3136results about How to "Short time" patented technology

The invention discloses an injection filler and a preparation method and application thereof, the filler is polycaprolactone particles, the polycaprolactone particles are spherical particles, the particle size of the spherical particles is 20-100 [mu] m, and the polycaprolactone particles have rough surfaces or unsmooth surfaces. The polycaprolactone microspheres have rough surfaces or unsmooth surfaces, so that the contact area with cells is increased, the adhesion ability and residence time of the cells are improved, the affinity of the polycaprolactone microspheres is improved, and the growth of collagen can be stimulated and accelerated. In the preparation process, the dosage of each component is scientifically screened, and on the basis of controlling the viscosity of a water-phase solution, the spherical polycaprolactone particles which are regular, rough in surface and uniform in particle size are obtained in cooperation with a rapid membrane emulsification method.

The invention discloses a method for homogenizing a microstructure of a low-temperature high manganese steel welding heat affected zone by using pulse current, and belongs to the technical field of welding and postweld heat treatment of high manganese steel for liquefied natural gas (LNG) storage and transportation. The treatment method comprises the following steps: (1) sampling a heat affected zone of the low-temperature high-manganese steel welded joint with microstructure gradient distribution; (2) the low-temperature high manganese steel welding heat affected zone sample is subjected to pulse current treatment at the room temperature, the pulse frequency ranges from 0.6 kHz to 6 kHz, the pulse width ranges from 0.2 ms to 6 ms, the current density ranges from 20 A / mm < 2 > to 200 A / mm < 2 >, and the treatment time ranges from 5 min to 120 min; and (3) grinding and polishing the sample, observing and analyzing the element distribution state in the heat affected zone, and quantitatively representing the grain boundary structure characteristics. According to the method, atomic diffusion, dislocation slippage and grain boundary migration of the low-temperature high-manganese steel welding heat affected zone can be promoted by applying the pulse current, redistribution of segregated atoms and dislocations in grains and at grain boundaries is rapidly achieved, and then the purposes of improving the microstructure uniformity of the low-temperature high-manganese steel welding heat affected zone and improving the impact toughness of the low-temperature high-manganese steel welding heat affected zone are achieved. The method is easy to operate, short in treatment time, environmentally friendly and particularly suitable for postweld treatment of low-temperature high manganese steel parts.

The invention discloses a modified zinc electrode material as well as a preparation method and application thereof, 3, 4-ethylenedioxythiophene, lauryl sodium sulfate and potassium perchlorate are taken as electrolyte, and the surface of a zinc electrode is coated with an organic polymer coating in an electrochemical polymerization manner, so that the problems of dendritic crystal growth, side reaction, corrosion and the like of the zinc electrode are solved; the cycling stability and reversibility of the zinc electrode are improved; meanwhile, the coating has hydrophilicity and better electrolyte wetting capacity, zinc ions are helped to be rapidly diffused on an electrode, and the polarization influence caused by concentration difference in the cycle process of the battery is relieved. Besides, by controlling the electrochemical polymerization time, the thickness of the coating is controlled, and the method has the advantages of simplicity, rapidness and the like and is suitable for large-scale popularization and application.

The invention discloses a method for testing the content of platinum in a platinum compound solution, and belongs to the technical field of analytical testing. According to the test method, an ammonium chloride precipitation gravimetric method is replaced by a hydrogen reduction gravimetric method, platinum ions in a platinum compound solution are reduced into elemental platinum in a hydrogen reduction mode, and the content of platinum in the solution is calculated by weighing the weight of a reduced platinum sinter and subtracting the content of impurity elements in the platinum sinter at the same time. According to the method, the platinum content in the platinum compound solution can be accurately and quantitatively analyzed, the operation process is simple, good repeatability is achieved, the range of multiple analysis results of the same sample is smaller than or equal to 0.05% and is far lower than the repeatability limit 0.2% of a national standard method, the analysis accuracy is guaranteed, and meanwhile the analysis efficiency is greatly improved.

The invention discloses a missile avoidance and rotary enemy locking maneuvering strategy generation method, which comprises the following steps: S1, establishing a kinematics model and a dynamics model of an airplane and a missile based on Newton's law of motion, and simulating flight tracks and states of the airplane and the missile; s2, based on the kinematics model and the dynamics model, establishing a 1v1 beyond-visual-range air combat environment; s3, designing a state space, an action space and a reward function of deep reinforcement learning for the quadruple of deep reinforcement learning, and integrating the three into an over-the-horizon air combat environment to complete the design of a state transfer function; s4, simulating a warplane by using an intelligent agent, and performing repeated simulation confrontation by using the deep reinforcement learning framework to optimize and adjust a strategy and improve the survivability and combat efficiency in an air combat; and through continuous iterative training of the reinforcement learning model, the intelligent agent autonomously learns an effective maneuvering strategy so as to cope with threats of enemy planes and missiles from different directions.

