918 results about "Electric energy consumption" patented technology

The invention discloses an electricity consumption real-time monitoring management method and system based on the Internet of Things, and relates to the technical field of power supply energy consumption monitoring. According to the electricity consumption real-time monitoring and management method based on the Internet of Things, multi-source data of a centralized office place is collected through Internet of Things equipment, edge processing is carried out, a digital twin model is constructed to predict energy consumption, an initial optimization strategy is screened, and the strategy is further optimized in a preset scene in combination with a reinforcement learning algorithm; and finally, the strategy is executed through the Internet of Things platform, correction is performed according to feedback, and meanwhile, the residual life of the equipment is predicted for fault monitoring, so that the core problems of insufficient real-time performance, non-intelligent strategy optimization, equipment fault early warning lag in a centralized office space and the like in the traditional energy consumption management are solved; dynamic optimization of power consumption, accurate monitoring of equipment states and advanced intervention of faults are achieved, and the energy utilization efficiency and the system reliability are remarkably improved.

The invention discloses a big data computing power center management system for a digital energy virtual power plant, and relates to the technical field of power dispatching management. The digital energy virtual power plant big data computing power center management system comprises a data acquisition module used for continuously acquiring power management and control time sequence data of a plurality of power areas of a virtual power plant to be managed and controlled; the data analysis module analyzes the power management and control time sequence data to obtain a power productivity index, an electric energy reserve index and an electric energy consumption intensity index of each time period of each region, and calculates a power supply and demand index; according to the invention, scheduling management is carried out on the virtual power plant through the power supply and demand index of the next time period of each power region in the scheduling management module, so that efficient utilization of power resources is ensured; therefore, the power supply and demand balance is improved, the overall efficiency of the power system is improved, and the extra cost caused by insufficient power supply or waste is reduced.

The invention discloses a charging pile electric energy consumption prediction method based on improved deep learning. The method comprises the following steps: preprocessing collected charging pile electric energy consumption data; extracting weather data, time features and special event features from the preprocessed data to form a feature data set; constructing a hybrid deep learning model by using a dynamic sparse connection network and a self-supervised learning deep pseudo-label generator, and generating a preliminary prediction result; a variational information bottleneck mechanism is introduced, and optimized feature representation is generated; an improved tensor fusion network is adopted to realize deep fusion and feature extraction of data; training the new feature representation by using a neural evolutionary strategy optimization algorithm to generate an optimized model; verifying the optimized model through a variational Bayesian verification method; and the reliability and the accuracy of the prediction result in real application are optimized by adopting an adversarial evaluation mechanism.

The invention provides an air conditioner load and electric vehicle energy mutual aid regulation optimization method and system, and the method comprises the steps: adjusting the charging behavior of an electric vehicle in a transformer area according to the power grid demand, and carrying out the mutual aid regulation of the electric vehicle; the electric energy consumption behaviors of respective air conditioning equipment of residents in the transformer area are adjusted, and mutual aid scheduling is conducted on air conditioning loads; and on the basis of electric vehicle mutual aid regulation and control and air conditioner load mutual aid scheduling, collaborative mutual aid optimization is carried out on the electric vehicle and the air conditioner equipment. Through coordinated optimization of the air conditioning load and electric vehicle charging and discharging, the peak-valley difference rate of the power grid is effectively reduced, balanced distribution of the load of the power grid and minimization of the peak-valley difference rate are realized, the stability of the power grid is improved, and the method has important theoretical and practical significance for promoting development of the smart power grid and improving the energy management level of a residential district.

The invention belongs to the technical field of intelligent energy and power system automatic control, and particularly relates to a cross-level collaborative regulation and control system integrating meteorological prediction, power market and equipment state, which comprises a central collaborative controller, a data acquisition unit, a communication network and an execution terminal, the data acquisition unit is used for acquiring meteorological data, power load data, electric energy consumption cost data and equipment operation state data in real time; the execution terminal at least comprises a photovoltaic inverter, an energy storage converter and a charging pile controller; the central cooperative controller is configured to execute three cooperative optimization closed loops, namely, a data fusion and prediction closed loop, a multi-target dynamic optimization closed loop and a multi-time scale control closed loop. According to the system and the method provided by the invention, the problems of real-time performance and accuracy of multi-source heterogeneous data fusion are solved; the balance optimization bottleneck of multiple targets such as economy, stability and environmental protection in the dynamic process is broken through; full-time-scale seamless cooperative control from second-level emergency response to hour-level economic dispatching is realized; and the self-adaptive capability and the overall performance of the system in different application scenes are improved.

