of a water turbine. The method comprises the steps that basic data collected by hydrophone arrays installed in a target area in real time are obtained; performing data preprocessing on the basic data, performing data alignment and splicing on the basic data after data preprocessing to obtain time-space domain data, and drawing a corresponding time-space domain image according to the time-space domain data; analyzing the time-space domain data, calculating flow information and energy information in the target area, determining a vortex generation position according to the flow information and the energy information, and displaying the vortex generation position in the drawn time-space domain image; and according to the vortex generation position, obtaining the distribution of the vortex street in the target area, and according to the distribution of the vortex street, the flow information and the energy information, optimizing each equipment parameter used for inhibiting the generation of the vortex street in the water turbine. A high-precision hydrophone array is selected to collect data in real time, and the eddy current position is calculated, so that parameters of each device are optimized, and the power generation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water turbine power generation, and in particular to a method and system for improving the power generation efficiency of a water turbine. Background Art

[0002] In hydropower generation systems, turbines are usually used to convert the kinetic energy of water flow into mechanical energy to drive generators to generate electricity. However, there will be a certain degree of energy loss in the turbine, which mainly includes the following aspects: Turbulence loss: The water flow inside the turbine may generate turbulence due to changes in flow velocity and other reasons. Turbulence will increase the internal energy consumption of the water flow, causing part of the kinetic energy to be converted into turbulent kinetic energy and lost.

[0003] Vortex loss: When water flows through the turbine, a vortex may be formed. The vortex will cause the kinetic energy of the water flow to be lost and affect the efficiency of the turbine.

[0004] In general, the energy loss of turbines in hydropower systems is generally between 10% and 20%, and the specific loss depends on factors such as turbine design, operating conditions, and water flow characteristics. By optimizing design, improving operating methods, and improving equipment quality, the energy loss of turbines can be reduced and the efficiency of hydropower systems can be improved.

[0005] In order to reduce the energy loss of the turbine and improve the efficiency of the hydropower generation system, the existing ways to optimize the efficiency of the hydropower generator set include: 1. Optimize the design of hydroelectric generator sets: By improving the shape and structure of components such as impellers, guide vanes and water inlets, the generation of vortices can be reduced. Adopting a suitable streamlined design to reduce turbulence and resistance can help reduce the formation of vortices.

[0006] 2. Reasonable layout of hydroelectric generators: In the configuration and layout of hydroelectric power stations, the direction and angle of water inlet and outlet need to be considered. Reasonable layout can reduce the impact and intersection of water flow and reduce the generation of vortex.

[0007] 3. Control the speed and pressure of water flow: By adjusting the speed and pressure of water flow, the generation and dissipation of vortices can be affected. Reasonable control of the flow rate and pressure of water flow can reduce the formation of vortices.

[0008] 4. Regular maintenance and cleaning: Regularly maintain and clean the hydropower generator set to keep the equipment in good condition. Cleaning impurities and substances accumulated on components such as impellers, guide vanes and water inlets can reduce the formation of vortices.

[0009] 5. Introduce auxiliary facilities: You can consider introducing auxiliary facilities, such as energy dissipation sills, wave-dissipation water inlet devices, etc., to reduce the generation of vortices by absorbing and dissipating the kinetic energy of the water flow. Among them, the impact of vortices on the power generation efficiency of turbines can be more significant, because vortices will cause energy loss and reduced efficiency.

[0010] However, the above scheme has some difficulties in detecting eddy currents in hydropower generation systems, mainly including the following aspects: 1. Complex water flow environment: The water flow environment in hydropower generation systems is usually relatively complex. Eddies often generate and disappear quickly in the water flow. They are affected by many factors such as water flow velocity, pressure, and temperature. Therefore, it is difficult to conduct accurate real-time monitoring and detection.

[0011] 2. Limitation of measurement position: Eddy currents are usually generated at turbine blades, inlets and other locations. However, these locations are usually difficult to observe directly or install sensors, making it difficult to accurately monitor the eddy currents in real time.

