51results about How to "Improve overall" patented technology

The invention discloses a tourism operation supervision and safety emergency management linkage command platform system. The system comprises a tourism data standard and specification establishing unit which is used for establishing tourism data catalog specifications, establishing tourism data acquisition rules and establishing tourism data exchanging and sharing standards, a tourism data management and model building unit which is used for storing and managing tourism data, building a tourism data analysis model and visually displaying tourism data, and a tourism data analysis and industry application unit which is used for monitoring the tourism industry, managing the tourism industry, making decision analysis, carrying out emergency command and providing public information service based on tourism data. Efficient, global and overall tourism industry supervision based on timely and highly-integrated information is realized, and emergency command scheduling can be supported with use of effective data information to achieve the technical effect of travel accident forecasting and warning.

The invention discloses a quick checking method for life cycle asset of power asset. The quick checking method for the life cycle asset of the power asset uses the mobile computing technology, RFID radio frequency technology, hand-held terminal equipment technology, information communication technology and other Internet related technologies to relate the life cycle asset data and check quickly so as to guarantee the real-time linkage of the accounts, cards and goods of the power asset, reinforce the basic fixed asset management, improve the financial intensive management level and lay a good foundation for the subsequent life cycle asset management. The quick checking method for the life cycle asset of the power asset perfects and improves the safety, effectiveness, precision, intensification and global performance of the asset management of the State Grid Corporation of China.

The invention relates to a conformal antenna array directional diagram comprehensive method based on an invasive weed optimization. The conformal antenna array directional diagram comprehensive method is characterized by at least comprising the following steps of: a step 101 of carrying out population initialization; a step 102 of carrying out growth and reproduction; a step 103 of carrying out spatial diffusion; a step 104 of carrying out competition and repulsion; a step 105 of determining if the seed number reaches the maximum number of population; a step 106 of selecting solutions, the number of which is Qsize, with best adaptive values in dependence on a competitive survival rule; a step 107 of determining if a present number of iterations reaches the largest number of iterations, and proceeding with the step 102 if the present number of iterations does not reach the largest number of iterations, i.e., iter<iter[max], and otherwise carrying out a step 108 of quitting an algorithm implementation process and outputting an optimal solution. In the conformal antenna array directional diagram comprehensive algorithm, the adaptability is set as a standard reproduction mechanism, and an offspring-and-parent competition and repulsion mechanism is employed, the conformal antenna array directional diagram comprehensive algorithm is global and effective, the algorithm is prevented from falling into a local optimal solution, and useful information is reserved to capacity.

The invention belongs to the technical field of bioinformatics and discloses an RNA secondary structure prediction method for a quantum genetic algorithm based on multi-population assistance. According to the method, a stem pool and a stem compatibility matrix of an RNA sequence is established according to the RNA sequence; quantum bit vectors are used to initialize multiple chromosome populations; quantum measurement is performed on each population; optimal individuals are acquired according to measurement results; the optimal individual b in all the populations is obtained and used to replace worst individuals, nonhomologous to b, among the optimal individuals in other populations, then all the populations are updated by use of different rotational angles, and other populations not participating in replacement are updated by use of a fixed rotational angle; and the process is iterated till a stop condition is met. Through the method, the global search capability and search efficiencyof the quantum genetic algorithm are effectively improved, and the evolution algebra of the genetic algorithm is lowered. Meanwhile, all the populations suppress competition and cooperate mutually, so that the globality of the algorithm is improved, and prediction accuracy is substantially enhanced.

The invention relates to a sky image cloud cluster movement velocity computing method based on the phase correlation principle. The method comprises the following steps that 1, an initial image and a displacement image of a sky image are acquired; 2, gray matrixes of the initial image and the displacement image are generated respectively; 3, image frequency spectrums of the initial image and the displacement image are acquired through the two-dimensional Fourier transform; 4, cross-power spectrum of the initial image and the displacement image and an inverse Fourier transform response matrix of the cross-power spectrum are computed; 5, spike pulse coordinates of the response matrix are extracted to serve as cloud cluster displacement vectors; 6, the cloud cluster movement velocity is computed according to the cloud cluster displacement and the image time interval. According to the sky image cloud cluster movement velocity computing method based on the phase correlation principle, the operation flow is simple and direct, and the cloud cluster displacement prediction consuming time can be greatly shortened; the overall movement condition of a cloud cluster in the image can be recognized more effectively, and due to normalization processing in cross-power spectrum computing, the higher robustness is achieved for global image noise.

