136 results about "Hydroelectricity" patented technology

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 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 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 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 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 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 relates to the technical field of wastewater treatment, and discloses a mine wastewater iron-manganese electrolytic treatment system and method based on multi-energy cooperative power supply, and the system comprises a hydroelectric generation module, a solar power generation module, a hybrid energy storage module, an electrolytic treatment module and a control module; the control module can control the hydroelectric generation module and the solar power generation module to be started simultaneously to supply power to the electrolytic treatment module and charge the hybrid energy storage module; the control module can also control the hydroelectric generation module, the solar power generation module and the hybrid energy storage module to be started simultaneously to supply power to the electrolytic treatment module; the control module can also control the hybrid energy storage module to supply power to the electrolytic treatment module. During electrolysis treatment, self power supply can be achieved, and low cost and zero carbon emission are achieved.

The invention discloses a hydropower station optimization scheduling method and related equipment. The method comprises the following steps: obtaining the reservoir level of a target reservoir where a target hydropower station is located and a scheduling time period where a current scheduling period is located; based on an ant colony algorithm, judging whether the scheduling time period is the last but one time period in all time periods, if not, calculating a next path node, updating a preset taboo table, and judging whether one-time optimization iteration is completed or not; if yes, updating the pheromone concentration and returning to the step to judge whether the scheduling time period is the last but one time period in all time periods, if not, calculating a next path node, updating a preset tabu table and judging whether one optimization iteration is completed or not until the number of optimization iterations is larger than a preset threshold value, and obtaining a target scheduling scheme for optimal scheduling of the hydropower station; the target scheduling scheme is used for representing an optimal scheme of optimal scheduling of the hydropower station. The invention can be widely applied to the technical field of hydroelectric generation.

This application discloses a method, apparatus, and equipment for simulating the operation of integrated energy bases, relating to the fields of integrated energy base planning, design, and operation scheduling technology. The method of this application, on the one hand, decomposes the hydropower output function of a hydropower station into multiple linear equations, thus transforming a quadratic function problem into a linear function problem. This significantly reduces the difficulty of solving the problem during the simulation of the integrated energy base's operation based on the hydropower output function, thereby reducing the overall simulation difficulty. On the other hand, based on the output fluctuation coefficient and curtailment coefficient of wind and solar power stations, the output weight of the hydropower station is determined, and the power generation of the hydropower station is corrected based on this output weight. Thus, the final power generation of the hydropower station can be obtained more accurately, thereby solving the problem of poor compensation and regulation performance of hydropower stations for wind and solar power stations.

The utility model discloses a dual power supply manager based on hydroelectric generation and bathroom equipment, and relates to the technical field of bathroom equipment, the dual power supply manager comprises a hydroelectric generation energy supply module, a storage battery module and a processor, the hydroelectric generation energy supply module responds to waterway flow information of the bathroom equipment to generate power supply electric energy and evaluation electric energy, the storage battery module provides power supply electric energy for the processor and provides evaluation electric energy. The storage battery module is used for conducting a supplementary energy supply loop of the storage battery module when the evaluated electric energy is smaller than a preset supplementary electric energy value, and providing supplementary electric energy for the processor; the control unit of the processor responds to electric energy information received by the electric energy input end of the processor and provides working electric energy for a to-be-powered module of the bathroom equipment, and the electric energy information is power supply electric energy or power supply electric energy and supplementary electric energy. According to the utility model, the stable operation of each functional module in the bathroom equipment is ensured by using a dual-power supply mode, and the power supply work of the bathroom equipment is executed in a low-cost, high-practicability and high-stability manner.

The present application relates to a distributed data warehouse construction method for hydropower production equipment health monitoring, comprising: analyzing hydropower equipment data application requirements to determine the analysis theme of the hydropower equipment; constructing a data warehouse layered architecture comprising an original data layer ODS, a detailed data layer DWD, a service data layer DWS, a theme data layer DWT, and a data application layer ADS; establishing a hydropower production equipment data model; and constructing a hydropower production data warehouse physical model comprising dimension tables and fact tables. The present application realizes unified extraction, conversion and loading of various system data sources of the hydropower plant, guarantees data quality, and breaks data silos; realizes centralized and unified management of data, utilizes data backup, data security control and access permission management functions of the data warehouse to ensure data security and reliability; reduces manual workload for data collection, arrangement and management, and improves data processing and analysis efficiency.

