5103 results about "Liquid state" patented technology

The invention relates to a liquid silica gel injection molding process optimization method and system in the field of intelligent manufacturing, and the method comprises the steps: obtaining mold structure data adaptive to a shrinkage rate, combining geometric characteristics of a complex structure product, adopting a topological optimization algorithm to redesign a parting surface and a demolding path, and determining a lossless demolding mold parting scheme; whether the product damage risk is lower than a preset threshold value or not is judged by simulating stress distribution of the demolding path, and if the product damage risk is lower than the threshold value, final mold manufacturing parameters are generated, and an optimized production process configuration file is obtained; extracting production rhythm data from the optimized production process configuration file, dynamically adjusting the operation cycle of the injection molding machine in combination with the demolding efficiency monitored in real time, and determining equipment parameter configuration for efficient mass production; and generating a control instruction sequence according to the equipment parameter configuration, and transmitting the control instruction sequence to the injection molding equipment and the mold heating system through the industrial Internet of Things to obtain operation state data of the automatic production line.

The invention discloses an intelligent control system for a diamond grain curing sintering furnace, belongs to the technical field of industrial furnace control, and aims at solving the problems that existing sintering control depends on experience, process monitoring is not comprehensive, real-time optimization is difficult to achieve, and product quality consistency is difficult to guarantee. The system comprises a sensor module, a multispectral imaging device, a data preprocessing module, a liquid neural network module, an attention fusion module, a user interaction module, a thermal structure coupling module and a real-time feedback control module. A liquid neural network is used for processing time sequence dynamics, multi-dimensional features such as temperature, humidity, spectrum and mechanical force are fused through a multi-head attention mechanism, and in combination with an internal state result of user input and thermal structure coupling analysis, a real-time feedback control module adopts a closed-loop strategy to calculate optimal firing parameters and generate a control signal; and the actuating mechanism is driven to perform self-adaptive adjustment.

The invention relates to the technical field of particle analysis, in particular to a cyst particle analysis system based on an AI algorithm, and the system comprises a particle image screening module, a boundary feature module, a structure deduction module, a particle recognition module and a performance analysis module. According to the method, the gray contrast and edge change rate analysis is carried out on an encapsulated lubricant image frame sequence in a liquid or semi-solid state to realize accurate positioning of a particle target area, an edge angle continuous change slope sequence is utilized to determine a particle structure boundary sudden change position, and the particle structure edge is deduced according to a boundary trend continuous behavior. The method comprises the following steps: accurately establishing a closed structure path, identifying an adhesion region, carrying out decoupling division on particles by using included angle range and direction consistency indexes, determining the boundary contour of the particles, rapidly and accurately marking a structure dissimilatory aggregation region through the area pixel number and gray gradient characteristics of a structure unit, and improving the particle structure identification precision. And the misjudgment risk caused by particle overlapping and adhesion is reduced.

The invention discloses an autonomous inspection and homeward voyage control method and system for a blow-off pipeline robot, belongs to the technical field of intelligent pipeline detection and robot control, and aims to solve the technical problems of how to realize a stable, reliable and continuous clogging exploration task in a complex blow-off pipeline environment and realize safe self-rescue in an abnormal state. According to the technical scheme, the method comprises the following steps: data dimension reduction: receiving high-dimensional environment and motion state data from a multi-modal sensor, performing real-time dimension reduction on the high-dimensional environment and motion state data by adopting a dynamic principal component analysis method, extracting key features of state information of a robot and internal state information of a pipeline, and constructing a low-dimensional state vector; performing deep reinforcement learning control based on a liquid neural network: modeling dynamic environment state change by using the liquid neural network, and realizing path planning and control in combination with a deep deterministic strategy gradient algorithm; tracing the track; and a return flight strategy based on a graph attention network and reinforcement learning.