The invention discloses a compression and decompression method and device for business data, equipment and a medium, and the compression method comprises the steps: obtaining to-be-compressed target business data, and carrying out fragmentation compression to obtain a first compressed file comprising a first file header, a tail file header and a plurality of first compressed fragments; according to the fragmentation compression, the whole target business data can be segmented and compressed into a plurality of first compressed fragments, so that the time consumption of a decompression process is reduced; generating a second file header according to the first file header, the initial position information of each first compressed fragment and the tail file header; and packaging the first compressed file and the second file header to obtain a target compressed file. The second file header can give the initial position information of each first compressed fragment, and the tail file header can give the offset information of each sub-file in the first compressed fragment, so that the compressed files can be efficiently decompressed. The technical scheme can be widely applied to the technical field of data processing.

The invention provides a revenue distribution method for an internal alliance cooperative game of a virtual power plant, and the method comprises the steps: forming an alliance by distributed energy resources, and constructing a multi-agent optimization scheduling model in the virtual power plant with the maximized electricity selling revenue; constructing constraint conditions of a multi-body optimization scheduling model in the virtual power plant; determining a multi-agent cooperative game model of the game participants, the strategy set and the feature function; determining the overall electricity selling income of the virtual power plant, and designing a two-stage refined income distribution scheme of a multi-factor improved shapley value method and a kernel method based on odd-even circulation; and calling a CLPEX solver of the YALMIP on a Matlab platform to solve the cooperative game scheduling model and the income distribution strategy. According to the method, cooperative complementary operation among the alliances in the virtual power plant is realized, and fairness and rationality of income distribution among multiple subjects are ensured.

The invention relates to the technical field of metal injection molding, in particular to a method for detecting uniformity of metal powder injection molding feed, which comprises the following specific steps: randomly extracting a plurality of samples from the same batch of metal powder injection molding feed at different positions, weighing a plurality of groups of samples from each sample, recording the weight of each group of samples as m1, and recording data, the apparent weight of each group of samples is obtained through a density meter and an electronic balance by utilizing a drainage method and is recorded as m2, data is recorded, the volume and density of the samples are calculated, then the standard deviation of the density of the samples is calculated according to a sample standard deviation calculation formula, then a variable coefficient is calculated, and the feeding uniformity is evaluated according to the variable coefficient. The method is simple in process, convenient to operate and short in consumed time, the uniformity of the feed is evaluated through sampling, weighing and density calculation, the uniformity of the metal powder injection molding feed can be visually and quantitatively detected, and the method is suitable for detecting the uniformity of the metal powder injection molding feed.

The invention discloses a soybean nodulation number related major single nucleotide polymorphism (SNP) site and application thereof, the SNP site is positioned on a soybean chromosome 2, the physical distance of the SNP site in a soybean genome version number Glycine max Wm82.a2.v1 is Chr0243129492, the SNP site corresponds to a 20th basic group of a sequence shown as SEQ ID NO.1, when the site is T / T homozygosis, the corresponding genotype is A, when the site is T / T homozygosis, the corresponding genotype is B, and when the site is T / T homozygosis, the corresponding genotype is C; when the site is C / C homozygous, the corresponding genotype is B; the number of root nodules is as follows: the genotype A homozygous soybean is greater than or candidate to be greater than that of the genotype B homozygous soybean. By detecting the SNP, a tested soybean population can be accurately divided into a low root nodule number (C / C) and a high root nodule number (T / T). Therefore, the molecular marker can be used as a basis for preliminarily identifying the number of soybean nodules, has high efficiency and applicability such as simplicity in operation, low cost and short consumed time, and has important values for digging germplasm of high-nodulation soybeans, solving the problem of nitrogen fertilizer abuse and promoting sustainable development of agriculture.

