191 results about "Hydroelectricity" patented technology

The invention discloses a hydroelectric power generation equipment remote monitoring system based on the Internet of Things technology. The system comprises a sensor node, a gateway station, a cloud server and the like, and the sensor node is composed of various sensors, a microcontroller unit and the like, collects data such as water level, flow and temperature, and transmits the data to the gateway station through a LoRa module; after processing, the gateway station uploads data to the cloud server through Wi-Fi, and can give an alarm through 4G in case of power failure; the cloud server is used for storing data. Data transmission supports LoRa wireless, Wi-Fi and polling and event-driven modes, and the analysis processing module adopts an ARIMA model and the like to carry out anomaly detection and trend prediction. The system can operate stably after being installed and debugged, the performance is ensured through daily maintenance and upgrading, the equipment reliability, the operation efficiency and the operation and maintenance management level are improved in practical application, and a high-efficiency intelligent solution is provided for hydroelectric power generation equipment monitoring.

The invention provides a wind power plant short-term power prediction method and system based on similar days of meteorological elements, and relates to the field of data processing, and the method comprises the steps: carrying out the data processing of basic information, operation data, meteorological data and landform data of a plurality of wind and light hydropower stations in a target region, carrying out the clustering of the plurality of wind and light hydropower stations, and carrying out the clustering of the plurality of wind and light hydropower stations; determining a plurality of wind power generation clusters, a plurality of photovoltaic power generation clusters and a plurality of hydroelectric power generation clusters, and establishing a plurality of candidate wind power generation prediction models, a plurality of candidate photovoltaic power generation prediction models and a plurality of candidate hydroelectric power generation prediction models; generating a plurality of candidate combination prediction models corresponding to the wind-solar hydropower station, and determining an optimal combination prediction model; obtaining weather forecast data and hydrological forecast data of the wind and light hydropower station to be predicted in the target time period; and the wind power generation power, the photovoltaic power generation power and the hydroelectric power generation power are predicted through the corresponding optimal combination prediction model. The method has the advantage of improving the accuracy of water-wind-light power generation power prediction.

The invention relates to a method for controlling a virtual power plant that is composed of a battery and hydroelectric power plants and is connected to a power grid. The virtual power plant is subject to an overall power setpoint exceeding the operational limit of the battery. A first setpoint is sent to a local controller of a hydroelectric power plant, the first setpoint not taking into account hydroelectric power measurements but depending on an order of priority and on limits of the battery. Next, a second setpoint is provided, based on measurement of the overall power of the hydroelectric power plants. Simultaneously, the battery receives a third setpoint adjusted depending on the overall setpoint and the hydroelectric power measurements. The setpoints aim to maintain the stability over time in the overall power supplied by the virtual power plant, in compliance with the requested power setpoint.

The invention discloses a reservoir floating object flow guiding and removing device which is characterized by comprising an overflow dam arranged on the first side in the length direction of a reservoir dam, and a water inlet used for hydroelectric generation is formed in the second side in the length direction of the dam; the overflow dam is flush with the highest water level of the reservoir and is lower than the dam body; the floating object guide mechanism is used for guiding floating objects on the reservoir to the overflow dam; the floating object transfer field is arranged at the downstream of the overflow dam and is used for storing floating objects discharged by the overflow dam; the water filtering slide way is arranged between the overflow dam and the floating object transfer field, a plurality of water filtering holes are formed in the water filtering slide way, and the floating objects slide to the floating object transfer field through the water filtering slide way. The flow guiding and removing device for the floating objects in the reservoir is simple in structure and low in cost.

The invention discloses a virtual power plant economic dispatching system based on distributed power generation. The system comprises a model objective function construction module which constructs an objective function for maximizing the economic benefit of a virtual power plant within a set time period; the output planning module obtains virtual power plant planned output based on distributed power generation under the corresponding condition; the operation constraint module constructs the operation constraint of the virtual power plant, and solves the model to obtain the power output of each distributed generator set; the energy storage control module is used for compensating the output deviation of the virtual power plant through combined operation of pumped storage hydroelectric generation and an energy storage battery; and the economic dispatching operation module obtains an optimized dispatching power generation plan of the future virtual power plant in each time period according to the distributed future power generation curve of the uncontrollable power supply, the time-of-use electricity price and the power generation cost. The operation economic benefits of the virtual power plant are improved.

