34results about How to "Fully extracted" patented technology

The utility model discloses a dendrobium officinale polysaccharide extraction device. According to the technical key points, the device comprises a crushing mechanism for crushing dendrobium officinale; the polysaccharide release mechanism is connected with the crushing mechanism and is used for releasing polysaccharide in a binding state in the dendrobium officinale; the separation mechanism is connected with the polysaccharide release mechanism and is used for separating polysaccharide from other components; wherein a recycling mechanism is further arranged between the separating mechanism and the smashing mechanism, the two ends of the recycling mechanism communicate with the separating mechanism and the smashing mechanism correspondingly, the recycling mechanism comprises a filter screen, the filter screen is used for filtering separated residues, and the recycling mechanism transfers the residues on the filter screen into the smashing mechanism. The device has the advantages that the recovery mechanism enables the dendrobium officinale which is not completely crushed to return to the crushing mechanism for secondary crushing through back flushing, so that polysaccharide in the dendrobium officinale can be fully extracted; and part of disintegrating slag of which the polysaccharide is completely crushed or completely extracted enters the impurity removal mechanism to be removed together with other non-polysaccharide components.

The utility model relates to trace liquid supply equipment for printing and dyeing and relates to the technical field of liquid supply equipment, in order to solve the problems that a traditional manual liquid supply mode is low in efficiency and prone to errors, the trace liquid supply equipment comprises a supporting frame and an integrated box body, at least two sets of metering pumps are arranged on the supporting frame, and the integrated box body is arranged below the supporting frame; the interior of the integrated box body is divided into a plurality of independent cavities, the independent cavities are used for containing different agents respectively, the multiple sets of metering pumps correspond to the independent cavities respectively, the input ends of the metering pumps communicate with the interiors of the corresponding independent cavities, and metering junction stations are arranged at the output ends of the metering pumps. The outlet ends of the metering junction stations are jointly provided with a main output header pipe, and the integrated box body is provided with a backwashing mechanism used for cleaning the main output header pipe. The device has the effects that integrated medicament supply is achieved, the production efficiency is greatly improved, and the accuracy and stability of the medicament adding amount are ensured.

This invention discloses a method and system for predicting solar radio bursts based on a complete solar magnetograph, belonging to the field of solar radio technology. It includes: acquiring a complete solar magnetograph; inputting the complete solar magnetograph into a pre-trained improved ResNet model to obtain image feature vectors; dividing the image feature vectors into pseudo-time series and inputting them into an improved LSTM network to obtain solar radio burst prediction results; the improved ResNet model introduces a custom residual layer to extract small-scale features from the complete solar magnetograph, and the improved LSTM network introduces a gating mechanism to process the image feature vectors at different time scales. This method can improve the accuracy of solar radio burst prediction without utilizing solar radio spectrum data; it solves the problem that existing predictions using solar radio spectra are easily interfered with by the accuracy of the input data observations.

The utility model discloses a crushing device for extracting ossein, which relates to the technical field of ossein extracting and crushing appliances and comprises a support and an aggregate collecting mechanism, a feeding hopper is arranged at the top of the support, a roller cavity is formed in the feeding hopper, a crushing mechanism is arranged in the roller cavity of the aggregate collecting mechanism, and a supporting plate is arranged in the middle of the support of the aggregate collecting mechanism. A screening mechanism is arranged at the top of the aggregate collecting mechanism supporting plate, and an aggregate collecting mechanism is correspondingly arranged below the screening mechanism of the aggregate collecting mechanism; according to the aggregate crushing and screening device, aggregate can be efficiently crushed conveniently through cooperative work of the crushing roller and the motor in the crushing mechanism, the crushed aggregate can be screened conveniently through cooperation of the filter plate and the vibration motor in the screening mechanism, and finally the problems that the aggregate which does not meet the granularity requirement is mixed into a qualified product and the material is prone to splashing are solved.

