2305results about How to "Efficient delivery" patented technology

The invention discloses a transformer substation inspection robot positioning and mapping method based on point-line feature fusion. According to the method, a binocular camera is used for collecting point-line features in an image frame, and high-quality long-line features are quickly obtained based on an adaptive criterion optimized EDLines algorithm; the spatial depth of point-line features is obtained through triangularization of a binocular camera, and redundant line features are filtered based on a length response threshold strategy of the spatial depth of a transformer substation. Based on a point-line pole feature pole plane constraint method, IMU information and visual information are combined, gyroscope zero offset is independently estimated and optimized, IMU pre-integration information is updated, and a more accurate initial posture of the inspection robot is obtained. A point-line feature dictionary based on a transformer substation scene and a large-scale equipment target detection model in a transformer substation are made, closed-loop detection is performed through transformer substation equipment road signs and point-line features, and rapid relocation correction is performed on sliding windows of a current key frame and a previous fixed key frame number. And finally, the pose of the substation inspection robot and a substation scene map are optimized through global BA, and the problem of large-scale scene error drift accumulation is solved.

The invention relates to a river water ecological space global monitoring method and system, and the method comprises the steps: recognizing and segmenting a water body image from an RGB image photographed by an unmanned plane based on a U-Net deep learning model, and forming a water body recognition image; converting and reconstructing the RGB image aerially photographed by the unmanned aerial vehicle into a water body hyperspectral image based on a hyperspectral information continuation reconstruction model; the U-Net deep learning model extracts a multispectral segment sequence of pixel points of a water body in the water body hyperspectral image and sends the multispectral segment sequence to the classification regression model; and calculating the multispectral segment sequence based on a classification regression model so as to label a concentration classification result of chlorophyll a in a water body hyperspectral image, thereby realizing visualization of chlorophyll concentration. The method gets rid of limitation of technical means and time acquisition of hyperspectral data acquisition, and realizes the effect of acquiring river global images at any time and at any moment.

The invention discloses a remote sensing target detection method based on a convolutional neural network, and the method comprises the steps: 1, constructing a full-scale enhanced alignment detection network model OSEADet comprising Backbone, Neck and Head, the Neck is an enhanced feature pyramid network EFPN, adding a P2 detection layer on the PAFPN network, enabling a feature map P2 to pass through SPDConv, outputting a feature map rich in small target information, fusing the feature map with a feature map P3, and obtaining a feature map P3; carrying out feature integration by using a CSP thought and a CSPF module; the Head comprises three dynamic task alignment sharing detection heads DSTA, the DSTA comprises a bounding box regression branch and a classification branch which are respectively used for predicting a target position and a target category, the tasks of the three DSTA are combined through group convolution, task interaction features are learned from a plurality of convolution layers, joint features are obtained, interaction among the tasks is increased, and the tasks are dynamically adjusted and aligned through a TaskDecomposition layer; 2, carrying out training and verification on the OSEADet; and 3, the trained OSEADet is used for predicting the position and category of the remote sensing target, so that the detection precision is high, and the remote sensing target can be detected in real time.

The invention relates to the technical field of obstacle avoidance early warning, in particular to an obstacle avoidance early warning method and system for a robot. The method comprises the following steps: acquiring motion data and moving target point data of a robot; robot motion mode classification is conducted on the robot motion data, and a robot motion mode and a robot static mode are generated; performing environment detection on the moving target point data by using a built-in laser radar of the robot according to the static mode to obtain standard static environment detection data; and planning the path according to the standard static environment detection data, and generating initial running path planning data of the robot. According to the invention, the obstacle avoidance early warning precision and real-time performance of the robot in a complex environment are improved by accurately distinguishing static and dynamic objects, reconstructing the motion trail and planning and adjusting the path.