The hydropower station electromagnetic high-pressure water hammer high-pressure jet pressure increasing and reducing precise control system comprises a main pipeline and a water inlet pipeline, and the outer wall of the water inlet pipeline is sleeved with an electromagnetic pressure increasing and reducing mechanism; the electromagnetic pressure increasing and reducing mechanism comprises a first wrapping shell and a second wrapping shell, a fixing piece used for locking the first wrapping shell and the second wrapping shell is arranged between the tops of the first wrapping shell and the second wrapping shell, electromagnetic pieces are arranged in the middles of the first wrapping shell and the second wrapping shell, and a control piece is arranged on the side, away from the second wrapping shell, of the first wrapping shell. The electromagnetic pressure increasing and reducing mechanism is arranged at the water inlet pipeline, the electromagnetic pressure increasing and reducing mechanism can control the entering water pressure when a water body flows through the water inlet pipeline according to the electromagnetic induction principle through the arrangement of the electromagnetic part, and when the water body enters the water hammer pump body structure under the control of the structure, it can be guaranteed that the change of the water pressure is controllable; and therefore, it is guaranteed that the hydroelectric power generation equipment composed of the equipment can generate power more stably and efficiently.

The invention relates to the technical field of hydroelectric generation, and discloses a runoff prediction and hydroelectric-hydrogen system combined scheduling method and device, and the method comprises the steps: obtaining the historical drought data of a target hydropower station, and carrying out the enhancement processing of the historical drought data, and obtaining a runoff enhancement data set; training a preset prediction model by using the runoff enhanced data set to obtain a trained prediction model; and obtaining runoff prediction data of the target hydropower station according to the preset sampling time by using the prediction model, the runoff prediction data including the predicted runoff volume of each preset sampling time, and performing energy scheduling on the hydropower-hydrogen system based on the annual income demand and the predicted runoff volume of the hydropower-hydrogen system. The historical runoff data is enhanced, the number of training samples of the prediction model is increased, the performance of the prediction model is improved, energy scheduling is carried out based on the annual income demand of the hydroelectric-hydrogen system, it is guaranteed that the annual income of the target hydropower station is maximum, and the toughness of the hydroelectric system under the extreme drought condition is improved.

The invention aims at the goal of carbon peak reaching and carbon neutralization at present, and the acceleration of the development of new energy is imperative. As a representative of new energy, photovoltaic has serious randomness, volatility and intermittency problems, the invention provides a water-light complementation day-ahead optimization scheduling model containing energy storage, and the impact of the uncertainty of photovoltaic output on a power grid is reduced by utilizing hydroelectric generation and energy storage smoothing photovoltaic output with flexible adjustment capability. The method comprises the following steps: firstly, analyzing the uncertainty of photovoltaic power generation according to different photovoltaic output conditions in sunny days, cloudy days, rainy days and four seasons; then, photovoltaic scene generation and reduction are realized based on a Monte Carlo simulation method and K-means clustering, and a typical solar photovoltaic output curve is obtained by using a probability weighting method; and finally, taking the minimum economic cost of the complementary system as a target, considering photovoltaic power stations, hydropower stations and energy storage related constraint conditions, and carrying out day-ahead optimization scheduling to meet power grid scheduling requirements. Three scenes are set for comparison, a CPLEX solver is adopted to respectively obtain the optimal economic cost of the model and the optimal output of each device, and the result shows that the scene 3 can realize photovoltaic consumption while reducing the economic cost, the average light abandoning rate is only 2.15%, and the economy and effectiveness of the model provided by the invention are proved.

