14results about How to "Proper selection" patented technology

The invention provides a larimichthys crocea fast-growing character associated SNP marker combination and breeding application, the combination is prepared from a probe for detecting 10 SNP molecular marker combinations of larimichthys crocea fast-growing characters, and information of positions of all SNP molecular markers on chromosomes, alleles with changed sites and reference genes is shown in a table 1. According to the SNP marker combination disclosed by the invention, the optimal large yellow croaker individuals with fast-growing potential and a certain scale can be selected from the breeding offspring in advance for breeding and breed conservation, and the large yellow croaker individuals are bred to the parent without breeding and breed conservation of a large number of offspring seeds in the breeding process, so that the breeding cost can be greatly reduced. The SNP marker combination provided by the invention can solve the problem that non-lethal detection of the growth speed of the large yellow croaker cannot be realized in a traditional breeding mode, and can ensure smooth development of fast-growing character breeding work of the large yellow croaker.

The invention discloses a pulling device and method for an optical fiber coupler protective cap, and the device comprises a housing, and a clamping mechanism, a connecting rod driving mechanism and a moving mechanism which are disposed in the housing, and the connecting rod driving mechanism is connected to the clamping mechanism. The connecting rod driving mechanism can drive the clamping mechanism to clamp a protective cap of the optical fiber coupler, the moving mechanism is connected to the connecting rod driving mechanism, and the moving mechanism can enable the clamping mechanism and the connecting rod driving mechanism to move, so that the clamping mechanism can extend out of the interior of the shell, and the connecting rod driving mechanism can drive the clamping mechanism to clamp the protective cap of the optical fiber coupler. The moving mechanism is connected with a sensor; wherein the housing is internally connected with a storage mechanism, and the storage mechanism is used for storing a protective cap of the optical fiber coupler.

The present invention relates to the technical field of engineering machinery, and discloses a method, a processor, and a server for determining the parts of a slewing mechanism. The method comprises: obtaining the historical operation data of the slewing mechanism corresponding to the original engineering equipment, the historical operation data including the slewing pressure and the use time of the slewing mechanism; determining the maximum slewing resistance torque of the slewing mechanism according to the maximum value of the slewing pressure; determining the use level of the slewing mechanism according to the use time; determining the load spectrum coefficient of the slewing mechanism according to the historical operation data; determining the working level of the slewing mechanism according to the use level and the load spectrum coefficient; determining the slewing mechanism parts of the new engineering equipment according to the maximum slewing resistance torque and the working level. The slewing mechanism parts of the new engineering equipment are determined according to the historical operation data of the original engineering equipment, so that the selection and design of the slewing mechanism are more in line with the actual market demand, and while ensuring safety and reliability, the surplus and safety margin will not be too large, saving costs.

The invention relates to an advantage evaluation method for a fabricated structure technical system in the field of low-rise houses, and belongs to the technical field of fabricated buildings. The technical problem to be solved is that for selection of an existing fabricated structure technical system in the low-rise house field, a scientific and quantitative mathematical evaluation method is lacked, and accurate matching of the fabricated structure technical system and different application scene requirements cannot be achieved. According to the technical scheme, a target application scene is determined, demand weight coefficients corresponding to cost, construction period and performance are set, benchmarking products are selected to obtain related basic data, fractal dimension advantage indexes and industrialization indexes of a to-be-evaluated system are calculated, comprehensive competitive power indexes are calculated in combination with the weight coefficients, and the system is evaluated. And completing selection of the dominant technology system according to an index result.

The invention provides an intelligent selection method and system for regional hot products and a medium. The method comprises the steps of obtaining user feature data and generating a user consumption feature portrait, then extracting user consumption intention data, obtaining sales data and social media feature data of each commodity in a preset time period in a preset area, and calculating to obtain a commodity popularity index; performing threshold comparison on the commodity popularity index to obtain an effective commodity popularity index, and matching effective hot commodity category data with user consumption intention data to obtain a matched consumer commodity category; according to the sales data, the location distance weight data, the effective commodity popularity index and the user consumption intention data, processing to obtain a hot commodity matching recommendation index, and performing threshold comparison on the hot commodity matching recommendation index to obtain a hot commodity recommendation state; therefore, through calculation of the commodity popularity index and the hot product matching recommendation index and threshold comparison, regional hot products can be pushed and selected more quickly and accurately.

