202results about How to "Change limitations" patented technology

The invention discloses a client distributed path computation method based on a software defined network architecture. The client distributed path computation method comprises the following steps: a user obtains network topology and linkcost information from a network controller through a northbound interface of a controller, calculates the path on the basis, determines route and flow distribution, and submits a route request to the controller; the network controller is responsible for updating the network topology and link state, and issuing a flow statement to data forwarding equipment according to the route selection of the user. Through the route calculation, the user participates in the network control to achieve the distributed optimization during the use process of network resources; meanwhile, the controller provides network topology information for the user, and can achieve the virtualization of the network resources and functions for the user and the optimal configuration and the integrated use of the network resources. Through the application of the method, the user can get great rights within a network safety range, the network transparency is improved, and an SDN frame serves for the user.

A truss supporting technology for controlling ingredient top slope deformation is adapted for controlling the sinkage of wide span alley way top board separation layer, the top board and alley slope shear-slip breakaway or controlling the deformation of alley slope part. When using an anchor rod anchorage cable support for ingredient top board or alley slope part, plural trusses composed of two steel twist lines and double hole steel bushing coupler is set on the ingredient top board or alley slope part with spaces for support, each truss is shielded under the anchor solid, two steel twist lines are connected and locked by the coupler to form expansion and pull force to generate extrusion and protection function for the ally way top board or slope part. Not only the problem that the sinkage of the wide span alley way top board separation layer and the top board and alley slope shear-slip breakaway is solved, the top board is supported effectively, but also the displacement of the alley slope towards to alley inside is controlled, thereby the deformation of the alley slope is reduced, so the alley way can satisfy production requirement. In addition, the connection of the support whole body between the steel twist lines is adopted to change the limit of single anchorage cable support. The structure is simple, convenient in use and has broad practicability.

The invention relates to a swinging device with a three-dimensional scanning laser radar. The swinging device is characterized by comprising a radar swinging bracket and a vertical direction swinging mechanism, wherein the entire frame of the radar swinging bracket consists of an installation support surface, a swinging plate, an installation support surface and swinging brackets on both sides ofthe swinging plate; the swinging plate is provided with a connecting lug; one end of each swinging frame is fixedly connected with the side wall of the installation support surface; the other end of each swinging bracket is in shaft connection with a support shaft and the swinging plate through the connecting lug; a reset spring is connected between the swinging plate and the installation supportsurface; and the inner side face of the installation support surface is fixedly connected with the vertical direction swinging mechanism. The swinging device has the advantages: the radar swinging bracket is arranged on an original radar installation surface, a radar is arranged on the swinging surface of the radar swinging bracket, and a cam is driven to swing along the vertical direction, so that nodding type vertical swinging of a SICK radar is realized, and a two-dimensional laser radar is converted into a three-dimensional scanning laser radar.

The invention discloses an isolated liver perfusion system and method. The system comprises a perfusate temperature control tank, an isolated liver preservation tank, a portal vein perfusion path, a hepatic artery perfusion path, a perfusate backflow path and a bile collector. The portal vein perfusion path is used for conveying perfusate to the portal vein of an isolated liver, the hepatic artery perfusion path is used for conveying perfusate to the hepatic artery of the isolated liver, the perfusate backflow path is used for recycling perfusate flowing out of the isolated liver into the perfusate temperature control tank, and the bile collector is connected with the isolated liver preservation tank and used for collecting bile. The isolated liver is perfused from the portal vein and the hepatic artery through the two paths respectively, the system and method are applicable to damage protection in the isolated liver preservation process, the reperfusion injury of the liver can be significantly relieved, and reliability, stability and repeatability are high. The system and method can effectively store the isolated liver at low temperature, mild hypothermia and normal temperature, and the limitation that the isolated liver needs to be stored at low temperature and the requirement for marginal donor liver preservation cannot be met in the prior art is changed.