The invention discloses a new energy supply-based integrated energy system optimization scheduling method, and relates to the technical field of integrated energy system optimization scheduling, and the method comprises the following steps: constructing a supply side new energy model and a demand side load classification regulation and control model according to the integrated energy system optimization scheduling demand; establishing a price regulation and control model according to the uncertainty of the new energy output and the randomness of the energy consumption load; with an economical operation strategy as a scheduling target, a price regulation and control model is established by using a supply side new energy model, a demand side load classification regulation and control model, uncertainty of new energy output and randomness of an energy consumption load, and a comprehensive energy system optimization scheduling model with new energy supply as a main part is constructed. Related constraint conditions are constructed based on system model parameters; establishing a carbon quota transaction and green certificate transaction optimization scheduling model under a carbon emission accounting mechanism based on an economical operation strategy by taking an environment-friendly operation strategy as a scheduling target; and establishing a model optimization scheduling system optimization strategy according to the system model parameters and the new energy output condition. According to the method, optimal scheduling of the comprehensive energy system based on new energy is established, particularly hydroelectric generation is used in the optimal scheduling of the system, uncertainty of energy output and energy consumption load is considered, analog simulation of data of a certain region is realized by utilizing Matlab, and the optimal scheduling of the comprehensive energy system is realized. The optimized scheduling of two energy market strategies of carbon quota transaction and green certificate quota transaction under the conditions of economical and low-cost operation and environmental protection is realized.

The invention relates to a multi-energy complementation strategy evaluation method, device and equipment and a storage medium, and the method comprises the steps: obtaining a to-be-evaluated multi-energy complementation strategy for a target new energy and a hydroelectric generating set, and building a corresponding multi-energy complementation system scheduling model, a plurality of energy types related to the multi-energy complementary system scheduling model comprise target new energy, hydroelectric power generation and external energy; solving the external output level of the external energy based on the preset output guarantee probability of the target new energy, wherein the preset output guarantee probability is used for representing the probability that the output level reaches the target output level; calculating the sensitivity of the external output level of the external energy to the output guarantee probability of the target new energy based on a model solving result; and determining an evaluation result of the multi-energy complementation strategy based on the sensitivity. By calculating the sensitivity of the external output level of the external energy to the output guarantee probability, the dependency of the multi-energy complementary strategy on the external energy can be evaluated, and subsequent strategy optimization is facilitated.

The invention relates to the technical field of hydroelectric power generation equipment state monitoring, in particular to a hydropower station equipment operation and maintenance risk assessment method and system based on big data analysis, and the method comprises the steps: 1, carrying out the fusion collection of specific data of a hydropower station; step 2, hydraulic-mechanical coupling feature extraction; step 3, dynamically constructing a fault propagation network; and 4, generating a dynamic risk field and outputting a decision: injecting the coupling factor and the wet pollution index into equipment network nodes, generating risk density distribution through three-dimensional space interpolation, dynamically adjusting a risk threshold in combination with a real-time working condition, and outputting a priority maintenance node and a maximum maintenance time window under a constraint condition. Through deep analysis of a hydraulic-mechanical coupling failure mechanism, an equipment cluster risk conduction path is quantified, and dynamic risk assessment is realized in combination with a big data analysis technology, so that the accuracy, real-time performance and efficiency of hydropower station equipment operation and maintenance are remarkably improved.

The present invention concerns a process and a configuration for producing steel, whereby iron ore oxide material (5) is reduced with a reducing agent (H) in a direct reduction facility (7). The reducing agent (H) is produced by electrolysis of water by means of an electrolysis unit (17).The electric energy necessary for the electrolysis comprises re-generative energy, which is derived from hydropower and / or wind power and / or photovoltaic or other re-generative energy forms (2). The intermediate product (RM) is produced independently of the current demand, if sufficient reducing agent is available.An iron ore oxide material (5) holding thermal energy is charged into the direct reduction facility (7). The thermal energy originates from an iron ore oxide material provider device, such as an iron ore oxide material production unit (3) or a pre-heating apparatus (4).The reducing agent (H) reacts with the iron ore oxide material (5) for reducing the iron ore oxide material (5) into the intermediate product (RM) by utilizing the thermal energy of the iron ore oxide material (5).