The invention relates to the technical field of charging piles, and provides an electric energy metering method and device for a charging pile and a storage medium, and the method comprises the steps: carrying out the real-time data collection of a charging process of the charging pile, obtaining an instantaneous voltage and an instantaneous current, generating an energy density change trend, carrying out the continuous node energy efficiency ratio evaluation, obtaining a feature mapping vector group, and carrying out the calculation of the feature mapping vector group; and performing energy heteromorphic analysis on the feature mapping vector group to obtain an energy deviation index and a load response matching degree, and then calculating an electric energy metering value. The charging process of the charging pile is monitored in real time, and electric energy metering is optimized through fine mathematical analysis and an algorithm model, so that the defects of the traditional technology in coping with a complex charging mode and load fluctuation are overcome, and the defect that the analysis on the electric energy consumption process is lacked in the complex charging mode is overcome; abnormal fluctuation or load response in the charging process cannot be effectively recognized, and the accuracy of electric energy metering is poor.

The invention discloses a photovoltaic energy storage system scheduling method, system and equipment, and the method comprises the steps: firstly, setting test time, dividing the test time into a plurality of time periods, calculating the photovoltaic end generation power of each time period, and calculating the photovoltaic end generation power of each time period; the method comprises the steps of obtaining load end electricity consumption power, exchange power between an optical energy storage system and a power grid end and energy storage end charging and discharging power in each time period, establishing an electric power balance relation, then constructing constraint conditions according to the electric power balance relation, and taking maximum photovoltaic electric energy consumption as a target function to obtain optimal energy storage power consumption. And finally, according to the constraint condition and the objective function, carrying out charging and discharging scheduling on the energy storage end of the photovoltaic energy storage system. By adopting the method, the charging and discharging scheduling of the photovoltaic energy storage system can be optimized, the dependence on the power grid is reduced, the power grid can be balanced, the stability of the power grid can be improved, and the photovoltaic consumption rate and the utilization rate of the photovoltaic energy storage system can be improved.

The present application provides a reverse-type integrated miniature linear servo electric cylinder. An open end of a rotor housing in a power transmission mechanism is fixedly connected to a planetary carrier by means of a coupling, the planetary carrier is directly driven by means of integration of the motor rotor housing and the planetary carrier, and after power transmission via the planetary carrier, an output end is directly driven to achieve linear motion without adding a gear reduction mechanism to a power transmission system of the electric cylinder, thereby significantly reducing the internal space of the electric cylinder occupied by the power transmission mechanism, allowing the electric cylinder to develop to have a more miniaturized and compact structure, saving costs; moreover, the energy utilization rate of the electric cylinder is improved, the electric energy consumption of the electric cylinder is reduced, and relatively good economic benefits can be yielded.

The invention discloses an intelligent UPS power supply control system, and relates to the technical field of UPS power supplies, and the system comprises a first detection module, and when the first detection module detects that the electric energy provided by a power supply control module is lower than a first low-voltage threshold value and is greater than a second low-voltage threshold value, the UPS power supply is started; the first battery module or the second battery module and the power supply control module are controlled by the energy-saving control module to carry out electric energy superposition power supply, so that the electric energy consumption of the first battery module and the second battery module is reduced, and the electric energy of the power supply control module is reasonably utilized; the charging and discharging control module automatically controls the first battery module or the second battery module to carry out balanced discharging and controls the first battery module and the second battery module to carry out series discharging, and the charging and discharging control module can carry out balanced charging control. According to the intelligent UPS control system, the cruising ability of the power supply can be increased, the power supply efficiency of the power supply is improved, the charging and discharging safety is improved, and the service life is prolonged.

The system comprises an electrolysis module, a water supply part and a hydrocarbon fuel supply part, and is characterized in that the electrolysis module comprises a cathode inlet, an anode inlet, a cathode outlet and an anode outlet; the water supply part is sequentially connected with a first water pump, a first steam generator, a first heat exchanger, a first heater and a cathode inlet; the cathode outlet is connected with the cathode inlet through the first ejector in sequence, the cathode outlet is connected with the first heat exchanger, the first condenser and the hydrogen storage part in sequence, and the hydrogen storage part is connected with the first heat exchanger through the first mass flow meter; and the hydrocarbon fuel supply part is sequentially connected with a second mass flow meter, a second heat exchanger, a second heater and an anode inlet. According to the invention, the strong endothermic reaction of hydrocarbon fuel oxidation is utilized to compensate the strong endothermic electrolyzed water reaction of the cathode in situ, so that the electric energy consumption of the electrolysis module is greatly reduced, meanwhile, the operating temperature of the electrolysis module is reduced, and the service life is greatly prolonged.