The invention relates to the technical field of bolt mounting equipment, in particular to an angle steel tower bolt perforation mounting method. By means of autonomous navigation of the installation robot and flexible operation of the mechanical arm, rapid positioning and taking-out of bolts and nuts are achieved, and the risk of manual climbing and operation is reduced. Accurate insertion and preliminary positioning of the bolt are ensured through accurate control of the mechanical arm, then the fastening effect is enhanced by combining impact tightening with the intermittent hammering technology, the fit clearance between the angle steel is effectively eliminated, and the bolt is prevented from loosening. The whole process is highly automatic, personal errors are reduced, and the mounting quality and the working safety are improved.

The invention discloses a wireless communication network data secure transmission method and system, and relates to the technical field of secure transmission. During system operation, agricultural monitoring data are collected in real time through various sensor devices arranged in an agricultural environment, encryption processing is performed by using a symmetric encryption algorithm, and a dynamic key length adjustment mechanism is supported; a random number generator is integrated, unified management is performed on key generation, distribution, updating and destruction in a system, a timestamp or a random serial number is embedded into each data packet, the uniqueness of the timestamp or the serial number is verified at a receiving end, so that replay attacks are resisted, and the data are comprehensively analyzed and evaluated according to a set algorithm, so that the replay attack is prevented. The method comprises the following steps: acquiring a security data transmission performance index SDTP through calculation, generating a monitoring report, detecting abnormal conditions in a data transmission process, including channel quality reduction, data loss or verification failure, and providing a visual monitoring result.

The invention provides an Al-Mg alloy negative electrode current collector, a preparation method thereof and a negative-electrode-free sodium metal battery, and relates to the field of batteries. The preparation method of the Al-Mg alloy negative electrode current collector comprises the following steps: sputtering magnesium on the surface of an aluminum foil by adopting a magnetron sputtering mode, and forming a magnesium coating on the aluminum foil; and calcining the aluminum foil with the magnesium plating layer to obtain the Al-Mg alloy negative electrode current collector, and the Al-Mg alloy negative electrode current collector comprises an aluminum substrate layer and an Al-Mg alloy layer located on the aluminum substrate layer. According to the present invention, the Al-Mg alloy with characteristics of high sodium affinity and stable three-dimensional structure is introduced into the negative electrode current collector so as to induce the uniform deposition of sodium, inhibit the growth of sodium dendrites, reduce the loss of active sodium, and prolong the cycle life of the battery; the negative electrode current collector can be used in a sodium metal battery without a negative electrode. In addition, the method has the advantages of being easy to operate and low in raw material cost, and large-scale application and popularization are facilitated.

The invention discloses a classroom behavior identification method based on a deformable multi-scale adaptive detection network. The classroom behavior identification method comprises the following steps: building the deformable multi-scale adaptive detection network; dividing the classroom behavior sample data set into a training set sample data set, a verification set sample data set and a test set sample data set, extracting student behavior characteristics from pictures in the training set through a deformable multi-scale adaptive detection network, and performing model training; verifying the verification set by using a model obtained from the training set; obtaining the optimal model parameters of the verification set, inputting the photos in the test set for testing to generate a prediction image, and completing the detection of the classroom behaviors of the students. According to the invention, high-accuracy classroom behavior recognition is realized by using the feature extraction module, the multi-scale feature fusion module and the regression detection module. By dividing the sample data set into the training set, the verification set and the test set, efficient and scientific model training is ensured, and the over-fitting risk is reduced.

The invention provides a glass fiber reinforced nylon composite material and a preparation method thereof, and belongs to the technical field of high polymer materials, the glass fiber reinforced nylon composite material comprises the following components by weight: 75-82 parts of nylon 6, 14-16 parts of modified glass fiber, 2-3 parts of polyethylene glycol, 0.4-0.7 part of an antioxidant, 0.6-1 part of a lubricant and 0.6-1 part of an antistatic agent; the modified glass fibers are prepared by treating glass fibers with a silane coupling agent and then treating the glass fibers with a dopamine-boron nitride surface modifier. The excellent tensile strength of the prepared composite material is guaranteed, and meanwhile, the reduction of the elongation at break is effectively avoided, so that the fatigue resistance of the composite material is guaranteed, and the service life is further prolonged.

