378results about How to "Small fluctuation" patented technology

The invention provides a dynamic load electric energy metering optimization method and system. Belongs to the technical field of data processing, and comprises the following steps: acquiring voltage and current signals in a dynamic load environment in real time by using a high-precision sensor, and discretizing the acquired signals to obtain a voltage value and a current value of a sampling point; and performing statistical analysis on the voltage and current values of the sampling points, extracting key parameters, and constructing a dynamic load feature vector based on the extracted key parameters. By collecting voltage and current signals in real time and carrying out accurate statistical analysis and feature extraction, the electric energy error value can be calculated more accurately, so that the accuracy of electric energy metering is improved.

The invention belongs to the technical field of AC motor transmission control, and relates to a permanent magnet synchronous motor dead zone compensation method based on a nonlinear flux observer. Measuring a motor induction current under a natural coordinate system, and obtaining an alpha-beta axis current through conversion; a non-linear flux observer in an alpha-beta coordinate system is used as a position observation model to obtain an actual rotor position estimation value, a rotating speed ring is formed, and sensorless control of the permanent magnet synchronous motor is achieved; constructing a q-axis voltage disturbance observer by measuring the phase voltage output by the inverter; taking the output of the q-axis disturbance observer as the input of a dead time calculation module to obtain a dead time estimation value; and according to the estimated value, calculating and obtaining a dead-zone compensation voltage, and compensating the output phase voltage of the inverter to realize dead-zone compensation. On the basis of a non-linear flux observer, a position-free control closed-loop structure is constructed, and instruction voltage is corrected, so that the influence of inverter dead time on the permanent magnet synchronous motor is reduced, and the position-free control performance is improved.

The invention discloses a flue gas emission continuous monitoring device and a monitoring method, and relates to the technical field of flue gas emission, the device realizes gas inlet detection and multidirectional gas inlet and gas exhaust of cleaning pipelines and parts through a U-shaped gas inlet pipe, a preheating pipe, a first gas return pipe, a first gas inlet pipe, a gas collection chamber, a condensation pipe, a liquid collection chamber and a second gas return pipe; preheating and heat preservation are achieved through air inlet and air outlet, heat preservation measurement is achieved in the heat preservation shell, pipelines and parts, interference of temperature, oil and particulate matter is effectively reduced, and the monitoring precision is improved; the laser scattering sensor is used for measuring the concentration and the particle size of particulate matters, the optical fiber measuring unit is used for monitoring other components in flue gas, and real-time monitoring and emission component analysis of the flue gas are realized by collecting released liquid and measuring substances dissolved in the liquid; the problems that smoke monitoring is easy to interfere, detection data are easy to fluctuate, and a multi-operation-mode switching technology of a detection device is lacked, so that the smoke monitoring precision is low are solved.

The invention belongs to the technical field of power generation, and discloses a power generation gas turbine grid-connected power allocation technology and device which comprises a power detection module, a data processing module and a power regulation and control module. And the output power of the gas turbine is detected in real time through the power detection module, so that the real-time performance of power allocation is ensured. The power detection has the advantages of single current detection, simplicity, linearity and high efficiency. And accuracy: through the data processing module and a preset algorithm, a power regulation and control instruction can be accurately calculated, and accurate allocation of the grid-connected power of the gas turbine is realized. The power allocation effect is that any proportion can be adopted for adjustment, and the power error is reduced; and stability: the output power of the gas turbine is regulated and controlled through the power regulation and control module, so that the stability of the power grid can be effectively improved. According to the power allocation effect, the problem that power oscillates between the two gas turbines does not occur.