The invention relates to an automatic identifying method of artery plaque type based on an ultrasonic image in a blood vessel. The method comprises the following steps of: extracting two images of a plaque area and a plaque radial area as the classification feature with respect to the characteristics of plaque ultrasonic image in the artery blood vessel; extracting the image classification information via K-L conversion, mapping a plurality of features into a few comprehensive features, and reducing the space dimension of the features; and constructing a classifier suitable for the plaque image by using a support vector machine as the classification model, wherein the support vector machine classification method comprises a training stage and an identifying stage. The method improves the precision rate for identifying the plaque and provides an objectivity reference basis for clinically diagnosing the degree of blood vessels of coronary arteries.

The invention discloses a weighting network node importance assessment method based on network heterogeneity. The method is based on the contribution entropy of nodes, and takes the network heterogeneity and the range of change of the network heterogeneity as an index for weighing the importance of the network nodes. The heterogeneity reflects the uniformity of a network. The more the heterogeneity of the network changes after some node is removed, the more important the node is on the network. Due to the fact that the network heterogeneity index which can reflect the overall macrostate is adopted, the limitations of focusing on details of the nodes with the existing public method in general use are overcome. The method not only can assess the importance of all the nodes accurately, but also solves the problem that misjudgment may be caused because cut points exist.

The invention provides a spinning device used for molding interlayer nano-fabric for once, and a method for preparing the interlayer nano-fabric by applying the spinning device. The device comprises a machine body, a liquid supply device, a collecting device and at least two groups of spinning devices, wherein the two groups of spinning devices are respectively positioned at the left and the right sides of the machine body and respectively comprise at least one spinneret; the spinnerets of the two groups of spinning devices are arranged in an opposite way and are respectively connected with high voltage with opposite polarity; the collecting device is a roller device connected with a motor, can rotate around a shaft and is positioned between the two groups of spinnerets; the axial direction of the roller device is vertical to the spinning direction of the spinnerets; and the roller device can make axial reciprocating motion parallel to the roller device under the control of the motor. When different polymer solutions are provided by the two groups of spinning devices, the continuous interlayer nano-fabric can be formed on the surface of the roller device due to the action of electric field force as well as rotation and reciprocating motion of the roller device.

The invention discloses a multi-model self-adaptive controller and control method designed for a zero-order closely-bounded nonlinear multivariable system. The multi-model controller is provided with a nonlinear robust self-adaptive controller and a nonlinear neural network self-adaptive controller. Due to the fact that a nonlinear complementation item is introduced, the identification model of the nonlinear robust self-adaptive controller and the output errors of a real system are guaranteed to be bounded. The BIBO stability of the system can be guaranteed through a one-step advanced control law designed by utilizing model errors. System control signals are generated through the switching of the two controllers, and the performance of the system is improved through the neural network self-adaptive controller.

The invention provides a telescopic crossed yoke fluorescent magnetic powder inspection machine. A crossed yoke comprises a fixed yoke parallel to the surface of a workpiece to be tested and a moving yoke perpendicular to the surface of the workpiece to be tested, the moving yoke passes through a sliding bushing and is in sliding connection with the fixed yoke, and the moving yoke is provided with a pressure spring. The invention successfully realizes that each magnetic pole of the magnetic powder inspection machine has telescopic function so as to closely contact the workpiece by dividing the crossed yoke into the fixed yoke and the moving yoke, thereby guaranteeing the magnetic-field intensity during the fault detection. The magnetic powder inspection machine is also provided with a CCD image acquisition device, and realizes the program control of working procedures of feeding, magnetization, CCD observation and discharge as well as on-line detection monitoring and automatic fault detection through the program control operation of a PLC.

A method for analyzing the elasticity of vessel walls based on finite element deformation theory belongs to the medical image analysis field. The elasticity of the vessel wall is analyzed by calculating strain characteristic values of the vessel wall in an IVUS image under pressure. An ultrasound transducer hovers in a certain position of a blood vessel lumen for acquiring images of a plurality of cardiac cycles; and the images are input into a computer for processing. The method comprises that: a template matching method is used for searching out matching points of marking points in an original image in a template image; the vessel wall is divided into a plurality of layers according to the organization characters of the vessel wall; a method for calculating the elasticity of the vessel walls based on finite element partition is provided; the vessel walls are divided into a plurality of conjoined triangles according to the characteristics of triangle infinite element strain; with a view to the interaction of the triangles in deformation, factors of influence are also added into the calculation of the strain value. The limitations existing in the existing method for analyzing the elasticity of the vessel walls are changed. The characteristics of pathological changes of the vessel walls are exactly portrayed, thus creating conditions for the analyzing of pathological changes.