The utility model discloses a two-phase liquid cooling heat dissipation system for servers, and the system is characterized in that a plurality of two-phase liquid cooling subsystems are matched with multiple layers of servers in a cabinet in a one-to-one correspondence manner; each two-phase liquid cooling subsystem comprises a liquid cooling plate, a condenser, an air pipe and a liquid pipe, the liquid cooling plate is horizontally attached to the server, the position of the condenser is higher than that of the liquid cooling plate, and the air pipe and the liquid pipe are both gravity type heat pipes and are connected between the liquid cooling plate and the condenser to form a refrigerant self-driven circulation loop; the multi-cold-source heat exchanger is used for cooling the condensers of the two-phase liquid cooling subsystems. The heat dissipation device is efficient in heat dissipation, reliable, safe, simple in system, low in cost, easy to maintain and suitable for heat dissipation of high-density server cabinets.

The invention relates to the field of polytetrafluoroethylene particle recovery, in particular to a polytetrafluoroethylene particle recovery device. A treatment box is installed on the upper portion of a machine body, the interior of the treatment box is connected with a discharging pipe through a guide channel, the discharging pipe is installed in the treatment box arranged on one side of the machine body, and a guide slope is arranged at the bottom end of the treatment box; a partition plate and a separation screen are installed on one side of the upper portion of the guide slope, a recycling roller mechanism is arranged on one side of the upper portion of the separation screen, and a discharging port is formed in the position, away from the lower portion of the separation screen, of the lower portion of the separation screen. According to the polytetrafluoroethylene particle cleaning device, polytetrafluoroethylene particles enter the treatment box to be cleaned after being primarily processed and crushed, waste particles are screened through a separation screen and an air nozzle during cleaning, the particles float to the top and are fished and recycled through a recycling roller mechanism, and a multi-stage screen and a spiral conveying mechanism are arranged in the recycling roller mechanism; particles can be effectively classified, screened and conveyed, the recycling effect of the material particles is guaranteed, impurity doping can be avoided, and the production quality is improved.

The invention belongs to the technical field of battery thermal management, and discloses a battery pack and a phase change material coupling liquid cooling composite thermal management system.The battery pack comprises a plurality of battery structures, each battery structure comprises a lithium battery, a fin structure, a phase change material filling area and a liquid cooling plate, and the fin structure is arranged on the periphery of the lithium battery; the liquid cooling plate is arranged on the periphery of the fin structure, a phase-change material filling area is formed between the liquid cooling plate and the fin structure, and the phase-change material filling area is filled with a phase-change material for absorbing redundant heat and generating phase change, so that the temperature fluctuation of the battery is reduced. The lithium bromide heat pump and the direct-current power supply are combined, and accurate adjustment of the temperature of the battery pack is achieved through efficient heat exchange and intelligent control. The system can be rapidly switched between a cooling mode and a heating mode, and it is ensured that the battery is always kept within the optimal temperature range in different working environments.

The invention relates to the technical field of project quality supervision acceptance detection, and discloses a project quality supervision acceptance detection system and method based on the Internet of Things technology, and the system comprises an information collection module, a data analysis module, a man-machine interaction module and a data storage library. The data analysis module comprises a point cloud preprocessing sub-module, a fitting comparison sub-module and a problem analysis sub-module; the man-machine interaction module comprises a quality early warning sub-module, a manual re-checking sub-module, a terminal display sub-module and a result output sub-module. According to the system, manual reading and recording are not needed, the data entry error can be reduced, and the data processing efficiency can be improved; a data analysis module automatically judges the wall surface abnormal condition and the quality excellent degree of the local point cloud model, abnormal data are verified through a man-machine interaction working mode, normal data are further mined and analyzed, and therefore the judgment accuracy and the working efficiency of the system are improved; and the workload of supervision personnel is reduced to a great extent.