The invention provides an automatic control system and method for vacuum bag film production, relates to the field of intelligent control, and adopts a data processing and coding technology based on deep learning to carry out local time sequence implicit coding of the extrusion speed of an extruder and carry out semantic embedding coding on thermophysical property description of a vacuum bag film material. Therefore, intelligent adjustment of the cooling temperature is realized according to quick query response representation between the material thermal physical property semantic embedding feature and the local time sequence implicit coding feature of each extrusion speed. Therefore, the description about the thermal physical characteristics of the material input by the user can be directly processed, and manual parameter adjustment is not needed, so that the system can adapt to new materials or formula changes, and the operation difficulty and the error probability are reduced. Meanwhile, real-time dynamic adjustment of production process parameters can be achieved, control precision is improved, fluctuation of key parameters such as temperature is reduced, and stability and consistency of products are guaranteed.

The invention belongs to a timing method, and provides a Beidou and long wave fusion timing method and a related device aiming at the technical problems of satellite denial or failure, poor long wave timing result precision and large jitter of the existing timing method for fusing a Beidou satellite navigation system and a long wave navigation technology. The method comprises the following steps: acquiring a long-wave time difference data set and a Beidou time difference data set, performing abnormal value processing on long-wave time difference data and Beidou time difference data, performing correction processing on the long-wave time difference data, reducing fluctuation of the long-wave time difference data, eliminating abnormal values, and ensuring the accuracy of subsequent timing; and fusing the long-wave time difference data and the Beidou time difference data at each moment in sequence by adopting an extended Kalman filtering algorithm, and finally completing timing according to a fusion result set. The advantages of a Beidou satellite navigation system and a long-wave navigation technology are fused, and the fusion timing precision and the timing stability of the system can be remarkably improved by adopting the extended Kalman filtering algorithm.

The invention provides a distributed photovoltaic energy efficiency dynamic monitoring method based on time sequence analysis, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: deploying an edge calculation node, regularly receiving the electrical operation parameters of a photovoltaic inverter, and recording a monitoring node; predicting photovoltaic output power according to the electrical operation parameters, and obtaining predicted output power; analyzing the power supply log, obtaining actual output power under the monitoring node, forming energy efficiency analysis data based on the monitoring node, the predicted output power and the actual output power, and storing the energy efficiency analysis data in an energy efficiency analysis database; performing power prediction deviation analysis by using the energy efficiency analysis database, and constructing a time period-deviation comparison table; and when grid-connected scheduling is carried out on the distributed photovoltaic equipment, power output compensation is carried out based on the time period-deviation comparison table. The technical problem that the power prediction precision is insufficient due to the fact that a traditional time sequence analysis method lacks accurate analysis for different time periods is solved, and the power prediction accuracy and the grid-connected dispatching quality are improved.

The invention discloses a coupling type optimization method and device for energy storage frequency modulation of a super capacitor and a storage medium, and belongs to the technical field of wind power generation. The method provided by the invention integrates the polynomial coupling technology, and aims to gradually approach the dynamic change of the real wind speed, thereby improving the accuracy of wind speed prediction. A random sequence is generated through multiple iterations, an original wind speed sequence can be well fitted, the closest wind speed data is screened out, and a solid data foundation is laid for subsequent wind speed prediction; activation processing is introduced, so that the nonlinear expression capability of prediction data is enhanced, and the prediction accuracy is further improved; meanwhile, the first predicted value sequence and the second predicted value sequence are activated, the advantages of polynomial prediction and neural network prediction are combined, and the comprehensiveness and accuracy of wind speed prediction are improved.

The invention provides a wind power high-voltage direct-current power transmission system, and belongs to the technical field of power transmission. The system comprises an intelligent wind driven generator, a modular converter station, an intelligent temperature monitoring direct current transmission line, a power grid friendly intelligent inverter station, and an intelligent regulation and control system integrating real-time data analysis, dynamic control and fault self-diagnosis. Through a maximum power point tracking algorithm and a self-adaptive control strategy, the system optimizes the wind energy conversion efficiency. The intelligent regulation and control system predicts wind power output by using a deep learning model and a random forest algorithm, dynamically adjusts voltage and current, and quickly responds to power grid demand changes. In addition, the system can quickly position and isolate faults, start a standby path and ensure continuous power supply. By adopting the wind power high-voltage direct-current power transmission system, the intelligent level of wind power high-voltage direct-current power transmission is improved, and the power transmission efficiency and the system stability are enhanced.