A non-intrusive multi-load load monitoring method and system based on shared time-series coding and load-specific refinement is disclosed, relating to the fields of smart grid, non-intrusive load monitoring, and energy data analysis. This method addresses the lack of existing non-intrusive multi-load load monitoring methods that can simultaneously address shared modeling, load difference representation, training stability, and engineering deployment feasibility. The process involves generating a fixed-length input window; after the input window is compressed to form latent space temporal features, multiple shared time-series coding modules extract the shared time-series representations for the corresponding multiple loads; these shared time-series representations are then fed into multiple independent load-specific refinement heads, which generate power predictions and state predictions for the target loads; residual gating is applied to the power predictions of the target loads using the state predictions, yielding the final decomposition results for the multiple target loads.

This invention discloses a weakly supervised open-pit mining site identification method based on adaptive SAM and automatic knowledge learning. The method includes: S1, collecting images of the study area and extracting three-band images using an input spectral adapter; extracting depth features using the feature extractor of the MobileSAM model; constructing a multi-scale perception and geometric adaptation module and obtaining image features by applying N² dilated convolutional units with different dilation rates to the depth features; S2, a scene classifier using predefined prototype features to guide image features in scene classification; then, a cue generator using class activation mapping to obtain a heatmap for scene classification and selecting a set of high-confidence cue points; and a pseudo-label generator constructing triplet contrast constraints; S3, the mask decoder of the MobileSAM model combining cue information and image features to perform cue decoding and obtain the open-pit mining site identification result. This invention combines a set of high-confidence cue points with image features for cue decoding to obtain efficient and high-precision open-pit mining site identification results.

The utility model relates to the technical field of soybean protein extraction, and discloses a soybean protein multi-stage extraction device which comprises an extrusion box and a supporting frame, a grinding assembly is installed at the bottom of the supporting frame, two first inclined plates are fixedly connected to the inner side of the extrusion box, two second inclined plates are fixedly connected to the inner side of the extrusion box, and the two first inclined plates and the two second inclined plates are fixedly connected. Two extrusion rollers are rotationally connected to the inner side of the extrusion box, a third servo motor is fixedly connected to the right side of the extrusion box, the output end of the third servo motor penetrates through the right side of the extrusion box and is fixedly connected to the right ends of the extrusion rollers, and fixing plates are fixedly connected to the front side and the rear side of the interior of the extrusion box. According to the soybean protein extraction device, the grinding disc is matched with the grinding table to conduct primary grinding treatment on soybeans, under driving of the third servo motor, residual protein in the soybeans is squeezed out, the soybeans adhering to the surfaces of the squeezing rollers are scraped away through the scraper, and under the condition that soybean waste is avoided, the residual protein in the soybeans is fully extracted.

A water tank of a water pick and the water pick, the water tank comprising a tank body and a water suction pipe, the tank body having a liquid storage cavity for storing liquid; the water suction pipe is integrally formed with the tank body and extends to the bottom of the liquid storage cavity, the water suction pipe has a liquid inlet and a liquid outlet that are in communication with each other, the liquid outlet is used to communicate with the main machine of the water pick, the liquid inlet is close to the bottom of the liquid storage cavity and communicates with the liquid storage cavity, and the liquid outlet is farther away from the bottom of the liquid storage cavity than the liquid inlet. The water suction pipe is designed to be integrated with the water tank, a hose does not need to be independently arranged, the assembly steps of the water suction pipe are reduced, the risk of water leakage is reduced, the water tank can be made of the same material as the tank body, corrosion resistance and aging resistance can be achieved, and even the structural strength and production efficiency can be improved.

The beverage extraction device comprises a first container, a second container, a cover body, a water feeding pipe, a filtering piece and a gas control mechanism, the second container is connected with the first container in a sealed mode, a first opening is formed in the top end of the first container, a second opening is formed in the bottom end of the second container, and the gas control mechanism is arranged on the cover body. One end of the water feeding pipe is located in the first container, the other end of the water feeding pipe extends into the second opening, the gas control mechanism comprises a gas pump, a ventilation pipeline and a pressure relief device, one end of the ventilation pipeline is connected with the gas pump, the other end of the ventilation pipeline is communicated with the first container, and the pressure relief device is connected with the gas pump. The ventilation pipeline is provided with a pressure relief device; according to the beverage extraction device, the air pressure is automatically adjusted in the working process, it can be ensured that liquid flows more smoothly between the first container and the second container through accurate air pressure control, full extraction of beverage raw materials is achieved, and therefore the beverage extraction effect and user experience are improved.