[0012] 3. Difficulty in selecting sensors: Due to the particularity of the water flow environment, traditional sensors (such as pressure sensors and flow rate sensors) are difficult to accurately capture the changes in eddy currents in hydropower generation systems, and it is necessary to select special sensor equipment suitable for the water flow environment.

[0013] 4. Complex data processing: The generation and disappearance of eddies in hydropower generation systems are very rapid, requiring high-frequency, high-sensitivity data acquisition and processing equipment, as well as complex algorithms to effectively identify and analyze the characteristics of eddies.

[0014] 5. Safety considerations: When conducting eddy current detection in a hydropower generation system, it is necessary to consider the safety and stability of the equipment, as well as the impact on the normal operation of the hydropower station and the life of the equipment. Therefore, in view of the difficulty of detecting eddy currents in hydropower generation systems, it is necessary to combine the complexity of the water flow environment and the limitations of sensor technology to carry out targeted technical research and innovation to improve the ability to accurately monitor and detect eddy currents. Summary of the invention

[0015] The purpose of the present invention is to provide a method and system for improving the power generation efficiency of a water turbine, by selecting a high-precision hydrophone array to collect data in real time, and marking the time of data collection through its own time synchronization system, the time and specific position of eddy current generation are calculated based on the collected data, and the parameters of each device are optimized according to the eddy current position to improve the power generation efficiency.

[0016] To achieve the above objectives, this application adopts the following scheme: In one aspect, the present invention provides a method for improving the power generation efficiency of a water turbine, which specifically comprises the following steps: S1, obtaining basic data collected in real time by each hydrophone array installed in the target area, and saving it in a data set to be processed; S2, preprocessing the basic data in the data set to be processed, aligning and splicing the basic data after data preprocessing to obtain spatiotemporal data, and drawing the corresponding spatiotemporal images according to the spatiotemporal data; S3, analyzing the time-space domain data, calculating the flow information and energy information in the target area, determining the location where the eddy current is generated according to the flow information and energy information, and displaying it in the drawn time-space domain image; S4. According to the location where the vortex is generated, the distribution of the vortex street in the target area is obtained, and the parameters of various devices in the turbine for suppressing the generation of the vortex street are optimized according to the distribution, flow information and energy information of the vortex street.

[0017] In some specific implementation schemes, the process of obtaining basic data is: S11, recording the time when each hydrophone array collects each piece of target area environmental data, and performing digital filtering on the target area environmental data to convert it into basic vibration data; S12. Convert the basic vibration data into frequency domain data through Fourier transform, take the basic vibration data and frequency domain data corresponding to the same acquisition time as a group of vibration data groups, and store them according to a preset data format to obtain a basic data, and store it in the data set to be processed. The data format is: time stamp + hydrophone array number + vibration data group.

[0018] In some specific implementation schemes, the data preprocessing process in step S2 includes: Traversing the frequency domain data in each basic data in the data set to be processed, performing frequency selection confirmation on the frequency domain data, and when the frequency domain data does not meet the preset threshold, marking the basic data as invalid and deleting it from the data set to be processed, and recording the hydrophone array number in the basic data; After traversing the data set to be processed, the number of invalid data and the hydrophone array number corresponding to each invalid data are counted and recorded, and whether the hydrophone array corresponding to the invalid data is invalid or not is determined and replaced according to the statistical result.

[0019] In some specific implementation schemes, the specific process of obtaining the spatiotemporal data in step S2 is: S21, aligning the basic data after data preprocessing on the time side, summarizing the basic data of the same acquisition time, and counting the basic vibration data and frequency domain data in the vibration data respectively, to obtain a first data queue and a second data queue, the first data queue is used to store the basic vibration data collected by each hydrophone array at the same acquisition time, and the second data queue is used to store the frequency domain data of each hydrophone array at the same acquisition time; S22, splicing the data of the first data queue and the second data queue respectively according to the process position sequence of the hydrophone array corresponding to the data, to form a vibration process data group and a frequency domain process data group arranged along the process of the target area at the same acquisition time; S23, splicing the data of the first data queue and the second data queue respectively according to the order of the elevation positions of the hydrophone arrays corresponding to the data in the same cross section, to form a vibration elevation data group and a frequency domain elevation data group arranged along the cross section elevation data at the same acquisition time; S24, splicing the vibration process data group and the vibration elevation data group at the same acquisition time to obtain spatiotemporal vibration data, and splicing the frequency domain process data group and the frequency domain elevation data group at the same acquisition time to obtain spatiotemporal frequency data; S25, sorting the spatiotemporal vibration data and spatiotemporal frequency data of each basic data at all acquisition times according to the process and elevation to form spatiotemporal data.