The invention discloses an intelligent inspection method and system for an all-terrain self-adaptive hydroelectric AI bionic robot, and relates to the technical field of robots, and the method comprises the steps: constructing a terrain stiffness matrix based on a laser radar, an IMU and a foot end force sensor, and driving a bionic joint group to carry out the intelligent switching of a wheel mode, a six-foot gait mode and an adsorption mode; for equipment defect identification, visible light, infrared and laser point cloud data are fused, and crack / corrosion classification is realized by adopting a contrast learning migration model; a dynamic risk grid map is generated in combination with the equipment fault history, the environment corrosion rate and the task emergency degree, the inspection path is optimized through an MOEA / D-TOPSIS algorithm, and multi-target balance of energy consumption and path length is achieved on the premise that the coverage rate is guaranteed; the positioning system integrates Beidou RTK, UWB anchor points and inertial navigation, and combines a dynamic SLAM enhancement technology, so that centimeter-level positioning precision under strong electromagnetic interference and satellite rejection environments is ensured, and an all-weather and all-terrain intelligent inspection solution is provided for hydroelectric facilities.

The utility model relates to an on-line monitoring system for oil quality of speed regulation equipment of a hydroelectric power plant. An oil outlet guide pipe, an oil inlet guide pipe and a motor pump electrically connected with the oil outlet guide pipe are arranged on a system pipeline or an oil tank of the speed regulation equipment; the motor pump is used for extracting oil in a system pipeline or an oil tank of the speed regulation equipment from the oil outlet guide pipe and returning the oil back from the oil inlet guide pipe; the front-end monitoring sensor is arranged between the oil outlet guide pipe and the oil inlet guide pipe and used for collecting oil quality hardware indexes of the oil quality in real time; the display terminal is electrically connected with the front-end monitoring sensor and used for displaying monitoring data corresponding to the oil quality hardware indexes, and the data server is in communication connection with the display terminal and used for receiving the oil quality hardware indexes sent by the display terminal and determining the operation working condition and state of the speed regulation equipment according to the oil quality hardware indexes. According to the invention, the oil quality hardware index of the oil quality can be detected in real time under the condition of continuous operation of the equipment, so that the sampling period duration of monitoring can be reduced, the collected data volume can be increased, the monitoring timeliness can be improved, and accidents can be avoided and reduced.

The invention relates to the technical field of monitoring, in particular to a hydroelectric power plant surrounding ecological environment monitoring system and method.The hydroelectric power plant surrounding ecological environment monitoring system comprises a water area monitoring module, a land area monitoring module, a remote communication module, a remote server, a data processing module and an early warning module; the method comprises the following steps: selecting a plurality of proper point locations in regions such as a reservoir, a downstream river channel and a diversion canal to arrange water area monitoring modules, and collecting water quality hydrological data and underwater biological activity data; selecting a plurality of appropriate point locations in the reservoir bank hydro-fluctuation belt, the side slope and the surrounding forest land to arrange land area monitoring modules, and collecting soil, vegetation and land biological activity data; the collected data are uploaded to a remote server for storage in real time through the remote communication module; the data processing module analyzes and processes the data, and immediately controls the early warning module to give an early warning to a worker after an abnormality is found; therefore, all-weather automatic monitoring and early warning can be carried out on the surrounding ecological environment of the hydroelectric power station.

The utility model discloses a hydroelectric power station thrust equipment oil quality on-line monitoring system which comprises a control module, the control module is electrically connected with a processing module, the processing module is electrically connected with a driving module, the driving module is electrically connected with a miniature oil pump, and the processing module is electrically connected with a communication module. According to the utility model, hydraulic oil in the hydraulic oil tank is extracted through the micro oil pump, rapid detection of the hydraulic oil is realized, real-time on-site monitoring is realized through construction of the detection module, the detection efficiency is saved, the intermediate duration of detection is shortened, and data information is preprocessed through the processing module, so that the detection accuracy is improved. According to the invention, the data information can be kept accurate, the control module can conveniently carry out calculation processing, analyze and process the abnormity of the hydraulic oil and timely process the hydraulic oil, the detected hydraulic oil can be recycled, and the consumption and waste of the hydraulic oil are reduced.

