Abstract: A method for preserving and strengthening seedlings in a continuous cropped cotton field with soil moisture deficiency in a desert oasis includes the steps of seedbed establishment, sowing and drip irrigation tape laying, soil moisture supply through drip irrigation after sowing, and field management after emergence. Within 0-2 days of a suitable sowing period for cotton, land plowing, harrowing and smoothing operations are completed, wherein a combined land preparer adopts a diverting soil leveling frame design that does not comprise any harrow groups. The drip irrigation tape is either a drip irrigation tape with a labyrinth on one side or a drip irrigation tape inlaid with emitters inside. After sowing, the first drip irrigation for soil moisture supply is generally carried out within 24 hours, and the second drip irrigation is followed after 3 to 5 days. After the cotton emerges, the planting rows are then covered with soil.

Abstract: The present invention relates to an automatic history matching system for an oil reservoir based on transfer learning, comprising a data reading module, a population reinitializing module, an optimization module, a simulated calculation module, a comparative judgment module and an output module, wherein the data reading module reads an optimized result of an existing oil reservoir, outputs the optimized result to the population reinitializing module, obtains an initial population of a new oil reservoir by calculation and outputs the initial population to the optimization module.

Abstract: A method for preserving and strengthening seedlings in a continuous cropped cotton field with soil moisture deficiency in a desert oasis includes the steps of seedbed establishment, sowing and drip irrigation tape laying, soil moisture supply through drip irrigation after sowing, and field management after emergence. Within 0-2 days of a suitable sowing period for cotton, land plowing, harrowing and smoothing operations are completed, wherein a combined land preparer adopts a diverting soil leveling frame design that does not comprise any harrow groups. The drip irrigation tape is either a drip irrigation tape with a labyrinth on one side or a drip irrigation tape inlaid with emitters inside. After sowing, the first drip irrigation for soil moisture supply is generally carried out within 24 hours, and the second drip irrigation is followed after 3 to 5 days. After the cotton emerges, the planting rows are then covered with soil.

Abstract: A charging state analysis method of an electric vehicle based on electrical characteristic sequence analysis is provided. The method includes following steps: step S1, obtaining voltage sampling data and current sampling data of the electric vehicle during charging; step S2, setting a time interval, so as to divide the voltage sample data and the current sampling data obtained in step S1 into multiple data sets; step S3, calculating an electrical characteristic vector of each time interval; step S4. adding the calculation results of Step S3 to a temperature sensing value T, and generate an electrical characteristic sequence of whole charging cycle; step S5, inputting the electrical characteristic sequence of the electric vehicle into a trained TRNN in sequence to obtain corresponding results; if the result is 1, it is normal; if the result is 0, it is abnormal.

Abstract: A differentiated real-time injection-production optimization adjustment method of an intelligent injection-production linkage device belongs to the field of oil reservoir injection-production technologies.

Abstract: Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.

Abstract: The invention discloses a charging state analysis method of a electric vehicle based on electrical characteristic sequence analysis. The method includes following steps: step S1, obtaining voltage sampling data and current sampling data of the electric vehicle during charging; step S2, setting a time interval, so as to divide the voltage sample data and the current sampling data obtained in step S1 into multiple data sets; step S3, calculating an electrical characteristic vector of each time interval; step S4. adding the calculation results of Step S3 to a temperature sensing value T, and generate an electrical characteristic sequence of whole charging cycle; step S5, inputting the electrical characteristic sequence of the electric vehicle into a trained Time Recurrent Neural Network (TRNN) in sequence to obtain corresponding results; if the result is 1, it means normal; if the result is 0, it means abnormal.

Abstract: A method for programming the energy storage device in power-gas coupling system based on reliability constraints is provided. The method includes: obtain the parameters and operation condition of each equipment of the power-gas coupling system in a year; determine the different operating states of the system. A programming model of the energy storage device based on reliability constraints is constructed based on the operating state of the system, and benders decomposition algorithm is adopted to calculate the programming model, so that the programming scheme of the energy storage device is obtained. Considering not only the economy but also the reliability of the system, which is more accurate, comprehensive and effective than the previous programming method; the present invention is of great significance to improve the reliability of the electric power system and ensure the safe and reliable operation of the electric power system.