The present invention provides a method for selecting Chinese and image matching in artificial intelligence, which relates to the field of image-text matching technology, including: S1 obtaining text information, calculating the text word vector of the text information, and the dimension of the text word vector is N; S2 generating multiple images based on the text information, and numbering the images; S3 converting the image into a design matrix, each design matrix is ​​in the form of N×Q, calculating a projection matrix according to the design matrix, projecting the text word vector into the image space based on the projection matrix, obtaining the projection vector, and calculating the distance between each projection vector and the text word vector; S4 selecting the projection vector with the shortest distance, and outputting its corresponding image as a matching image. Based on the generation of multiple images, the present invention selects an image that best matches the text as the final single output according to the high correlation between the text and the image. This method effectively realizes the precise matching of text to image.

The invention relates to the technical field of base material bonding, in particular to a glue type selection method, system and equipment and a medium thereof. The method comprises the following steps: S1, determining a target assembly type corresponding to a glue using demand based on the glue using demand; s2, determining a glue type corresponding to the glue use demand in the target assembly type; s3, determining a requirement corresponding to the target glue in the glue type; and S4, matching the requirements with glue requirements in a database, and determining product information of target glue meeting the glue using requirements. According to the glue type selection method provided by the invention, the glue can be selected quickly and accurately.

This invention discloses a method for preparing high-performance egg liquid and a screening device for the preparation, including a frame, a screening mechanism, a cleaning mechanism, a drying mechanism, a feeding conveyor, a qualified egg unloading machine, an unqualified egg unloading machine, and a robotic arm. The screening mechanism includes a screening frame, an upper linear actuator, an upper detection cylinder, a pressure sensor, an air inlet pipe, a liquid inlet pipe, an air inlet valve, a liquid inlet valve, a weighing sensor, a weighing cylinder, a piston, and a lower linear actuator. The cleaning mechanism includes a power pump, a liquid storage tank, and a liquid delivery pipeline. The drying mechanism includes a fan and an air supply pipe, with the fan connected to the air inlet pipe via the air supply pipe. By measuring the specific gravity of the eggs to determine their quality, relatively fresh eggs with intact internal components can be accurately selected, making this judgment standard more scientific and accurate. The screening device can automate the feeding, screening, cleaning, drying, and unloading of eggs, with each step performed continuously without the need for intermediate transfers, resulting in higher efficiency.

The invention relates to the field of equipment fault diagnosis methods, in particular to a video conference equipment fault diagnosis method based on a knowledge base. According to the method, the segmented words in the first data are extracted through the first data containing a plurality of historical fault logs, and then the plurality of segmented words are screened out from all aspects as dimensions by gradually calculating the first importance degree, the second importance degree and the third importance degree, so that the plurality of feature words relative to the first data are formed; then, when third data is obtained, if first data identical to the third data exists, corresponding second data is directly output as a processing method, and once the second data cannot solve faults recorded in the third data, the second data for reference is provided for operation and maintenance personnel through final fitting degree calculation; the problem that at present, when operation and maintenance personnel manually diagnose video conference equipment faults step by step, the requirement for rapidly diagnosing the equipment faults in the conference process is difficult to meet is solved.

