1733results about How to "Reduce volatility" patented technology

The invention discloses an intelligent navigation system and method for a ship in the technical field of ship navigation, and the system comprises a sensing module which is used for collecting the surrounding environment information and the state information of the ship in real time; the data processing and fusing module is used for preprocessing, calibrating and fusing the surrounding environment information and the self state information of the sensing module; the route optimization module is used for formulating a navigation plan and a collision avoidance strategy; the navigation control module is used for autonomously controlling the ship according to the output of the ship route optimization module; and the communication monitoring module monitors the navigation state of the ship and the change of the surrounding environment through real-time communication between the ship and a shore-based control center, other ships and a maritime affair management department. According to the method, data of different sensing units are associated, and the associated data are fused, so that mutual verification and complementation can be realized, and the accuracy and reliability of target identification are improved.

The invention relates to a switching power supply control method, system and device and a storage medium, and the method comprises the steps: monitoring the voltage and current of the output end of a switching power supply, and the rate and amplitude of load change, and obtaining the real-time data of the load change; according to the real-time data of the load change, the change of the current load is identified, and a load change mode is obtained; dynamically adjusting operation parameters of the controller according to the load change mode; based on the real-time data of the load change, predicting the load change trend of the switching power supply in real time by using a pre-trained load prediction model to obtain a prediction result, and generating a disturbance compensation signal based on the prediction result; and adjusting the switching state of a switching circuit of the switching power supply according to the control parameter adjusted by the controller and the disturbance compensation signal. The switching power supply has the effect of improving the stability of the switching power supply.

The invention discloses a tool wear loss prediction method based on physical information self-supervised learning under the condition of few marks, and belongs to the technical field of numerical control machining center tool wear state prediction. Comprising the steps of collecting monitoring signals such as cutting force, vibration and acoustic emission in the machining process; carrying out preprocessing operation of interception and Z score standardization on each sample; a mixed residual convolutional neural network tool wear monitoring model is designed, and information fusion and high-dimensional representation extraction are carried out on multi-source sensor signals; pre-training the tool wear monitoring model by using the auxiliary task I, and guiding the model to extract the invariance feature of the signal; according to the method, under the condition of scarce marked data, high-precision prediction and excellent generalization ability of tool wear are realized, the fluctuation amplitude of prediction errors can be effectively reduced, and the stability of a prediction result is kept. According to the method, a small amount of mark data is effectively utilized in model training, the stability and reliability of tool wear monitoring are ensured, and the requirements for monitoring precision and adaptability in actual production are met.

The invention discloses a novel electric power system source network load storage coordinated optimization planning method, and relates to the technical field of electric power system optimization, and the method comprises the steps: S1, building a load prediction model based on various user side load dynamic adjustment data, and improving the prediction precision, S2, determining parameters and constraint conditions of each link of source network load storage of an electric power system, s3, carrying out source network load storage collaborative optimization scheduling by utilizing an optimization algorithm; S4, evaluating and verifying an optimization result; according to the novel power system source-network-load-storage coordinated optimization planning method, the precision of load prediction is greatly improved, so that the problem that supply and demand matching is difficult is effectively solved, rapid fluctuation or sudden change of user loads can be rapidly responded, the adaptability and flexibility of a scheduling strategy are remarkably improved, and the scheduling efficiency is improved. The problems of supply and demand matching and scheduling flexibility caused by low load prediction precision under the condition of dynamic adjustment of various user side loads in the prior art are solved.

The invention discloses a charging pile output power control method, and particularly relates to the technical field of charging pile management, and the method comprises the following steps: collecting the real-time operation information of a charging station, analyzing the overall load fluctuation condition, and judging whether an early sign that the operation fluctuation intensity is too high exists or not; and if abnormity is identified, further collecting operation information of each charging pile, extracting feature data, and performing stability and adaptability evaluation. And an evaluation result is imported into a fuzzy reasoning model, and the charging pile is divided into a high-quality operation state and a low-quality operation state. In a single abnormal scene, the charging piles in a high-quality operation state maintain a constant-current and constant-voltage strategy, and the charging piles in a low-quality operation state are switched to an adaptive power adjustment strategy; in an overall abnormal scene, all the charging piles are switched to an adaptive power adjustment strategy, so that the operation efficiency and stability are improved; the strategy can be dynamically adjusted according to different operation scenes, and the requirements under different operation conditions are met.