Abstract: A non-intrusive load identification method based on the Power Fingerprint characteristics of the load is provided. The method includes: S1, collecting Power Fingerprint characteristic data of several loads of the same type; S2, after preprocessing Power Fingerprint characteristic data of load, establishing convolution neural network based on attention mechanism to learn load characteristics; S3, using sliding time window algorithm to realize load switching event detection, In order to extract the change of electrical data of user bus before and after the switching event, the non-intrusive load identification problem is converted into the single load identification problem; S4, the load identification is realized, and the extracted electrical information features of single load are identified using the trained model.

Abstract: The present invention relates to an automatic history matching system for an oil reservoir based on transfer learning, comprising a data reading module, a population reinitializing module, an optimization module, a simulated calculation module, a comparative judgment module and an output module, wherein the data reading module reads an optimized result of an existing oil reservoir, outputs the optimized result to the population reinitializing module, obtains an initial population of a new oil reservoir by calculation and outputs the initial population to the optimization module; the optimized result is outputted to the simulated calculation module to obtain oil reservoir production simulated data, and the oil reservoir production simulated data is outputted to the comparative judgment module; when an error between the simulated data and observed data meets the requirement, the optimized result is outputted to the output module, and the system operation is completed; and if the error does not meet the requirem

Abstract: The present invention discloses a method for programming the energy storage device in power-gas coupling system based on reliability constraints, obtain the parameters and operation condition of each equipment of the power-gas coupling system in a year; determine the different operating states of the system; A programming model of the energy storage device based on reliability constraints is constructed based on the operating state of the system, and benders decomposition algorithm is adopted to calculate the programming model, so that the programming scheme of the energy storage device is obtained. Considering not only the economy but also the reliability of the system, which is more accurate, comprehensive and effective than the previous programming method; the present invention is of great significance to improve the reliability of the electric power system and ensure the safe and reliable operation of the electric power system.

Abstract: Disclosed are a halogen-free fire-retardant polyamide composition, and a preparation method and application thereof. The halogen-free fire-retardant polyamide composition is prepared from 35 to 71.5% of a semi-aromatic polyamide, 10 to 35% of a fire retardant and 0 to 50% of an inorganic reinforcing filler, the terminal amino group content of the semi-aromatic polyamide being 80 to 150 mol/t. The halogen-free fire-retardant polyamide composition of the present invention has good heat stability and releases only a small amount of gas in production; mold dirt is not easily formed, and the halogen-free fire-retardant polyamide composition can be produced continuously.

Abstract: The present invention discloses a heat-resistant polyamide composition and application thereof. The composition comprises the following components in percentage by weight: 40% to 90% of heat-resistant polyamide resin, 5% to 35% of mineral fiber A, 0 to 35% of mineral filler B, 0.1% to 1% of light stabilizer, 0.1% to 1% of flow modifier and 0.1% to 1% of antioxidant. In the present invention, heat-resistant polyamide resin with the ratio of amine-terminated group and carboxyl-terminated group between 0.1 and 0.8 is selected to be matched with deformed glass fibers with an aspect ratio of 2 to 6, the mineral filler B and the flow modifier to obtain the heat-resistant polyamide composition.

Abstract: Disclosed are a halogen-free fire-retardant polyamide composition, and a preparation method and application thereof. The halogen-free fire-retardant polyamide composition is prepared from 35 to 71.5% of a semi-aromatic polyamide, 10 to 35% of a fire retardant and 0 to 50% of an inorganic reinforcing filler, the terminal amino group content of the semi-aromatic polyamide being 80 to 150 mol/t. The halogen-free fire-retardant polyamide composition of the present invention has good heat stability and releases only a small amount of gas in production; mold dirt is not easily formed, and the halogen-free fire-retardant polyamide composition can be produced continuously.

Abstract: The present invention discloses a heat-resistant polyamide composition and application thereof. The composition comprises the following components in percentage by weight: 40% to 90% of heat-resistant polyamide resin, 5% to 35% of mineral fiber A, 0 to 35% of mineral filler B, 0.1% to I% of light stabilizer, 0.1% to 1% of flow modifier and 0.1% to 1% of antioxidant. In the present invention, heat-resistant polyamide resin with the ratio of amine-terminated group and carboxyl-terminated group between 0.1 and 0.8 is selected to be matched with deformed glass fibers with an aspect ratio of 2 to 6, the mineral filler B and the flow modifier to obtain the heat-resistant polyamide composition.