50results about How to "Improve relationship" patented technology

The invention provides a landslide displacement space-time prediction method, device and system and a storage medium, and relates to the technical field of engineering geology, and the landslide displacement space-time prediction method comprises the steps: obtaining the historical landslide multi-field time sequence monitoring data of each monitoring point of a to-be-measured region, constructing a monitoring point bitmap based on the historical space related data, constructing a time sequence characteristic matrix according to the historical displacement time sequence, the historical landslide external disturbance factor time sequence and the monitoring point bitmap; inputting the time sequence characteristic matrix and the monitoring point bitmap into a trained landslide displacement space-time prediction model to obtain a landslide displacement space-time prediction result; the landslide displacement space-time prediction model is constructed based on an improved GCN network and an improved BiLSTM network; according to the method, the space-time prediction precision of landslide displacement can be remarkably improved by combining the space correlation data and the external disturbance factors and utilizing the capability of the deep learning model.

The invention relates to the technical field of personalized garment recommendation, particularly provides a garment matching recommendation method and system based on multiple modes, and aims to solve the problem that in the prior art, the accuracy and personalization of garments recommended to a user by a garment recommendation system based on a single mode are low. According to the method, input text description and an original clothing image are respectively coded into text features and clothing image features; fusing the two features to form a fusion feature; and the multi-modal condition generative adversarial network generates a matched garment image set according to the fusion features, and screens out matched matched garment images in combination with user preference information. According to the method, the multi-modal data is input, and the text description and the original clothing image can be received and processed at the same time, so that the clothing matching recommendation system can more accurately understand the requirements of the user, the matching clothing which is higher in matching accuracy, better in quality, more in accordance with the requirements of the user and more personalized is generated, and the use experience of the user is improved.

The invention discloses a panoramic monitoring method for power transmission and transformation equipment, and belongs to the field of power system automation. A panoramic monitoring method for power transmission and transformation equipment comprises the following steps: S1, performing digital modeling of monitoring information on primary and secondary equipment in a power system, including equipment state, performance parameters and environmental factors; s2, carrying out graphical representation on the equipment state by utilizing the digital information model, and carrying out interactive operation through a user interface; s3, establishing information association between the devices, forming a comprehensive monitoring network of the power grid, and optimizing the accuracy of association between the devices by using a machine learning algorithm; s4, updating and displaying the monitoring state of the power grid in real time, including a geographical wiring diagram and an equipment state diagram, and identifying an abnormal mode through a data mining technology; and S5, utilizing a predictive maintenance algorithm to predict potential faults and recommend a maintenance plan according to the equipment state.

A kind of detection method and device of fake APP, terminal, the method includes: determining training data;Keyword extraction is carried out to the brief introduction of each pair of target APP and the brief introduction of suspected APP, and the data vector of each keyword is determined;Determine the weight value of each keyword, and the data vector of each keyword in the target APP is weighted based on the weight value Operation is carried out to obtain target APP data vector, and obtain suspected APP data vector;The vector comparison result of target APP data vector and suspected APP data vector is calculated, the absolute value of the vector comparison result is determined as first data vector, and the square of the vector comparison result is determined as second data vector;Obtain the training text vector of the pair of target APP and suspected APP;Training fake detection model.The present application can enhance the association between keywords in model training phase, reduce the misjudgment rate.

The invention provides a cloud-side collaborative content caching and user association method and system, and relates to the technical field of wireless communication networks, and the method comprises the steps: building a weighted delay minimization problem with minimization of user content acquisition delay and association base station switching delay as a target; and dividing the constructed weighted delay minimization problem into a long-term user association and content caching problem under a long-term time scale and a short-term user association problem under a short-term time scale to obtain a content caching strategy and a user association strategy so as to minimize the content transmission delay between the user and the base station. According to the invention, the content transmission delay can be reduced on the basis of reducing the backhaul link burden, and the network performance is improved.

The present disclosure provides a DMOS device with a junction field plate and its manufacturing method. A drain region is located on a surface of a semiconductor substrate. A source region is located in the semiconductor substrate at a bottom of a first trench. A gate electrode is located at the bottom of the first trench. Therefore, longitudinal voltage resistance is achieved, which may reduce a size of the entire device, decrease Rdson, and greatly optimize a relationship between voltage resistance and Rdson. The junction field plate improves an effect on reducing surface resistance. At the same time, a depth of trenches in the DMOS device may be reduced, and thereby a depth-to-width ratio of the device is reduced, improving the feasibility of increasing a voltage resistance level. Both the source region and the drain region in the DMOS device are led out on a same surface, which may be compatible with a technology for manufacturing a CMOS device. A second doped polycrystalline silicon layer includes a first doped sublayer and a second doped sublayer with different conduction types. Therefore, in a case of an N-type gate electrode, a P-type doped layer may be directly connected to a potential of the gate electrode, which improves an effect of the junction field plate.