The invention discloses an application of a water supply main and bypass switching control method in unit wide load peak regulation, which comprises the following steps: step 1, load monitoring and prediction: monitoring unit load change in real time, collecting historical load data, and utilizing an advanced prediction algorithm to predict future load of a unit; the load change of a unit is monitored in real time, the future load is predicted, the water supply system is adjusted in advance, stable operation of the unit is ensured, the optimal switching strategy is intelligently selected according to the performance characteristics of the main and bypass water supply system and the current operation condition of the unit, and the switching efficiency is improved; smooth switching between the main path and the bypass path is achieved, fluctuation and loss in the switching process are reduced, the water supply system is optimized and adjusted in real time after switching is completed, efficient and stable operation of a unit in the wide-load peak shaving process is ensured, the water supply system can effectively switch the water supply main path and the bypass path, and the water supply efficiency is improved. And the generator set can stably operate in the wide-load peak regulation operation.

The invention provides a process for preparing various nutritional ingredients from oats, and relates to the technical field of deep processing of oats. The process comprises the following steps: crushing and sieving oats to obtain oat bran; the method comprises the following steps: extracting oat bran through a supercritical extraction technology to obtain pretreated oat bran and an extract, and carrying out gradient membrane treatment and membrane ultrafiltration on the extract to obtain oat oil; extracting the pretreated oat bran through continuous sectional extraction equipment; after first-stage protein extraction, second-stage dextran extraction, third-stage immobilized enzymolysis and fourth-stage filler decoloration, the materials enter a system balance tank, and membrane separation and concentration are performed to obtain the oat beta-dextran. According to the invention, various nutrient substances such as oat beta-glucan, oat protein, oat oil and the like can be extracted at the same time, the defects in the prior art are overcome, the automation degree is high, and energy conservation and emission reduction are realized.

The invention relates to the technical field of semiconductor material preparation, and provides a method for controlling the resistivity of a fifth main group element doped crystal bar, crystal pulling time is distinguished in different crystal pulling stages, the volatilization coefficient of doped elements in different time periods is adjusted, the volatilization amount of the doped elements in each time interval is calculated more accurately, and the resistivity of the doped crystal bar is controlled. Therefore, the amount of doping elements required for controlling the resistance can be calculated more accurately, the resistance of the crystal bar can be adjusted more effectively and more accurately, the resistance difference between the head and the tail of the single-crystal crystal bar can be better reduced, meanwhile, through timely adjustment of the control process of the grade and the ending volatilization amount, the supplementary doping condition in the crystal pulling process is defined, and the crystal pulling efficiency is improved. And the resistance hit rate of the crystal bar is improved, and the head and tail resistance difference is reduced, so that the resistivity of each part of the crystal bar is accurately controlled, and the consistency of subsequent silicon wafer product quality is ensured.

The invention belongs to the technical field of smart power grids, and discloses a multi-energy collaborative optimization regional power peak regulation cloud service system and method. The method comprises the following steps: collecting regional electricity consumption time sequence data, and collecting photovoltaic power station key data and wind power station key data in unit time; preprocessing the key data of the photovoltaic power station and the key data of the wind power station to obtain preprocessed key data of the photovoltaic power station and preprocessed key data of the wind power station; inputting the preprocessed key data of the photovoltaic power station into a photovoltaic power generation prediction model, inputting the preprocessed key data of the wind power station into a wind power generation prediction model, and respectively obtaining predicted photovoltaic power generation and predicted wind power generation; inputting the regional electricity consumption time sequence data into the regional electricity consumption prediction model to obtain future unit time regional electricity consumption; according to the invention, the prediction accuracy of the regional predicted electricity consumption and the predicted generating capacity of the distributed energy power station is improved.

The invention relates to the field of sealing strips, and discloses a low-VOC (volatile organic compound) automobile sealing strip composite PVC (polyvinyl chloride) material and a preparation method thereof, the material comprises PVC resin, ethylene propylene diene monomer, a modified mesoporous ZIF-8 nano material, composite filler and the like; the modified mesoporous ZIF-8 nano material is prepared by grafting a hydroxylated antioxidant component on the surface of the mesoporous ZIF-8 nano material by using isophorone diisocyanate, and the hydroxylated antioxidant component is prepared by reacting N-(4-anilinophenyl) maleimide with 2-mercaptoethanol; the composite filler is prepared by grafting modified nano silicon dioxide and aminated basalt fiber, the modified nano silicon dioxide is prepared from phenylphosphoryl dichloride, diethanol amine, dibutyl phosphate and isophorone diisocyanate as raw materials, and the aminated basalt fiber is prepared by modifying with an aminated silane coupling agent; the modified mesoporous ZIF-8 nano material and the composite filler are added, so that the flame retardant property, the thermal aging resistance and the mechanical property of the material are improved.

