976results about How to "Improve energy utilization" patented technology

The invention discloses a data cooperative transmission method and system for a low earth orbit satellite Internet of Things terminal, and the method specifically comprises the steps: carrying out the classification cutting of environment data, and forming a plurality of environment data subsets; determining a plurality of cooperative sending terminals and respective optimal communication paths between the first low earth orbit satellite Internet of Things terminal and each cooperative sending terminal based on a communication topological structure relationship between the low earth orbit satellite Internet of Things terminals in the ad hoc network; transmitting the environment data subsets with different priorities to corresponding cooperative sending terminals through different optimal communication paths; and according to the environment data subsets sent by each cooperative sending terminal and received by the low-orbit satellite, splicing the environment data subsets and forwarding the spliced environment data subsets to a target terminal or a ground station or a data center. According to the invention, the cooperative effect among a plurality of low-orbit satellite Internet of Things terminals can be fully utilized, and stable and reliable data transmission under the requirements of large data volume and high real-time performance is realized.

The invention discloses a supercritical carbon dioxide energy storage system and method based on porous liquid absorption and storage, and belongs to the technical field of energy storage industry. Comprising a low-pressure storage system for storing low-pressure carbon dioxide; the compression energy storage system is used for compressing the carbon dioxide energy storage working medium; the high-pressure storage system is used for obtaining and storing high-pressure supercritical carbon dioxide; the expansion energy release system is used for high-pressure supercritical expansion energy release and pushing a power generator to generate power; and the heat circulation system exchanges heat with and circulates heat with the compression energy storage system and the expansion energy release system. A porous liquid absorbent is adopted. Permanent gaps for containing carbon dioxide can be provided, the problem of a carbon dioxide low-pressure storage end can be solved, and the system investment cost is greatly reduced. High-density storage of the low-voltage end of carbon dioxide is achieved through a chemical absorption method, the supercritical carbon dioxide compression energy storage system stores excess electric quantity generated by the renewable energy system, expansion power generation is carried out in the power utilization peak, and the peak regulation capacity of a power grid is improved.

The invention relates to the technical field of data processing, provides a strategy selection method for node backup in a multi-domain network, and solves the problem that an existing backup management method cannot effectively deal with complex resource distribution in the multi-domain network. A weighted undirected graph is used for representing a network structure, a multi-domain network model is trained, a random forest algorithm is used for evaluating storage network element node attributes, node priority ranking is determined, reasonable allocation of backup tasks is achieved, and in the task allocation process, node resource use conditions are monitored in real time, and a backup strategy is dynamically adjusted. According to the method, the backup efficiency and the data reliability are improved, the storage and calculation cost is reduced, and the method is suitable for large-scale enterprise cloud environments, financial institution cross-domain data backup and other scenes.

The invention discloses a charge and discharge energy optimization algorithm of an energy storage battery, and relates to the technical field of energy storage, energy storage battery data and external environment data are collected in real time through a sensor and a monitoring device, and then a charge and discharge optimization mathematical model is constructed by combining an LR-MC hybrid algorithm with collected original data; according to the current initial prediction of the energy storage battery state, the external environment and the electricity demand, an initial charging and discharging strategy is made, real-time data is input into the trained charging and discharging optimization mathematical model, updated electricity demand and battery performance prediction are obtained, the charging and discharging strategy is dynamically adjusted, and the energy storage battery performance is optimized. The SOC and the health state of each single battery in the battery pack are detected every other day, the charging priority is confirmed according to the detection result, and the charging sequence is arranged, and the energy utilization rate is greatly improved and the service life of the battery is prolonged through self-adaptive adjustment of the charging and discharging strategy.