The utility model provides a flexible and changeable children recreational facility which comprises a game unit arranged above a base unit, the game unit comprises a plurality of guide rails connected with a frame structure, a plurality of sliding blocks sliding in the length direction of the guide rails are arranged between the guide rails, and the upper end faces of the sliding blocks and the guide rails are used for walking. The number of the sliding blocks can be set at will, the sliding blocks can slide on the guide rails at will, playing rules, themes and paths are flexible and changeable, the sense of participation of children is increased, pleasure is brought, meanwhile, parents can accompany the children to play together, make a harmony and enhance the feeling, and the parents can know traditional culture and various knowledge in the playing process, so that the children can play more conveniently. Interaction between children and parents is increased, and children can grow happily and healthily through integration of entertainment and teaching; the whole structure is stable and firm, potential safety hazards are avoided, and children and parents can play at ease; the device is simple in assembly mode and easy to operate.

The present invention provides a business support and control platform based on Web framework technology, including the following parts: access layer, rule management layer, service layer, support and guarantee layer and operation and control layer. It can access the original system to obtain data, set multiple rules, automatically determine the business process according to the rules, and display it according to user operations to maximize the use of data. The support and guarantee layer includes a business collection component, a data verification component, a demand analysis component, a process design component, a business association component, a data storage component and a timed update component. The operation and control layer constructs an operation plan and performs relevant configurations based on the data processing results of the support and guarantee layer, proposes operation specifications, and displays the business process to the user. The operation and control layer includes a business data intelligent search component, a process configuration component, a business process control component and a business process display component.

The invention discloses a canine parvovirus CPV-2c subtype virus strain and application thereof, and relates to the technical field of biology. The canine parvovirus CPV-2c subtype virus strain is preserved in the China Center for Type Culture Collection on November 12, 2024, the preservation address is Wuhan University, Wuhan, China, and the preservation number is CCTCC NO: V202492. Genetic evolution analysis shows that the canine parvovirus CPV-2c subtype virus strain obtained through separation has a better genetic relationship with other epidemic strains published domestically. The strain has good pathogenicity, can show typical CPV clinical symptoms when infected dogs, has great advantages for verifying therapeutic drugs and evaluating vaccine efficacy in vivo, and plays an important role in research and development of the therapeutic drugs and vaccines. In addition, the strain can be cultured and proliferated in vitro and has the potential of being developed into vaccines.

In order to overcome the problem of insufficient high-temperature storage performance of existing batteries containing silicon-based materials, the present application provides a secondary battery, including a positive electrode, a negative electrode with a negative electrode material layer, and a non-aqueous electrolyte, the negative electrode material layer comprises a negative electrode active material, and the negative electrode active material comprises a silicon-based material; the non-aqueous electrolyte comprises a solvent, an electrolyte salt and an additive, the additives comprises a compound represented by structural formula 1; wherein n is 0 or 1, A is selected from C or O, X is selected from or R1 and R2 are each independently selected from H, R1 and R2 are not selected from H at the same time, and X, R1 and R2 comprise at least one sulfur atom; the secondary battery meets the following requirements: 0.21≤m∗n∗rs≤40; and 40%≤m≤90%, 0.05%≤n≤2%, 1.2g / cm3≤r≤1.8g / cm3, 5%≤S≤30%. The secondary battery provided by the present application can improve the high-temperature storage performance of battery on the premise of ensuring that the battery has excellent energy density.