The invention provides soft environment-friendly automobile interior leather, which comprises a polyolefin base material layer and a surface coating, the polyolefin base material layer comprises: a component (A): a mixture composed of 10-90 parts by weight of an ethylene copolymer elastomer and 10-90 parts by weight of ethylene-propylene-diene monomer, the sum of the weight parts of the ethylene copolymer elastomer and the ethylene-propylene-diene monomer being 100; and a component (B): 0-5 parts by weight of an assistant cross-linking agent. The automotive trim leather provided by the invention is soft, anti-aging and low-volatility, has good tensile strength, low-temperature folding resistance and flexibility, and is wide in processing window, simple in process and low in cost.

The invention relates to an activating agent and a method for repairing an organic contaminated site by targeted stimulation of indigenous microorganisms based on negative pressure infiltration promotion, which are characterized in that the activating agent containing nutrient substances, a sustained-release material and a surfactant is promoted to be uniformly distributed in the contaminated site through a negative pressure effect formed in soil by vacuumizing, so that the growth and activity of the indigenous microorganisms can be stimulated, and the effect of repairing the organic contaminated site by targeted stimulation of the indigenous microorganisms is achieved. The degradation of organic pollutants is accelerated. The defects that an existing in-situ organic pollutant site repairing technology is high in energy consumption, poor in effect, incapable of achieving secondary utilization of repaired soil, small in application range and the like are overcome, the provided activating agent can be combined with indigenous microorganisms in the site in a targeted mode, nutrient substances needed by growth are provided for the indigenous microorganisms, biodegradation of organic pollutants is promoted, and the effect of in-situ repairing of the organic pollutant site is achieved. And the activating agent is uniformly distributed in the polluted site under the negative pressure effect, so that more uniform and effective in-situ remediation is realized.

The invention relates to the field of fertilizers, in particular to a pyroligneous liquor and fulvic acid mixed liquid fertilizer and a preparation method thereof.The pyroligneous liquor and fulvic acid mixed liquid fertilizer is prepared from, by weight, 30-35% of pyroligneous liquor, 25-40% of fulvic acid, 4-6% of amino acid, 5-7% of modified activated carbon and the balance water. The wood vinegar and fulvic acid mixed liquid fertilizer prepared by the invention has good antibacterial performance, and can promote the growth of crops, so that the yield is increased.

The invention discloses an ionic liquid modified polyimide nanofiber film and an air purification filter screen based on the ionic liquid modified polyimide nanofiber film, and belongs to the technical field of film filtering materials. The preparation method comprises the following steps: firstly, selecting a diamine monomer and a dianhydride monomer to carry out low-temperature polycondensation reaction, and then carrying out solvent replacement and freeze drying to obtain polyamide acid powder; dissolving the powder to obtain a polyamide acid spinning solution, preparing an ionic liquid / polyamide acid spinning solution on the basis, and carrying out electrostatic spinning to obtain an ionic liquid / polyamide acid nanofiber membrane; and finally, carrying out high-temperature thermal imidization treatment to prepare the ionic liquid / polyimide nanofiber membrane. The method is simple and efficient, the problems of low resistance, high pressure drop and the like of a traditional nanofiber film in air filtration are solved, development and application of the nanofiber film in the field of air filtration are further widened, and the nanofiber film has important scientific significance and application value in the fields of high-temperature filtration, gas adsorption and the like.

The invention discloses an Internet of Things data analysis system based on artificial intelligence, and relates to the technical field of telecommunication, the system analyzes the coupling effect in signal propagation through a path selection and prediction module and an AI algorithm, and outputs an environmental influence function TW; and the dimension reduction feature data set F is combined with the environmental influence function TW to calculate and output a prediction path optimization parameter Pout. The intelligent path selection model not only considers factors such as signal intensity attenuation, noise interference and building reflection, but also combines the influence of terrain and weather, so that the prediction accuracy is greatly improved. And the dynamic path adjustment switching module realizes intelligent adjustment of the communication path based on the quality score comparison of the current path Pcurr and the predicted optimal path Pout and the setting of a threshold value M. And the response speed and the decision quality of the system in the case of network condition change are enhanced.

