Abstract: The present invention discloses a method for autonomous mission planning of Carbon Satellite, which triggers autonomous mission planning for the satellite when it detects the satellite switching from a shadow area to a light area, comprising: determining planning time sequence, wherein the planning time sequence comprise several time nodes; and then, for each time node, carrying out a prediction of the ground attributes of the sub-satellite point, and setting observation arc segment according to the prediction result; and finally, determining the load power-on-off time sequence according to the observation arc segment.

Abstract: A voltage-adaptive laser driving circuit and a control method thereof. The circuit includes: a switching power supply, a laser, a constant current driving circuit, a current setting circuit, an MCU control circuit, a voltage acquisition circuit and a voltage setting circuit; the switching power supply is connected to the laser and the voltage setting circuit respectively and used for providing electrical energy for the laser and the voltage setting circuit; and the laser is connected to the switching power supply and the constant current driving circuit respectively and used for generating laser light.

Abstract: A stroboscopic stepped illumination defect detection system for appearance defect detection of a product is provided. The system includes an image extraction unit, a brightness adjustment unit, a data processing unit, and a stroboscopic control unit. The image extraction unit is connected to the stroboscopic control unit and used for obtaining stable and clear images in various transmission/reflection visual bright fields/dark fields; and the brightness adjustment unit is connected to the stroboscopic control unit and used for setting various transmission/reflection visual bright fields/dark fields and converting in the various transmission/reflection visual bright fields/dark fields.

Abstract: A method of preparing a flavor composition containing D-allulose includes: (1) weighing D-allulose, mogroside, steviol glycoside and trichlorosucrose in parts by weight, and mixing them evenly to obtain a mixed powder; (2) degassing, compressing, and rolling the mixed powder, and extruding the raw materials into flakes; and (3) crushing and granulating the shaped flakes to obtain the flavor composition. D-allulose is used as the main raw material, and added high-intensity sweeteners as auxiliary raw materials. After the raw materials are mixed evenly, dry granulation is adopted, and the powder is degassed and pre-compressed by using the crystal water in the raw materials, and squeezed by a hydraulic roller to form a bonding force between the various sweetener molecules to form flakes, and the flakes are processed by processes such as crushing and granulating to obtain the flavor composition granules containing D-allulose with the various sweeteners integrated uniformly as a whole.

Abstract: The invention discloses a method for treating raw materials of plant-derived food, wherein the method comprises the following steps: mixing raw materials of plant-derived food with a solution containing photosensitizer to obtain a mixing liquid; carrying out light treatment of the mixing liquid; collecting raw materials in the mixing liquid subjected to light treatment, and performing drying treatment of the raw materials. The method can effectively realize sterilization effect, especially effectively reduce spore contamination, so as to ensure the safety of food and extend the shelf life; besides, the method can keep the original color, flavor, taste and nutrition contents of plant-derived food, and improve the edible value of plant-derived food.

Abstract: The present invention relates to a method of estimating lithium battery capacity based on a convolution long-short-term memory neural network (CNN-LSTM). The present invention obtains a model that lithium battery capacity estimation through the four steps: processing a lithium battery's data, selecting parameters of an improved convolution long-short-term memory neural network using a genetic algorithm, training the improved CNN-LSTM, and testing model. Hyper-parameters of the improved CNN-LSTM are optimized using the genetic algorithm. Using the convolution neural network to extract the spatial features of lithium battery charge and discharge data, and then input these features into the improved long-short-term memory neural network to extract temporal features, estimated capacity is output through a fully connected layer finally. The present invention overcomes the limitation of the traditional model-based algorithm overly relying on the battery model and has the engineering application prospect.

Abstract: Provided are a polyphenol-rich and low-sugar beverage of fermented jujube pulp and a preparation method thereof. The fermented jujube pulp beverage is prepared with a method including the following steps: (1) selecting jujubes that are free of rot and are not insect-eaten, rinsing with pure water, pre-boiling in boiling water, and removing cores; (2) beating the jujubes whose cores are removed in step (1) into a beating machine to obtain a jujube pulp; (3) pouring the jujube pulp in step (2) into a colloid mill for processing to refine jujube peels to obtain a refined jujube pulp; (4) subjecting the refined jujube pulp to ultra-high-pressure sterilization; and (5) inoculating Streptococcus thermophilus into the jujube pulp after the sterilization in step (4), and performing a fermentation cultivation to obtain a fermented jujube pulp.

Abstract: Provided is a method for developing biological trace evidence on a porous object, including immersing a porous object in a biological fluorescent development reagent or spraying the reagent on the porous object, drying the porous object in an environment having a relative humidity of less than 40% at a temperature of 50° C.-120° C. irradiating the dried porous object with a laser having a wavelength of 532 nm and a full width at half-maximum of less than 1 nm, controlling a surface of the porous object with an illuminance of over 300,000 lux, and using a cut-off filter under 540 nm to develop the biological trace evidence. A raw material formulation of the reagent is, in percent by weight, 0.02%-0.5% of indanedione, 4%-10% of ethyl acetate, 0.5%-1.5% of glycerol, 5%-15.5% of pure alcohol, and 73.5%-90% of petroleum ether.

Abstract: A method for developing and extracting biological trace evidence comprises the following steps: (1) using a biological fluorescent development reagent to process a porous carrier so as to develop biological trace evidence on the porous carrier, wherein a raw material formulation of the biological fluorescent development reagent is, in percent by weight: 0.01%-0.5% of indanedione, 4%-10% of ethyl acetate, 0.5%-1.5% of glycerol, 5%-15.5% of pure alcohol, and 73.5%-90% of petroleum ether; and (2) extracting the biological trace evidence to obtain DNA information of the biological trace evidence. For crime investigators who need to extract DNA evidence, the method enables targeted extraction of physical evidence, thereby greatly reducing workload, and furthermore, the method can also be used to develop and extract obscure or trace evidence, such as a fingerprint on a garment, thereby greatly improving investigation efficiency.

Abstract: A method for developing and extracting biological trace evidence comprises the following steps: (1) using a biological fluorescent development reagent to process a porous carrier so as to develop biological trace evidence on the porous carrier, wherein a raw material formulation of the biological fluorescent development reagent is, in percent by weight: 0.01%-0.5% of indanedione, 4%-10% of ethyl acetate, 0.5%-1.5% of glycerol, 5%-15.5% of pure alcohol, and 73.5%-90% of petroleum ether; and (2) extracting the biological trace evidence to obtain DNA information of the biological trace evidence. For crime investigators who need to extract DNA evidence, the method enables targeted extraction of physical evidence, thereby greatly reducing workload, and furthermore, the method can also be used to develop and extract obscure or trace evidence, such as a fingerprint on a garment, thereby greatly improving investigation efficiency.

Abstract: Provided is a method for developing biological trace evidence on a porous object, including immersing a porous object in a biological fluorescent development reagent or spraying the reagent on the porous object, drying the porous object in an environment having a relative humidity of less than 40% at a temperature of 50° C.-120° C. irradiating the dried porous object with a laser having a wavelength of 532 nm and a full width at half-maximum of less than 1 nm, controlling a surface of the porous object with an illuminance of over 300,000 lux, and using a cut-off filter under 540 nm to develop the biological trace evidence. A raw material formulation of the reagent is, in percent by weight, 0.02%-0.5% of indanedione, 4%-10% of ethyl acetate, 0.5%-1.5% of glycerol, 5%-15.5% of pure alcohol, and 73.5%-90% of petroleum ether.