The embodiment of the invention provides a scheduling method, which comprises the following steps of: in a process of determining a target scheduling action, traversing by taking an action module as a unit based on a current state and an action priority list corresponding to the action module, and outputting by taking the target scheduling action as granularity, the optimal scheduling sequence does not need to be output after all possible scheduling sequences are traversed and compared, the traversing and searching depth is greatly reduced, the time consumption of the determining process of the target scheduling action is reduced, the timeliness of the scheduling method is improved, and the problem that the scheduling efficiency is low due to long time consumption is solved. The matching degree between the scheduling instruction output by the scheduling method and the actual state of the semiconductor process equipment is poor; besides, in the scheduling method, traversal is carried out by taking the action module as a unit to determine the target scheduling action, so that the scheduling method can be suitable for scheduling of the action module such as a manipulator for transmission and also can be suitable for scheduling of the action module such as a spraying mechanism, and the applicability of the scheduling method is improved.

The invention relates to the technical field of road surface detection, and particularly discloses a road surface water seepage detection device for road construction, which comprises a measuring cylinder, a first valve, a second valve, a base, a rotating assembly and a supporting seat, the bottom side of the measuring cylinder is provided with a water outlet, and the bottom side of the base is provided with a groove; a first mounting hole and a second mounting hole which are communicated with the groove are formed in the top side of the base, the first mounting hole is communicated with one port of the first valve, the other port of the first valve is communicated with a water outlet of the measuring cylinder, and the second mounting hole is communicated with one port of the second valve; according to the road surface water seepage detection device for road construction, liquid paraffin is adopted for blocking a road surface outside the water seepage range, operation is easy, time is short, and meanwhile the influence of road surface runoff on water seepage detection is reduced.

The invention discloses a prostate cancer segmentation method based on multi-parameter magnetic resonance imaging and deep learning, and relates to the technical field of image segmentation, and the method comprises the steps: carrying out the preprocessing of collected multi-parameter magnetic resonance image original data, and dividing the data into a training set, a test set and a verification set; the method comprises the following steps: respectively constructing an attention-unet network used for prostate segmentation and a Multi-attention-unet network used for prostate cancer segmentation; training and selecting an optimal prostate segmentation model by using the verification set; inputting the multi-parameter magnetic resonance images of the test set into the optimal prostate segmentation model to obtain the multi-parameter magnetic resonance images in the set training set for training after the gland optimal prediction mask is obtained, and selecting the optimal prostate cancer segmentation model by using the verification set; and inputting the multi-parameter magnetic resonance image of the test set and the gland optimal prediction mask into the optimal prostate cancer segmentation model to obtain a prostate cancer segmentation result, thereby improving the segmentation precision and robustness.

The invention discloses a design method of a multi-constraint guidance law driven by a depth deterministic strategy gradient, and belongs to the technical field of missile guidance. The method comprises the following steps: S1, establishing a three-dimensional relative kinematics model of a missile interception target; s2, based on the S1, designing a fractional order sliding mode control law and analyzing the stability of the fractional order sliding mode control law; s3, designing and optimizing an A3DPG algorithm; and S4, inducing a strategy network to learn an action strategy through a reward mechanism in a dynamic environment, and realizing a multi-constraint guidance law with shortest time, small miss distance, field of view FOV constraint, acceleration change suppression, sliding mode surface convergence reward, end attack angle constraint and total reward. According to the method, the guidance law with the convergent line-of-sight angle is designed by using the fractional order sliding mode theory, and then the sliding mode surface parameters and the reaching law parameters are dynamically learned by using the reinforcement learning algorithm, so that the guidance law with dynamic adjustment is realized. And inducing a strategy network to learn an optimal guidance law under the evaluation of the indexes through factors such as a reward mechanism in a dynamic environment.

The invention relates to a vehicle remote control method and device, communication equipment, a computer readable storage medium and a computer program product. The method is applied to a communication server between a user control end and a vehicle, and comprises the following steps: under the condition that a remote control instruction from the user control end is obtained from first middleware, determining whether the vehicle is executing a preorder remote control instruction before the remote control instruction; if the preceding remote control instruction is executed, the remote control instruction is temporarily stored until it is determined that the preceding remote control instruction is executed by the vehicle, and the temporarily stored remote control instruction is sent to the vehicle through the second middleware. According to the method, parallel execution of the remote control instructions is achieved, the efficiency of vehicle remote control is improved, and the method is low in needed cost, short in needed development period, short in needed consumed time for achieving vehicle remote control and higher in universality.

The invention provides an optimization method and device for a copy-on-write mechanism of a file system.The method comprises the steps that when the copy-on-write mechanism of an OverlayFS file system is triggered for a first file, a second file is created on a newly-added uperopt layer, and the OverlayFS file system comprises a first file, a second file is created on a newly-added uperopt layer; the method comprises the following steps: storing a first file in a cloud server, a lower layer, an upper layer, a merge layer and an upper layer, setting a mounting directory of application data on the storage server on the cloud server as the lower layer, setting a specified directory in a container on the cloud server as the upper layer, setting a directory actually accessed by an application in the container as the merge layer, and setting the first file as a file of the lower layer; and the operation of the application on the first file is recorded in the second file, so that the time consumption of the copy-on-write process of the OverlayFS file system can be reduced.