The invention relates to the technical field of hydroelectric generation, in particular to a tidal power storage pressurization hydroelectric generation system which is internally provided with a machine body, two lifting connecting frames capable of moving up and down are arranged on the upper end face of the machine body in a bilateral symmetry mode, a mounting top plate is fixedly arranged in the middle of the upper end face of the machine body, and two wave pressure storage plates capable of moving left and right are arranged above the left side and the right side of the machine body; the wave pressure storage plate can be influenced by tidal energy and wave energy and can continuously and slowly move towards one side close to the power generation impeller under the impact of external water flow, so that a pressure storage connecting column starts to move towards one side of the center, and a force storage spring and an impact block are extruded; and the impact block can quickly move towards one side close to the power generation impeller under the resilience force of the force storage spring after being in contact and limited, so that water pressure impact is generated, the power generation impeller is accelerated to rotate, and the hydroelectric power generation efficiency and the power generation time of the hydroelectric power generation device can be effectively improved and prolonged at lower cost. And meanwhile, the self-adaptive tide and wave dual-energy utilization advantage is achieved.

The utility model discloses a bulb tubular unit rotating wheel sealing structure, belongs to the technical field of hydroelectric generation, solves the problem that whether water enters a rotating wheel or not cannot be detected, and comprises a bulb head and a draft tube, a main shaft is arranged on the inner wall of the bulb head, and the other end of the main shaft is fixedly connected with the rotating wheel. The outer surface of the bulb head and the outer surface of the rotating wheel are fixedly connected with fixing bases, grooves are formed in the outer surfaces of the fixing bases, and the inner walls of the grooves are fixedly connected with a plurality of sets of capacitive moisture sensors. Due to the fact that the dielectric constant of water is relatively large, when turbine oil in the groove contains moisture, the value of a sensor capacitor in the capacitive moisture sensor can be changed, the sensor can monitor the change of the capacitor in real time and transmit data to monitoring equipment, then workers can be warned conveniently, and the working efficiency is improved. And the groove can be conveniently and timely overhauled and maintained.

Conventional hydropower plants require significant hydrostatic head to produce sufficient power. As such, there is a need for efficient hydropower plants that may be utilised in sites having a low hyd

The embodiment of the invention relates to the field of hydroelectric generation, in particular to a hydropower station power generation equipment safety monitoring method based on generator set temperature monitoring. One specific embodiment of the method comprises the following steps: collecting sensing data of a generator set; constructing a multi-modal feature extraction model of the power generation equipment; inputting the sensing data of the generator set into the multi-modal feature extraction model to obtain multi-modal feature extraction data; performing safety monitoring processing on the multi-modal feature extraction data to generate equipment safety data; and scheduling the hydropower station power generation equipment based on the equipment safety data. According to the embodiment, the operation safety and the operation and maintenance efficiency of hydropower station equipment can be improved.

The present invention discloses a pricing method and system for cascade hydropower interprovincial power transmission that responds to the peak-shaving demand of the receiving power grid, and belongs to the field of hydropower generation. First, the peak, flat and valley periods of electricity prices in the receiving provinces are divided, and a feasible set of time-of-use electricity price schemes is formulated; then a cascade hydropower multi-province power generation model is established; finally, the time-of-use electricity price scheme is input into the cascade hydropower multi-province power generation model, and after calculating the 24-hour external transmission output curve of the cascade hydropower, two evaluation indicators, namely the power purchase cost and the peak-shaving effect of the receiving power grid, are calculated. The time-of-use electricity price scheme is optimized through a non-dominated sorting algorithm, and the indicator weights are set and a preference function is defined. The scheme with the smallest preference function value is selected as the optimal time-of-use pricing scheme. Under the condition of meeting the maximum power generation income, the present invention effectively promotes its response to the peak-shaving demand of the receiving power grid, realizes the balance of spontaneous power generation between the sending end and the receiving end at the hourly level, and the power purchase cost of the receiving power grid is controllable, thereby achieving a win-win situation for the power plant and the receiving power grid.

The invention discloses an operation simulation method, device and equipment of an integrated energy base, and relates to the technical field of planning design and operation scheduling of the integrated energy base. In the method, on one hand, a hydroelectric output function of a hydroelectric power station is divided into a plurality of linear equations, so that a quadratic function problem can be converted into a linear function problem, and the linear equation is divided into a plurality of linear equations; and furthermore, in the operation process of simulating the integrated energy base based on the hydroelectric output function, the solving difficulty can be greatly reduced, and the simulation difficulty of the integrated energy base can be further reduced. On the other hand, the output weight of the hydroelectric power plant is determined based on the output fluctuation coefficient and the power abandoning coefficient of the wind and light power plant, and the generating capacity of the hydroelectric power plant is corrected based on the output weight. Therefore, the finally obtained generating capacity of the hydroelectric power station can be relatively accurate, and the problem that the hydroelectric power station has poor compensation and regulation performance on the wind-solar power station can be solved.