The application discloses a kind of light multi-scale image defogging methods based on attention mechanism, the method is first to the feature extraction of fog image;Then the feature map obtained is input MDSCA- NET network, and the fog-free image is reconstructed;The MDSCA- NET network includes several image defogging models, model fusion module;The image defogging model includes feature attention module, fog-free map generation module;The feature attention module is used to extract the pixel feature in feature map;The fog-free map generation module is used to generate initial defogging image for pixel feature map;The model fusion module is used to use alternating direction multiplier optimization algorithm to carry out model fusion to several image defogging models, and output final defogging image.Experiments show that the MDSCA- NET network proposed in the application obtains significant results under the comprehensive measurement of model performance and parameter quantity.

The invention provides a brewing and deacidification method of aroma-enhanced passion fruit wine, belongs to the technical field of fruit wine, and solves the technical problems of high acidity, poor taste and the like of existing fruit wine. According to the brewing and deacidification method of the aroma-enhanced passion fruit wine, passion fruits harvested in a grading mode are cleaned and then added into a smashing box to be smashed, and fruit pulp is obtained for use; the method comprises the following steps: cleaning glutinous rice, soaking the cleaned glutinous rice in water for 3-5 hours, steaming the cleaned glutinous rice, sprinkling water to cool the steamed glutinous rice, then adding the steamed glutinous rice into an enzymatic hydrolysate, adding a composite yeast agent into the enzymatic hydrolysate, and uniformly stirring to obtain a fermentation substrate; adding the fermentation substrate, distiller's yeast and fruit pulp into a fermentation tank, adding an acid reducing agent, and carrying out sealed fermentation; after the fermentation is completed, precipitating and filtering the passion fruit wine, then feeding the passion fruit wine into a storage tank for storage, sealing the precipitate after precipitation, and then filtering the passion fruit wine. The method has the advantages that the acidity of the passion fruit wine is reduced, the flavor of the passion fruit wine is improved, the filtering pressure is reduced, and the quality is improved.

This invention discloses a two-stage regulation method to improve ergothioneine production efficiency. Seed culture of *Pleurotus ostreatus* is inoculated onto a fermentation medium supplemented with H2O2 and fermented for 5-7 days. Then, H2O2 is added again to the fermentation medium for 0.5-1.5 hours to stimulate fermentation, followed by the addition of vitamin C. Fermentation is terminated after 1.5-2.5 hours, and the mycelium is collected for ergothioneine extraction. The ergothioneine production efficiency was increased by up to 58.81% compared to the original strain. This invention's production method is simple and easy to control, yields high ergothioneine production, and all ergothioneine is intracellular, making it easy to harvest and simplifying subsequent purification processes, making it suitable for industrial production.

The invention provides a three-terminal laminated solar cell based on a silicon nanowire structure, and relates to the technical field of solar cells. A first electrode layer is arranged in the perovskite top cell in the direction facing the incident light, a second electrode layer and a third electrode layer are arranged in the crystalline silicon bottom cell in the direction deviating from the incident light, and a plurality of nanowire structures are arranged on one side, facing the incident light, of an N-type silicon absorption layer at intervals. The nanowire structure can enhance coupling and propagation of long-wave photons to the N-type silicon absorption layer through a waveguide effect and a light field modulation effect, and the nanowire structure presents a sub-wavelength optical characteristic, so that an anti-reflection effect in a wide spectrum range is realized, and the absorption efficiency of the crystal silicon bottom cell on the long-wave photons is improved. In addition, by arranging a three-electrode structure, the overall energy output performance of the battery is improved.