[0020] In some specific embodiments, the flow information of the target area is deduced using the spatiotemporal vibration data, and the energy information in the target area is deduced using the spatiotemporal frequency data.

[0021] In some specific embodiments, the flow information includes flow direction and flow velocity, and the spatiotemporal image includes a flow map drawn based on spatiotemporal vibration data and an energy map drawn based on spatiotemporal frequency data.

[0022] In some specific embodiments, the process of determining the location where the eddy current is generated is: Traverse the time and space domain data, solve the flow information and energy information at each process position and elevation position, and judge whether the flow information and energy information meet the conditions for the generation of vortex vortex street. If yes, mark the process position and elevation position as the location where the vortex is generated.

[0023] In some specific embodiments, the distribution, flow information and energy information of the vortex street are sent to the controllable vortex street suppression control module and the turbine speed control module, and the vortex street suppression module and the turbine speed control module are linked to suppress the energy loss caused by the vortex street.

[0024] In some specific implementation schemes, according to the distribution, flow information and energy information of the vortex street in the target area, the vortex street flow and energy changes are tracked to minimize the water flow energy loss in the entire target area, so as to achieve the purpose of increasing power generation and thus improve the power generation efficiency of the turbine.

[0025] In a second aspect, the present application provides a system for improving the power generation efficiency of a hydraulic turbine, applying the above-mentioned method for improving the power generation efficiency of a hydraulic turbine, including installing a plurality of hydrophone arrays along a target area in a target area at a water inlet of a hydraulic turbine, each hydrophone array corresponding to an edge computing node, and a central control system for communicating with each edge computing node, the central control system comprising: The data acquisition module is used to obtain the basic data uploaded by the edge computing node, save the basic data into the data set to be processed, and perform data preprocessing on the basic data in the data to be processed; The data splicing module is used to align and splice the basic data after data preprocessing to obtain spatiotemporal data, and draw the corresponding spatiotemporal images according to the spatiotemporal data; The eddy current position determination module is used to analyze the time-space domain data, deduce the flow information and energy information in the target area, determine the location of the eddy current based on the flow information and energy information, and display it in the drawn time-space domain image; The control module is used to obtain the distribution of vortex streets in the target area according to the location where the vortex is generated, and optimize the parameters of various equipment in the turbine for suppressing the generation of vortex streets according to the distribution, flow information and energy information of the vortex streets.

[0026] The present invention has the beneficial effects: The present application uses a hydrophone array, which can be installed in front of the water intake and at the rear of the tail pipe. If the optimization effect needs to be enhanced, it can be installed at intervals along the waterway of the aqueduct. The environmental data of the target area collected by the hydrophone array is analyzed to obtain the global spatiotemporal data from the water intake to the river outlet. The flow and energy information in the target area can be inferred based on the spatiotemporal data, and the vortex position can be determined. The equipment parameters are optimized based on the vortex position. For example, the location where the vortex is generated can be counted so that the speed regulator control parameters can be optimized based on the vortex position statistical data to improve the power generation efficiency. The energy dissipation sill and wave-dissipation water inlet device can also be introduced based on the vortex position statistical data to reduce the probability of vortex production, thereby improving the power generation efficiency.

[0027] This application obtains relevant real-time data on the water vortex street pushed by the turbine blades through the hydrophone array, which can be linked to the turbine speed governor to reduce the energy loss caused by the vortex street by optimizing the turbine speed, thereby improving the power generation efficiency.

[0028] This application obtains relevant historical data on vibration, impact and vortex street of turbine blades through a hydroacoustic array, and can predict the health of turbine blades and generator sets. Through health assessment and preventive maintenance of turbine sets, the maintenance time can be shortened or health risk points can be discovered in advance, and downtime for maintenance can be reduced, thereby improving power generation efficiency.