The invention discloses a precise air conditioner energy-saving control optimization method based on reinforcement learning, which comprises the following steps of: acquiring environmental parameters such as temperature, humidity, thermal load, electric energy consumption and running state of an air conditioner system, generating a vector reflecting the current environmental condition, scoring a plurality of control actions through an improved Banditron perceptron model, and calculating the control parameters of the air conditioner system according to the scored control actions. Selecting an optimal control action through a Thompson sampling mechanism, executing the selected control action, collecting environment feedback information after execution, forming a feedback parameter set, dynamically adjusting parameter values of exploration behaviors through data analysis of a continuous control period, and finally jointly inputting a current environment state and the control action into a decision model. And generating a parameter set for setting operation of the air conditioner. Intelligent optimization and energy-saving regulation and control of the air conditioner control process are achieved.

The utility model relates to the field of excess pressure recoverers, in particular to an excess pressure recoverer for a heat supply system, and solves the technical problems that fluid pressure energy loss exists in a high-low area water supply recovery system of a building, and the heat supply and refrigeration operation cost of a high area is high. According to the technical scheme, the excess pressure recoverer for the heat supply system comprises a water feeding pump head, a water returning pump head, a coupler, an end disc, a rotary disc, a pump shaft, an impeller and a clamping and fixing assembly. The two pump heads are combined with the coupling and the pump shaft to be oppositely connected to form the residual pressure recoverer, the overhigh water return pressure in a high area can be converted into mechanical energy through the rotating impeller in a water supply and water return system, the pump heads of the water pump installed on a water supply pipeline are driven to do work, the electric energy consumption of an original water supply pressure pump is reduced, and the cost is reduced. And the problems of fluid pressure energy loss and high heat supply and refrigeration operation cost of a high area in a high-low area water supply recovery system of a building are solved.

The invention provides a device screen-on control method, a household central control screen, a storage medium and an electronic device.The method comprises the steps that a display screen is controlled to enter a screen-off state, a living body signal is monitored through an infrared sensor, and the display screen comprises the infrared sensor, a camera and a light supplementing lamp; if a living body signal is detected, activating the camera and the light supplementing lamp; obtaining a face image collected by the camera; and lightening the display screen according to the face image. The technical problems of energy waste and light pollution caused by the fact that the display screen is normally on in the prior art are solved, power consumption is reduced, and the service life of the display screen of equipment is prolonged.

The invention provides a high-performance all-solid-state electrolytic tank for producing hydrogen by electrolyzing water and a preparation method of the high-performance all-solid-state electrolytic tank. The preparation method mainly comprises the following steps: preparation of electrode powder: preparing (La0. 6Sr0. 4) 0.95 Co0. 2Fe0. 8O3-delta (LSCF) powder by adopting a liquid-phase synthesis method, and preparing MxCe1-xNyO2 powder by adopting a coprecipitation method for an electrode and an isolating layer; preparing a half cell by adopting a co-casting process; an isolating layer and an oxygen electrode are prepared by adopting a silk-screen printing technology, and high-content water vapor is introduced to realize hydrogen production by electrolyzing water. The prepared high-performance all-solid-state electrolytic tank has efficient water electrolysis hydrogen production catalytic activity and Faraday efficiency, can operate at the medium-high temperature of 650-850 DEG C, and can effectively reduce electric energy consumption and improve energy conversion efficiency.

The invention relates to the technical field of heaters, in particular to a layered fabric heating battery cell, heating battery cell manufacturing equipment and a control system thereof.The layered fabric heating battery cell comprises warp yarn and weft yarn which are composed of conductive composite fibers, and the warp yarn and the weft yarn are woven into the layered fabric heating battery cell through a loom; the conductive composite fiber is prepared from a conductive material and a fiber matrix material in a laminating manner; according to the layered fabric heating cell provided by the invention, through uniform weaving of the flexible conductive composite fibers, heat is uniformly distributed in the fabric, the problem of local overheating or supercooling is avoided, and due to the fact that the resistance of the conductive composite fibers is relatively low, the electric energy consumption required by heating is reduced.