The embodiment of the invention provides a 5G-Advanced sensing communication collaborative resource scheduling method and system for a smart substation, and belongs to the technical field of power system operation and maintenance. The method comprises the steps that a 5G-Advanced cellular-free unmanned aerial vehicle communication and sensing integrated network architecture is constructed, the network architecture comprises a passive sensing layer, an air-ground cooperative access layer and a centralized processing layer, and deep integration of sensing, energy supply and communication functions is achieved; establishing a system model based on the network architecture, wherein the system model comprises a network topology model, a communication and inductance integrated transmission model and a constraint optimization problem model; a cross-CPU dynamic resource scheduling algorithm based on MADDPG is designed, and joint optimization of user association, power distribution and load balancing is achieved through a centralized training-distributed execution mechanism; based on a scheduling algorithm and a system model, substation global real-time sensing, data transmission and operation and maintenance performance collaborative guarantee are achieved. The sensing fusion and coverage capability is greatly improved, the dynamic scene adaptability is better, and the sensing-operation and maintenance collaboration value is higher.

The present invention discloses a method for constructing a hydrological time series prediction model based on IVMD-LSTM-EBLS, which predicts future hydrological conditions based on historical precipitation and runoff changes. The method comprises: obtaining hydrological time series data in historical records; decomposing and reconstructing the time series using IVMD according to the changes in the time series in the historical records; establishing a new feature set based on the reconstructed hydrological time series; extracting feature data of the new feature set using LSTM; using EBLS to perform linear transformation on the extracted feature data to generate mapping features, further extract deep feature information and calculate the final weight. The present invention can effectively improve the prediction accuracy of time series data, and at the same time improve prediction efficiency and resource utilization.

The invention relates to a qualitative and quantitative method for liensinine perchlorate. The qualitative method comprises the following steps: weighing 1mg of liensinine perchlorate and 1mg of liensinine, uniformly grinding and tabletting the liensinine perchlorate and the liensinine with 100mg of potassium bromide respectively, acquiring an infrared spectrum of 4000-400cm <-1 > by adopting an infrared spectrometer, and comparing spectrograms to find that the peak shapes of the liensinine perchlorate and the liensinine are similar, the peak shapes of the liensinine perchlorate and the liensinine perchlorate are common characteristic peaks and the peak shapes of the liensinine perchlorate are unique characteristic peaks of the liensinine perchlorate and the liensinine are common characteristic peaks and the peak shapes of the The quantitative method comprises the following steps: weighing a series of liensinine perchlorate reference substances with different masses, uniformly grinding and tabletting the liensinine perchlorate reference substances and 100mg of potassium bromide respectively, collecting an infrared spectrum, carrying out integration on a 625cm <-1 > characteristic peak to obtain a peak area, and drawing a standard curve by taking the peak area as a vertical coordinate and taking the sampling mass of the reference substances as a horizontal coordinate; the method comprises the following steps: weighing a sample to be detected, collecting an infrared spectrum, integrating a 625cm <-1 > characteristic peak to obtain a peak area, substituting the peak area into the standard curve equation, calculating the mass of the liensinine perchlorate in the sample, and substituting the mass into the content calculation formula to obtain the content of the liensinine perchlorate in the sample. The method is good in precision, repeatability and stability, wide in linear range, high in linear correlation coefficient and high in recovery rate, the problem that liensinine interference cannot be avoided in an existing content determination method is effectively solved, whether liensinine perchlorate is generated or not can be qualitatively judged, and the quantity of liensinine perchlorate generated can be quantitatively detected; and a feasible new method is provided for production process optimization and quality evaluation of liensinine perchlorate.

The invention provides a range finding system and method used by an endoscope, and belongs to the technical field of medical instrument development. A multifunctional integrated processor; the laser transmitter module is connected with the multifunctional integrated processor and is used for transmitting laser; the light guide fiber is connected with the laser transmitter module and the front end of the endoscope and is used for transmitting the laser to the front end of the endoscope; the laser receiving module is arranged at the front end of the endoscope and is used for receiving the reflected laser signal; by accurately measuring the distance between the front end of the endoscope and the target tissue, a doctor can perform biopsy, diseased tissue excision or other fine operations more safely, so that the risk of injury to surrounding healthy tissues is reduced, and the success rate of an operation is improved. Besides, the system can store detailed data used each time, so that an important basis is provided for follow-up visit of the patient, and evaluation of the treatment effect and timely adjustment of the treatment scheme are facilitated.

The invention discloses an alarm analysis and positioning method for operation and maintenance of equipment in a dispatching automation machine room, which comprises the following steps of: establishing an alarm information knowledge graph template based on historical alarm information of the dispatching automation machine room, and establishing a real-time alarm information knowledge graph according to real-time alarm information; and matching the fault type of the real-time fault alarm information in the alarm information knowledge graph template according to the real-time alarm information knowledge graph, and positioning fault equipment according to the real-time alarm information of the dispatching automation machine room and the fault type of the real-time fault alarm information. According to the invention, a large amount of alarm information in the dispatching automation machine room can be analyzed and positioned, and an analysis result is obtained for dispatching operation and maintenance personnel to refer.