The invention discloses a battery cluster SOC equalization control method and device for an energy storage system, and the method comprises the steps: setting two equalization control strategies, and achieving the coarse adjustment and fine adjustment of the SOC; the first equalization control strategy realizes SOC equalization in the battery cluster: coarsely adjusting the system SOC, dynamically adjusting the charging and discharging power of each battery monomer in high and low sections based on the SOC standard deviation of the battery cluster monomer batteries, so that the power of all the battery monomers is generally kept consistent, the SOC balance in the battery cluster is realized, the overcharge or undercharge of the monomer is avoided, the thermal runaway risk is reduced, and the reliability of the battery cluster is improved. The service life of the battery cluster is prolonged; and the second equalization control strategy realizes SOC equalization among the battery clusters: the SOC of the system is finely adjusted, and the charging and discharging power of each target battery cluster is dynamically adjusted based on the standard deviation of the SOC of the target battery cluster, so that the SOC of each battery cluster is basically consistent, the battery clusters are used according to the optimal use mode, and the system is in the optimal working state, thereby improving the service life of the battery clusters of the system.

The invention relates to the technical field of energy storage systems, in particular to an energy storage system charging and discharging strategy optimization method based on big data analysis. The technical problems are that the energy utilization rate and the charging and discharging efficiency of the energy storage system are low due to the fact that a traditional charging and discharging strategy of the energy storage system is difficult to adapt to a dynamically changing power grid environment and user requirements, and the normal operation and the service life of the system are affected due to the fact that key components of the energy storage system are prone to faults due to lack of effective fault prediction and monitoring means. According to the technical scheme, the energy storage system charging and discharging strategy optimization method based on big data analysis comprises the following steps: establishing a time sequence prediction model and a particle swarm optimization model based on a data analysis result; according to the method, the future state and demand of the energy storage system can be accurately predicted through big data analysis and a machine learning algorithm, so that the optimal charging and discharging strategy is formulated; the energy utilization rate of the energy storage system is improved, the charging and discharging efficiency is remarkably improved, and the operation cost is reduced.

The invention provides a magnetic reset and leakage inductance voltage oscillation absorption circuit for a forward converter, a third winding reset circuit and an RCD clamping reset circuit cooperate to reset a transformer, and a third auxiliary winding in the third winding reset circuit is connected in series with a first diode to be connected with two ends of an input power supply; and a second capacitor in the RCD clamping reset circuit is connected to the two ends of the active switch through a second diode. And the other end of the primary winding of the transformer is connected with the first resistor and the positive electrode of the input power supply. The secondary winding is connected with an output circuit and is connected with two ends of a load through a third diode. The RCD clamping reset circuit absorbs peak voltage of leakage inductance, the third auxiliary winding clamps the maximum voltage of a capacitor in the RCD buffer, and magnetic energy is actively reset at the same time. According to the circuit, the energy utilization rate of the system is improved to a certain extent while the leakage inductance peak voltage is absorbed.

The invention relates to the technical field of piezoelectric pumps, in particular to a piezoelectric fluid pump which comprises a fluid excitation unit and at least one opposed plate. The fluid excitation unit is provided with a piezoelectric plate, a substrate, a spacing part and a diaphragm, and the piezoelectric plate and the substrate form an actuator; a pump cavity is formed between the opposed plate and the diaphragm; at least two hole parts communicated with the pump cavity penetrate through the area, opposite to the diaphragm, of the opposite plate, the hole parts are inlets or outlets, at least one hole part is an inlet, the other hole part is an outlet, and at least one hole part is provided with a one-way valve; according to the piezoelectric fluid pump, the diaphragm serves as an excitation source for exciting the fluid in the pump cavity to generate pressure variation, the diaphragm is fixedly connected with the actuator through the spacing part, under the structure, the diaphragm can generate vibration displacement which is several times or even dozens of times that of the actuator due to extremely small vibration displacement of the actuator, and therefore the vibration displacement of the diaphragm is greatly reduced. And the volume variation of the pump cavity during working can be greatly improved, so that the output flow is greatly improved.