The invention relates to the technical field of hybrid energy storage control strategies, and discloses a hybrid energy storage progressive model prediction control method based on optimal duty ratio tracking. The method comprises the following steps: setting a front-end MPC and a rear-end MPC which are used for controlling the on-off of a switching tube in a system, selecting an optimal duty ratio output corresponding to the minimum cost function of the front-end MPC, driving the on-off of the corresponding switching tube to stabilize the bus voltage, calculating the real-time optimal reference power of hybrid energy storage at the next moment, and taking the real-time optimal reference power as the real-time optimal reference value of the rear-end MPC after passing through a high-pass filter; and selecting the corresponding optimal switching state output when the cost function of the rear-end MPC is minimum, and driving a corresponding switching tube to be switched on and switched off, so that the output power of the super capacitor tracks a real-time optimal reference value given by the front-end MPC in real time, the power fluctuation is stabilized, and the bus voltage is further stabilized. According to the invention, the fluctuation of the bus voltage is smaller under the fluctuation of the load power; and optimal reference power transmission under model prediction control is considered, so that the control performance is optimized.

The invention belongs to the technical field of plant drinks, and particularly relates to kidney-tonifying and bowel-relaxing cistanche tea and a preparation method thereof. The herba cistanche tea is prepared from the following raw materials in parts by weight: 30 to 40 parts of herba cistanche, 10 to 15 parts of fructus lycii extract, 10 to 12 parts of semen cassiae extract, 10 to 15 parts of fructus cannabis extract, 8 to 12 parts of radix polygoni multiflori extract, 8 to 10 parts of rhizoma dioscoreae extract, 3 to 5 parts of honey powder, 5 to 10 parts of maltodextrin, 2 to 3 parts of beta-cyclodextrin, 2 to 3 parts of antioxidant, 0.1 to 0.15 part of mixed enzyme and 2 to 3 parts of zymophyte. According to the preparation method disclosed by the invention, the flowers and the rhizomes of the cistanche are subjected to pretreatment and enzymolysis treatment in different modes, and then fermentation is performed under the same microbial fermentation condition, so that respective advantages of the two parts of raw materials are fully played, beneficial components are released and retained to the maximum extent, and the functionality and the quality of the product are remarkably improved through synergistic fermentation.

The invention relates to an ion regulation inhibitor for preventing slurry from covering, application and a lepidolite ore beneficiation method. The invention discloses an ion regulation inhibitor for preventing slime from covering. The ion regulation inhibitor comprises a starch inhibitor, a sodium salt inhibitor and a metal ion regulator. The invention provides application of the ion regulation inhibitor capable of preventing the slime from covering in ore dressing of lepidolite ore. The invention provides a beneficiation method of lepidolite ore. The beneficiation method comprises the following steps: adding water into ore powder of the lepidolite ore to prepare ore pulp; a pH regulator, a collecting agent and the ion regulation inhibitor are added into the ore pulp for roughing, and roughing concentrate and roughing tailings are obtained; the ion regulation inhibitor is added into the roughing concentrate for concentration, and lepidolite concentrate is obtained; and a collecting agent is added into the roughing tailings for scavenging, and flotation tailings are obtained. The problems that an existing lepidolite ore beneficiation method is large in lithium ore loss, low in beneficiation efficiency and complex in process are solved.

The present invention relates to a wind pressure measuring device for measuring the wind pressure in an exhaust duct, which comprises a lever, a counterweight, a pressure sensor and a blade, wherein the counterweight and the blade are respectively mounted on both sides of the fulcrum of the lever so that the lever is in a balanced position, the blade is horizontally arranged in the vertical section of the exhaust duct and is provided with a plurality of through holes, and the pressure sensor is mounted between the fulcrum and the exhaust duct, with its sensing surface facing downward and in contact with the lever. The blade with through holes can effectively reduce the positive impact and swirl impact of the fluid, reduce the fluctuation of the blade, obtain a relatively stable pressure signal, and thus achieve a good automatic exhaust control effect, and the pressure sensor is located outside the exhaust duct, which greatly reduces the maintenance cost and improves the use efficiency.