The invention discloses an interaction method and system for an interaction screen of a vehicle, and the method comprises the steps: collecting the data transmission efficiency of the interaction screen during the interaction process of the interaction screen based on a current communication mode, so as to compare the data transmission efficiency of the interaction screen with a preset transmission efficiency threshold value; therefore, the stage that the data transmission efficiency of the interaction screen is lower than the preset transmission efficiency threshold value is controlled, so that the mobile phone of the user and the interaction screen of the vehicle are associated, direct connection is carried out based on the mobile phone of the user and the interaction screen of the vehicle, and UWB ultra-wideband communication is carried out between the mobile phone of the user and the interaction screen of the vehicle. Direct communication between the mobile phone of the user and the interactive screen of the vehicle is realized based on UWB ultra-wideband communication, and a transmission link from a central controller to a vehicle body and then to the interactive screen is not needed, so that the delay of data transmission is greatly reduced, and the efficient transmission requirement of high-definition video data can be met.

The present invention discloses a multi-target tracking method, device and medium for open vocabulary scenarios, which belongs to the field of visual target tracking technology. The target tracking model is constructed by applying an adaptive context normalization method, a joint motion model and an appearance model, and a hierarchical adaptive feature update strategy is implemented to enhance the tracking model's ability to track unknown targets in dynamic scenes. The present invention generates a more adaptable target tracking model by accurately adjusting the statistical properties of the input features and combining the joint analysis of motion and appearance information. This method can effectively deal with the rapid movement and temporary occlusion of the target, and is suitable for effective tracking in various complex environments. In the above manner, the present invention significantly improves the accuracy and stability in open vocabulary multi-target tracking scenarios, and can accurately track targets of various undefined categories.

The embodiment of the invention relates to the field of tobacco distribution applied to a tobacco unmanned aerial vehicle front cabin, in particular to a tobacco distribution method applied to the tobacco unmanned aerial vehicle front cabin and computer equipment. A specific embodiment of the method comprises the following steps: in response to received tobacco distribution request information corresponding to a target tobacco unmanned aerial vehicle front cabin, performing structured processing on the tobacco distribution request information and current tobacco storage information of the target tobacco unmanned aerial vehicle front cabin to obtain structured tobacco information; determining tobacco distribution limitation information corresponding to the tobacco distribution request information; inputting the pre-warehouse structured information, the pre-warehouse tobacco structured information and the pre-warehouse tobacco associated information into a pre-warehouse tobacco distribution model to obtain pre-warehouse tobacco distribution information; and controlling the to-be-distributed tobacco unmanned aerial vehicle to carry out tobacco distribution according to the pre-warehouse tobacco distribution information. According to the embodiment, the accuracy of the tobacco distribution information of the front bin can be improved, the utilization rate of the front bin is improved, and waste of tobacco distribution resources is reduced.

The invention relates to the technical field of image processing, and provides a multi-target tracking segmentation method and system based on dynamic self-adaption and enhanced features, and the method comprises a pre-processing step, an appearance cost calculation step, a pre-matching step, a motion cost calculation step, a formal matching step, a post-processing step, a repeating step and a visualization step. According to the method, target features are refined and integrated through data association with dynamic self-adaption, and target appearance features and motion information are respectively enhanced by utilizing an attention mechanism based on a mask and mask prediction based on four-triangle variation, so that high tracking precision can be kept, rapid operation and low-cost operation can be realized, and the method is suitable for large-scale popularization and application. And the method is suitable for wider application scenes.

The invention discloses a knowledge graph embedding method and system for intelligent knowledge recommendation. A complex intelligent knowledge recommendation framework is built based on knowledge graph embedding and deep reinforcement learning technologies; on the basis of the built complex knowledge intelligent recommendation framework, a complex knowledge graph model is built in combination with complex knowledge characteristics; a TransEx knowledge graph embedding method is constructed by fusing an attention mechanism and a complex value embedding technology, entity nodes and relationships in a knowledge graph are converted into a vector sequence, and the structure and semantic relationships of the graph are reserved.