The invention discloses an OPSA-ECMS hydrogen fuel hybrid power unmanned aerial vehicle energy management method, and the method comprises the steps: building an unmanned aerial vehicle hybrid power system model employing a hydrogen fuel cell as a main power supply and a lithium ion battery as an auxiliary power supply, and building an energy management system model. According to the method, the OPSA and the ECMS are combined, the minimum hydrogen consumption and the highest efficiency are taken as optimization objectives, the OPSA is adopted to calculate an optimal reference energy distribution scheme in an off-line manner under a known preset route, and the ECMS is adopted to optimize the reference energy distribution scheme in an on-line manner in the task execution process of the unmanned aerial vehicle, so that the optimal energy distribution of the system is realized. According to the method, OPSA off-line calculation and ECMS on-line optimization are combined, the high energy density of hydrogen fuel and the quick response characteristic of the battery are exerted to the maximum extent, and the overall energy utilization efficiency is improved.

The invention relates to the technical field of biochemical engineering and food processing, in particular to a fish collagen extraction process which comprises the following steps: S100, raw material pretreatment; s200, carrying out crushing and enzymolysis pretreatment; s300, carrying out an enzymatic hydrolysis reaction; s400, carrying out solid-liquid separation; s500, carrying out concentration treatment; and S600, drying treatment is carried out. The advanced spectrum analyzer is used for accurately determining the freshness of the fish body, the automatic cutting and ultrasonic cleaning technologies are combined, the quality of raw materials is effectively guaranteed, the enzymolysis reaction conditions are strictly controlled through the high-precision metering pump and the heat exchange system, the enzymolysis efficiency and the product quality are improved, and the production cost is reduced. By adopting a multi-layer composite membrane structure and a specific concentration technology, the efficiency and purity of solid-liquid separation and concentration treatment are remarkably improved, the production process is optimized, the energy consumption and the cost are reduced, pollutants in the production process are effectively removed through application of a plasma cleaning and air purification system, and the product quality is improved. And reliable guarantee is provided for production of high-quality fish collagen products.

The invention discloses a lithium ion battery preheating method and system in a low-temperature environment, and the method comprises the steps: carrying out the experimental data analysis of a lithium ion battery, and constructing a lithium ion battery RC equivalent circuit model and a lithium ion battery thermal model; simulating the lithium ion battery RC equivalent circuit model and the lithium ion battery thermal model to obtain a lithium ion battery simulation data set; performing optimization processing on the lithium ion battery simulation data set through a neural network regression prediction model and a multi-objective optimization algorithm to obtain optimal preheating parameters of the lithium ion battery; and performing optimal preheating treatment on the lithium ion battery based on the optimal preheating parameter of the lithium ion battery to obtain the preheated lithium ion battery. According to the method, the optimal preheating parameters enabling the battery to reach the maximum available energy can be found under different low-temperature conditions, the preheating energy consumption is reduced, and the overall energy utilization rate is improved. The lithium ion battery preheating method and system in the low-temperature environment can be widely applied to the technical field of lithium ion battery treatment.

The invention provides a quick response bistable mechanical gripper of a programmable energy barrier and a use method, and belongs to the technical field of robots. In the gripper, a rigid clamping jaw is fixedly connected to the side of a fixed clamping plate, the fixed clamping plate is rotationally installed at the upper end of a sliding block around a pin shaft, and a flexible buckling beam is arranged in a gap of the fixed clamping plate. The sliding block is fixedly connected with a rack, and the rack is meshed with a gear in the box body. When the motor is driven, the rocker arm pushes the sliding blocks to move along the guide shaft, through transmission conversion of rack-gear-rack, reverse displacement is generated on the sliding blocks on the side, the two sliding blocks achieve reverse movement, the fixing clamping plates rotate around the shaft, and the flexible buckling beam is pressed to be bent. The process can adjust the threshold value of the energy barrier of the bistable structure and change the triggering condition. And after being impacted by an object, the clamping device can jump quickly and actively increase the clamping force. The mechanical gripper has the advantages of being adjustable in energy barrier, simple in structure, fast in response, low in cost and the like, and the problem that an existing mechanical gripper cannot achieve soft triggering and stable clamping at the same time is solved.