The invention discloses a wireless emergency command broadcasting system and method based on artificial intelligence, and the method comprises the following steps: S1, determining the role of a user in an emergency scene through the wireless identity authentication of terminal equipment; s2, acquiring the specific position of each terminal user through a wireless network in real time, and sensing the surrounding environment information of the user; s3, generating a personalized emergency instruction by using a model based on the combination of the graph attention network and the generative adversarial network; s4, a priority optimization algorithm based on hierarchical reinforcement learning is adopted, and the system dynamically adjusts the priority of the broadcast content; s5, a real-time feedback mechanism is established, and the system dynamically adjusts an emergency instruction and a broadcast strategy according to feedback information of a user through a wireless communication technology; and S6, the emergency instruction is pushed to the user terminal, and optimized pushing is carried out according to the characteristics of different users. According to the method, artificial intelligence and wireless communication technologies are fully utilized, personalized emergency instructions are dynamically generated, and the method has the advantages of accuracy, high efficiency and real-time adaptation.

The invention relates to the technical field of refrigerating systems, in particular to a micro-channel air conditioner phase change heat transfer evaporation heat exchanger. Comprising a flowing pipeline, the flowing pipeline is composed of a plurality of vertical pipelines and a plurality of bent pipelines connected with the vertical pipelines, and a continuous flowing path of a condensing agent is formed. And a mixing assembly specially used for stirring the condensing agent is arranged in the vertical pipeline. Fin assemblies are installed on the outer sides of the vertical pipelines, and the outer sides of the fin assemblies are wrapped by a complete shell. When the condensing agent flows in the flowing pipeline, the condensing agent can pass through the mixing assembly in each vertical pipeline to be fully mixed and uniformly distributed. The design ensures that the condensing agent in each vertical pipeline can reach an ideal uniform state. And then, the condensing agent flows through the fin assembly, and heat exchange is effectively carried out by utilizing the heat exchange area increased by the fins. By means of the layout, flowing of the condensing agent is optimized, and the heat exchange efficiency is remarkably improved.

The invention relates to a carbon plate for sports shoes. From a sole to the top, the carbon plate sequentially comprises a first fiber layer, a second fiber layer and a third fiber layer, the second layer is a fiber layer made of 0-degree unidirectional polyimide fiber cloth; the third layer is an arch reinforcing sheet made of a poly-p-phenylene terephthamide material; the carbon fiber unidirectional belts adopted by at least two carbon fiber layers are symmetrically arranged in the forward direction and the reverse direction, and the other carbon fiber layer is made of 90-degree carbon fiber unidirectional belt materials. The carbon fiber plate has the advantages that the reinforcing piece is arranged at the foot arch, the structural strength of the carbon fiber plate at the weak position of the foot arch can be improved, in addition, the protruding reinforcing ribs can further improve the rigidity of the foot arch, and therefore the structural strength of the whole carbon plate is improved, and the problem that the service life is damaged due to excessive bending of the carbon plate is solved.

The invention provides an intelligent advertisement putting method and system based on positioning, and the method comprises the steps: setting an advertisement library which comprises advertisement contents, putting parameters and put geo-fencing regions, each geo-fencing region having a definite geographical position boundary, and dividing each geo-fencing region into a plurality of sub-regions; defining a plurality of time windows according to the set sub-regions, and setting an advertisement display brightness model according to the current time window and the environment illumination intensity; determining overlapping areas of different advertisements in the sub-areas in the same time window, and respectively scoring the advertisements in the overlapping areas according to a comprehensive benefit scoring model; formulating an advertisement putting strategy according to the comprehensive benefit score of the advertisement in the overlapping area, and selecting a corresponding advertisement from an advertisement library according to the advertisement putting strategy for display; advertisement display data are collected for effect analysis, advertisement putting is more scientific through fine management, and the overall benefits of advertisements are improved.