[0029] The vortex and vibration data collected in this application can be used for optimization of turbine blades. Through optimization of turbine blades, the power generation efficiency can be further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A flow chart of a method for improving power generation efficiency of a water turbine provided by an embodiment of the present invention; Figure 2 A schematic diagram of a hydropower generation scenario provided by an embodiment of the present invention; Figure 3 A schematic diagram of installing a hydrophone array in a target area provided by an embodiment of the present invention; Figure 4 A schematic diagram of a flow diagram drawn based on spatiotemporal vibration data provided by an embodiment of the present invention; Figure 5 A schematic diagram of an energy diagram drawn based on time-space domain frequency data provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] The relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0033] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0034] Additionally, descriptions of well-known structures, functions, and configurations may be omitted for clarity and conciseness.One of ordinary skill in the art will recognize that various changes and modifications may be made to the examples described herein without departing from the spirit and scope of the present disclosure.

[0035] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.

[0036] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0037] The presence of vortices will increase the turbulence and resistance of the water flow, reduce the speed and pressure of the water flow, and thus affect the normal operation and power generation efficiency of the turbine. The vortices will mainly affect the following aspects of the turbine: Reduced effective inlet area: The vortex will occupy a certain inlet area, resulting in a reduction in the effective inlet area, thereby reducing the amount of water flowing through the turbine and affecting the power generation efficiency.

[0038] Increased resistance to water flow: Vortex increases the resistance to water flow, making it necessary for water flow to overcome greater resistance when passing through the turbine, consuming some energy and reducing power generation efficiency.

[0039] Affecting the flow of water: vortices will disrupt the flow of water, making the flow of water in the impeller unstable, affecting the working efficiency and power output of the impeller. In summary, the impact of vortices on the power generation efficiency of turbines is quite obvious, causing energy loss and reduced efficiency. Therefore, when designing and operating turbines, measures need to be taken to reduce the generation of vortices and improve the efficiency and power generation performance of turbines.

[0040] In hydropower generation systems, the sensing means used for control include water level sensors: used to measure the water level in reservoirs or dams in order to monitor water level changes and control water flow.

[0041] Flow sensor: used to measure the flow rate and flow of water in order to monitor water flow conditions and adjust the flow.

[0042] Pressure sensor: used to monitor water pressure changes, especially in turbines and water pipes to ensure safe operation of the system.

[0043] Temperature Sensors: Used to monitor water temperature, especially in turbines and power generation equipment, to ensure that the equipment is within normal operating temperature range.

[0044] Vibration sensor: used to monitor the vibration of equipment such as turbines for equipment status monitoring and fault diagnosis. The above sensing methods have little effect on reducing vortices and improving hydropower generation efficiency.

[0045] Due to the particularity of the water flow environment, it is difficult for traditional sensors (such as pressure sensors and flow rate sensors) to accurately capture the changes in eddy currents in a hydropower generation system. Therefore, this application uses a hydrophone array as a sensor device to collect the water flow environment. The specific scheme is as follows: Example 1 like Figure 1 As shown, this embodiment provides a method for improving the power generation efficiency of a water turbine, which specifically includes the following steps: S1, obtaining basic data collected in real time by each hydrophone array installed in the target area, and saving it in a data set to be processed; In this embodiment, the application scenario is as follows Figure 2-Figure 3 As shown, the turbine is installed below the power plant and connected to the output shaft of the generator in the power plant. The water inlet of the turbine is connected to the pressure pipe. The water flow formed in the pressure pipe flows from the water inlet of the reservoir to the waterway in the turbine. An array-type hydrophone array is installed in the waterway, the front of the water intake and the rear of the tail pipe. Multiple hydrophone arrays in the waterway are installed at equal intervals along the waterway. The hydrophone arrays installed in the front of the water intake, the rear of the tail pipe and the waterway are used to comprehensively collect the environmental data of the target area in the target area. In this embodiment, the hydrophone array uses high-sensitivity hydrophones to cover the target area. Preferably, the hydrophone array adopts a circular array arrangement to optimize the spatial resolution. And TTE is used to ensure the time synchronization of multiple hydrophone sensors (error <1 μs).