The invention is applicable to the technical field of computers, and provides an industrial multi-source heterogeneous data fusion processing system based on mobile communication, comprising a multi-source signal acquisition module which sends each operation parameter to a data processing module through a 5G network; the visual detection module sends the appearance image data and the temperature data to the data processing module through a 5G network; the inspection robot runs along a set path based on a 5G positioning technology, and sends equipment data to the data processing module through 5G; the data processing module performs network slicing processing on 5G to obtain a plurality of target network slices, and sends the data through the plurality of target network slices; the data analysis module is used for generating a plurality of to-be-processed tasks based on the data; and performing parallel processing on the plurality of to-be-processed tasks to obtain a detection result of each target device. According to the system, data real-time acquisition and real-time processing are realized by using the 5G technology, and the data transmission efficiency and the data processing efficiency are improved.

The present application discloses a method, system, device and storage medium for predicting abnormal states in remote examinations. The method comprises: obtaining the video resources of examinees collected by the RGB camera and the near-infrared camera in the remote examination system respectively and decomposing them in chronological order to obtain RGB multi-frame images and near-infrared multi-frame images of examinees; inputting the pre-processed RGB multi-frame images and near-infrared multi-frame images of examinees respectively into the trained fine expression recognition model and the facial remote blood pressure recognition model, respectively obtaining the facial fine expression recognition results and blood pressure recognition results of examinees in the examination room; judging and warning the abnormal state of examinees according to the facial fine expression and blood pressure recognition results. The present invention can accurately predict in real time whether examinees have abnormal state tendencies in the examination room by identifying and analyzing the fine expressions and facial remote blood pressure signals of examinees in remote examinations.

A lithium battery includes a wound core and tabs, in which the wound core is formed by stacking and winding an inner separator, a first electrode sheet, an outer separator, and a second electrode sheet; the inner separator is located at the innermost layer of the wound core, and each of the inner separator and the outer separator has a clamping section, a first straight section, and a tail laminating section; in which the first straight section is located in front of the first electrode sheet; the tail laminating section is a separator end; the inner separator has a first inner laminating section; the clamping section, the first straight section and the tail laminating section of the inner separator are respectively laminated with the clamping section, the first straight section and the tail laminating section of the outer separator; and the first inner laminating section of the inner separator is represented as two parts of the inner separator that are laminated; an adhesive surface and a ceramic surface of the first inner laminating section of the inner separator have a wet peeling force of ≥2N / m and ≥ 1N / m, respectively. In this invention, the separator with a better adhesion force is selected based on the wet peeling force to prepare a cell, achieving an optimal output of the adhesion force and then outputting a battery with better hardness and performance.

The invention discloses an image-text matching method based on a multi-modal knowledge-driven intra-modal and inter-modal interaction network framework, and provides a multi-modal knowledge-driven intra-modal and inter-modal interaction graph network for image text matching. The efforts of modeling cross-modal inter-modal, inter-modal and intra-modal and inter-modal interaction relationships are determined for the first time; introducing a framework, combining multi-modal implicit priori knowledge with local and global features, and learning feature embedding to enhance a relationship; the problem that an existing method which only considers the inter-modal or intra-modal relation is low in performance when semantic fuzziness and similar samples are retrieved is solved. A series of comprehensive experiments are carried out on a reference data set Flickr30k and MSCOCO, and the performance of an image text retrieval task is improved.

The invention discloses a psychological health education system based on a virtual reality technology in the technical field of virtual reality, and the system comprises a monitoring module which is used for collecting the physiological information of a user, and judging the psychological state of the user according to the physiological information; the acquisition module is used for continuously acquiring environment information and teacher information; the screening module is used for obtaining suitable condition information of the user according to the psychological state, and screening and adjusting the environment information and the teacher information according to the suitable condition information; and the education module is used for constructing a virtual scene by using the screened and adjusted environment information, constructing a virtual teacher by using the screened and adjusted teacher information, and enabling a user to interact with the virtual teacher in the virtual scene. And the interactivity between the visitor and the teacher in the activity process is improved, so that the psychological health education effect is improved.