A method for improving the release efficiency of bubbles on the surface of an electrode in high-current water electrolysis hydrogen production belongs to the technical field of hydrogen energy production, and the specific scheme comprises the following steps: step 1, applying pulse voltage to a proton exchange membrane electrolytic cell for water electrolysis hydrogen production, the applied pulse current being 0.5-2A, and the applied pulse voltage being 1.4-1.6 V; and 2, conveying the electrolyte deionized water to an anode chamber of the proton exchange membrane electrolytic cell so as to initiate an oxidation reaction to prepare hydrogen. According to the pulse dynamic electrolysis technology, the PEMWE high-current hydrogen production performance can be improved by adjusting the power supply mode of the power source. Besides, the voltage during the pulse interval period is zero, and the total energy consumption actually only comprises the electric energy consumption within the pulse voltage applying time, so that the pulse dynamic electrolysis technology has more advantages from the energy consumption perspective. The pulse dynamic electrolysis technology is expected to promote bubble release and relieve the polarization phenomenon in PEMWE high-current hydrogen production, and the hydrogen production efficiency and the energy utilization rate of the system are improved.

The invention relates to the field of electric power engineering, in particular to a direct current remote supply communication system based on a cable trench, which comprises a monitoring terminal, a comprehensive monitoring platform, a local module and a remote module, compared with a direct-current remote supply technology in the prior art, the direct-current remote supply device has certain power supply capacity for equipment in a cable trench, but has the defects that on one hand, different power supply requirements of different equipment cannot be met, for example, the power supply requirement of timing starting or manual control starting is needed, and resource waste is caused, and on the other hand, the direct-current remote supply device cannot meet the power supply requirements. The power supply state cannot be sensed, and problems cannot be found in time; the communication system transmits the power supply condition of the direct-current remote power supply equipment to the platform through the network communication technology, can monitor the power supply state in real time, has higher reliability, can check the state of a power supply line through the system platform, can perform early warning in time, improves the fault processing capability, can control power supply according to the requirements of the electric equipment, and improves the power supply efficiency. And unnecessary power consumption is reduced.

The invention relates to the technical field of electro-hydraulic control, and discloses an emulsion pump station frequency conversion control system which comprises an emulsion pump station, a pump station initialization subsystem, a fault detection subsystem, a pressure sensor, a controller, a frequency conversion device, an emulsion pump station switching subsystem, an emulsion pressure setting subsystem and an emulsion main pipeline. The invention further provides an application method of the emulsion pump station frequency conversion control system. The application method comprises the following steps that S1, a program is initialized; the emulsion supply efficiency of the fully mechanized coal mining face of the coal mine can be improved, the liquid supply pressure can be stabilized, the power consumption in the liquid supply system can be reduced, the service life of frequency conversion control system equipment of the emulsion pump station can be prolonged, automatic control of the emulsion pump station can be realized, the labor cost can be reduced, and the working efficiency and reliability can be improved; unnecessary property loss is reduced, and important technical guarantee is provided for efficient and safe production of the coal industry and stable development of the coal industry.

The invention provides a battery process simulation test method, which comprises the following steps of: S1, inputting battery model parameters required by a second-order equivalent circuit and an initial state of a battery for pre-processing to obtain a basic second-order equivalent circuit simulation model, and introducing a series of calibration parameters on the basis of the basic second-order equivalent circuit model to obtain a simulation result of the battery model; errors are dynamically corrected in the simulation calculation process, the problem that an original model is insufficient in precision in the aspects of SOC change rate, voltage response and the like is effectively solved, and the accuracy and reliability of simulation results are remarkably improved. Aiming at complex and diversified process requirements in a battery test scene, a process simulation function supporting multiple process steps and multi-condition logic is constructed, an actual test process can be truly restored, and powerful data support is provided for process debugging, test time prediction and electric energy consumption evaluation.

The invention discloses a factory carbon emission monitoring method and system based on an electricity-carbon calculation model, relates to the technical field of carbon emission monitoring and energy management, and is used for solving the problem that the real-time performance and accuracy of carbon emission monitoring are reduced due to the fact that carbon emission results are mostly presented as coarse-grained indexes. An initial carbon flow distribution matrix is constructed by collecting carbon concentration and electric energy consumption data of distributed energy access points in a plant, a carbon flow model is generated based on a digital twinborn body, a carbon flow weight is dynamically corrected by combining a Bayesian inference algorithm, the total carbon emission amount of the plant is calculated, and a monitoring result is output. According to the method, the spatial precision and the real-time correction capability of carbon emission tracking can be improved, early warning of the carbon emission trend of the key node is realized, and data support and decision basis are provided for a low-carbon operation strategy of a factory.