The invention relates to the technical field of virtual power plants, and discloses a virtual power plant optimal scheduling method and system based on multi-type energy storage collaboration, which solves the problem that the existing virtual power plant cannot accurately predict the generating capacity, and comprises a scheduling system body, an energy storage subsystem and a power generation system, the energy storage subsystem is connected with the dispatching system body, and the dispatching system body and the energy storage subsystem are both connected with the power generation system. The dispatching system body is composed of a centralized control platform, a solar power generation regulation and control module, a wind power generation regulation and control module, a hydropower station power generation regulation and control module, a thermal power generation regulation and control module, a power consumption prediction subsystem, a data analysis module, an adjustable load integration module and an optimal configuration module. By means of the scheduling method and system, accurate prediction of wind energy, solar energy and hydroelectric power can be achieved, and electric energy scheduling is more refined.

The invention belongs to the technical field of power utilization systems, and particularly provides an optimal scheme selection method for a power utilization system of a hydroelectric power plant, which comprises the following steps: constructing an equipment fault probability model considering decision dependence uncertainty, determining a current operation decision according to a direct current power flow model, then calculating the equipment fault probability according to the equipment fault probability model considering the decision dependence uncertainty, and then generating a random outage event; constructing a four-state reliability model of the auxiliary power equipment; according to the state of the equipment, sampling is carried out by using the four-state reliability model of the station service equipment; screening and rejecting the state that the system does not lose the load by adopting an auxiliary power reliability acceleration algorithm; determining whether the screened system state is a load loss state or not by adopting direct current power flow, and if so, determining the system load cutting capacity; and for different power supply schemes, calculating reliability indexes, and selecting an optimal scheme. According to the method, the reliability of the station service power system under different schemes is calculated, and the optimal station service power arrangement scheme is obtained.

The invention relates to a water collection type pavilion of a landscape garden building, and belongs to the technical field of landscape garden buildings, the water collection type pavilion comprises a pavilion base and a plurality of stand columns arranged on the pavilion base, a positioning plate is fixedly connected between the top surfaces of the plurality of stand columns, and the top surface of the positioning plate is fixedly connected with a flow guide block; a collecting bin is fixedly connected to the bottom face of the pavilion base, a baffle is fixedly connected into the collecting bin, a partition plate is fixedly connected to the left side face of the baffle, a collecting groove is formed in the bottom face of the top plate, and a filter screen is fixedly connected into the collecting groove. According to the water collection type pavilion of the landscape garden building, under the action of a power generator and a first water suction pump, hydroelectric generation is conducted, the power generation efficiency is improved, the use effect is improved, under the action of a collecting tank and a connecting pipe, water is collected and conveyed, operation of workers is facilitated, and meanwhile under the action of a mounting pipe and a water drainage pipe, the water collection efficiency is improved. And a water source in the collecting bin is discharged, so that workers can use the device conveniently.

The application relates to a zero-voltage step-up control method and system for a hydropower plant, which comprises the following steps: controlling the rotating speed of a generator set to a rated rotating speed, and establishing an electric circuit for zero-voltage step-up; based on a zero-voltage step-up starting instruction, controlling an excitation system to gradually increase the voltage of the generator set from zero to a rated voltage according to a preset step-up strategy, and collecting operating parameters of the generator set; judging whether the operating parameters of the generator set exceed a safety threshold; if yes, performing a safety intervention operation; otherwise, after the voltage of the generator set is increased to the rated voltage, ending the step-up and generating test data. According to the application, based on the zero-voltage step-up starting instruction, the excitation system gradually increases the voltage of the generator set from zero to the rated voltage according to the preset step-up strategy, and the operating parameters of the generator set are collected synchronously, so that the control logic of the step-up process is solidified into a system program, and the step-up rate fluctuation and step omission caused by experience difference or negligence in manual operation are eliminated.