The invention relates to a parameter matching method and device for an extended-range hybrid vehicle and an extended-range hybrid mine truck, and the method can obtain the transportation working condition data matched with the extended-range hybrid vehicle, and achieves the matching of the parameters of the extended-range hybrid vehicle based on the transportation working condition data and a drive-by-wire chassis energy management control strategy of the extended-range hybrid vehicle. Establishing a target simulation platform, and based on a preset constraint condition, performing model selection on a specified component of the extended-range hybrid vehicle to obtain an initial parameter matching result of the specified component; and in the target simulation platform, performing simulation correction on the initial parameter matching result to obtain a target parameter matching result. Model selection in two dimensions of dynamic property and economical efficiency is jointly carried out based on transportation working condition data matched with an actual extended-range hybrid power vehicle, a drive-by-wire chassis energy management control strategy and working characteristics of a core specified component of the extended-range hybrid power vehicle; and the design requirements on parameter matching in the vehicle model development process can be accurately met.

The utility model provides an electromagnetic microneedle device for cell sorting. The electromagnetic microneedle device specifically comprises a microneedle and a magnetism generating bin, the microneedle is fixedly mounted at the front end of the magnetic production bin; the magnetism generating bin is of a cylindrical structure, and a magnetic coil, a battery pack and an electric control switch are mounted in the magnetism generating bin; wherein the magnetic coil is electrically connected with the battery pack, and the battery pack is electrically connected with the electric control switch; the electric control switch is mounted on the side wall of the barrel structure; and the microneedle is of a structure made of a magnetic conductive metal material. The device is simple to operate, and the aim of accurately selecting cells under a microscope is fulfilled by combining a magnetic bead method cell sorting technology.

The invention provides a larimichthys crocea high muscle elasticity character associated SNP marker combination and breeding application, the combination is prepared from a probe of 13 SNP molecular marker combinations for detecting larimichthys crocea muscle elasticity characters, and information of positions, alleles with changed sites and reference genes of all SNP molecular markers on chromosomes is shown in a table 1. By means of the SNP marker combination, the optimal large yellow croaker individuals with the high muscle elasticity potential and a certain scale can be selected from breeding offspring in advance, breeding and breed conservation are carried out, the large yellow croaker individuals are bred to the parent, breeding and breed conservation do not need to be carried out on a large number of offspring seeds in the breeding process, and the breeding cost can be greatly reduced. The SNP marker combination can solve the problem that non-lethal detection of the muscle elasticity of the pseudosciaena crocea cannot be realized in a traditional breeding mode, and can ensure smooth development of breeding work of the high muscle elasticity character of the pseudosciaena crocea.

This invention belongs to the field of molecular biology and discloses a SNP marker associated with salt tolerance in largemouth bass and its application. This invention obtains an SNP molecular marker related to the strength of salt tolerance in largemouth bass by performing correlation analysis on the salt tolerance of extreme and sensitive individuals. The SNP molecular marker, as shown in SEQ ID NO:1, is located at position 501 and has three genotypes: TT, TG, and GG. The GG genotype largemouth bass exhibits a significantly longer survival time under salinity stress than the TG and TT genotypes. By detecting the genotype of this SNP molecular marker, largemouth bass parents with strong salt tolerance can be accurately selected, which can be effectively used for marker-assisted breeding of largemouth bass.

The invention relates to the field of electric power transaction data settlement, in particular to an electric power transaction data settlement method and system based on big data. According to the characteristics of the power transaction data, abnormal data in the first basic data are screened, an abnormal region is selected for subsequent further calculation, a power consumption matrix and a power consumption change matrix are established based on the two aspects of the region and the user, association is performed through an association matrix, and the power consumption change matrix is obtained. An average value matrix and a standard deviation matrix are calculated according to the incidence matrix, so that a judgment matrix is further constructed to represent the power consumption range of the user, and by constructing an evaluation matrix and calculating an anomaly threshold, the anomaly index of each user in the evaluation matrix can be compared with the anomaly threshold, so that the power consumption range of the user can be evaluated. Judging whether each user is abnormal or not within a certain period of time; the problem that the accuracy of the electric power transaction data settlement result is poor due to the fact that the accuracy of the collected data is difficult to guarantee in the electric power transaction data settlement process at present is solved.