The utility model belongs to the technical field of seawater treatment, particularly relates to a portable seawater desalination device, and aims to solve the problems that in order to meet the fresh water requirement of long-term navigation, a fresh water generator is installed, the volume of the fresh water generator is large, the weight of the fresh water generator can reach more than one ton, and a distillation method adopted by the fresh water generator is that a vacuum pump is arranged to form a low-pressure environment, so that seawater is easier to evaporate. In order to solve the problems of high energy consumption and high requirements on devices in the prior art, the utility model provides the following scheme: the device comprises a frame, and a seawater tank for containing seawater is fixed at the side end of the frame; a filtering part is arranged in the frame and comprises a sand filter, a carbon filter, a softener and a precision filter, the sand filter is communicated with the carbon filter, the carbon filter is communicated with the softener, and the softener is communicated with the precision filter; solar energy is adopted as an energy supply device, no additional electric energy consumption is generated, and the effect of saving energy is achieved; the portable device is convenient and easy to carry, and the space ratio and the load of the ship can be reduced.

The invention discloses a refrigerator and an operation energy consumption estimation method thereof, and the method comprises the steps: obtaining the current operation state data of the refrigerator in the operation process of the refrigerator, determining the current operation mode of the refrigerator, constructing a feature vector corresponding to the operation mode according to the operation state data, and calculating the operation energy consumption of the refrigerator; and inputting the feature vector into an electric energy reasoning model which corresponds to the operation mode and is obtained through deep learning pre-training so as to estimate the electric energy consumption of the refrigerator in the previous electric energy detection period. By adopting the embodiment of the invention, the corresponding feature vector and the electric energy reasoning model can be determined according to the operation mode of the refrigerator, reasoning calculation of the operation energy consumption is realized by using the operation state data generated in the operation process of the refrigerator, and the accuracy of energy consumption estimation is improved.

The invention discloses a rail-mounted gravity energy storage transportation control system compatible with solid and liquid energy storage media, which is characterized in that a carrier train is loaded from a high-position gravity energy storage station, enters a power station through a transportation rail for power generation and storage, and is transported to a low-position gravity energy storage station for unloading and returning to the high-position gravity energy storage station to form a power generation transportation line; the high-level gravity energy storage station is provided with a solid energy storage unit and a loading water tank, and the loading water tank is used for loading accumulated water in a rainy season reservoir; a liquid level sensor is arranged in the rainy season reservoir, and the master controller controls the high-level gravity energy storage station to select the solid energy storage unit or the loading water tank as a gravity energy storage medium to enter the power generation transportation line according to the water level detected by the liquid level sensor. Solid and liquid energy storage media are compatible, flexible selection of energy storage transportation forms is achieved, natural and cost-free rainwater serves as a gravity energy storage medium, and electric energy consumption caused by low-position unloading in the gravity energy storage transportation and power generation transportation process is reduced.

The invention relates to a new energy extended-range automobile thermal management system and a control method, and belongs to the field of automobile air conditioners. The system comprises a refrigerant loop and a cooling liquid loop, and heat management functions of a passenger compartment, a battery, an electric drive and an engine are achieved through multi-loop collaborative design. The refrigerant loop comprises first to fifth refrigerant loops, a core component is a compressor, the flow direction of a refrigerant is controlled through an electromagnetic valve and a one-way valve, and passenger compartment cooling, battery cooling and waste heat recovery are achieved. The cooling liquid loop works cooperatively with a water pump through a three-way proportional valve, and electric heat dissipation, engine heat dissipation and battery heating are achieved. Through the high coupling design of the refrigerant loop and the cooling liquid loop and the multi-target cooperative control strategy, the comprehensive efficiency and applicability of thermal management are remarkably improved, the electric energy consumption is reduced, the endurance mileage of the vehicle in a pure electric mode is prolonged, and the reliability and maintainability of the system are enhanced.