The invention relates to the technical field of adaptive control, in particular to an AI-based adaptive phase change liquid cooling fault control method and system, and the method comprises the following steps: obtaining the temperature, flow velocity and phase change state data of a cooling liquid, monitoring the phase change time from a liquid state to a gel state under different flow velocities and temperature conditions in real time, calculating the phase change delay time increment of adjacent periods, and calculating the phase change delay time increment of the adjacent periods. And obtaining a phase change delay time change trend analysis result. According to the method, the phase change time of the cooling liquid under different flow velocity and temperature conditions is monitored in real time, the heat exchange behavior of the cooling agent can be predicted more accurately, the descending trend of the cooling capacity has quantitative analysis capacity, and on the basis of construction of the heat absorption rate time sequence and change rate analysis, the abnormal fluctuation degree of the heat absorption rate is combined. And the pump speed, flow distribution and flow paths of the coolant are dynamically adjusted, the heat dissipation requirements under different working conditions can be met, and the cooling scheme can be adaptively optimized according to the running trend.

The invention provides an agricultural product supply chain traceability data integrity verification method based on machine learning, and belongs to the technical field of agricultural product supply chains. An agricultural product supply chain data acquisition system is established, layering is carried out according to timeliness, a data classification processing framework is constructed, and original data is classified according to complexity; establishing an agricultural product damage prediction model to identify a vulnerable link, and designing a double-layer game optimization model consisting of an upper layer model taking data integrity maximization as a target and a lower layer model taking calculation efficiency optimization as a target, a liquid neural network is adopted to construct a data fusion verification model, liquid neuron state parameters are dynamically adjusted according to the number of supply chain nodes, data timeliness and other parameters, the parameter range of each evaluation matrix is determined through a small-scale verification experiment, and finally integrity verification is executed to calculate and output a comprehensive score result. The technical problems that the agricultural product supply chain traceability data integrity verification accuracy is not high and the calculation efficiency is low are solved.

The invention provides a water working medium quasi-saturated compression high-temperature heat pump system based on an ejector, and belongs to the field of compression heat pumps. The problems that after an existing compression system flows through a throttling valve, the superheat degree of steam exhaust is large due to high-temperature lift compression, and the loss of available energy in the throttling process from condensate to a two-phase region is too large are solved. A multi-stage spraying atomization structure is adopted, a micro-nano liquid drop mist flow with the particle size controllable to be 50-200 nm and the liquid mass fraction adjustable to be 5%-10% is formed before compression, the airflow humidity regulation and control precision is remarkably improved, the quasi-saturation compression process is matched, and the thermal matching performance and the energy efficiency level of a system are effectively improved; a main flow inlet of the jet atomizer is changed into a compressor outlet from a condenser outlet, so that the response speed is increased, and meanwhile the jet atomizer is suitable for a complex variable-working-condition system; or single-stage compression is optimized into a two-stage compression form, so that higher heating temperature and more stable system operation are realized; or liquid from a lower-pressure position is injected, so that the injection capacity is improved.

The invention discloses a hydropower station microcomputer operation and maintenance system and method based on deep learning. The method comprises the following steps: S1, preprocessing to obtain standardized operation data; s2, extracting a hyper-parameter initial value of the improved liquid time constant network framework; s3, extracting a candidate feature set of the standardized operation data to construct a mayfly naiad algorithm search environment, and operating a mayfly naiad algorithm to obtain an optimal feature subset and an optimal hyper-parameter set; s4, training the improved liquid state time constant network model by adopting the standardized operation data to obtain a trained improved liquid state time constant network model; and S5, deploying the trained improved liquid state time constant network model to an online reasoning environment, executing anomaly detection on real-time operation data of the microcomputer protection system of the hydropower station updated in real time, and outputting an anomaly detection result. According to the system, the severity of the fault can be determined while the fault is identified, so that an operator on duty or a system background can quickly make a response strategy.

A multi-scale coupling analysis method for a high-temperature liquid metal and jet water interaction system mainly comprises the following steps as shown in an attached drawing: 1, carrying out geometric modeling and grid division on a liquid metal pool type space, jet water and other pipeline systems, and setting a valve action sequence; 2, setting a coupling boundary, and establishing an IPC communication pipeline; 3, performing steady-state calculation, and mutually providing initial boundaries for overall initialization; 4, a system program is imported into the boundary of the two-dimensional fluid domain, the fluid state in the pipeline under the decompression heating condition is calculated, and boundary information in a result is written into the IPC pipeline; 5, the two-dimensional fluid program reads source items from the system program, thermodynamic parameter distribution of the molten pool is calculated, and boundary information is provided; and 6, judging the action condition of the component at the current moment and repeating the step 4 and the step 5 until the calculation time reaches the end moment. The method provided by the invention can simulate the whole interaction process of liquid metal and jet water and embody the influence of flash evaporation in a critical flow jet boundary and an injection pipeline on jet.