The invention relates to a doctor-patient communication information platform which comprises a health file management system, an instant message publishing system, a doctor-patient communication management system, a data management system and a follow-up visiting management system. The health file management system, the instant message publishing system, the doctor-patient communication management system, the data management system and the follow-up visiting management system are in data interaction transmission with the doctor-patient communication platform through the network. By means of the doctor-patient communication information platform, the in-time, economic and stable transmission of information is achieved, a novel digital hospital client management platform and the doctor-patient communication platform are built, short message, voice and manual interaction with patients and administrated area health objects is achieved, the whole administrated area resident health level is improved, the administrated area resident hospitalization cost is reduced, the service scope of the community health agency is expanded, and the hospital service quality is improved.

The invention relates to a wire coil shelf, which comprises a base, vertical columns, rotary cantilevers and adjustable vertical supporting columns. The rotary cantilevers are connected with the vertical columns rotationally, the adjustable vertical supporting columns are connected with the rotary cantilevers, the base is provided with a lifting device, the rotary cantilevers are provided with load sensors, and intelligent display controllers connected with the load sensors are arranged on the vertical columns. The wire coil shelf has the advantages that wires and cables can be weighed through the load sensors arranged on the rotary cantilevers when in inspection of arrivals, probability of less weight of the wires and the cables of manufacturers is reduced, completeness of arrivals is increased, loss is reduced, and by the aid of the wire coil shelf, the wires and the cables can be placed orderly when in idle, and space utilization rate and integrity degree of a warehouse are increased.

The invention discloses a real-time T-S fuzzy modeling method for a heavy-duty gas turbine of a combined cycle unit, and the method comprises the steps: firstly determining a to-be-recognized model structure of the gas turbine according to the actual demands, and collecting the onsite operation data of the combined cycle unit heavy gas turbine as the training data for model recognition; then, preprocessing the initial training data to eliminate adverse effects of abnormal data; secondly, classifying the data space through an improved entropy clustering method, and automatically obtaining the clustering number and the corresponding clustering center; on the basis, introducing an improved whale optimization algorithm to correct the initial clustering center, and calculating and obtaining a corresponding clustering radius; then, obtaining each sub-model parameter in the posterior identification through a least square algorithm with a forgetting factor, and carrying out fuzzy weighting toobtain global output; and finally, verifying the model obtained by identification.

The invention relates to a manufacturing and processing method of a composite rubber sealing element. The manufacturing and processing method mainly comprises the following steps of putting the sealing element, supporting the sealing element, removing materials on the end surface, carrying out trimming treatment, collecting finished products and the like. The used manufacturing and processing equipment of the composite rubber sealing element comprises a fixed base, an air cylinder, a limiting cylinder, a material removing device and a trimming device, wherein the air cylinder is arranged on the left side of the upper end of the fixed base through an air cylinder base, the limiting cylinder is fixed on the right side of the upper end of the fixed base, the material removing device is arranged at the ejection end of the air cylinder, the material removing device is arranged on the limiting cylinder in a sliding mode, and the trimming device is arranged in the middle of the fixed base. According to the manufacturing and processing method, the problems that a traditional manufacturing and processing method of the composite rubber sealing element is only used for clamping and fixing thecomposite rubber sealing element, then trimming and finishing treatment is carried out, due to the influence of rubber elasticity, the trimming and finishing effect is not ideal, and finishing treatment cannot be carried out on the upper end surface can be solved.

The invention relates to a novel optimal design method for a permanent magnet synchronous linear motor. The method comprises the steps that (A) a sample machine is analyzed, and main structural parameters which can influence motor performance are determined; (B) a machine learning algorithm -KNN algorithm is used for training and regression fitting of finite element analysis data; (C) a global-scope optimizing algorithm-gravity center neighborhood optimal algorithm is adopted for optimization of motor performance output parameters; and (D) a group of optimal motor structural parameters are solved reversely according to optimal values, and a sample machine is fabricated according to the motor structural parameters and then tested. The method provided by the invention has the beneficial effects that (1) stability, reliability and efficiency of motor running are enhanced; (2) computation results obtained by a finite element analysis method are accurate, and errors during the computation can be eliminated; (3) the KNN algorithm is used for the training fitting of the sample data generated by the finite element analysis, a non-parametric rapid computing model is established, and a foundation is provided for subsequent intelligent algorithm optimization; and (4) application of the gravity center neighborhood optimal algorithm has higher global superiority and is quicker and more accurate.