The invention relates to the technical field of preparation of organic photoelectric materials, in particular to a boron-nitrogen compound and an organic electroluminescent device comprising the same. The boron-nitrogen compound disclosed by the invention has good electron and hole receiving capability, and interaction among luminescent molecules can be effectively inhibited by introducing a spirocyclic group with large steric hindrance. And the energy transmission performance between a subject and an object or a sensitizer can be improved by the large conjugated spiro structure unit. Specifically, the boron-nitrogen compound provided by the invention is used as a functional layer, especially as an organic electroluminescent device manufactured by a luminescent layer, the current efficiency is improved, the lighting voltage is reduced, and meanwhile, the service life of the device is greatly prolonged. Therefore, after most electrons and holes are compounded, energy is effectively transferred to the boron-nitrogen compound, so that high luminous efficiency is realized.

The invention discloses an intelligent refrigeration control method and system of an intelligent calculation machine room moving ring system, and relates to the technical field of air conditioner refrigeration control, and the method comprises the steps: obtaining a cable wiring diagram in a machine room, and adjusting the intelligent calculation machine room partition in real time according to the electric heating power parameters obtained by combining the equipment load state value and the temperature change rate in the machine room; an air port distribution strategy is set, and an air port is distributed for each partition in the intelligent computer room partitions; an air volume intelligent control algorithm is set, and the angle and the air intensity of each air outlet are controlled according to the equipment load state value and the temperature change rate of each partition in the machine room; according to the invention, the problem of cooling airflow path blockage caused by excessive concentration of cables is solved, and the cooling efficiency is improved.

The invention discloses an urban unmanned aerial vehicle cargo distribution route planning method and system and an unmanned aerial vehicle. The method comprises the following steps: acquiring flight information of an urban area; analyzing the flight information to obtain a planned route; setting a landing site in the urban area according to the planned route; and transferring the carried goods at the landing site according to the planned route, so that the goods are conveyed from the ground to a destination within a preset mileage. According to the method, the unmanned aerial vehicle route is formulated, the stations are set in the route, and the unmanned aerial vehicle delivers goods in the planned unmanned aerial vehicle route, so that the delivery efficiency is improved.

The invention discloses an improved YOLOv8 chip surface defect detection model construction method and application, and the method comprises the steps: constructing a network structure of an improved YOLOv8 target detection model, which comprises a Backbone module, a Neck module and a Head module; the Backbone module comprises a multi-layer DCNv3 network, a C2f network and an SPPF network, and outputs a first effective feature layer, a second effective feature layer and a third effective feature layer after performing multi-layer convolution processing on the picture; the Neck module adopts a BiFPN bidirectional feature pyramid feature fusion structure, inputs three effective feature layers output by the Backbone module into a ConcatBiFPN network for bidirectional adaptive fusion, and then outputs the three effective feature layers through a CBAM attention mechanism network; the Head module comprises a Deect network structure, and the Deect network structure is connected with a CBAM attention mechanism network and outputs a target detection result; the improved YOLOv8 target detection model structure is used for accurately recognizing the surface defects of the chip, and the adaptability to different types of defects is improved.

The invention provides a low-pressure hydroisomerization / cracking process for preparing bio-based aviation fuel, and relates to the technical field of biomass energy. A three-stage hydrogenation process is adopted, a low-temperature and low-pressure homogeneous hydrogenation method combining an oil soluble catalyst with a suspended bed reactor A and a suspended bed reactor B is adopted in the front stage of step (1) and step (2), low-cost hydrogenation upgrading pretreatment is conducted on high-silicon and high-metal biomass inferior grease, deep fixed bed hydrofining is conducted in the middle stage of step (1) and step (2), and high-silicon and high-metal biomass inferior grease is obtained. In order to improve the yield of light oil products, a rear-section fixed bed hydroisomerization reactor is additionally arranged to carry out isomerization / cracking processing on heavy components.