A method for cooling an information technology system, comprising: receiving a flow of at least a subcooled liquid phase change refrigerant; cooling the information technology system by sensible heat transfer in an evaporator, to produce at least gaseous refrigerant; and exchanging heat from the at least gaseous refrigerant from the evaporator to the subcooled liquid phase change refrigerant. The phase change refrigerant may be a hydrofluorocarbon ether having a boiling point of 30-65° C. at 1-12 bar.

The invention discloses an intelligent fault diagnosis method for a thruster of an on-orbit service aircraft, and the method comprises the following steps: building a mathematical model related to the control of the aircraft, and configuring the thruster of the aircraft; making a fault data set, wherein the fault data set comprises the output of a control system under various fault states in the rendezvous and docking process of the aircraft; a liquid neural network is constructed and trained, the liquid neural network comprises an input layer, a liquid layer and a classifier, and the input layer is used for integrating original time sequence data of a control system of the aircraft into a unified input vector; the liquid layer comprises N neurons and is used for carrying out dynamic modeling and time sequence feature extraction on an input sequence; the classifier is used for mapping to a fault category probability through an output layer; the real-time data output by the control system of the aircraft is obtained, the pre-trained liquid neural network is applied to perform fault diagnosis, and the method can perform fault diagnosis in real time.

The invention relates to the technical field of liquid cooling heat dissipation, in particular to a liquid cooling distribution device, liquid cooling heat dissipation equipment and a liquid cooling control method. The liquid cooling distribution device comprises a main liquid supply collecting pipe, a flow adjusting assembly, a multi-channel liquid distribution assembly, a plurality of cooling medium conveying pipelines and a central control unit, a proportioning valve of the flow adjusting assembly is connected into the main liquid supply collecting pipe in parallel, and a liquid distributor of the multi-channel liquid distribution assembly is correspondingly connected with the proportioning valve. A parallel branch of the liquid separator is connected with the liquid outlet node through the reversing valve, and the two ends of the cooling medium conveying pipeline are connected with the liquid outlet node and target heat dissipation equipment respectively; the central control unit achieves accurate distribution and dynamic adjustment of the flow of the cooling liquid by controlling the proportion adjusting valve and the reversing valve, the problem of uneven flow distribution caused by pipeline resistance difference is solved, the flow can be adjusted according to real-time heat loads, and system energy consumption is optimized.

The invention relates to the technical field of optical communication, in particular to a vapor chamber and an optical module. Heat generated by a heat source is absorbed through the lower shell, then heat absorbed by the lower shell is absorbed by the heat dissipation working medium in the steam cavity, the heat dissipation working medium is changed into a gas state from a liquid state after absorbing heat, and the gas-state heat dissipation working medium is adsorbed on the inner surface of the upper shell, is cooled into a liquid state again and returns to the bottom of the steam cavity again. Therefore, heat dissipation of a heat source in the optical module is realized. The interface contact thermal resistances are only between the heat source and the lower shell and between the upper shell and the external environment, the number of the interface contact thermal resistances on a heat transfer path is greatly reduced, the uniform temperature plate is arranged as a part of the optical module, an integrated enhanced heat dissipation structure is formed, the interface contact thermal resistances caused by split design are prevented from being increased, and the heat dissipation efficiency is improved. The heat dissipation performance of the whole optical module is improved, and the heat dissipation requirement of the high-speed optical module is met.