The invention discloses an instant composition for assisting in improving memory and application of the instant composition. The traditional Chinese medicine composition comprises the following raw materials in parts by mass: 5-10 parts of thunberg fritillary bulb, 3-10 parts of allium macrostemon, 1-3 parts of turmeric, 10-20 parts of salvia miltiorrhiza, 5-10 parts of red peony root, 3-10 parts of peach kernel, 2-10 parts of safflower, 3-10 parts of immature bitter orange, 3-10 parts of mangnolia officinalis, 10-15 parts of rhizoma smilacis glabrae, 10-30 parts of prepared rehmannia root, 5-10 parts of Chinese yam, 4-10 parts of dogwood, 3-10 parts of rhizoma alismatis, 3-10 parts of radix achyranthis bidentatae, 3-10 parts of poria cocos and 3-10 parts of rhizoma atractylodis. Through the scientific compatibility of the selected 21 traditional Chinese medicines and the modern extraction and dosage form process, the multi-component and multi-target synergistic memory improvement is realized, and meanwhile, the traditional Chinese medicine composition has natural safety, efficient absorption and taking convenience.

This invention discloses a compound plant extract and its preparation method, belonging to the field of natural plant extraction technology. The compound extract is composed of a specific ratio of *Houttuynia cordata*, silkworm cocoon, *Cinnamomum camphora*, basil, *Salvia splendens*, lavender, fennel, cardamom, red dates, multi-petaled rose petals, and gourd seeds, prepared using an integrated process of "soaking-simultaneous boiling and distillation extraction". This invention, through optimized component compatibility and preparation process, solves the problems of volatile component loss and low utilization rate of effective components in traditional extraction methods. It possesses comprehensive effects of anti-inflammatory and soothing, antioxidant, psychosomatic regulation, and sleep aid, and can be applied in daily chemical, pharmaceutical, health care, and herbal beverage fields.

The application discloses a single-source domain target recognition generalization method, product, medium and equipment, relates to the field of domain adaptive target recognition, and comprises the following steps: generating a stylized image corresponding to an original image through a style feature space; encoding original image and stylized image features; jointly decoupling the original image and the stylized image features into domain-invariant features and domain-unique features; training a region candidate network using the domain-invariant features, and optimizing the network using orthogonal loss and target recognition loss functions; and inputting a complex unknown weather sea target image into the optimized network to obtain the category and position of the sea target in the complex unknown weather sea target image. The application can overcome the problems of difficulty in extracting domain-invariant features in complex weather data sets, single style generation and data generated being biased towards source domain distribution, and difficulty in method model generalization, improve the generalization ability of the model, and effectively improve the recognition ability of sea targets under different complex unknown weather conditions.

This invention relates to the field of traditional Chinese medicine technology, specifically to a method for preparing concentrated Astragalus membranaceus pills and its application, including the following steps: (1) preparing a clear extract by alcohol extraction; (2) making pills by plastic molding; (3) drying the pills at a constant temperature. In the pill-making process, this invention selects 100-mesh Astragalus membranaceus mixed fine powder and adopts a mass ratio of clear extract to fine powder of 1:2. Since the 100-mesh powder has a uniform particle size and a moderate specific surface area, it can fully contact and bond with the clear extract, avoiding the problem of the pills being rough and cracked due to excessive particle size and the pills being too fine due to excessive moisture dissipation. The 1:2 ratio makes the soft material suitable for its softness and hardness, so that it will not be loose and difficult to form due to excessive powder ratio, nor will it cause adhesion and blockage of the mold due to excessive clear extract ratio. Combined with the gradient humidity soft material preparation technology, 60% purified water is added first and mixed evenly, and then the remaining water is added in two batches. Low-frequency vibration is applied simultaneously for mixing, which can make the internal humidity of the soft material uniform and the bonding force stable, thereby obtaining wet pills with smooth surface, round shape and no cracks.