The utility model discloses dirt blocking equipment for hydroelectric generation, which belongs to the field of hydroelectric generation and comprises a connecting pipe, a filter plate is fixedly connected between the inner walls of the connecting pipe, the filter plate is in a cone shape with an upward tip end, a cleaning mechanism is arranged at the top of the filter plate and comprises a rotating shaft, and a connecting block is fixedly connected onto the rotating shaft. The connecting block is fixedly connected with a plurality of groups of first scraping plates which are arranged in the circumferential direction, the end parts of the first scraping plates are fixedly connected with second scraping plates, the first scraping plates and the second scraping plates are tightly attached to the outer wall of the filter plate, the second scraping plates are elastic, and the cleaning mechanism further comprises a power assembly and a collecting assembly. The device has the beneficial effects that a first scraping plate is driven by a rotating shaft to drive a second scraping plate to rotate, when the second scraping plate abuts against the inner wall of a connecting pipe, the second scraping plate generates elastic deformation, and when the second scraping plate rotates to a discharging opening, the second scraping plate loses limitation, scraped sundries are bounced into a protection box, and therefore the discharging effect is improved. Therefore, sundries accumulated at the bottom end of the filter plate are cleaned.

The invention discloses a method for evaluating the influence of wind and light absorption on the operation of a hydropower station by considering climate change conditions, which belongs to the field of reservoir dispatching in hydroelectric power generation, and comprises the following steps: carrying out short-term simulation dispatching on a water-wind-light complementary system, and extracting power abandoning results under different hydropower outputs as a wind and light power abandoning loss function with short-term dispatching characteristics; constructing a target function based on the wind-solar power abandoning loss function, and constructing a medium-and-long-term optimization scheduling model of the water-wind-solar complementary system coupled with short-term scheduling characteristics; analyzing the meteorological data to obtain a climate sudden change year and an extreme weather typical year, and according to the medium-and-long-term optimization scheduling model of the water-wind-light complementary system coupled with the short-term scheduling characteristics, calculating to obtain reservoir water level processes and hydropower station output conditions before and after the climate sudden change year and in the extreme weather typical year; and according to the reservoir water level process before and after the climate sudden change year and the extreme weather typical year and the output condition of the hydropower station, evaluating the influence of wind and light absorption on the operation of the hydropower station.

This invention relates to the field of hydropower equipment condition monitoring technology, specifically a real-time monitoring system for the operating status of hydropower units based on multi-point vibration signals. The system includes modules for multi-point vibration signal acquisition, data preprocessing, extraction of spatiotemporal coupling features from multiple measurement points, dynamic updating of adaptive thresholds for operating conditions, status identification, and real-time prediction and early warning of vibration degradation trends. This invention deploys a multi-point acquisition architecture along the vibration transmission path, constructs spatial weight coefficients based on vibration transmission characteristics to extract spatiotemporal coupling features, dynamically updates early warning thresholds by associating with unit operating parameters, achieves advanced prediction of degradation trends through a time-series model, and employs an edge-end collaborative deployment architecture. This improves the accuracy of early anomaly identification and adaptability to changing operating conditions, achieving millisecond-level low-latency real-time monitoring, and is suitable for the safe management and control of the operating status of various hydropower units.

The invention belongs to the field of hydroelectric power generation, and particularly relates to an associated reservoir optimal scheduling method for cascade hydropower stations, which comprises the following steps of: acquiring hydropower station attribute parameters of the cascade hydropower stations and water level and reservoir capacity attribute parameters of associated reservoirs of all stages of hydropower stations, and dividing the cascade hydropower stations into upstream and downstream hydropower stations; the output flow of the upstream associated reservoir of the upstream hydropower station is input into the downstream associated reservoir of the downstream hydropower station to serve as the input flow; according to the flow data of the upstream and downstream associated reservoirs, in combination with the hydropower station attribute parameters and the water level and reservoir capacity attribute parameters, the non-power-generation water consumption variation, the intercepted flood season water inflow and the corresponding annual average power generation amount added value of the cascade hydropower stations are obtained through calculation; and the associated reservoirs of the cascade hydropower stations are dispatched, so that the associated reservoirs operate in an optimized state. Water used for non-power generation is reasonably reduced, the water level is lowered, incoming water in the flood season is effectively intercepted, and large economic benefits are brought to enterprises.