The invention discloses an overvoltage protection circuit of a switching power supply and the switching power supply, the switching power supply comprises a main power tube and a freewheeling tube, and the main power tube enables the switching power supply to provide an output voltage for a load according to an input voltage through periodic connection and disconnection. The overvoltage protection circuit comprises a sampling and holding unit for sampling an input voltage within a follow current time of a follow current tube and then holding a sampled signal to obtain a sampling and holding signal; and the overvoltage control unit is used for performing overvoltage protection on the switching power supply according to the duty ratio, the sampling holding signal and the characterization voltage of the overvoltage protection threshold. The overvoltage protection circuit provided by the invention samples the input voltage during the follow current period, so that the information of the output voltage is obtained according to the sampled input voltage and the duty ratio, overvoltage protection is carried out when overvoltage is output, and the overvoltage protection circuit is applicable to the specific situation that the main power tube in the switching power supply is connected with the input voltage or the reference ground, and is wide in adaptability and low in cost.

The invention relates to the technical field of electronic engineering, and discloses a concrete production line process flow on-line monitoring management system, which comprises a proportion detection module used for calculating the batching proportion of raw materials, constructing the proportion detection module of the raw materials, and detecting the actual proportion data of concrete; the data acquisition module is used for configuring a sensor network of the technological process to acquire technological parameters of the technological process and concrete image data in real time; the final strength module is used for analyzing the final strength of the concrete; the production quality analysis module is used for respectively extracting workability characteristics and uniformity characteristics of the concrete image data, analyzing the workability of the concrete, analyzing the uniformity of the concrete and analyzing the production quality of the concrete; and the technological process optimization module is used for determining control optimization parameters of the technological process and executing optimization control of the technological process. The precise effect of online monitoring and management of the concrete production line technological process can be improved.

The invention discloses a display panel and a display device. The display panel comprises a driving circuit; the driving circuit comprises N levels of shift register units which are cascaded with each other. In the same shift register unit, an initial control module is used for at least receiving an input signal and a first clock signal and controlling signals of a first initial node and a second initial node; the stage transmission output module is used for at least receiving a signal of a first initial node, a signal of a second initial node, a first level signal and a second level signal, and controlling a stage transmission signal; the driving control module is used for at least receiving a signal of a first initial node, a signal of a second initial node and a driving control signal, and controlling a signal of a first driving node; the driving output module is used for at least receiving a signal of a first driving node, a signal of a first initial node, a first level signal and a second level signal, and controlling a gate driving signal of a driving output node; the active auxiliary module is used for controlling a signal transmission path of the first level signal to the driving output node.

The invention provides a photovoltaic energy storage scheduling management system. The photovoltaic energy storage scheduling management system comprises a data acquisition module for collecting real-time data; the operation simulation module simulates a future working state based on the data; the decision making module generates a charging and discharging scheduling strategy; the execution module controls the photovoltaic module to interact with the energy storage battery according to the strategy; according to the invention, through real-time data acquisition and accurate simulation and prediction of a working state, an optimal charging and discharging strategy is formulated, and the energy utilization efficiency is improved; an intelligent scheduling mechanism automatically adjusts strategies according to meteorological conditions and load consumption, and the response speed, flexibility and reliability of the system are improved; the automatic execution module reduces human intervention, simplifies the maintenance process and improves the stability and availability of the system; the efficiency and economical efficiency of a photovoltaic system are improved, application of renewable energy sources is promoted, and sustainable development of the environment is promoted.