The invention discloses a lower contact third rail current collector with air pressure regulating contact force, comprising a cable assembly, a carbon slide assembly, a carbon slide connecting plate, a boot arm plate, an articulated assembly one, a stretching assembly, an articulated assembly two, an articulated assembly three, a base and an insulator, wherein one side of the top of the boot arm plate is articulated with the base through an articulated assembly one, the carbon slide assembly is installed on the other side of the top of the boot arm plate through a carbon slide connecting plate, the top of the boot arm plate between the base and the carbon slide assembly is articulated with the output end of the stretching assembly through an articulated assembly two, the tail end of the stretching assembly is articulated with the base through an articulated assembly three, the insulator is installed on the base, and the two ends of the cable assembly are respectively connected to the insulator and the carbon slide connecting plate; the invention has a simple structure and effectively avoids the interference of the third rail protective cover on the current collector; the stability of the contact force between the carbon slide and the third rail is ensured by accurately adjusting the cylinder pressure, the relationship between the boot and the rail is effectively improved, and the current receiving capacity is greatly improved.

The present application relates to a kind of synthesis method and electronic equipment of coronary artery CCTA image, comprising: obtaining the image of paired NCCT and CCTA, after pretreatment, obtain high consistency image training pair;LDM model suitable for adapting coronary artery image synthesis is constructed, the LDM model includes frozen variational autoencoder, the denoising U-Net of trainable based on cross attention mechanism, and decoder, the denoising U-Net integrates ResNet2D module, Transformer2D module and multi-scale cross attention layer;After pre-processing, the NCCT image to be processed is input into the LDM model trained, and the latent representation of CCTA image is generated by the reverse diffusion denoising process in latent space, and finally the high-resolution Syn-CCTA image is output by decoder.Compared with prior art, the present application has the advantages of no contrast agent to realize coronary artery CCTA image with auxiliary diagnostic value.

The invention relates to a qualitative and quantitative method for isoliensinine perchlorate. The qualitative method comprises the following steps: weighing 1mg of isoliensinine perchlorate and 1mg of isoliensinine, uniformly grinding and tabletting the isoliensinine perchlorate and the isoliensinine with 100mg of potassium bromide respectively, acquiring an infrared spectrum of 4000-400cm <-1 > by adopting an infrared spectrometer, and comparing the spectrograms to find that the peak shapes of the isoliensinine perchlorate and the isoliensinine are similar, the peak shapes of the isoliensinine perchlorate and the isoliensinine perchlorate are common characteristic peaks and the peak shapes of the isoliensinine perchlorate are unique characteristic peaks of 625cm <-1 >. The quantitative method comprises the following steps: weighing a series of isoliensinine perchlorate reference substances with different masses, uniformly grinding and tabletting the isoliensinine perchlorate reference substances and 100mg of potassium bromide respectively, collecting an infrared spectrum, carrying out integration on a 625cm <-1 > characteristic peak to obtain a peak area, and drawing a standard curve by taking the peak area as a vertical coordinate and taking the sampling mass of the reference substances as a horizontal coordinate; the method comprises the following steps: weighing a sample to be detected, collecting an infrared spectrum, integrating a 625cm <-1 > characteristic peak to obtain a peak area, substituting the peak area into the standard curve equation, calculating the mass of the isoliensinine perchlorate in the sample, and substituting the mass of the isoliensinine perchlorate in the sample into the content calculation formula to obtain the content of the isoliensinine perchlorate in the sample. The method is good in precision, repeatability and stability, wide in linear range, high in linear correlation coefficient and high in recovery rate, the problem that an existing content determination method cannot avoid interference of isoliensinine is effectively solved, whether isoliensinine perchlorate is generated or not can be qualitatively judged, and the amount of isoliensinine perchlorate generated can be quantitatively detected. And a feasible new method is provided for production process optimization and quality evaluation of the isoliensinine perchlorate.

A separator for a non-aqueous secondary battery, the separator including a heat-resistant porous layer that contains an aromatic type resin and inorganic particles, and an adhesive layer that is provided on the heat-resistant porous layer, and that contains adhesive resin particles having a phenyl group-containing acrylic type resin, in which the adhesive resin particles having a phenyl group-containing acrylic type resin are adhered to the heat-resistant porous layer.

The invention discloses an intelligent receiving method, an intelligent sending method, electronic equipment and a storage medium, and the receiving method comprises the steps: generating reservation order information based on an express; based on the booking order information, binding a receiving number; each receiving number corresponds to a unique user, and each receiving number corresponds to one or more receiving addresses; determining a receiving address of the booking order information based on the receiving number, and generating order information; the receiving address in the order information is encrypted, and the receiving address is obtained after the receiving number is verified, so that intelligent receiving process management is realized, related information can be conveniently associated and managed through binding of the receiving number, and the consistency and continuity of the information are ensured.