The invention discloses a high-water-head sand-containing water flow hydropower station water turbine wear shutdown fault prediction method and an intelligent reporting system, and belongs to the field of hydroelectric power generation equipment state monitoring and early warning. The method comprises the following steps: collecting multi-source heterogeneous data in real time and fusing the multi-source heterogeneous data; a water turbine wear state comprehensive index is constructed, and the overall health degree of a water turbine flow passage component is quantified; predicting the remaining service life based on a physical mechanism and a data-driven fusion model; and dividing and dynamically adjusting a fault risk level, and generating adaptive early warning information. According to the method, sediment characteristic monitoring, vibration spectrum analysis, efficiency calculation and historical maintenance data are fully fused, risk grade evaluation and self-adaptive early warning of abrasion faults are achieved, the accuracy and the real-time performance of water turbine state monitoring are improved, meanwhile, a decision support report is automatically generated through an intelligent reporting device, and the water turbine state monitoring accuracy and the water turbine state monitoring real-time performance are improved. Power station operation and maintenance are promoted to be converted from regular maintenance to predictive maintenance, and the method has good engineering application value.

The invention discloses a pricing method and system for cascade hydropower trans-provincial power transmission quantity responding to peak regulation requirements of a receiving-end power grid, and belongs to the field of hydroelectric generation. The method comprises the following steps: dividing peak, flat and valley time periods of electricity price of a receiving end province, and drawing up a feasible time-of-use electricity price scheme set; establishing a cascade hydropower multi-province power generation model; and finally, inputting the time-of-use electricity price scheme into a cascade hydropower multi-province power generation model, calculating a 24-hour outgoing output curve of cascade hydropower, calculating two evaluation indexes of the power purchase cost and the peak regulation effect of a receiving-end power grid, optimizing the time-of-use electricity price scheme through a non-dominated sorting algorithm, setting index weights, and defining a preference function, and selecting the scheme with the minimum preference function value as the optimal time-sharing pricing scheme. Under the condition that the maximum power generation income is met, response to the peak regulation requirement of the receiving-end power grid is effectively promoted, self-generated power and electric quantity balance of the sending end and the receiving end at the hour level is achieved, the power purchase cost of the receiving-end power grid is controllable, and the win-win situation of the power plant and the receiving-end power grid is achieved.

The utility model provides an anchoring device of a gate-type hoist, which relates to the technical field of hydropower hoisting equipment, and comprises an anchoring embedded part, an anchoring seat, an anchoring shaft, an anti-pulling assembly and a dam body, the anchoring embedded part is provided with a slot, the anchoring seat is provided with a shaft hole, the anchoring shaft penetrates through the shaft hole and then is matched with the slot in an inserting manner, and the anti-pulling assembly is arranged on the dam body. The anchoring base is used for being connected with a portal hoist body, the anti-pulling assembly and the anchoring shaft are coaxially fixed, and the end, away from the anchoring shaft, of the anti-pulling assembly and the anchoring embedded part are both embedded in the dam body. The anchoring device has the beneficial effects that the anchoring device has anti-sliding and anti-overturning capacities at the same time, and the load of equipment is effectively reduced.

The present invention belongs to the technical field of identification of weak equipment in the power consumption system, and specifically provides a method for identifying weak equipment in the auxiliary power system of a hydropower plant, including: constructing a four-state reliability model for auxiliary power equipment; refined modeling of the duration of each state: performing refined modeling on the duration of mutual transfer between the equipment aging failure state, the equipment random failure state, the equipment hidden failure state, and the equipment normal operation state; constructing a reliability evaluation method for the auxiliary power system based on the equipment four-state reliability model and the reliability operation boundary, and establishing the reliability operation boundary by finding the critical state of system load shedding; identifying weak equipment by determining the load shedding sharing amount of each equipment in the auxiliary power system, and the larger the load shedding sharing amount of the equipment, the weaker the equipment. Through this method, weak equipment in the system can be effectively identified to guide power station operation and maintenance personnel to reasonably select and replace equipment.

The invention relates to the field of underground powerhouse information of hydroelectric power engineering, and discloses an underground powerhouse three-dimensional model rapid construction method combining Grasshopper and Revit, comprising the following steps: S1, forming a three-dimensional terrain entity according to terrain contour line data and stratum exploration data, S2, determining a plurality of working planes on the basis of the three-dimensional terrain entity; s3, creating a drainage pipe family sample based on Revit, importing Excel data through Grasshopper to carry out parametric modeling, and generating a drainage hole curtain layout; s4, the drainage hole curtain layout generated by the Grasshopper is introduced into Revit through a Revit plug-in; and S5, performing quality inspection and repair on the constructed three-dimensional entity of the underground powerhouse. By combining Grasshopper and Revit parametric modeling technologies, rapid construction from topographic and geological data to an underground powerhouse structure entity is achieved, the problems that traditional manual modeling is long in time consumption and prone to errors are solved, meanwhile, the spatial precision of stratigraphic stratification, fracture simulation and building arrangement can be kept, and it is ensured that the model can be used for engineering numerical calculation and structural analysis.