Embodiments of the present disclosure include apparatuses and methods for cooling an electric wheel controller are disclosed. Embodiments include an integrated circuit that controls the rotation of a wheel immersed in liquid coolant. During operation the temperature of the integrated circuit increases and the liquid coolant absorbs heat form the integrated circuit. The heated liquid coolant can then transfer heat to a housing that houses the integrated circuit and liquid coolant. In some embodiments the liquid coolant reaches temperatures that result in the liquid coolant transitioning to a gas and / or vapor. The gas and / or vapor coolant can move to portions of the housing with no liquid and transfer heat to the housing. The gas and / or vapor coolant can cool to a liquid state and move back to the pool of liquid coolant. In some embodiments a heat sink with optional fins can be soldered to the integrated circuit.

The invention belongs to the technical field of refrigeration, and particularly relates to a gas-liquid separator with an auxiliary heating function, which comprises a separation box, and the top of the separation box is provided with a gas inlet pipe and an exhaust assembly; the exhaust assembly comprises a main air outlet pipe and a connecting sleeve, the main air outlet pipe is connected with the oil return assembly through the connecting sleeve, the oil return assembly comprises an oil return head and a rotating sleeve, and an oil return hole is formed in the oil return head. The oil return holes in the top of the oil return head are sparse and small in hole diameter, and the oil return holes in the bottom of the oil return head are dense and large in hole diameter. Therefore, an oil layer at the layered liquid-state bottom can enter the oil return head more easily through the oil return hole at the bottom of the oil return head, and meanwhile, the small-aperture oil return hole at the top of the oil return head can slow down the liquid-state refrigerant at the layered liquid-state top from entering the oil return head. Liquid refrigerants can be prevented from entering the compressor through the oil return head and the main air outlet pipe.

The invention provides a gel-state polymer electrolyte as well as a preparation method and application thereof, and belongs to the field of batteries. The gel-state polymer electrolyte provided by the invention comprises the following preparation raw materials: a polar organic solvent, a lithium salt, a lithium salt additive, a liquid flame retardant, a liquid monomer and an initiator, the polar organic solvent comprises 1, 3-dioxolame and ethylene glycol dimethyl ether; the dosage ratio of the lithium salt to the polar organic solvent is 1 mmol: (0.5-2) mL; the mass of the lithium salt additive is 1.5-5% of the total mass of the lithium salt and the polar organic solvent; the volume of the liquid flame retardant is 10-20% of the volume of the polar organic solvent; the volume of the liquid monomer is 10-20% of the volume of the polar organic solvent; the mass of the initiator is 0.5-2% of the total mass of the lithium salt, the polar organic solvent and the monomer. And Li < + > in the lithium salt is released after the type of the solvent is adjusted, so that the Li < + > transference number and the ionic conductivity are improved.

The invention relates to the technical field of lubricating oil monitoring, in particular to a compressor lubricating oil online monitoring vibration diagnosis method and system, and the method comprises the steps: obtaining vibration signal data of a compressor bearing, a connecting rod mechanism and a piston assembly and lubricating oil medium parameters, arranging the data according to a time sequence, and generating a lubrication working condition time sequence signal data set; according to the method, through time sequence matching of vibration signal data and lubricating oil state parameters, a lubricating working condition time sequence signal data set is established, and in combination with time window division, the bearing vibration frequency offset, the piston transverse impact amplitude and the connecting rod torsional vibration change rate are extracted; and calculating the viscosity drop rate, the temperature change range and the pollutant particle growth rate of the lubricating oil, screening the correlation trend of the bearing vibration frequency offset before and after the change of the lubricating state, and enhancing the lubricating state recognition capability.

The present disclosure relates to an active heat dissipation apparatus including a thermal conduction panel body having a refrigerant flow space in which a refrigerant is stored and flows, in which the refrigerant flow space includes a first refrigerant flow path having a vaporization zone in which the refrigerant changes from a liquid phase to a gaseous phase, and a plurality of second refrigerant flow paths provided in a condensation zone provided in a portion other than the first refrigerant flow path and configured to guide a flow of a liquid refrigerant to the vaporization zone, and in which the second refrigerant flow paths form independent flow paths for the liquid refrigerant by a plurality of inclined guides, which protrude in the refrigerant flow space, have surfaces that adjoin one another and are in surface contact with one another, and are provided straight and inclined toward the first refrigerant flow path so as to be physically separated from the adjacent second refrigerant flow path, and by a plurality of strength reinforcement portions respectively formed on the plurality of inclined guides, thereby significantly improving heat dissipation performance.