The invention discloses a junction temperature estimation method and device for a power semiconductor and a vehicle, and the method comprises the steps: obtaining the loss, temperature rise data and environment temperature of the power semiconductor in an electric period, the temperature rise data comprises temperature rise values of the temperatures of the power semiconductor under different operation conditions relative to the environment temperature; determining thermal impedance according to the loss and temperature rise data; and determining the junction temperature according to the loss, the thermal impedance and the environment temperature. According to the method, the load rate of the vehicle-mounted software can be reduced, additional hardware does not need to be added, so that test resources are simple, the accuracy is high, the practicability is high, the junction temperature calculation efficiency is improved, and the calculation time is saved.

The invention relates to the technical field of disinfection effect evaluation, and discloses a method for evaluating the virus disinfection effect of virus aerosol. According to the method for evaluating the virus killing effect of the virus aerosol, a real virus is simulated by adopting a pseudovirus, so that the biological safety risk is avoided; through the innovative pseudovirus activity detection method, the experimental operation complexity is greatly reduced, the detection time is shortened, meanwhile, the detection sensitivity is improved, and the method can be applied to the disinfection effect test and evaluation of scientific research and commercial air disinfection equipment (such as ultraviolet disinfection equipment).

The utility model relates to a lining steel pipe diversion tunnel curve section installation system which comprises a lining steel pipe, a horizontal assembling jig frame used for turning over a lining steel pipe welding stiffening ring and a moving trolley used for climbing pipes in a tunnel and assisting in butt joint of the lining steel pipe. The horizontal assembling jig frame has the advantages that the driving machine is arranged in the horizontal assembling jig frame to achieve synchronous rotation of the lining steel pipes, the limiting arms capable of being elastically opened and closed are arranged, the assembling and disassembling efficiency of the lining steel pipes is improved, the horizontal assembling jig frame can flexibly control the distance based on the rails, the overall installation effect is higher, consumed time is shorter, and the assembling and disassembling efficiency is improved. The traditional vertical assembling mode that the steel pipes are externally provided with stiffening rings is changed, and the practical value is high; a structural system of assembling type inner support section steel combined adjustable support rods is adopted to replace a traditional fixed welding umbrella-shaped inner support, and the field construction efficiency is improved.

The invention discloses a fault detection system and detection method for a portable power supply, and relates to the technical field of power supply detection, a trained fault image recognition model is used for recognizing a power supply image, if a power supply element has a fault, the portable power supply is divided into a plurality of battery units, and the battery units are respectively tested; generating an anomaly degree according to the test data, if the anomaly degree exceeds the expectation, screening out an abnormal component in the battery unit, carrying out feature extraction on the test data of the abnormal component, obtaining corresponding maintenance features, and matching a corresponding maintenance scheme for the abnormal component through a portable power supply maintenance knowledge graph according to the output maintenance features; constructing the maintenance degree of the maintenance scheme, screening out a damaged component from the abnormal components according to the maintenance degree, and achieving the maintenance of the power supply through the damaged component. A targeted overhaul and maintenance scheme is given before the abnormal component is maintained, so that targeted maintenance of the abnormal component is realized, and the maintenance efficiency is improved.

The invention discloses a virtual karst landform scene construction method based on DEM and deep learning. The method comprises the following steps: firstly, extracting a saddle point, a mountain top point and a slope toe line of a karst landform DEM; converting the topographic feature elements into three-dimensional topographic feature elements in a gray value range of 0-255, combining the feature elements into an RGB three-waveband image, cutting the RGB three-waveband image into topographic feature samples with the size of 256 * 256, and splicing the topographic feature samples with the normalized DEM at the corresponding position to generate a training sample set; then training the CGANs network by using the training sample set; finally, the three-dimensional saddle point, the mountain top point and the slope toe line are hand-drawn according to development needs, three-dimensional topographic feature elements are synthesized and input into the trained karst landform construction model, a virtual karst landform scene is constructed, the method has the advantages of being low in cost and short in time consumption, and the development efficiency is improved. And a virtual karst landform scene which is high in trueness and meets the geographic law is provided for the virtual scene application fields of games, movies and televisions and the like.