The invention discloses an elevator control system, an elevator is provided with an energy storage device, the energy storage device stores regenerated energy generated by an elevator driving motor in a regeneration state and provides the regenerated energy to the elevator driving motor in an electric state, and the elevator control system comprises a prediction module used for predicting a passenger flow mode of the elevator; the obtaining module is used for obtaining information of the movable body, the information of the movable body at least comprises the floor where the movable body is located and the mass of the movable body, and the movable body is a device capable of receiving a control instruction of an elevator control system to enter or leave an elevator car; the judging module is used for judging whether the passenger flow mode can enable an elevator driving motor to be in a regeneration state or not; and the control module is used for generating a first control instruction when the judgment result of the judgment module is yes. According to the elevator control system, the cost and the size of the storage device can be reduced as much as possible while the electric energy consumption of the elevator is reduced as much as possible.

The invention relates to the field of automatic control, in particular to a cooperative scheduling control method of a weeding machine in a field environment, which comprises the following steps of: acquiring field and weeding related information by using a camera carried by an unmanned aerial vehicle, a multispectral sensor and different sensor equipment, preprocessing the data, and establishing a weeding operation priority evaluation neural network model; outputting a weeding operation priority evaluation result; obtaining a field weeding operation evaluation information confidence coefficient according to the output weeding operation priority evaluation information, setting a weeding operation evaluation information confidence coefficient threshold value, and calculating a real-time weeding operation speed by combining the field weeding operation evaluation information confidence coefficient with electric energy consumption; and calculating a field weeding efficiency measurement index through the obtained field weeding operation speed and weeding equipment performance, and if the obtained field weeding efficiency measurement index exceeds a weeding reference efficiency threshold range, starting preparation work countdown.

According to the reverse type integrated miniature linear servo electric cylinder, the open end of a rotor shell in a power transmission mechanism is fixedly connected with a planet retainer through a coupler, and the planet retainer is directly driven by adopting integrated treatment of the motor rotor shell and the planet retainer; after power transmission of the planet retainer, the output end is directly driven to realize linear motion without adding a speed reducing mechanism in a power transmission system of the electric cylinder, so that the internal space, occupied by the power transmission mechanism, of the electric cylinder is greatly reduced, the electric cylinder can be developed to a smaller and more compact structure, and the cost can also be saved; and moreover, the energy utilization rate of the electric cylinder is improved, the electric energy consumption of the electric cylinder is saved, and better economic benefits can be generated.

The invention discloses a food desiccant mixing and drying integrated tank which comprises a mixing tank, supports installed on the two sides of the mixing tank, a base installed at the bottoms of the supports, a control box installed on the upper surface of the base, heating equipment installed at the bottom of the mixing tank and a feeding tank installed at the top of the mixing tank. A turnover motor is connected between the rotating shafts in a penetrating manner, and a drying cylinder is arranged in the mixing tank. By arranging the mixing tank, the drying cylinder and the stirring blades, the step of transferring raw materials between equipment can be omitted, mechanical energy of drum-type drying of the drying cylinder is used for mixing and stirring in the mixing tank at the same time, the manufacturing cost of the equipment is reduced, and the production efficiency of the food drying agent is improved; by arranging the heat transmission mechanism, part of heat in the mixed material heating process can be repeatedly used for drying raw materials, the heat energy utilization rate is increased, electric energy consumption is reduced, and the production process of the food drying agent is more environmentally friendly.

A method for predicting electric energy consumption in an electric grid, which employs a linear auto-regressive model to calculate prediction data related to the electric energy consumption in an electric grid. The prediction method ensures high level performances in terms of prediction accuracy and it can be easily implemented even when limited computational and data storage resources are available.

The invention relates to an ocean temperature difference energy driven buoy autonomous power generation hydraulic system and a working method thereof, and belongs to the technical field of hydraulic systems. The power generation hydraulic system comprises a rubber leather bag, an energy accumulator, a pilot control valve bank, a turbine shaft assembly, a power generator, an oil tank, an upper pressure-resistant shell, a lower pressure-resistant shell and an integrated end cover, the upper pressure-resistant shell and the lower pressure-resistant shell are connected in a sealed mode through the integrated end cover, and the pilot control valve bank, the turbine shaft assembly and the oil tank are arranged on the upper side of the integrated end cover; the turbine shaft assembly is connected with a generator, a rubber bag is arranged on the lower side of the integrated end cover, an energy accumulator is arranged in the rubber bag, the space between the energy accumulator and the rubber bag is filled with hydraulic oil, and the space between the rubber bag and the lower pressure-resistant shell is filled with a phase change working medium. The pilot control valve group is designed, the opening pressure is set by an external mechanical spring, an oil way is automatically conducted after the opening pressure is reached, the energy loss between an oil inlet and an oil outlet is extremely small, and the advantages of no electric energy consumption and low failure rate are achieved.