The utility model provides a carbon dioxide liquefaction system, a liquid cargo system and a carbon dioxide capture system, and belongs to the technical field of carbon capture. Wherein the liquefying system comprises a compression device, a liquefying device and a storage tank device, the storage tank device receives liquid carbon dioxide output by the liquefying device through a second liquid inlet end and outputs gaseous carbon dioxide in the storage tank device into the compression device, and the compression device recompresses the gaseous carbon dioxide output by the storage tank device and outputs the compressed gaseous carbon dioxide into the storage tank device. Then liquefying by the liquefying device, and inputting into the storage tank device for storage; the gaseous carbon dioxide in the storage tank device is compressed and liquefied into the liquid carbon dioxide again, and the problems that in the liquid carbon dioxide storage process of the storage tank, part of the liquid carbon dioxide in the storage tank is gasified into the gaseous carbon dioxide, loss of the liquid carbon dioxide is caused, and then the liquefaction efficiency of the carbon dioxide is reduced are solved; the loss of liquid carbon dioxide is avoided.

The invention discloses a composite conductive filler, a shielding material and a cable, the composite conductive filler comprises the following raw materials: conductive carbon black, carbon nanotubes and liquid metal, and the mass ratio of the conductive carbon black to the carbon nanotubes to the liquid metal is (80-90): (1-15): (1-12). The composite conductive filler provided by the invention has a ternary synergistic efficient conductive network structure, the contact resistance between the conductive fillers is remarkably reduced, the melt index of the composite conductive filler is greatly improved, meanwhile, micropores of the material can be filled at high temperature, the thermal cycle aging property of the material is remarkably reduced, and the service life of the material is prolonged. The integration of a high-stability conductive network, good processing fluidity and excellent interface thermal mechanical performance is realized. The key technical problem that conductivity, processability and long-term stability of a high-voltage cable semi-conductive shielding material are difficult to consider at the same time is solved, and particularly, the high-voltage cable semi-conductive shielding material can be applied to ultra-high voltage scenes of 110 kV and above.

The invention relates to the technical field of nano metal production, and particularly discloses a crucible liquid level height measuring method and a crucible liquid level height measuring device.The crucible liquid level height measuring method comprises the following steps that a cooling jacket is arranged outside a crucible, cooling water is introduced, after the water amount is stable, the crucible and the cooling jacket are weighed through a sensor, and the crucible liquid level height is measured; obtaining a weight value a; equipment works, evaporation of the metal raw materials is reduced, and a real-time weight value c is obtained; and according to the formula, the liquid level remaining height = ((c-a) / liquid metal density) / crucible bottom area, the liquid level remaining height in the crucible is calculated, and the feeding time is judged according to the liquid level remaining height. The crucible liquid level height measuring device comprises a vacuum container, a crucible and a weighing sensor are arranged in the vacuum container, and the crucible is placed above the weighing sensor. The metal powder manufacturing device has the effect of accurately judging the feeding time when metal powder is manufactured.

The invention discloses a preparation method and application of a safe electrolyte, and belongs to the technical field of electrolytes.The preparation method comprises the steps that a carbonic ester solvent, imidazolyl ionic liquid, a lithium salt and a composite additive are dried and dewatered, the carbonic ester solvent and the imidazolyl ionic liquid are prepared into an electrolyte organic solvent in a water-free and oxygen-free glove box, and the electrolyte organic solvent is added into a lithium ion battery; adding the lithium salt and the composite additive into the electrolyte organic solvent, and uniformly mixing to obtain the safe electrolyte; the safe electrolyte keeps the liquid-state high ionic conductivity characteristic in a normal working temperature interval, liquid-solid phase change is rapidly generated when the temperature of the battery rises to a critical threshold value, a three-dimensional net-shaped solid-state barrier layer is formed, a lithium ion transmission path is cut off so as to restrain the hot chain reaction, meanwhile, lithium fluoride salt with dynamic coordination capacity is introduced into the safe electrolyte system, and therefore the safety performance of the lithium ion battery is improved. A stable oxidation-reduction potential window is maintained in the phase change process, the integrity of electrical performance after high-temperature phase change is ensured, the electrolyte reversibly recovers to be in a liquid state after cooling, and the performance of the battery is basically not attenuated.