[0046] In this embodiment, the core of the hydrophone array is a 32-bit high-precision ADC chip, which collects data at a sampling rate of 4M, and converts the target area environmental data into basic vibration data through digital filtering, and the basic data is converted into frequency domain data through Fourier transform. The data format is time stamp + hydrophone array number + 32-bit vibration data group [4M].

[0047] Specifically, the process of obtaining basic data is: S11, recording the time when each hydrophone array collects each piece of target area environmental data, and performing digital filtering on the target area environmental data to convert it into basic vibration data; S12. Convert the basic vibration data into frequency domain data through Fourier transform, take the basic vibration data and frequency domain data corresponding to the same acquisition time as a group of vibration data groups, and store them according to a preset data format to obtain a basic data, and store it in the data set to be processed. The data format is: time stamp + hydrophone array number + vibration data group.

[0048] S2, preprocessing the basic data in the data set to be processed, aligning and splicing the basic data after data preprocessing to obtain spatiotemporal data, and drawing the corresponding spatiotemporal images according to the spatiotemporal data; In order to obtain accurate data for calculating the position of the vortex street, the basic data needs to be preprocessed. The preprocessing includes data cleaning, denoising and format conversion to ensure the accuracy and consistency of the data. For basic vibration data and frequency data, the threshold can be judged and the frequency domain can be selected to confirm. The background noise of the water flow from a few hertz to tens of hertz can be suppressed, and the high-frequency small signal of the vortex street or eddy current can be amplified. Data cleaning mainly removes data below or above the threshold so that invalid or erroneous data will not affect the system identification. At the same time, it is necessary to record the number of invalid data and the associated hydrophone to confirm whether the hydrophone has failed and needs to be replaced. The frequency of the vortex street is between one hundred and several thousand hertz, which needs to be selected according to the on-site target area and water flow conditions, and set and amplified in a targeted manner.

[0049] The data preprocessing process in step S2 includes: Traversing the frequency domain data in each basic data in the data set to be processed, performing frequency selection confirmation on the frequency domain data, and when the frequency domain data does not meet the preset threshold, marking the basic data as invalid and deleting it from the data set to be processed, and recording the hydrophone array number in the basic data; After traversing the data set to be processed, the number of invalid data and the hydrophone array number corresponding to each invalid data are counted and recorded, and whether the hydrophone array corresponding to the invalid data is invalid or not is determined and replaced according to the statistical result.

[0050] The specific process of obtaining the spatiotemporal data in step S2 is as follows: S21, aligning the basic data after data preprocessing on the time side, summarizing the basic data of the same acquisition time, and counting the basic vibration data and frequency domain data in the vibration data respectively, to obtain a first data queue and a second data queue, the first data queue is used to store the basic vibration data collected by each hydrophone array at the same acquisition time, and the second data queue is used to store the frequency domain data of each hydrophone array at the same acquisition time; S22, splicing the data of the first data queue and the second data queue respectively according to the process position sequence of the hydrophone array corresponding to the data, to form a vibration process data group and a frequency domain process data group arranged along the process of the target area at the same acquisition time; S23, splicing the data of the first data queue and the second data queue respectively according to the order of the elevation positions of the hydrophone arrays corresponding to the data in the same cross section, to form a vibration elevation data group and a frequency domain elevation data group arranged along the cross section elevation data at the same acquisition time; S24, splicing the vibration process data group and the vibration elevation data group at the same acquisition time to obtain spatiotemporal vibration data, and splicing the frequency domain process data group and the frequency domain elevation data group at the same acquisition time to obtain spatiotemporal frequency data; S25, sorting the spatiotemporal vibration data and spatiotemporal frequency data of each basic data at all acquisition times according to the process and elevation to form spatiotemporal data.