The invention relates to the technical field of mechanical arm intelligent control, in particular to a control method of a robot system, in the control method, by obtaining and analyzing torque signals of mechanical arm joints and connecting rods and combining real-time operation data, the influence of each stress source in various operation states can be accurately evaluated, and deep understanding of the mechanical arm operation environment is formed. On the basis of the data decomposition mode, the node energy release characteristics can be refined in different states, the future energy response trend can be predicted, and pre-adjustment measures can be conveniently taken before stress changes. And through weighted calculation of a driving force correction value of the joint, the driving force adapts to the real-time change of stress distribution, so that the accurate regulation and control level of the driving force is improved.

According to the regional load aggregator-oriented transformer area user flexible load scheduling method provided by the invention, the temperature control load, the electric vehicle, the energy storage equipment and the like are optimally scheduled, so that the balance of a power grid and the maximization of economic benefits are realized. The method comprises the following steps: predicting the load demand of a transformer area user through modeling analysis, and formulating an optimal scheduling strategy in combination with external signals such as real-time electricity price and environment temperature; a home energy efficiency management system (HEMS), a vehicle-to-power grid (V2G) control platform and an intelligent energy management system (EMS) are utilized to dynamically dispatch and control various flexible loads. The implementation result shows that the method effectively reduces the electric charge of the user, improves the revenue of the aggregator, improves the stability of the power grid, and has remarkable practicability and popularization value.

The invention discloses an electric vehicle charging aggregation and adjustment prediction method and system based on integrated clustering, and relates to the technical field of electric vehicle and power grid interaction, and the method comprises the steps: collecting the charging demand data of an electric vehicle, carrying out the classification and clustering, and integrating different types of clusters; analyzing the charging demand data and screening outlier samples; establishing an electric vehicle charging load characteristic index model, and predicting a charging load curve of the electric vehicle; evaluating the theoretical potential of the electric vehicle participating in the demand response; and optimizing a power grid access mode based on the electric vehicle charging load characteristic index and the theoretical potential of the demand response. The method integrates the advantages of a plurality of clustering algorithms, and improves the accuracy and reliability of data analysis. By integrating different clustering algorithms, the respective defects can be complemented, so that the clustering precision is improved, the effective identification of the user behavior and the charging mode of the electric vehicle is ensured, and the stability of the overall clustering result is improved.

The utility model provides a detection circuit and a detection system which are applied to the technical field of power electronics, the detection circuit is used for testing a current sensor in an inverter, the detection circuit comprises a main control circuit and the inverter, the inverter comprises two or more inverter bridge arms, and the main control circuit is connected with the inverter bridge arms. Each inverter bridge arm comprises a first power switch device and a second power switch device which are connected in series, the input end of the inverter is connected with a detection power source, and the current sensor is connected with the first power switch device of one inverter bridge arm in parallel. The main control circuit is connected with the control ends of the first power switch device and the second power switch device of each inverter bridge arm, controls the first power switch device connected with the current sensor in parallel to be switched off and controls one of the second power switch devices to be switched on, so that the current sensor is communicated with a detection power supply, and the detection power supply is switched off. The inverter is used for converting electric energy of the detection power supply into current, detection current is provided for the current sensor, and the accuracy of a detection result is effectively improved.

The invention relates to the technical field of oil exploitation, and discloses an automatic pressurizing device for oil exploitation equipment, the automatic pressurizing device comprises a mounting plate, an oil pumping pipe is arranged on the mounting plate, the oil pumping pipe fixedly penetrates through the top of the mounting plate, one side of the oil pumping pipe is communicated with an oil pumping branch pipe, and an oil pumping pump is fixedly mounted on the mounting plate. Petroleum can be pressurized by arranging the pressurizing pipe, the box body, the inner frame, the gas pump and the gas pipe, so that petroleum exploitation is more stable, atmosphere pumped by the gas pump can be filtered by arranging the water inlet pipe and the filter water, impurities in the atmosphere are removed, gas pressurization is more stable, and the petroleum exploitation efficiency is improved. The mineralization degree of petroleum can be detected by arranging the mineralization degree tester, water injection and pressurization can be conducted on the petroleum by arranging the water pipe, the limiting rod, the spring and the partition plate, meanwhile, the petroleum with the high mineralization degree can be diluted, the fluidity of the petroleum is improved, and therefore the petroleum exploitation efficiency is higher.