The invention provides a fuel cell vehicle heat management system and a control method thereof, and the system comprises a fuel cell circulating water path, a fuel cell cathode system and an air conditioner refrigerating and heating loop, an electric pile, an electronic temperature control valve, a first radiator fan assembly, a second electronic three-way valve, a first plate heat exchanger, a first electronic three-way valve and an electric pile water pump are sequentially arranged on the fuel cell circulating water path, and a deionizer and a first PTC heater are arranged on a pipeline between a water outlet of the electric pile water pump and a water outlet of the electric pile in series; a communicating pipeline is arranged between an upper water outlet of the electronic temperature control valve and a water outlet of the first electronic three-way valve; the fuel cell circulating water path exchanges heat with an air conditioner refrigerating and heating loop through a first plate heat exchanger; the fuel cell cathode system comprises an air compressor, an intercooler, a back pressure valve and a bypass valve. The waste heat of the air compressor can be fully utilized, the energy utilization rate is increased, the system structure is simplified, and the energy consumption of the vehicle is reduced.

The invention discloses a method and a system for improving data interaction efficiency of a hyper-converged architecture, relates to the technical field of hyper-converged architectures, and aims to solve the problems of network bottleneck and storage delay of data transmission among different virtual machines or containers in the conventional hyper-converged architecture. According to the scheme, a data transmission optimization module needs to be introduced into a hyper-converged architecture, so that the data access speed and the network efficiency are improved through data prefetching and an intelligent routing technology; the distributed cache module is used for relieving the pressure of a single node and ensuring accurate synchronization of data through data locality optimization and cache consistency management; the parallel data processing module is used for improving the data processing efficiency through task parallelization and data fragmentation technologies; and the self-adaptive load balancing module is used for dynamically adjusting resource allocation according to the system load and the resource use condition so as to realize the balance of calculation, storage and network load. The method reduces the delay, improves the throughput, and improves the overall performance and resource utilization rate of the system.

The invention relates to the technical field of welding, in particular to an automatic laser solder ball welding method and related equipment for a ball grid array packaging chip, and the method comprises the steps: obtaining a target coordinate of a nozzle corresponding to a nozzle welding position; judging whether the target coordinate meets a preset coordinate requirement or not; if the target coordinate meets the preset coordinate requirement, whether the nozzle welding height needs to be calculated or not is judged; if the welding height of the nozzle needs to be calculated, the welding height of the nozzle is obtained, and the nozzle is lowered to the welding height of the nozzle; based on the target coordinate, controlling the solder ball to fall into a nozzle, and controlling a laser to emit light for welding; judging whether the welding result meets a preset welding requirement or not; and if the welding result meets the preset welding requirement, the current welding process is ended. According to the invention, the welding effect can be improved.

The invention relates to the technical field of compound extraction, in particular to a control method and system for ultrasonic-assisted extraction of high-purity flavonoid compounds. According to the method, preparation conditions are optimized according to material characteristics, then ultrasonic treatment is carried out by adopting a segmented control strategy, meanwhile, the extraction process is tracked in real time through chromatographic detection, process parameters are adjusted in time based on the change trend of an efficiency curve, blindness of a traditional fixed parameter control mode is avoided, and the efficiency is improved. Through intelligent dynamic adjustment, the energy utilization efficiency is remarkably improved, excessive degradation of effective components is effectively prevented, and the control accuracy of the extraction process is improved.