[0051] The pre-processed data are aligned on the time side; they are spliced ​​in the order of the process positions of the hydrophone array to form two sets of data along the process of the target area, and the data formats are data [time array] [process position group] [vibration data group] and data [time array] [process position group] [frequency data group] respectively; At the same time, the data are sorted and spliced ​​according to the elevation position of the same section where the hydrophone is located, forming the elevation data of a specific section, and the data formats are data [time array] [elevation position array] [vibration data group] and data [time array] [elevation position array] [frequency data group] respectively; All data are sorted by process and elevation to form time-space domain data, and their data formats are data [time array][process position array][elevation position array][vibration data group] and data [time array][process position array][elevation position array][frequency data group].

[0052] After obtaining the two sets of the above-mentioned spatiotemporal data, a spatiotemporal image can be drawn according to the actual situation of the target area. The spatiotemporal image includes a flow diagram drawn according to the spatiotemporal vibration data, such as Figure 4 As shown in the figure, the energy diagram drawn based on the time-space frequency data is as follows Figure 5 As shown in the figure, the flow diagram mainly focuses on the dynamic characteristics of vortex and vortex street flow direction, flow rate, etc.; the energy diagram mainly focuses on the energy characteristics of vortex vortex street. Drawing the energy diagram and flow diagram can help developers to perform visual confirmation and algorithm optimization confirmation. In the system control and algorithm optimization stage, only the above basic data need to be trained and optimized.

[0053] S3, analyzing the time-space domain data, calculating the flow information and energy information in the target area, determining the location where the eddy current is generated according to the flow information and energy information, and displaying it in the drawn time-space domain image; Since vortex shedding produces a narrowband peak near the Strouhal frequency, while the spectrum of turbulent or laminar flow without vortices is a broadband random distribution, spectrum analysis (frequency data) can be used to quickly determine whether there is a vortex in the water flow, and further combine time domain signals and spatial positioning technology to achieve accurate detection. In practical applications, it is necessary to eliminate the interference of environmental noise and mechanical vibration, and use multi-sensor fusion and signal enhancement algorithms when necessary.

[0054] Specifically, the time-space domain data is traversed, and the time-space domain vibration data is used to deduce the flow information of the target area. The flow information includes flow direction and flow velocity. The time-space domain frequency data is used to deduce the energy information in the target area. Solve the flow information and energy information at each process position and elevation position, and determine whether the flow information and energy information meet the conditions for the generation of vortex vortex streets. If they do, mark the process position and elevation position as the location where the vortex is generated. That is, when traversing the time-space domain frequency data, determine whether the characteristic frequency narrowband peak in the frequency data meets the threshold condition signal and count the frequency data that meets the conditions. Combined with time difference positioning (TDOA) and beamforming to confirm the vortex position, when drawing the energy graph, it is drawn in the energy graph with different brightness according to the characteristic frequency interval where the frequency data is located. Figure 5 In the energy diagram shown, the process flow is the horizontal axis and the time is the vertical axis. The brightness in the diagram is the eddy current intensity, that is, the corresponding frequency data. The energy diagram is drawn according to the brightness corresponding to the time, process flow and frequency, so as to obtain the eddy current running trajectory in the energy diagram. The eddy current running trajectory of the energy diagram is identified, and the water flow velocity deduced from the flow direction diagram is combined to determine whether the eddy current complies with the relevant basic principles of fluid mechanics. For example, whether the eddy current moves forward with the increase of time. If so, it is proved that it complies, and the relevant trajectory that complies with fluid mechanics is displayed on the display interface.

[0055] S4. According to the location where the vortex is generated, the distribution of the vortex street in the target area is obtained, and the parameters of various devices in the turbine for suppressing the generation of the vortex street are optimized according to the distribution, flow information and energy information of the vortex street.

[0056] The distribution, flow information and energy information of the vortex street are sent to the controllable vortex street suppression control module and the turbine speed control module, and the vortex street suppression module and the turbine speed control module are linked to suppress the energy loss caused by the vortex street.

[0057] It is also possible to track the vortex flow and energy changes according to the distribution, flow information and energy information of the vortex street in the target area, so as to minimize the water flow energy loss in the entire target area, thereby achieving the purpose of increasing power generation and thus improving the power generation efficiency of the turbine.