The application discloses a DMF waste liquid treatment system with a vapor compressor, which comprises a rectification module, a liquid treatment module and a gas treatment module, tower top water generated by the rectification module is treated in the liquid treatment module, and a gas phase generated by the rectification module is treated in the gas treatment module, the liquid treatment module comprises a deamination unit, a stripping unit and a sewage treatment unit, the deamination unit comprises a deamination tower, the stripping unit is communicated with the top of the deamination tower, the sewage treatment unit is communicated with the bottom of the deamination tower, a gas phase generated by the stripping unit and the sewage treatment unit is introduced into the gas treatment module, the gas treatment module comprises a incinerator and a waste heat boiler, and the waste heat boiler is used for providing energy for the rectification module, the deamination unit and the stripping unit. The DMF waste liquid treatment system of the application realizes recycling of resources, further improves the energy utilization rate, and reduces the pollution to the environment.

The method of the present application proposes a four-branch neural network remote sensing image fusion method and a computer readable medium. The present application carries out spectral dimension downsampling processing on each original hyperspectral image to obtain a multispectral image with low spectral resolution; carries out fuzzy processing and downsampling processing on the spatial dimension of each original hyperspectral image to obtain a hyperspectral image with low spatial resolution; constructs a four-branch neural network model, combines each multispectral image with low spectral resolution and each hyperspectral image with low spatial resolution for iterative optimization to obtain a trained four-branch neural network model; real-time acquisition of hyperspectral images, combining the real-time acquired hyperspectral images with the trained four-branch neural network model for fusion to obtain each predicted real-time hyperspectral image. The present application can fully extract spatial features and spectral features from hyperspectral and multispectral images, and has great advantages in terms of computational complexity and spatial complexity.

This invention belongs to the field of pharmaceutical analysis technology, specifically relating to a method for constructing characteristic chromatograms of Dajianzhong Decoction and a method for determining the content of its effective components. The construction method includes the preparation of a test solution, and under specific conditions, characteristic chromatograms 1 and 2 are obtained using UPLC-UV-ELSD chromatography. Characteristic chromatogram 1, obtained under ultra-high performance liquid chromatography and a UV detector, is specific to dried ginger and roasted Sichuan pepper, with characteristic peaks mainly consisting of gingerol components in dried ginger and amide alkaloids in roasted Sichuan pepper. Characteristic chromatogram 2, obtained under ultra-high performance liquid chromatography and an evaporative light scattering detector, is specific to ginseng, consisting entirely of ginsenosides, thus solving the problem of large differences in detection wavelengths and mutual interference between the two major categories of components.

This utility model relates to the field of comprehensive utilization technology of livestock and poultry blood, and discloses a device for extracting hemoglobin from livestock and poultry blood. The device includes a reaction vessel with an inlet at the top and an outlet at the bottom. An internal stirring shaft with several shearing blades is installed on the stirring shaft. A hollow jacket for condensation is provided on the outer wall of the reaction vessel. Several ultrasonic generators are detachably mounted on the reaction vessel. Several connecting pipes are connected through the reaction vessel, with a positioning sleeve with a sealing groove at the end of each connecting pipe and a sealing ring fitted on the positioning sleeve. The ultrasonic generators are sealed to the reaction vessel body via an installation kit. This utility model has a simple structure, compact design, and is easy to use. The ultrasonic generators are detachably mounted on the reaction vessel body and sealed by the installation kit, improving the processing efficiency of livestock and poultry blood, ensuring thorough cell disruption, and facilitating hemoglobin extraction. Simultaneously, the hollow jacket on the outside of the reaction vessel for cooling and condensation effectively reduces the temperature rise caused by the operation of the ultrasonic generators.

The invention relates to the technical field of medicinal and edible products, and discloses medicinal and edible paste capable of improving gastric motility insufficiency, the medicinal and edible paste is hawthorn and pericarpium citri reticulatae six-ingredient paste, and the hawthorn and pericarpium citri reticulatae six-ingredient paste comprises, by weight, 8-12 g of raw malt, 8-12 g of pericarpium citri reticulatae, 13-17 g of fructus citri stir-fried with honey and bran, 4-6 g of perilla leaves, 4-6 g of agastache rugosus and 13-17 g of hawthorn. The six raw materials are all medicinal and edible substances, common side effects of chemical drugs are avoided, multiple effects of regulating qi (dried tangerine or orange peel and citron), harmonizing stomach (perilla leaves), promoting digestion (hawthorn and malt), tonifying spleen (wrinkled gianthyssop herb and malt), soothing liver (citron) and the like are taken into consideration, and synergistic interaction instead of single target effect is achieved aiming at core pathogenesis (liver depression, qi stagnation and weakness of spleen and stomach) of gastric motility deficiency. The oral liquid can be directly taken orally or brewed with warm water, the use pain point under the scenes of going out, traveling, working and the like is solved, and the user experience is improved.