The ammonia decomposition hydrogen production system comprises a first molten salt tank, a second molten salt tank, a molten salt electric heater, a reactor, a heat exchanger and a liquid ammonia tank, the first molten salt tank is filled with a molten salt medium, and the first molten salt tank communicates with the molten salt electric heater; the fused salt electric heater is also communicated with the second fused salt tank; the reactor comprises a heating inlet, a heating outlet, an ammonia gas inlet, an ammonia gas outlet, a heating top plate, a heating bottom plate and a plurality of wall pipes which are sleeved from inside to outside, a shell of the heat exchanger is provided with a hot fluid inlet, a hot fluid outlet, a cold fluid inlet and a cold fluid outlet, and a plurality of heat exchange plates of rectangular structures are arranged in the shell in a stacked mode; the cold fluid inlet is communicated with the liquid ammonia tank, the cold fluid outlet is communicated with the ammonia gas inlet, the hot fluid inlet is communicated with the heating outlet, and the hot fluid outlet is communicated with the first molten salt tank. The ammonia decomposition hydrogen production system adopting fused salt heat supply is high in energy utilization rate, can realize low-temperature, energy-saving and efficient hydrogen production, and can continuously and effectively operate.

The invention provides a multi-module drying machine cluster intelligent control system, method and device and a storage medium. The system comprises a plurality of air compressors and a plurality of drying machines. The air compressors are connected to the air inlet end of the pressure stabilizing air tank in parallel, and the air inlet ends of the dryers are connected to the air outlet end of the pressure stabilizing air tank in parallel. The air outlet ends of the dryers are connected to the air inlet end of the energy storage air tank in parallel; the air inlet end of the modular dryer cluster intelligent controller is connected to the air outlet end of the energy storage air tank, and the target operation state of at least one dryer is adjusted according to the target air parameters of compressed air of the energy storage air tank and the adsorbent filling amount of the dryers. According to the technical scheme, many-to-many parallel connection of the air compressors and the dryers can be achieved, the starting number of the dryers is dynamically adjusted on the premise that all the air compressors are maintained to operate, flexible adjustment of regeneration energy consumption of the dryers in a non-full-load state in a production area is achieved, and the energy consumption utilization rate is increased.

The utility model provides a rope-driven flexible robot for a helicopter test flight test. The rope-driven flexible robot comprises a test fixing table, a flexible periodic pitch changing device and a high-precision total pitch adjusting device. Wherein the test fixing table, the flexible periodic pitch changing device and the high-precision total pitch adjusting device are all fixed in a helicopter cockpit, and the flexible periodic pitch changing device is used for simulating human hands to execute helicopter blade periodic pitch changing operation; the high-precision collective pitch adjusting device is used for simulating a human hand to execute collective pitch changing operation; an output shaft gear of the high-precision collective pitch adjusting device is connected with a collective pitch variable rod, a flexible belt is connected with a driving motor and a variable-size gear disc, and the output shaft gear and the variable-size gear disc are coaxially fixed to be used for outputting variable rotating speed. According to the rope-driven flexible robot for the helicopter test flight test, the test precision and reliability are improved, and meanwhile the personnel safety in the test process is guaranteed.

The invention belongs to the technical field of fuel cells, and particularly relates to a distributed fuel cell power generation system based on solid hydrogen storage, which comprises a box body, a fuel cell module, a gas supply module, an output module and a control module, the invention provides a novel solid hydrogen storage bottle structure which is composed of a heat insulation layer, a composite phase change material filling area and a hydrogen storage area, bionic heat conduction fins are designed between the composite phase change material filling area and the hydrogen storage area, and a high-efficiency hydrogen release angle of a solid hydrogen storage bottle is designed. The control module predicts required power according to a deep neural network through collected data, obtains the relation between the required power and the hydrogen and oxygen flow through building a model, and achieves precise control over the gas flow through sliding mode control and PID control so as to ensure that the power can be matched in real time.

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 discloses a cluster and a communication method, which can present various resources in a pooling manner and decouple each resource pool so as to improve the utilization rate of the resources. The cluster comprises a data processor pool and a plurality of computing resource pools of different types, the data processor pool comprises a plurality of data processors, and any one of the computing resource pools comprises a plurality of computing resources; the data processor pool is connected with the plurality of computing resource pools through a high-speed interconnection bus; the data processor pool is to manage communications between the plurality of computing resource pools and an exterior of the cluster, communications between the plurality of computing resource pools, and communications within any one of the computing resource pools.