The invention discloses a three-section self-assembly composite polypeptide nanoparticle for targeted repair of endothelial barrier and regulation and control of immune recruitment cascade and a preparation method and application thereof, and the preparation method comprises the following steps: (1) preparation of a hydrophilic section head multifunctional peptide solution, (2) preparation of a middle section connector ROS response thioketal solution, and (3) preparation of a three-section self-assembly composite polypeptide nanoparticle for targeted repair of endothelial barrier and regulation and control of immune recruitment cascade. (5) preparing a three-section type compound of a hydrophilic section, the hydrophobic section and the middle section, and (6) mixing the connection compound solutions of the three types of polypeptide of the hydrophobic section, the middle section and the hydrophilic section, and dialyzing to remove DMSO (Dimethylsulfoxide), so that the compound solution is changed from an organic phase to a water phase, and the three-section type compound of the hydrophobic section, the middle section and the hydrophilic section is obtained. And promoting amphiphilic self-assembly of the compound and co-assembly of the three polypeptide compounds, and freeze-drying to obtain the three-section type self-assembly composite polypeptide nanoparticles. According to the invention, inflammatory endothelial cells are targeted, local high ROS microenvironment is responded, endothelial barrier repair peptide is released to repair endothelial barrier, complement receptor antagonistic peptide is released to regulate complement cascade reaction so as to recover immune microenvironment, and body inflammation and immune disorder are cooperatively regulated.

The invention provides an application starting control method and device, electronic equipment and a vehicle, and the application starting control method comprises the steps: obtaining vehicle operation data, vehicle machine system operation data and user behavior data when a first operation executed by a user on a vehicle machine system is received; inputting the vehicle operation data, the vehicle machine system operation data and the user behavior data into an application prediction model, and predicting a target application intended to be started when the user executes the first operation; and when the target application is in the closed state, based on the information of the resources consumed by starting the target application, adjusting the scheduling mode of the resources of the central processing unit, and carrying out preset processing on the memory. According to the application, the resource and the memory space of the central processing unit can be reserved in advance, so that when the starting request of the target application is received, the time consumed for starting the target application can be shortened, the operation of the vehicle-mounted terminal system is smoother, and the use experience of a user is improved.

The invention discloses a business processing method, a test system, a medium and a product, and relates to the technical field of data processing. Before actual service demand processing is carried out, the performance parameters of the calculation accelerators are processed through the preset topological structure, the weight parameters and the set communication strategies, the target topological structure corresponding to the benchmark test is obtained, and resources of the calculation accelerators are made full use of. And in the target model of the actual current business demand, training the target model according to the parallel training strategy corresponding to each calculation accelerator and the target sample number of the target model so as to determine model parameters in the operation process. A conventional model does not need to be adjusted after the whole training process is finished and then return to iteration, time consumption is reduced, and meanwhile, by determining the parallel training strategy of each calculation accelerator, the operation efficiency of the training process and the evaluation effect of the model training parameters corresponding to the user requirements are improved.

The invention belongs to the technical field of vibration isolation testing, and particularly relates to a method for testing the vibration transmissibility of an autonomous excitation active vibration isolator. The method comprises the steps of excitation signal generation and input, vibration signal acquisition, signal coherence analysis and vibration transmissibility calculation. Due to the fact that ultra-precision equipment is sensitive to environmental vibration, an active vibration isolator is usually needed when the ultra-precision equipment is used, and low-frequency vibration such as ground vibration is isolated. In order to evaluate the vibration isolation performance of the active vibration isolator, the vibration transmissibility of the active vibration isolator needs to be tested and analyzed. According to the test method, an actuator and a sensor of the active vibration isolator are adopted, and an additional excitation device and a test sensor are not needed. The method provided by the invention is simple and convenient to implement, short in time consumption and good in test effect, and can solve the technical problem of testing the vibration transmissibility of the active vibration isolator.

The invention relates to a database structure migration method and device, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a target database and comprises the following steps: in response to a received structure migration instruction from a source database to the target database, determining a plurality of to-be-migrated types corresponding to the structure migration instruction; determining a migration sequence corresponding to the to-be-migrated types according to the dependency relationship among the to-be-migrated types; and based on the migration sequence, obtaining a target object corresponding to each to-be-migrated type, and executing a target structured query statement corresponding to the target object until execution of the target objects corresponding to the to-be-migrated types is completed, the target structured query statement is obtained by processing an initial structured query statement corresponding to the target object in the source database according to the parameters of the target database. The method can improve the migration efficiency and shorten the time.