The invention discloses a grey wolf algorithm-based economic back pressure optimization method for a wet cooling unit of a thermal power plant. The method aims to maximize the net economic benefit obtained by power generation of a cold end system of the unit, and the net economic benefit is mainly composed of the economic benefit brought by the increase of the power generation power of the steam turbine, the economic cost required for circulating water flow regulation and the economic cost required for circulating water temperature regulation. The method is based on a wet cooling unit back pressure model, takes unit operation conditions, circulating water flow and condenser inlet circulating water temperature as input variables, takes unit back pressure as an output variable, adopts a greywolf algorithm after position updating strategy improvement and population evolution mechanism improvement, and the optimal back pressure can be found more quickly and accurately through the random and rapid traversal of the input variables. According to the method, the problem that the economic back pressure of the thermal power plant is difficult to determine due to equipment parameters and operation condition changes is solved, the time required for determining the economic back pressure of the unit is effectively shortened, and the optimization precision of the economic back pressure is improved.

The invention discloses a robot path optimization method based on an improved particle swarm algorithm. The robot path optimization method comprises the following steps of constructing a gridding mapfor a robot activity space and obstacles in the activity space; dividing the gridded map into an obstacle area and a free area; constructing a path optimization function according to the first path ofthe robot and an optimization target; adopting an improved particle swarm algorithm to iterate an optimal position value in the free area, and calculating an optimal detour path of the robot in the free area according to the optimal position value; wherein the improved particle swarm optimization algorithm specifically comprises the following steps of taking a path optimization function as an appropriate value function of particles; and taking the dynamic inertia weight as the inertia weight of the particle swarm algorithm. The method is advantaged in that path optimization can be carried outin a complex environment, and globality of path optimization is improved. The invention further discloses a robot path optimization system based on the improved particle swarm algorithm, and a storage medium.

The invention relates to an imperialistic competitive algorithm-based carbon-energy combined flow solving method. Carbon-energy combined flow of a power system is optimized by adopting a multicultural transfer-based imperialistic competitive reinforcement learning algorithm; each empire adopts a value function matrix in the reinforcement learning algorithm as a cultural matrix of the empire; each optimization nation updates the cultural matrix through interaction with the environment and performs action selection according to the cultural matrix to improve the globality of a policy; and knowledge in the cultural matrix is stored in real time and multicultural transfer is performed to improve the optimization efficiency of subsequent new tasks. According to the adopted method, the cultural transfer-based imperialistic competitive reinforcement learning algorithm is a relatively new intelligent algorithm and has the advantages of high convergence speed, better global convergence, higher stability and the like, so that quick carbon-energy combined flow optimization of the large-scale power system is realized.

The invention discloses a roof caving morphology monitoring device for a primary caving period. The device comprises a guiding rack, a support rod, a push rod, a scanner and a control module. The roofcaving morphology monitoring device for the primary caving period put forward in the invention is simple in structure and can be used with a fully mechanized top coal caving hydraulic support rack ina matched manner, no manual operation is needed, a safety problem is solved, the device can be used with the hydraulic support rack in an integrated manner, and recovery can be facilitated.

The invention relates to a path learning planning system based on a knowledge graph and a target ontology. The path learning planning system comprises a subject data acquisition module, a student information acquisition module, an evaluation demand acquisition module, a knowledge graph construction module, a data link module, a data operation module and a data operation module. On one hand, corresponding learning plans and learning plans can be made for students in a targeted manner according to the respective requirements and knowledge reserve conditions of the students; therefore, the requirements of learning ability and learning habits of students are met; on the other hand, the learning contents are effectively combined; the knowledge points are reasonably combined to construct an efficient knowledge network, the distribution rationality of the knowledge points in the knowledge network and the comprehensiveness of the knowledge network coverage content are improved to meet different learning requirements and flexibly adjust the learning requirements, and finally, the convenience and the flexibility of students during learning are improved.