The present invention relates to the technical field related to the conveying of textile fabrics, and specifically to a textile fabric conveying device, comprising a carrier, a clamping type deviation correction mechanism and an adjustable tensioning mechanism. The clamping type deviation correction mechanism is arranged on the transverse frame of the carrier, and adopts a clamping method to fix the textile fabric, and performs a deviation correction process on the textile fabric in real time through its sliding displacement. The adjustable tensioning mechanism is arranged symmetrically front and back about the horizontal central axis of the second roller, and can be slidably adjusted according to the width of the textile fabric. A third roller is movably arranged on the adjustable tensioning mechanism, and the third roller is used to tension and flatten the textile fabric. The textile fabric conveying device realizes the automatic clamping and fixing operation of the textile fabric, meets the use requirements of real-time deviation correction during the conveying process, and also realizes the tensioning process of the textile fabric during the conveying, avoids the accumulation of wrinkles during the conveying, and ensures the neat and effective conveying of the textile fabric.

The invention relates to the technical field of coatings, and discloses a preparation method of a water-based acrylic acid anticorrosive coating, which comprises the following steps: taking PEPA and phosphorus pentoxide as raw materials to obtain double-PEPA-based phosphate; the preparation method comprises the following steps: by taking 3-hydroxyglutaric acid, aminopropyltriethoxysilane, hexamethylene diisocyanate, graphene oxide and the like as raw materials, preparing disilane modified graphene oxide; adding the disilane modified graphene oxide, the double PEPA-based phosphate and the like into the water-based acrylic emulsion, uniformly stirring and mixing, grinding and filtering to obtain the water-based acrylic anticorrosive coating. Phosphorus hydroxyl, silicon hydroxyl and graphene in the coating are used for synergistically assisting in improving the adhesive force and corrosion resistance of the coating, and flame retardant elements are used for improving the flame retardant property of the coating. The water-based acrylic acid anticorrosive paint prepared by the invention has excellent corrosion resistance, flame retardance and adhesive force.

The invention belongs to the technical field of biological medicine, and discloses an engineering bionic exosome with an anti-aging effect and a preparation method and application thereof, and the preparation method comprises the following steps: (S1) preparing a bionic cell membrane modified targeting ligand: adding collagen, mitochondrial targeting polypeptide, a condensing agent and 4-dimethylaminopyridine into an organic solvent, and stirring to obtain the bionic cell membrane modified targeting ligand; activating under a protective atmosphere, and then adding lysine into the system to react, so as to obtain a bionic cell membrane modified targeting ligand; and (S2) embedding the bionic cell membrane modified targeting ligand into the engineered exosome bionic membrane, and entrapping an active substance to form the engineered bionic exosome. The exosome provided by the invention has better skin permeability, mitochondrial targeting effect and cell endocytosis effect, has better protection effect on mitochondria, and can realize efficient delivery of active substances.

The invention belongs to the technical field of electrochemistry, and particularly relates to a gas diffusion electrode for efficiently producing hydrogen peroxide in situ and a preparation method thereof. The gas diffusion electrode is composed of a carbon paper substrate, a carbon black gas diffusion layer and a carbon nitride modified carbon nanotube catalyst layer. The preparation method of the gas diffusion cathode comprises the following steps: mixing a carbon nanotube, g-C3N4, isopropanol, 60wt% of PTFE emulsion and water to prepare a mixed solution, and loading a compound of the carbon nanotube and g-C3N4 on one side of a carbon paper substrate by adopting an ultrasonic impregnation mode to prepare a catalyst layer; the other side of the carbon paper substrate is impregnated with carbon black and PTFE emulsion to prepare a diffusion layer, and the diffusion layer is uniformly coated, dried and annealed to prepare the gas diffusion cathode. The gas diffusion electrode is used for efficiently producing hydrogen peroxide through in-situ electrocatalysis, the yield of hydrogen peroxide can reach 1050 mg / L after 1.5 h, the current efficiency is 76%, and the energy consumption is 5.56 KWh / Kg.