[0058] When optimizing equipment parameters, the locations where eddies are generated are counted and the power generation efficiency at that time is recorded. This can form corresponding statistics of power generation efficiency and eddies, so that the speed regulator control algorithm can be optimized based on the statistical data to improve power generation efficiency. Based on the statistical characteristics of the locations where eddies are generated, energy dissipation barriers and wave-dissipation water inlet devices can be introduced to reduce the probability of eddy current production, thereby improving power generation efficiency.

[0059] In addition, the eddy current distribution statistics can reflect the sediment accumulation in the target area of ​​the turbine unit, assist the power station in making pollution cleaning plans, and the system can set thresholds and intelligently give suggestions for pollution cleaning and dredging.

[0060] Example 2 The present embodiment provides a system for improving the power generation efficiency of a water turbine, and a method for improving the power generation efficiency of a water turbine using embodiment 1, comprising a plurality of hydrophone arrays installed along a target area in a target area at a water inlet of a water turbine, each hydrophone array corresponding to an edge computing node, a central control system for communicating with each edge computing node, and a device control module for communicating with the central control system, wherein the device control module comprises an eddy current vortex street suppression module, a water turbine speed control module, and an eddy current vortex street detection module; The central control system includes: The data acquisition module is used to obtain the basic data uploaded by the edge computing node, save the basic data into the data set to be processed, and perform data preprocessing on the basic data in the data to be processed; The data splicing module is used to align and splice the basic data after data preprocessing to obtain spatiotemporal data, and draw the corresponding spatiotemporal images according to the spatiotemporal data; The eddy current position determination module is used to analyze the time-space domain data, deduce the flow information and energy information in the target area, determine the location of the eddy current based on the flow information and energy information, and display it in the drawn time-space domain image; The control module is used to obtain the distribution of vortex streets in the target area according to the location where the vortex is generated, and send the distribution, flow information and energy information of the vortex streets to each specific equipment control module, so as to optimize the parameters of various equipment used to suppress the generation of vortex streets in the turbine.

[0061] The eddy current detection module tracks the flow direction and energy changes of the eddy current, so as to minimize the water flow energy loss in the entire target area, thereby achieving the purpose of increasing power generation and thus improving the power generation efficiency of the turbine.

[0062] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. According to the technical essence of the present invention, within the spirit and principles of the present invention, any simple modification, equivalent replacement and improvement made to the above embodiment still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for improving the power generation efficiency of a water turbine, characterized in that: The specific steps include: S1, obtaining basic data collected in real time by each hydrophone array installed in the target area, and saving it in a data set to be processed; S2, preprocessing the basic data in the data set to be processed, aligning and splicing the basic data after data preprocessing to obtain spatiotemporal data, and drawing the corresponding spatiotemporal images according to the spatiotemporal data; S3, analyzing the time-space domain data, calculating the flow information and energy information in the target area, determining the location where the eddy current is generated according to the flow information and energy information, and displaying it in the drawn time-space domain image; S4. According to the location where the vortex is generated, the distribution of the vortex street in the target area is obtained, and the parameters of various devices in the turbine for suppressing the generation of the vortex street are optimized according to the distribution, flow information and energy information of the vortex street.

2. A method for improving the power generation efficiency of a water turbine according to claim 1, characterized in that: The process of obtaining basic data is: S11, recording the time when each hydrophone array collects each piece of target area environmental data, and performing digital filtering on the target area environmental data to convert it into basic vibration data; S12. Convert the basic vibration data into frequency domain data through Fourier transform, take the basic vibration data and frequency domain data corresponding to the same acquisition time as a group of vibration data groups, and store them according to a preset data format to obtain a basic data, and store it in the data set to be processed. The data format is: time stamp + hydrophone array number + vibration data group.

3. A method for improving the power generation efficiency of a water turbine according to claim 2, characterized in that: The data preprocessing process in step S2 includes: Traversing the frequency domain data in each basic data in the data set to be processed, performing frequency selection confirmation on the frequency domain data, and when the frequency domain data does not meet the preset threshold, marking the basic data as invalid and deleting it from the data set to be processed, and recording the hydrophone array number in the basic data; After traversing the data set to be processed, the number of invalid data and the hydrophone array number corresponding to each invalid data are counted and recorded, and whether the hydrophone array corresponding to the invalid data is invalid or not is determined and replaced according to the statistical result.