The invention discloses an electric vehicle load prediction method and system. The method comprises the steps of obtaining a load sequence of a target home subscriber bus, and performing first preprocessing on the load sequence; presetting a first feature recognition model, and obtaining target electric vehicle features in combination with the first preprocessing result; and according to the target electric vehicle characteristics, electric vehicle load prediction is carried out in combination with the second load prediction model. The accuracy of electric vehicle charging demand prediction is improved, fluctuation of a power system can be effectively reduced, and resource configuration is optimized. Secondly, the method can process multi-source data in real time, is suitable for charging behaviors of different users, and improves the response capability of a power grid. In addition, the method is helpful for a power operator to carry out reasonable scheduling in peak hours, and the operation cost is reduced. Finally, the load prediction method provides a scientific basis for planning and construction of electric vehicle charging infrastructures, and assists the development of a future smart power grid.

The invention discloses a method for calculating a radiation dose rate based on pulse counting, which is used for filtering the influence of a large pulse generated under the condition of jitter or other interference in a dose rate calculation process on dose rate jitter calculation, and can effectively reduce the dose rate jitter caused by the interference. Meanwhile, pulse increase or decrease caused by normal rapid increase or decrease of radiation is responded in time, dose rate output is rapidly calculated, that is, when the radiation is rapidly increased or decreased, the dose rate change time is shortened, and therefore the current dose rate level is displayed more timely and stably; through the method provided by the invention, the calculation of the dose rate can effectively filter abnormal pulses and reduce fluctuations, and meanwhile, when the radiation intensity changes quickly, quick response can be realized, the timeliness of dose rate calculation can be improved, the stability and accuracy of dose rate output can be ensured, and reliable data support can be provided for safe operation in a nuclear radiation environment.

The invention discloses a non-contact blood pressure measurement method based on a millimeter wave radar and a layered multi-model architecture. The non-contact blood pressure measurement method comprises the steps of data acquisition and preprocessing; pWV estimation is carried out based on a single radar; classification layer processing: performing target classification based on pulse wave explicit features; performing multi-model layer processing: performing blood pressure regression detection based on the target subclass and the model pool; statistical layer processing: performing statistical filtering on a detection result and outputting a final result; a single radar and a layered multi-model architecture are utilized, detection of the pulse wave transmission speed is achieved, the blood pressure detection precision is improved, and meanwhile the system and operation are simplified; the layered multi-model structure enables the detection to be more accurate and has high adaptability.

The present application relates to a terpene resin with controllable molecular weight and a preparation method thereof. A preparation method of a terpene resin with controllable molecular weight comprises: mixing β-pinene with ethylene glycol to obtain a mixture; mixing toluene and a catalyst at ‑5 to 5°C until uniform; dropping the mixture and keeping it warm at 5‑10°C for 1‑3h; removing the catalyst; desolventizing toluene and discharging the material, wherein the mass ratio of toluene to β-pinene is (1‑1.15): 1, the amount of the catalyst is 3.5‑5% of the mass of β-pinene, and the amount of ethylene glycol is 0.04‑0.07% of the mass of β-pinene. The present application can achieve precise control of the molecular weight of the terpene resin, prepare a terpene resin product with stable performance, and meet the high standard requirements of sanitary tape for viscosity, anti-aging and aviation electronic tape to enable it to perform accurately and stably in avionic electronic instruments, and broaden its application range in high-end applications such as medical, food, and aviation.