An X-ray bulb tube adopting a liquid metal bearing comprises a shell defining a containing cavity, and the shell is provided with a first side and a second side which are opposite in the first direction; the anode target is arranged in the accommodating cavity; the middle shaft part extends in the first direction and is provided with a first end and a second end which are opposite; the outer shaft part is arranged on the first matching section of the middle shaft part in a sleeving mode and can rotate with the middle shaft part as the axis, the second end is located on the first matching section, a non-zero first gap is formed between the inner wall of the outer shaft part and the peripheral face of the first matching section, the first gap forms at least one part of a filling cavity, and the filling cavity is filled with liquid metal; the first matching section, the outer shaft part and the liquid metal in the filling cavity are matched to form a liquid metal bearing; the middle shaft part is sleeved with the supporting part, the supporting part is fixedly connected with the outer shaft part and synchronously rotates along with the outer shaft part, and at least one part of the supporting part selectively abuts against the middle shaft part along with the rotating speed of the outer shaft part. Therefore, the X-ray bulb tube is lower in abrasion and longer in service life.

The invention relates to the technical field of wires and cables, and discloses a fire-resistant cable based on an overhead photovoltaic system, a braided ring in a fire-resistant flame-retardant layer is formed by winding flame-retardant crosslinked polyethylene fibers, air circulation is guaranteed by virtue of a large number of pores among ropes, and when the fire-resistant cable is burnt by flame, high-temperature gas enters the space of the braided ring, and then the braided ring is sealed. On the other hand, the liquid drainage rod is pulled through contraction traction force, the piston disc is promoted to extrude the flame-retardant liquid in the storage sleeve, after the liquid is sprayed out through the liquid drainage holes, one part of the liquid directly acts on a flame area for fire extinguishing and flame retarding, and the flame-retardant effect is achieved. Most of the materials are adsorbed and retained by the porous structure of the braided ring, are gradually decomposed at a continuous high temperature to release flame-retardant gas, and react with braided ring fibers to form a liquid-state and solid-state composite heat-insulating layer to fill tiny pores which are still remained after shrinkage, so that the integrity of a cable circuit at the initial stage of a fire disaster is guaranteed.

The invention discloses a material flow rate control method and system for liquid silica gel injection molding, and the method comprises the following steps: S1, collecting temperature gradient distribution in an injection mold, silica gel initial viscosity and pressure intensity data in a mold cavity in real time through a multi-mode sensor network, and inputting the data into a pre-molding parameter model; s2, based on the pre-forming parameter model; s3, outputting a result according to the dynamic response equation; and S4, dynamically calibrating the regulation and control parameter set through a fuzzy neural network in combination with a closed-loop feedback mechanism, and driving an execution mechanism to adjust the silica gel injection rate based on the calibrated parameters. The industrial bottleneck of liquid silica gel injection molding flow rate control is systematically solved; the cooperative construction of the multi-modal sensing network and the multi-field coupling model breaks through the physical limitation of a traditional empirical formula, and realizes the improvement of the dynamic response precision under a complex working condition.

The invention discloses a paper-based electrode based on liquid metal assisted laser-induced graphene and a preparation method thereof.The paper-based electrode comprises a substrate layer, a functional layer, a conductive layer and a hydrophobic layer which are sequentially arranged, the substrate layer is made of paper, the functional layer is formed by coating liquid metal nanoparticles, and the conductive layer is formed by coating liquid metal nanoparticles. The conductive layer is an electrode formed by a laser-induced graphene technology, and the hydrophobic layer is a fluid control area formed by wax packaging. According to the invention, paper is used as a substrate, liquid metal is combined with a laser-induced graphene technology, surface modification is carried out through eutectic gallium indium (EGaIn), polyimide (PI) and N-methyl pyrrolidone (NMP) composite slurry, and then a conductive electrode pattern is formed on the surface of the paper substrate by using a laser-induced graphene (LIG) technology. The method has the advantages of simple preparation, low cost, environmental friendliness and the like, and the prepared paper-based electrochemical biosensor has excellent conductivity, mechanical flexibility and electrochemical activity.