The invention relates to three-dimensional modified polyvinyl alcohol hydrogel as well as a preparation method and application thereof, and relates to the technical field of evaporation materials, few layers of FLG and alpha type Bi2O3 are doped in polyvinyl alcohol hydrogel, and Ppy vapor deposition is performed on the surface of the hydrogel to obtain the three-dimensional modified polyvinyl alcohol hydrogel 3D-PVA coated Bi2O3-FLG / Ppy PEMs. After the material prepared by the method is finally optimized, the evaporation rate reaches 4.03 kg / (m < 2 >. H), meanwhile, the stable evaporation rate of 3.06 kg / (m < 2 >. H) is shown in an evaporation experiment for simulating northern sea water polluted by methylene blue dye, and the degradation effect on pollutants in evaporated water reaches 81% in an illumination experiment. The material prepared by the method not only has high evaporation rate in seawater desalination application, but also shows great potential and application prospect in treatment of seawater polluted by organic dye.

The invention relates to the technical field of satellite communication, and discloses a communication method and system for a long-voyage ship based on L frequency band communication, and the method comprises the steps: recognizing the navigation environment and communication demands of the long-voyage ship, recognizing the satellite signals of the long-voyage ship and a communication end through recognizing the frequency band characteristics of a communication frequency band, and carrying out the communication of the long-voyage ship; a signal tracking network of satellite signals is set, signal parameters of the satellite signals are monitored in real time according to the signal tracking network, a quality feedback mechanism of the signal parameters is set, the current signal quality grade is identified, and the signal quality requirements of the long-voyage ship and the communication end are identified based on the current signal quality grade; the method comprises the following steps: setting a multi-beam switching mechanism pointing to beams and a signal locking network of satellite signals, setting a confidential path for transmitting data, and generating a communication result of a long-voyage ship and a communication end in combination with the multi-beam switching mechanism, the signal locking network and the confidential path; according to the invention, the stability and safety of signal transmission can be enhanced, and the communication quality of the long-voyage ship is improved.

The invention discloses a hybrid scheduling system and method for application performance perception, and the system comprises an interference injection and monitoring module which is used for managing and regulating the whole data collection process, so as to obtain key performance indexes of applications on all nodes in a cluster; the performance model module is used for modeling and analyzing the performance of the application by using the collected monitoring data so as to predict the performance of the application under different resource configurations; the reinforcement learning scheduling module is used for automatically adjusting and optimizing a scheduling strategy according to an analysis result of the performance model module by utilizing a reinforcement learning method; the scheduling simulator module is used for simulating various scheduling scenes and application loads in a real environment and verifying and optimizing a scheduling strategy. According to the method, the optimal scheduling strategy can be automatically selected for scheduling under the hybrid scene, the performance and the resource utilization rate of the application can be improved, the QoS of the application is effectively guaranteed, and the overall operation efficiency and stability of the cluster are improved.

The invention discloses a deep-sea polymetallic nodule collecting system based on an autonomous underwater vehicle, and relates to the technical field of deep-sea mining, the deep-sea polymetallic nodule collecting system comprises a deep-sea mining mother ship, an offshore floating storage yard, a conveying vehicle and an ore collecting vehicle, the conveying vehicle comprises an ore storage cabin, and four first rotors are distributed on the side wall of the ore storage cabin; a plurality of ore storage openings are formed in the top surface of the ore storage cabin, and bosses are arranged on the inner walls of the ore storage openings; the mine collecting aircraft comprises a four-rotor main body frame, a second rotor, an anti-collision cylinder and an alternate collecting executing mechanism, the anti-collision cylinder is located in the middle of the bottom face of the four-rotor main body frame, the bottom end of the anti-collision cylinder is in lap joint with the boss, and the alternate collecting executing mechanism is located in the anti-collision cylinder. According to the deep sea polymetallic nodule collecting system based on the autonomous underwater vehicle, the conveying vehicle is used for vertically transporting polymetallic nodules or the mine collecting vehicles, the two sets of paws of the multiple mine collecting vehicles are used for collecting the polymetallic nodules, and the purpose of efficiently collecting and conveying the polymetallic nodules is achieved.