The invention discloses a network security event traceability analysis method, relates to the technical field of network security, solves the problem that conventional network security single analysis cannot solve event misinformation, and adopts the technical scheme that the method comprises the following steps: selecting an alarm entrance of equipment, and obtaining a quintuple and alarm time of the alarm entrance; and obtaining a plurality of device alarm entries by taking the homologous IP addresses of the quintuple as main elements, and drawing an attack topology traceability graph according to the alarm time and the device IP addresses containing the alarm entries. According to the method, the problems of false alarm and incapability of global traceability caused by traditional single alarm are solved, and the globality, integrity and accuracy of safety analysis are improved.

The invention provides an ultra high performance concrete rib with a rib bottom steel plate for a bridge deck slab. The ultra high performance concrete rib with the rib bottom steel plate for the bridge deck slab is mainly to solve technical problems, such as easy fatigue cracking, poorer tensile and compressive performance, low section utilization efficiency and high cost, of an existing ultra high performance concrete rib. The key point of the technical scheme is that the ultra high performance concrete rib with the rib bottom steel plate for the bridge deck slab comprises a rib body (7) andthe rib bottom steel plate (3); the rib bottom steel plate (3) is arranged at the bottom of the rib body (7); a shear connector (4) is arranged on the upper surface of the rib bottom steel plate (3);ultra high performance concrete is poured around the shear connector (4) on the rib bottom steel plate (3) to form the rib body (7); and the upper part of the shear connector (4) is connected with areinforcing mesh in a panel (1). The ultra high performance concrete rib with the rib bottom steel plate for the bridge deck slab is mainly used for the bridge deck slabs.

The invention discloses a lightweight steel-ultrahigh-performance concrete stiffened combination rib plate and a construction method thereof. The combination rib plate comprises a panel (1), a slab rib (2), a stiffened strengthening component (3) and a shear connecting part (4), the stiffened strengthening component (3) is arranged on the bottom of the slab rib (2) and has the equal width with thebottom face of the slab rib (2), the slab rib (2) and the stiffened strengthening component (3) are connected into a whole through the shear connecting part (4), the top of an edge plate rib on the edge of the combination rib plate is provided with a notch (5), and a plurality of wedge-shaped ports (6) are formed under the notch (5) in the length direction of the edge plate rib. The lightweight steel-ultrahigh-performance concrete stiffened combination rib plate and the construction method thereof have the advantages that the problem that the steel-ultrahigh-performance concrete rib plate fatigues and cracks easily is solved, the crack resistance of a wet joint between precast slabs is significantly improved, the excellent tensile and compressive properties of ultrahigh-performance concrete and steel material can be fully utilized, the structural self-weight is lighter, the utilization efficiency of the cross section is higher, the integral and local rigidity of a bridge deck slab ofthe stiffened combination rib plate is higher, the anti-crack and anti-overload capacity is strong, and the construction is convenient.

The invention relates to a friend-making scene-based recommendation model training method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of: obtaining a user behavior data set of a friend-making recommendation page of a target application program within a preset time; screening a first sample set from the user behavior data set to train a preset click rate estimation model, and obtaining the click rate estimation model, wherein the click rate estimation model outputs click probability parameters obtained by executing maximum likelihood calculation on the user behavior data set; performing initialization on a recommendation model to be trained based on the click probability parameter to obtain an initialized recommendation model; and constructing a second sample set based on a user behavior data set, and substituting the second sample set into the initialized recommendation model for training to obtain the recommendation model. The embodiment of the invention has the advantage of improving the accuracy of the recommendation model.

The invention discloses a fuel cell data analysis system based on data relevance and electronic equipment, and the system comprises a fuel cell big data storage module, an associated information storage module and a data analysis module, the data storage module is used for storing part parameters, research and development data, production data and real-time operation data of the fuel cell; the associated information storage module is used for generating and storing associated information among multiple layers of target data corresponding to the fuel cell according to the data stored by the fuel cell big data storage module, and storing a theoretical model of the fuel cell; and the data analysis module is used for constructing a plurality of neural network models according to the associated information and the theoretical model, and performing data analysis and fault prediction on the fuel cell through the plurality of neural network models. According to the system, the association rules among all levels of data of the fuel cell are defined, corresponding data can be conveniently extracted according to data analysis requirements, and the efficiency and accuracy of data analysis are improved.