The utility model discloses a raw material extraction device for light fragrance rose perfume production in raw material extraction technical field, including filter box, the top of filter box is installed with raw material squeezing component, and raw material squeezing component includes squeezing barrel body, and the top of squeezing barrel body is provided with seal cover body, and the inside of squeezing barrel body is provided with centrifugal separation bucket, and the bottom one side of squeezing barrel body is connected with first discharge pipe, and the cooperation use between filter box and raw material squeezing component can carry out the crushing squeezing and centrifugal filtration treatment to light fragrance rose raw material, can also carry out the filtration treatment to the crushing fine powder mixed in light fragrance rose slurry, and the crushing fine powder filtered out can be re -transported to the inside of squeezing barrel body through circulation conveyor, can carry out secondary crushing filtration treatment to crushing fine powder, can also carry out centrifugal stirring treatment to the light fragrance rose slurry squeezed originally, has improved the extraction rate of light fragrance rose essence, can effectively reduce the waste of precious rose raw material.

This invention discloses a method for detecting multiple components in liqueur. The liqueur sample is extracted four times with water-saturated n-butanol, evaporated to dryness, and reconstituted with a 50% (v / v) methanol aqueous solution. A C18 column (250 mm × 4.6 mm, 5 μm particle size, 12 nm pore size) is used for gradient elution with acetonitrile-water. The detection wavelength is switched according to the retention time intervals of 14 target components, and quantification is performed using an external standard curve. After detection, the mobile phase is restored to 12% acetonitrile and 88% water, and the column is equilibrated for 10 min. This method matches the chromatographic retention time sequence formed by gradient elution with the detection wavelength sequence, enabling simultaneous detection and quantification of 14 target components in the same high-performance liquid chromatography (HPLC) analysis.

This utility model relates to the field of Kathon production technology, and more particularly to a separation and purification system for Kathon production. The system includes a first adsorption device connected to a feed liquid conveying pipeline; the outlet of the first adsorption device is connected to a filtration device; the outlet of the filtration device is connected to an extraction column; the organic phase outlet of the extraction column is connected to a distillation column; the vent of the distillation column is connected to a condensation device; the condensate outlet of the condensation device is connected to a buffer tank; the outlet of the buffer tank is connected to a second adsorption device; the outlet of the second adsorption device is connected to a first resin column; the outlet of the first resin column is connected to a second resin column; the outlet of the second resin column is connected to a crystallization vessel; and the crystal outlet of the crystallization vessel is connected to a drying device. This separation and purification system is rationally designed, achieving the separation and purification of MIT (methyl methacrylate), improving the purity of MIT, and thus ensuring the purity of the Kathon product.

This invention discloses a classification method for motor imagery tasks based on 3D interpolation and 3DCNN. First, bandpass filtering is applied to the motor imagery EEG signals. Then, Fast Fourier Transform (FFT) is used to perform frequency domain transformation on the EEG signals of each electrode, and the power value is calculated. Next, the 3D coordinates of the scalp electrodes are projected into 3D space, and a 3D interpolation algorithm is used to interpolate the power values, generating a 3D interpolated feature image containing the true 3D spatial location information of the electrodes. Finally, a 3D convolutional neural network (3DCNN) is designed to match the characteristics of the 3D interpolated feature image for feature extraction and classification. This invention reflects the depth information of motor imagery activation, encodes the precise three-dimensional spatial information of the electrodes into the 3D interpolated image, and effectively matches the spatial convolution capability of 3DCNN.