The invention belongs to the technical field of cosmetics, and discloses a cyclodextrin-based water-resistant modified polyurethane film-forming agent and a preparation method thereof. The cyclodextrin-based water-resistant modified polyurethane film-forming agent comprises a hydrophilic chain segment and a hydrophobic chain segment, the hydrophilic chain segment comprises a chain segment formed by raw materials of cyclodextrin and 2, 2-dimethylolbutyric acid, and the hydrophobic chain segment comprises a chain segment formed by a raw material of organosilicon. Compared with the prior art, the cyclodextrin-based water-resistant modified polyurethane film-forming agent disclosed by the invention has good film-forming property, water resistance, dispersity, softness and adhesive force, can also be used as a film-forming material of cosmetic products, and enhances the waterproof, sweat-resistant and lasting characteristics of cosmetics.

The invention discloses a nonlinear ultrasonic detection signal noise reduction and feature enhancement method and system, and relates to the technical field of nonlinear ultrasonic detection.The method comprises the steps that CEEMDAN decomposition is conducted on detected nonlinear ultrasonic signals of concrete damage, and a plurality of intrinsic mode components IMFs are obtained; classifying and integrating the IMFs obtained by decomposition by using a sample entropy value to obtain a component IN-IMFs after classification and integration; performing variational mode decomposition on the IN-IMFs after classification and integration to obtain a group of intrinsic mode functions IMFs; and dividing the intrinsic mode function IMFs into a training data set and a test data set according to a time step length, inputting the training data set into a gating cycle unit model for training, and outputting a noise reduction and feature enhancement effect result of each IN-IMF. According to the invention, noise interference can be reduced for ultrasonic and nonlinear ultrasonic detection of damage of materials such as rocks and concrete, and nonlinear characteristics of detection signals in nonlinear ultrasonic can be enhanced.

The invention relates to the technical field of tractor path planning, in particular to an intelligent tractor path planning system based on dynamic environment perception, which comprises a data acquisition module, a data processing module and an adjustment module. By introducing a risk grid marking mechanism and a path evasion algorithm, the system can sense and analyze various factors in a dynamic environment in real time, such as unfavorable conditions of rainfall, ground depression, water accumulation and the like, so that the driving path of the tractor is flexibly adjusted, and the system is particularly suitable for path planning requirements in complex terrains or severe weather; the system not only can automatically generate an optimal avoidance path, but also can monitor the change of the length of the traction path in real time through a path correction function, and dynamically adjust the grid spacing, thereby ensuring the continuity and accuracy of path planning, and improving the path planning efficiency. The problems of inaccurate path planning and low efficiency caused by high delay of processing real-time environment information and poor adaptive capacity are effectively solved.

The present invention discloses an automatic cable insulation coating device, including a cooling system and an insulation coating mechanism installed at the inlet end thereof, wherein the cooling system is in a U-shaped structure, and a heat utilization device is connected between the two ends, and the cable core passes through the insulation coating mechanism to coat the insulation layer and then vertically downwards perpendicular to the liquid surface to enter water for cooling, and the present invention relates to the technical field of cable insulation layer processing. The automatic cable insulation coating device cools and solidifies the cable insulation layer by setting a vertical cooling system, and the cable enters the water vertically, which can eliminate the problem of uneven thickness caused by the flow of the molten insulation layer due to gravity, and on the other hand, the cable enters the static water perpendicular to the liquid surface, which can avoid the problem of the flowing water obliquely impacting the insulation layer to form tiny ripples on its surface, and the heat utilization device can be used to recycle the excess heat, and the cable surface can be cooled after water cooling, which is more energy-saving and environmentally friendly.

The invention discloses oil-based cooling liquid for a data center and a preparation method of the oil-based cooling liquid, and relates to the technical field of liquid coolant.The oil-based cooling liquid is prepared by taking base oil as a main component, adding a proper amount of heat-conducting filler, a dispersing agent, a coupling agent, an antioxidant, a corrosion inhibitor and a defoaming agent as auxiliary components and simply stirring and mixing; the cooling liquid is high in heat dissipation efficiency, good in fluidity, good in storage stability and chemical stability, low in volatility, high in safety and suitable for immersed cooling of the data center.

The present invention separates and purifies chitosan in shrimp by-products, and then prepares chitosan / collagen / plant essential oil multilayer nano composite microsphere emulsion, which is applied to sunscreen skin care products. The plant essential oil has sunscreen effect, chitosan has antibacterial and anti-inflammatory properties, and collagen can repair damaged skin. By controlling the extraction and purification process of chitosan, the molecular weight of chitosan is controlled, the homogeneity of chitosan is improved, and the antibacterial property of chitosan is improved. Through the form of multilayer nano composite microsphere emulsion, the plant essential oil is protected, the volatilization of the plant essential oil is reduced; the release rate of the plant essential oil is controlled, and a slow release effect is produced; the particle size of the effective ingredient is smaller and easier to be absorbed by the skin; at the same time, a component with waterproof performance is added to the sunscreen cosmetics, so that the sunscreen skin care products of the present invention have excellent sunscreen effect and waterproof performance.