The invention belongs to the technical field of digital image processing, and discloses a feature fine matching method and application based on a minimum spanning tree, and the method comprises the steps: converting an image into an HSL space, and carrying out the convolution of an L channel through a multi-scale Gaussian function; correcting the illumination component of the image to enhance a brightness non-uniform region in the image; equalizing brightness components among the three-line array CCD images after dodging; adopting surf feature matching for the preprocessed three-line array CCD dodging image to serve as rough matching feature points; calculating an affine transformation matrix by roughly matching the affine transformation relation of the feature point pair; generating an image minimum spanning tree according to the color in the image and the distance information, and taking the image minimum spanning tree as a weight to constrain a least square matching algorithm; and calculating a matching window correlation coefficient, continuously iterating the search window, and outputting by taking the center point coordinate as a matching point pair. The sparse matching provided by the invention has good registration precision, the average matching precision of the algorithm is 97.21%, and the average matching time is 6.3443 s.

The invention belongs to the technical field of automatic driving, and discloses a traffic flow prediction method and system based on social value orientation, a terminal and a medium. The dynamic interaction among all vehicle individuals in the traffic flow in the scene is captured by using the game theory, the selfish and the altricity of the driving behavior of the driving vehicle are quantified by using the social value orientation, and the social value orientation is fused into the calculation of traffic flow prediction to predict the driving behavior of the driving vehicle. According to the method, dynamic interaction among all vehicle individuals in a scene is captured by using a game theory, a social value orientation parameter is introduced to quantify selfish and altricity of driving behaviors of human drivers, and the parameter is fused into calculation of traffic flow prediction; therefore, the driving behavior can be predicted stably and effectively. According to the method, the selfish or alliance degree of the vehicle driver is quantified, and how the vehicle driver interacts and cooperates with others can be better predicted.

The embodiment of the invention discloses a human body posture recognition method and device based on grouping convolution, equipment and a medium. The human body posture recognition method based on grouping convolution comprises the steps of acquiring a to-be-recognized image; inputting the to-be-recognized image into a human body posture recognition model to obtain an output result of the humanbody posture recognition model, wherein the human body posture recognition model comprises at least two groups of convolution units and is used for obtaining at least two pieces of feature data of theto-be-recognized image; and determining a human body posture in the to-be-recognized image according to the output result. According to the embodiment of the invention, the globality of human body posture feature extraction is improved through the at least two feature data of the to-be-recognized image, the inaccurate posture recognition caused by the impact from local features is avoided, and the posture recognition accuracy and the generalization of the human body posture recognition model are improved.

The invention discloses a milky sweet flavor characteristic of cordyceps for cigarette tipping paper, which comprises the following components in parts by weight: 1-10 parts of cordyceps extract, 10-30 parts of vanillin, 1-5 parts of heliotropin, 0.1-0.5 parts of dihydrocoumarin, 10-35 parts of 95% ethanol and 20-80 parts of propylene glycol. The milky sweet cigarette tipping paper with cordycepscharacteristics is the milky sweet flavor with cordyceps characteristics added to a printing ink. The preparation method comprises the following steps: the raw materials of cordyceps sinensis are crushed, refluxed and concentrated to obtain cordyceps extract; all the components are mixed according to the volume ratio, and fully stirred; the milky sweet flavor is added into the printing ink of thecigarette tipping paper, the printing ink is printed onto the tipping paper base paper, and then the milky sweet and fragrant cigarette tipping paper with the characteristics of the cordyceps is obtained through the processes of gilding, slitting and punching. In the method, the soft and comfortable milky sweet aroma style is imparted to the cigarette, the suction quality is improved, the smoke issoft and comfortable, the taste is improved, the delicate smoke is improved, at the same time, the pharmacological and healthcare effects of the cordyceps are provided, so that the comprehensive quality and the safety of the cigarette are improved.

The invention discloses a robot path optimization method based on an improved particle swarm algorithm, comprising: constructing a grid map for the robot activity space and obstacles in the activity space; dividing the grid map into obstacle areas and the free area; build a path optimization function according to the first path of the robot and the optimization target; use the improved particle swarm algorithm to iterate the optimal position value in the free area, and calculate the robot in the free area according to the optimal position value Wherein, the improved particle swarm algorithm specifically includes: taking the path optimization function as the moderate value function of the particle; taking the dynamic inertia weight as the inertia weight of the particle swarm algorithm. The present invention can perform path optimization in complex environment and improve the globality of path optimization. The invention also discloses a robot path optimization system and a storage medium based on the improved particle swarm algorithm.