The utility model relates to the technical field of automatic control of vulcanizing machines, and discloses an automatic control device of a vulcanizing machine, which comprises a main body mechanism and an auxiliary mechanism, the auxiliary mechanism is positioned at the outer end of the main body mechanism, and the main body mechanism comprises a machine body, a control cabinet body and a brake assembly. According to the automatic control device of the vulcanizing machine, the main body mechanism is mounted, the left and right independent parts of the vulcanizing machine are formed, the left and right devices are independent parts, the left and right control cabinets are configured, corresponding operation actions of the left and right molds can be operated respectively, the whole production process of the vulcanizing machine is completed, the mold clamping force control precision is high, and the production efficiency is high. And as the six annular oil cylinders on the left and right are all used for pressurizing the mold, the mold closing force is jointly applied by the oil pump and the pneumatic booster pump, and the pressure transmitter is used for detecting the oil pressure to control the output pressure of the pneumatic booster pump, the high control precision of the mold closing force is ensured, and the practicability of the equipment is effectively improved.

The invention provides an automatic control system for acid mist absorption of industrial waste gas and a use method. The control system comprises a waste gas tower, a fan, a circulating pump set, a liquid alkali pump, a pressure sensor, a pH meter, a liquid level meter, an electric valve, a regulating valve, an operation screen and a central processing unit. According to the acid mist absorption automatic control system for the industrial waste gas, the pressure of the waste gas is obtained through the central processing unit, the working frequency of the fan is adjusted through a preset pressure value, and the rate of the waste gas entering the waste gas tower is stabilized. According to the pH value in the waste gas tower, the addition amount of the liquid caustic soda is adjusted by adjusting the adjusting valve through the operation screen arranged on an operation site or the central processing unit, so that the pH value in the waste gas tower fluctuates smaller, the adjusting range is more accurate, and the comprehensive efficiency of waste gas treatment is improved. Besides, according to the using method of the automatic control system, the control system can be automatically controlled and run according to a preset method, unified management of the system is achieved, and the stability in the standard gas emission process is ensured.

The invention discloses a wind wave and flow comprehensive power generation device based on a novel semi-submersible floating platform. The wind wave and flow comprehensive power generation device comprises a wind power generation device, the semi-submersible floating platform, a wave energy absorbing device, a tidal current energy power generation device and a catenary type mooring device. The wind power generation device is arranged above the semi-submersible floating platform, the tidal current energy power generation device is arranged below the semi-submersible floating platform, and the wave energy absorption device is arranged on a truss supporting structure of the semi-submersible floating platform; the upper end of the catenary mooring is fixed to a buoy of the semi-submersible floating platform, and the lower end of the catenary mooring is fixed to a seabed through an anchor structure. According to the integrated power generation device, integrated power generation is achieved through combination of wind energy, wave energy and tidal current energy, wave energy power generation and tidal current energy power generation are increased on the basis of offshore wind power generation while the ocean utilization area is not increased, the energy output of a unit sea area can be increased, and economic benefits are improved.

The invention relates to an ultra-long air valve alloy and a grinding method and device thereof, and belongs to the technical field of air valve alloy manufacturing. The method comprises the steps that a feeding table and a discharging table are placed on the left side and the right side of the centerless grinding machine correspondingly, and supporting devices used for fixing the air valve alloy are arranged on the sides, away from the centerless grinding machine, of the feeding table and the discharging table correspondingly; the air valve alloy sequentially passes through a feeding table, a centerless grinding machine and a discharging table and is fixed through the supporting device; grinding the air valve alloy by using a centerless grinding machine, wherein the grinding process comprises a rough grinding procedure and a fine grinding procedure which are sequentially carried out; the rough grinding procedure comprises a first rough grinding procedure and a second rough grinding procedure which are sequentially carried out; the grinding amount of each time of grinding is controlled to be the same, it is guaranteed that fluctuation generated by air valve alloy in the grinding process is relatively small, and roundness and straightness are guaranteed. And finally, accurate grinding treatment is conducted, and it is guaranteed that the surface quality and roughness of the air valve alloy meet the requirements.