The invention relates to the technical field of networks, in particular to a routing architecture and method of a computing power service open internet. The architecture comprises: a network access device; a network output device; a network control center; the network management device is used for generating a first arrangement result between the first network output device and the target service providing node according to the analysis result, the computing resource state and the network resource state; the network management equipment is also used for issuing the first arrangement result to the network access equipment, and sending a service request message to a wide area network routing node, so that the service request message is sent to the first network output equipment according to a specified path and strategy in the first arrangement result; and the first network output device is used for sending the service request message to the target service providing node. By implementing the technical scheme of the invention, finer, more flexible and more reliable end-to-end routing control is provided, and the guarantee of the whole process of transmission and calculation and the optimal utilization of network and calculation resources are realized.

The invention relates to the technical field of electric power, and discloses a novel electric power system load prediction method, which comprises the following steps of: acquiring electric power and corresponding comprehensive energy system data in an area on site, performing feature matching classification, determining prediction indexes, expanding a prediction range, establishing a secondary prediction system, and performing GM (1, 2, 3, 4, 5, 6, 7, 8, 8, 9, 10) on the secondary prediction indexes, the method comprises: 1) performing grey prediction to obtain a predicted value sequence, and generating a grey prediction model; performing grey correlation degree analysis on the second-level prediction index and the first-level prediction index; constructing a Bayesian network structure; constructing a father node; sequentially setting the value domains of the father node and the child node; determining a probability value and probability distribution; and comparing a prediction result with an actual result for verification. According to the method, all factors which play a role in the future are included in the prediction model, the influence weight of each prediction index is accurately analyzed, and assistance is provided for future work key points of employees of electric power departments and related industries.

The invention discloses a wind-light-water storage active power cooperation real-time control method and system, and solves the problems that a wind-light output correlation output curve cannot be considered in an existing method, and a power distribution network operation state model only depends on a wind power photovoltaic output curve, a load curve and the state of energy storage equipment; the method comprises the following steps: in combination with a wind and light probability distribution function, improving a dynamic time bending algorithm to quantitatively describe wind and light output correlation; constructing a cooperative scheduling model based on wind and light output correlation and cascade failure simulation; according to the method, a wind-solar probability distribution function of active power output of wind power generation and photovoltaic power generation is defined through a probability distribution method, and the wind-solar output correlation is quantitatively described based on an improved dynamic time bending algorithm, so that a wind-solar output correlation output curve which is quantitatively expressed is effectively combined and considered when a collaborative scheduling model adaptively searches an optimal solution parameter; and the change of wind and light output can be predicted and simulated more accurately.

The invention relates to the technical field of planting, sowing and fertilizing, in particular to an agricultural planting, sowing and fertilizing all-in-one machine which comprises a supporting moving frame, a main frame, a fertilizer box and a seed box, the main frame is fixed to the upper end of the supporting moving frame, the fertilizer box is located in front of the seed box, and the front end and the rear end of the supporting moving frame are rotationally connected with moving assemblies; a movable main frame is arranged between the two moving assemblies, the movable main frame is located below the fertilizer box and the seed box, the seed box and the fertilizer box are both fixedly inserted into the main frame, a plurality of ring frames are fixedly installed on the front face of the movable main frame, seed pipes fixedly penetrate through the axes of the ring frames, and seed conveying structures are slidably inserted into the upper ends of the seed pipes. Seeds in the seed box fall into soil through the seed pipe, then fertilizer in the fertilizer box falls around the seeds through the annular space between the fertilizer pipe and the seed pipe, and the fertilizer annularly surrounding the seeds can be fully absorbed by the seeds.