The invention discloses a fire-resistant energy-saving steel structure which comprises a supporting column, a connecting column, a supporting frame, a supporting structure and a connecting assembly, the connecting column is of an I-shaped rod-shaped structure, a fastening cavity is formed in the connecting column in the axis direction of the connecting column in an extending mode, and positioning grooves are formed in the I-shaped outer side edge of the supporting column at equal intervals. A supporting structure is arranged at the positioning groove, and connecting assemblies are installed at the two ends of the supporting column. The connecting assembly comprises a connecting block, a protruding column and a protruding plate, the connecting block is of an I-shaped block structure, the protruding column is fixed to one side edge of the connecting block, the protruding column is of a rectangular block structure, fastening holes are formed in the two ends of the protruding plate and the two ends of the connecting column, and the protruding plate and the connecting column are fixed through fastening bolts. The fireproof and energy-saving steel structure is reasonable in design, capable of improving the whole and edge supporting effect of the middle section of the steel structure, convenient to install and suitable for application and popularization.

The invention relates to a power distribution room anomaly detection method and system, a server, an edge gateway and a medium. The method comprises the following steps: receiving an anomaly detection model sent by a plurality of edge gateways, wherein the anomaly detection model is a model obtained by training an initial anomaly detection model sent by a server by the edge gateway according to power distribution room operation data sent by a sensing layer device; determining a target model parameter from the model parameters of the anomaly detection models according to the difference degree between the anomaly detection models; and training the initial anomaly detection model according to the target model parameter to generate a target anomaly detection model, and sending the target anomaly detection model to the edge gateway, so that the edge gateway can carry out data anomaly prediction according to the target anomaly detection model when the operation data of the power distribution room is received. By adopting the method, the globality of power distribution room anomaly detection can be improved.

The invention discloses a global digital operation and maintenance system and operation and maintenance method based on a BIM technology. According to the invention, the BIM technology is adopted to construct the digital model of the storage and inspection integrated center; combining with Internet of Things technology, information fusion of the storage and inspection integrated center BIM model and the operation model is carried out; the storage and inspection integrated center global digital operation and maintenance system based on the BIM technology is established, storage and inspection integrated center global range visual operation and maintenance are achieved, and the system has important significance in improving the globality, intuition, positioning accuracy and maintenance efficiency of operation and maintenance.

The invention relates to a line loss optimal segment point optimization design method and equipment considering space-time expansion. The method comprises the following steps: 1) obtaining basic machine account data of a power distribution network system to be optimized and operation data of power distribution network equipment in one year; 2) based on the basic standing book data, considering spatial expansion, and determining an analysis range of a to-be-optimized power distribution network system; 3) in the analysis range, based on the operation data of the power distribution network equipment in one year, time extension is considered, and optimal segmentation point optimization calculation is carried out; and 4) taking the optimal calculation result as the optimal segmented operation mode of the distribution line in the analysis range. Compared with the prior art, the method has the advantages of high reliability, high accuracy and the like.

The invention discloses a passive door-leaf-concealing door. Through arrangement of an external aluminum frame with heat insulation property, butt-joint gaps formed between the periphery of a door leaf and a door frame during door leaf closing are completely shielded and concealed, the door leaf concealing function is achieved, thus the integrity degree of the outer side of a building is improved,and the aesthetic property of the outer side of the building is increased. Through filling of a door cavity of the door leaf with a fire-resistant heat insulation material, arrangement of a heat insulation layer on the external aluminum frame, ladder-like arrangement of all connecting plates on the door leaf, and the sealing connecting effect of sealing rubber strips at all butt-joint positions,the heat transfer coefficient of the whole door can reach the using standard of a severe cold area, the heat insulation property is extremely good, and the passive door-leaf-concealing door with highpracticability is formed; and meanwhile, through arrangement of matching of the water-retaining sealing rubber strips with skew fillets on an external door plate, the property of resistance for wetting by rain of the whole door structure is improved, the problem that a rain cape cannot effectively shield rainwater for the bottom of the door leaf is solved, the service life of the door leaf is prolonged, the rainwater can be effectively prevented from leaking into an indoor space from a bottom gap between the door leaf and the door frame, and the practicability is extremely high.