A liquid cryogen stored in a liquid cryogen space of a closed insulated cryogenic storage vessel is subcooled by allowing it to enter into a conduit disposed in the liquid cryogen space where it is expanded by a pressure reducer in the conduit, thereby producing a cooled biphasic mixture of the cryogen in liquid and vaporized forms. The cooled biphasic mixture has a temperature lower than that of the liquid cryogen in the liquid cryogen space. Heat is transferred across the conduit from the liquid cryogen in the liquid cryogen space to the cooled biphasic mixture.

The utility model provides a liquid carbon dioxide energy storage refrigerating system. The liquid carbon dioxide energy storage refrigerating system comprises an energy storage system, a refrigerating system and a heat circulation system. The energy storage system comprises a low-pressure liquid storage tank, a first throttling pressure reducing valve, a first heat exchanger, a compressor, a second heat exchanger and a high-pressure liquid storage tank which are sequentially connected in a sealed mode. The refrigerating system comprises a high-pressure liquid storage tank, a second throttling pressure reducing valve, a third heat exchanger, a fourth heat exchanger and a low-pressure liquid storage tank which are sequentially connected in a sealed mode. The heat circulation system comprises a cold storage tank, the cold storage tank is coupled with the first heat exchanger through a circulation pipeline, and the cold storage tank is coupled with the fourth heat exchanger through a circulation pipeline. In the low peak period of electricity utilization, the electric energy is stored in the form of high-pressure liquid carbon dioxide. And the liquid carbon dioxide is gasified and cooled through pressure reduction of the second throttling pressure reducing valve so as to provide cold energy. And meanwhile, cold energy generated in the refrigeration process can be stored through the heat circulation system and used for cooling carbon dioxide in the energy storage process.

The invention discloses a liquid carbon dioxide energy storage system and method coupled with LNG cold energy gradient utilization. The liquid carbon dioxide energy storage system coupled with LNG cold energy gradient utilization comprises an energy storage unit and a power generation unit. The energy storage unit comprises an LNG heat exchanger, a low-pressure liquid storage tank, a low-pressure compressor, a first-stage cooler, a high-pressure liquid storage tank, a first-stage heater and a high-pressure expansion machine. The first input end of the LNG heat exchanger is connected with the output end of the power generation unit, and the first output end of the LNG heat exchanger is connected with the input end of the low-pressure liquid storage tank; the output end of the low-pressure liquid storage tank is connected with the input end of the low-pressure compressor, and the output end of the low-pressure compressor is connected with the first input end of the first-stage cooler. The technical problems that in the compressed carbon dioxide energy storage technology in the prior art, gas at the low-pressure end is difficult to liquefy, and LNG cold energy is seriously wasted are solved, efficient conversion and multi-scene application of the LNG cold energy are achieved, and the economical efficiency, flexibility and environment friendliness of an energy storage system are remarkably improved.

The invention provides a low-temperature heat pump liquid impact prevention and supercooling degree strengthening control method based on dual-mode self-adaptive regulation and control, which comprises the following steps: monitoring the bottom temperature of a gas-liquid separator and the change rate of the temperature, and controlling the supercooling degree of the gas-liquid separator on the basis of the difference value between the temperature and a preset safety critical temperature and the difference value between the change rate and a preset minimum temperature rise rate, constructing a liquid impact risk index; based on the liquid impact risk index, the pulse power excitation intensity is calculated, the number of opened spraying channels is selected according to the pulse power excitation intensity, the pulse duty ratio of each channel is adjusted, the high-temperature gas-state refrigerant is controlled to be injected into the bottom of the gas-liquid separator, and the liquid-state refrigerant is driven to evaporate; generating a mode switching score, and generating a mode switching signal when the mode switching score exceeds a mode switching threshold value and the temperature of the gas-liquid separator reaches a safety lower limit; and according to the mode switching signal, a supercooling degree strengthening mode is switched, and the opening degree of an economizer branch electronic expansion valve is adjusted according to the deviation between the current supercooling degree and the target supercooling degree.