The invention provides a preparation method of a micro TiAl alloy wire, and relates to the technical field of TiAl alloy preparation. The preparation method comprises the steps of raw material selection and treatment of a wire material, raw material twisting of the wire material, continuous warm drawing of a primary TiAl composite stranded wire, twisting of the primary TiAl composite wire, continuous warm drawing of a secondary TiAl composite stranded wire, repeated warm drawing of the TiAl composite wire, continuous extrusion of the TiAl wire and diffusion homogenization of the TiAl alloy wire which are sequentially carried out. According to the preparation method, the TiAl alloy wire with uniformly distributed components can be directly prepared at a lower temperature by combining multiple wire twisting, multiple continuous hot drawing and final diffusion homogenization annealing, the high-temperature melting process is effectively avoided, the components and the diameter of the TiAl alloy wire can be designed according to the requirements of the target TiAl alloy wire for the passes in the preparation and extrusion process of the TiAl composite wire, and the preparation process of the TiAl alloy wire is simplified. The method is high in flexibility, simple to operate, wide in application, low in cost and very suitable for large-scale industrial production.

The invention discloses a wind turbine blade material degradation and recycling device in the technical field of wind turbine blade recycling, comprising a preheating tank and a Stirling engine, wherein the inner wall of the preheating tank is provided with a preheating chamber; the input end of the Stirling engine is connected with the preheating chamber, and the output end of the Stirling engine is provided with a crushing mechanism for crushing the wind turbine blades; a wind selection mechanism for screening wind turbine blade fragments is provided below the preheating tank, the wind selection mechanism comprises a base, a wind selection channel and a wind selection chamber are provided in the base, a recovery plate is provided in the wind selection chamber, a plurality of screening holes are provided on the recovery plate, and the screening holes are successively reduced in order from top to bottom; a fan is provided on the side of the recovery plate away from the wind selection channel, a heating chamber is further provided below the recovery plate, and an insulating mechanism for sealing the heating chamber is provided between the heating chamber and the recovery plate; the reuse rate of heat energy is improved by the Stirling engine and the wind selection mechanism, the wind turbine blades are preheated, and the processing efficiency of the blades is improved.

The invention discloses a lithium iron phosphate positive electrode material rich in oxygen vacancies and a preparation method and application thereof.The preparation method of the lithium iron phosphate positive electrode material rich in oxygen vacancies has the advantages that the number of heating times can be set in a programmable mode, the heating and cooling speed is high, and the heat treatment time is short; the volatilization amount of the lithium salt is small, and the method is more economical and environment-friendly; according to the method, a programmable constant-current power supply is used for electrifying and heating the carbon-based Joule thermal material, and the carbon-based material is used as a heating stage to realize ultrafast synthesis of the lithium iron phosphate material through a physical contact heat transfer effect; and the oxygen vacancy content can be adjusted by regulating and controlling parameters such as temperature and time. The heat treatment is performed in a specific atmosphere (such as vacuum, inert gas, reducing gas and oxidizing atmosphere), so that the reoxidation of the oxygen vacancies can be reduced, and the formation and the stabilization of the oxygen vacancies are facilitated; the adjustable and controllable range of the oxygen vacancy concentration in the lithium iron phosphate material prepared by the preparation method disclosed by the invention is 2.198 E12 to 7.382 E13Spins / mm < 3 >.

The invention discloses a method for extracting macadamia nut green peel polyphenol by screening a deep eutectic solvent (DES) based on molecular simulation, and belongs to the field of molecular simulation and natural product extraction. The method comprises the following steps: firstly, quantitatively analyzing the composition of the macadamia nut green peel polyphenol, then based on the composition of the green peel polyphenol, researching the dissolving-out capacity of DES composed of different hydrogen bond donors / hydrogen bond receptors on the main polyphenol of the macadamia nut by adopting molecular simulation, screening DES with different hydrogen bond donor / hydrogen bond receptor compositions and molar ratios, and determining the content of the main polyphenol in the macadamia nut. Finally, the screened DES system is subjected to process optimization, and the optimal DES proportion is obtained. The DES system can be rapidly screened on the basis of the main composition of macadamia nut green peel polyphenol, the polyphenol yield is increased, and the problems of large use amount of an organic solvent and low extraction efficiency in traditional polyphenol extraction are solved.

The invention provides a spiral fluted tap which is provided with a thick handle part, a neck part and a thick-head thread part which are coaxially arranged, the helical angle beta of the thread part is greater than 40 degrees; the groove profile of the thread part is of a three-groove structure and is in a straight-line three-arc form; the screw tap is made of a high-speed steel material subjected to vacuum heat treatment and subzero treatment and is subjected to passivation treatment. The technical problems that a spiral fluted tap is unsmooth in chip rolling and discharging, short in service life, prone to being broken, unstable in performance and low in working efficiency are solved. The cutter is beneficial to numerical control multi-line grinding machining, sharp in cutting, beneficial to tight chip rolling, long in service life, high in machining stability and high in efficiency.