The utility model discloses a dry and wet steam generation structure of an emulsifying pot, the top of a pot body is communicated with a cleaning pipeline, the other end of the cleaning pipeline is communicated with a wet steam generation device and a dry steam generation device at the same time, wet steam is generated in the wet steam generation device, and the generated wet steam is communicated into the pot body through the cleaning pipeline for wet steam cleaning. Wet steam is conveyed to the dry steam generating device through the first communicating pipe, the separating device is arranged in the dry steam generating device to generate dry steam, the dry steam enters the pot body through the cleaning pipeline to be sterilized, the emulsifying pot body can be rapidly and efficiently cleaned through the wet steam generated by the wet steam generating device, the cleaning efficiency is high, no dead angle exists, and cleaning is thorough. Dry steam generated by the dry steam generating device can be used for efficient sterilization, efficient sterilization and disinfection can be carried out, a traditional cleaning and disinfection mode is replaced with a dry and wet steam technology, the cleaning efficiency and effect can be greatly improved, and needed energy consumption is greatly reduced.

According to the system for machining the micro-hemispherical harmonic oscillator based on the carbon dioxide laser, the glass substrate is heated and softened through the carbon dioxide laser, and the energy utilization rate is higher. The horizontal displacement table drives the forming mold to move until the center coincides with the center of a laser spot, so that the positioning accuracy of a processing area is ensured; the diameter of the laser beam is adjusted through the beam expander, it is guaranteed that the diameter of a laser spot is larger than that of the to-be-machined micro-hemispherical harmonic oscillator, and the accuracy of a machining area is guaranteed. The forming mold and the glass substrate are driven to rotate through the rotating table, so that heat distribution of a processing area is relatively balanced, the size deviation of the micro-hemispherical harmonic oscillator caused by unbalanced heat distribution is avoided, and the processing quality of the micro-hemispherical harmonic oscillator is improved. Compared with a traditional method for softening the glass substrate through flame heating, all technological parameters in the machining process can be accurately controlled, the method has the advantages of being easy to operate and high in automation integration degree, and the micro-hemispherical harmonic oscillators high in forming precision and good in batch consistency can be machined.

The invention discloses a power supply system containing a hybrid energy storage and diesel generator two-stage emergency power supply, which relates to the technical field of power supply systems and comprises an alternating current bus, a system power supply, an energy storage device, a diesel generator, an important load and an unimportant load. The system power supply comprises a frequently-used power supply and a standby power supply which are respectively connected to the AC bus through switches; the energy storage device consists of a hybrid energy storage system, a three-phase inverter, a filtering unit and an energy storage switch, and is connected to the alternating current bus; the diesel generator is connected to the bus through the grid-connected switch; the loads are divided into important loads and unimportant loads, and the system has four switchable states of common power supply-energy storage parallel connection, standby power supply-energy storage parallel connection, energy storage power supply and diesel generator-energy storage parallel connection so as to ensure stable power supply.

The invention relates to the technical field of bird trajectory prediction, in particular to a bird trajectory prediction system based on bird detection radar and big data model analysis, which comprises a data acquisition module, a prediction model establishment module and a prediction model updating module, and is characterized in that the data acquisition module acquires the speed, acceleration, trajectory and time point data of a bird; the prediction model establishing module sets a trajectory prediction model by using the data, predicts the bird trajectory of the next time point according to the data of the preorder time point, calculates a prediction error, optimizes the error through a training strategy in the model so as to update prediction parameters, and records the time required for prediction; the prediction model updating module calculates an influence coefficient according to the error and the prediction time so as to adjust and update a training strategy of the model; according to the process, the problem that a traditional system is difficult to dynamically adapt to bird movement changes is solved, the prediction accuracy and efficiency are improved through a self-adaptive training strategy, and a more stable and reliable bird trajectory prediction effect is achieved.