4. A method for improving the power generation efficiency of a water turbine according to claim 2, characterized in that: The specific process of obtaining the spatiotemporal data in step S2 is as follows: S21, aligning the basic data after data preprocessing on the time side, summarizing the basic data of the same acquisition time, and counting the basic vibration data and frequency domain data in the vibration data respectively, to obtain a first data queue and a second data queue, the first data queue is used to store the basic vibration data collected by each hydrophone array at the same acquisition time, and the second data queue is used to store the frequency domain data of each hydrophone array at the same acquisition time; S22, splicing the data of the first data queue and the second data queue respectively according to the process position sequence of the hydrophone array corresponding to the data, to form a vibration process data group and a frequency domain process data group arranged along the process of the target area at the same acquisition time; S23, splicing the data of the first data queue and the second data queue respectively according to the order of the elevation positions of the hydrophone arrays corresponding to the data in the same cross section, to form a vibration elevation data group and a frequency domain elevation data group arranged along the cross section elevation data at the same acquisition time; S24, splicing the vibration process data group and the vibration elevation data group at the same acquisition time to obtain spatiotemporal vibration data, and splicing the frequency domain process data group and the frequency domain elevation data group at the same acquisition time to obtain spatiotemporal frequency data; S25, sorting the spatiotemporal vibration data and spatiotemporal frequency data of each basic data at all acquisition times according to the process and elevation to form spatiotemporal data.

5. A method for improving the power generation efficiency of a water turbine according to claim 4, characterized in that: The flow information of the target area is deduced using the vibration data in the time-space domain, and the energy information in the target area is deduced using the frequency data in the time-space domain.

6. A method for improving the power generation efficiency of a water turbine according to claim 1, characterized in that: The flow information includes flow direction and flow velocity, and the spatiotemporal images include flow diagrams drawn based on spatiotemporal vibration data and energy diagrams drawn based on spatiotemporal frequency data.

7. A method for improving the power generation efficiency of a water turbine according to claim 5, characterized in that: The process of determining the location where the eddy current is generated is: Traverse the time and space domain data, solve the flow information and energy information at each process position and elevation position, and judge whether the flow information and energy information meet the conditions for the generation of vortex vortex street. If yes, mark the process position and elevation position as the location where the vortex is generated.

8. The method for improving the power generation efficiency of a water turbine according to claim 5, characterized in that: The distribution, flow information and energy information of the vortex street are sent to the controllable vortex street suppression control module and the turbine speed control module, and the vortex street suppression module and the turbine speed control module are linked to suppress the energy loss caused by the vortex street.

9. The method for improving the power generation efficiency of a water turbine according to claim 5, characterized in that: According to the distribution, flow information and energy information of the vortex street in the target area, the vortex street flow and energy changes are tracked to minimize the water flow energy loss in the entire target area.

10. A system for improving the power generation efficiency of a water turbine, using a method for improving the power generation efficiency of a water turbine as claimed in any one of claims 1 to 9, characterized in that: It includes a plurality of hydrophone arrays installed along the target area in the target area at the water inlet of the turbine, each hydrophone array corresponds to an edge computing node, and a central control system for communicating with each edge computing node, the central control system includes: The data acquisition module is used to obtain the basic data uploaded by the edge computing node, save the basic data into the data set to be processed, and perform data preprocessing on the basic data in the data to be processed; The data splicing module is used to align and splice the basic data after data preprocessing to obtain spatiotemporal data, and draw the corresponding spatiotemporal images according to the spatiotemporal data; The eddy current position determination module is used to analyze the time-space domain data, deduce the flow information and energy information in the target area, determine the location of the eddy current based on the flow information and energy information, and display it in the drawn time-space domain image; The control module is used to obtain the distribution of vortex streets in the target area according to the location where the vortex is generated, and optimize the parameters of various equipment in the turbine for suppressing the generation of vortex streets according to the distribution, flow information and energy information of the vortex streets.

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