The utility model discloses a continuous plate-type extractor which comprises a sieve plate, the sieve plate is mounted in an extractor body, an overflow weir is mounted on the side edge of the top of the sieve plate, a baffle is mounted on one side, far away from the overflow weir, of the top of the sieve plate, a downcomer aligned with the overflow weir is mounted at the bottom of the sieve plate, and sieve holes I and sieve holes II are uniformly formed in the sieve plate. According to the continuous plate type extractor, the second sieve hole and the first sieve hole are both of a prismatic table structure, the top sides of the second sieve hole and the first sieve hole coincide, so that no gap exists between the tops of the second sieve hole and the first sieve hole, a gap exists between the bottom of the second sieve hole and the bottom of the first sieve hole, a 4, 4-oxo-bis-benzenesulfonyl chloride liquid phase can completely flow downwards, and the number of the 4, 4-oxo-bis-benzenesulfonyl chloride liquid phase is reduced. According to the 4, 4-oxydibenzenesulfonyl chloride extractor, the residual quantity of a 4, 4-oxydibenzenesulfonyl chloride liquid phase on the sieve plate is reduced, so that the liquid phase can fully flow out from the kettle liquid outlet pipe, the waste amount of the 4, 4-oxydibenzenesulfonyl chloride liquid phase is reduced, the 4, 4-oxydibenzenesulfonyl chloride can be fully extracted through the extractor body, and the purity of the 4, 4-oxydibenzenesulfonyl chloride is improved.

This utility model relates to the field of waste heat recovery technology, specifically a waste heat recovery and utilization device for a graphitization furnace, comprising a shell; flanges are fixedly installed at both ends of the shell; a recovery assembly is disposed inside the shell, the recovery assembly includes heat exchange tubes installed inside the shell, and an inlet pipe is fixedly installed on one side of the top of the heat exchange tubes. This utility model utilizes multiple sets of guide plates fixedly installed at the bottom of the mounting block, with the guide plates arranged in a crisscross pattern. Each set of guide plates is positioned between the gaps of the heat exchange tubes. When waste gas enters the shell through one flange, it exchanges heat with the medium inside the heat exchange tubes. Simultaneously, the waste gas flows in a tortuous manner under the action of the guide plates, fully releasing heat before exiting from the other flange. This significantly increases the contact area and time between the waste gas and the heat exchange tubes, enabling the full extraction of heat from the waste gas and improving heat exchange efficiency.

This invention discloses a method, apparatus, device, and storage medium for image restoration affected by weather, belonging to the field of information recognition technology. The method includes: acquiring a blurred image affected by weather as input; constructing an image pyramid through interpolation downsampling and spatial interaction operations; downsampling the original image to multi-scale resolutions of 1 / 2, 1 / 4, and 1 / 8 respectively; extracting features from the multi-scale image using a feature extraction unit to enhance high-frequency response; performing contextual association modeling on the features using a feature modeling unit with an information transmission constraint mechanism; performing upsampling operations and skip connections on the features at each scale; and fusing the restored image features at each scale using a feature fusion module; training and inferring the model using a composite loss function to generate a high-resolution restored image output. This invention effectively improves the ability to restore image details and preserve structure under severe weather conditions.

The application discloses a kind of linoleic acid waste residue recycling resource scheduling digital management system, it is related to industrial waste residue recycling processing technical field, its technical points are: the physical correlation of waste residue component and equipment multi-order vibration is established, the vibration characteristic spectrum of its processing whole process is mapped by extracting the multidimensional component characteristics of each batch of waste residue, the technical problem that waste residue is regarded as homogenization material when scheduling, vibration risk cannot be predicted is solved;Afterwards, based on the cognition of the vibration characteristics of each batch, instead of passively suffering from the damage of equipment caused by vibration superposition, the core target of full-band vibration energy cancellation is taken, the phase conjugate of each order vibration mode between different batches is calculated, the low resonance batch combination sequence is constructed, and the vibration energy that originally enhances each other is mutually cancelled in the equipment. From the beginning of scheduling decision, prevent the generation of non-steady-state vibration.