The invention discloses a knowledge distillation method driven by an interference generative adversarial network. The method comprises the following steps of: firstly, acquiring an image classification data set formed by three-channel RGB (Red, Green, Blue) format images; secondly, an interference generative adversarial network AD-GAN is constructed, the AD-GAN comprises a teacher model, a student model and an interference generation model, input of the three models is images in the image classification data set, output of the teacher model and the student model is confidence vectors of image category prediction, and output of the interference generation model is images with interference; finally, adversarial training is conducted on the three models, one training batch is divided into an interference generation model training stage and a student model distillation training stage, independent optimizers are used for training of the interference generation model training stage and the student model distillation training stage respectively, the interference generation model serves as a generator in adversarial training, and the teacher model and the student model serve as a discriminator together. According to the method, the generalization ability and the anti-noise performance of the student model are enhanced, and a practical and efficient solution is provided for a resource-limited scene.

The invention discloses an underwater routing protocol design method based on link sensing, and belongs to the technical field of underwater wireless sensor communication networking. The invention aims to solve the problem that the link quality of the existing underwater routing protocol cannot ensure reliable transmission of data. Comprising the following steps: dividing underwater wireless sensors into clusters based on set roles in a node control data packet; each cluster comprises a master node and a corresponding slave node; each master node receives a sensing data packet of the corresponding slave node; each master node maintains attribute information of the adjacent master nodes based on the master node attribute data packets of the adjacent master nodes, and establishes a reward function for transmitting the to-be-transmitted data packets of the master nodes between the two master nodes based on the attribute information of the master nodes; and after a next-hop master node of the underwater route is determined according to the reward function value, transmitting the to-be-transmitted data packet of the current master node to the next-hop master node until data transmission from the to-be-transmitted data packets of all the master nodes to the water surface ship receiving terminal is completed. The underwater sensing data transmission device is used for transmitting underwater sensing data.

The invention discloses a phase change fiber membrane with a composite core-sheath structure and a preparation method and application thereof.The method comprises the steps that polyacrylonitrile is dissolved in N 'N-dimethylformamide and stirred to be completely dissolved, then hydroxylated boron nitride is added, the hydroxylated boron nitride is evenly dispersed through ultrasonic treatment, and a sheath spinning precursor solution is prepared; dissolving polyethylene glycol in N 'N-dimethylformamide, stirring to melt the polyethylene glycol, and taking the polyethylene glycol as a core layer spinning precursor solution; preparing a phase change fiber membrane with a core-sheath structure from the sheath spinning precursor solution and the core spinning precursor solution through a coaxial electrostatic spinning process; and placing the phase change fiber membrane with the core-sheath structure in an ethanol dispersion liquid of hydroxylated boron nitride, carrying out ultrasonic dip-coating, and then carrying out cold pressing treatment to prepare the phase change fiber membrane with the composite core-sheath structure. The obtained composite core-sheath structure phase change fiber membrane has good latent heat property, thermal conductivity and flexibility, and meanwhile, leakage of the phase change material is prevented through the core-sheath structure.

The invention relates to the field of stacker crane equipment, and discloses mining stacker crane equipment with an adsorption type feeding mechanism, the mining stacker crane equipment comprises a mounting frame serving as a supporting carrier of the whole device, a placing frame is fixedly mounted on the outer side of the mounting frame, and a plurality of workpieces are arranged at the top of the placing frame; the automatic adsorption feeding assembly is mounted on one side of the mounting frame and used for automatically feeding the workpieces; the conveying assembly is mounted on the outer side of the mounting frame and used for being matched with the automatic adsorption feeding assembly, and the first conveying assembly is mounted in the middle of the top end of the mounting frame and used for conveying workpieces conveyed by the automatic adsorption feeding assembly to the second conveying assembly. According to the automatic feeding system, the automatic adsorption feeding assembly is additionally arranged, so that the workpieces can be accurately positioned and placed, the dependence on manpower is reduced, the labor cost is reduced, meanwhile, compared with traditional manual feeding, the automatic feeding system can complete feeding of the multiple workpieces within shorter time, and the operation efficiency of the whole production line is improved.