The invention relates to a grid scheduling method based on energy optimization, which includes: 1. energy resources are the research focus of scheduling and factors such as initial energy value, network bandwidth, etc. are taken into consideration; 2. the energy optimization is achieved to ensure minimum energy consumption in the resource scheduling and the energy consumption in the grid resource scheduling is divided into calculation consumption and network communication consumption; 3. the optimization of time span is taken into consideration so as to ensure the load balance of the resource in the process of energy optimization; 4. a grid scheduling method based on energy optimization with a comprehensive consideration of energy constraint and time constraint is proposed. The method has the advantages that: 1. the limitation of singleness of resource type in the traditional resource scheduling calculation is changed; 2. the energy optimization is taken as the research focus of the scheduling model; 3. the problem of load imbalance caused in the process of energy optimization is solved; 4. an energy cost function is defined on the basis of time span optimization and energy optimization and the grid resource scheduling method based on energy optimization is proposed on the basis of the cost function.

The present invention discloses an X-ray multi-purpose nondestructive flaw detection device and a workpiece detection method thereof. The structure of the device includes a protective lead room, an objective table set up in the protective lead room, a linear array detector, and an X-ray machine. The linear array detector and X-ray machine respectively have a motion mechanism capable of operating independently; the motion mechanism operating independently of the X-ray machine includes an X-ray machine transverse motion mechanism and an X-ray machine longitudinal motion mechanism; and the motion mechanism operating independently of the linear array detector includes a detector transverse motion mechanism, a detector longitudinal motion mechanism, a rotary chuck, a lifting mechanism and a translation mechanism, so that the device is compatible with CT (three-dimensional) detection and DR (planar) detection functions. In CT mode, high-resolution image files can be obtained for research and development or sampling operations; DR mode is applicable to mass workpiece detection with low detection precision requirement; thus, detection mode can be converted based on need to meet the needs of flat or three-dimensional imaging.

The invention relates to an automatic intelligent design and optimization system for an anchor bolt support of a coal tunnel. The system comprises a tunnel surrounding-rock index obtainment and stability classification subsystem, an anchor bolt support parameter intelligent-matching subsystem and a support design verification and optimization subsystem, wherein the tunnel surrounding-rock index obtainment and stability classification subsystem realizes the classification and evaluation of tunnel surrounding-rock stability by processing data input by a user or calling parameters in relevant knowledge bases; the anchor bolt support parameter intelligent-matching subsystem establishes a training model based on a sample tunnel training BP (Back Propagation) neural network in an internal knowledge base of the system to realize the intelligent matching of anchor bolt support parameters of the coal tunnel; the support design verification and optimization subsystem implements theoretic checking calculation based on a suspension theory, a combined beam theory, a combined arch theory and an energy theory according to the anchor bolt support parameters obtained by the anchor bolt support parameter intelligent-matching subsystem, and automatically analyzes various support schemes to select the support scheme which meets the deformation requirements of tunnel surrounding-rocks, wherein the selected support scheme being the optimal support scheme is recommended to the user. By applying the system, the scientificity and the reasonability of the anchor bolt support structure and parameters are effectively guaranteed; the reliability of an anchor bolt support system is improved; the healthy development of an anchor bolt support technique for the coal tunnel in our country is promoted.

The invention discloses a deformation monitoring method, comprising the following steps of: 1. installation of a monitoring device and establishment of a space coordinate system; 2. detection of an inclination angle of an object to be tested; 3. compensation of an inclination state of the object to be tested; 4. monitoring of a settlement state of the object to be tested; and 5. monitoring of a cracking state of the object to be tested. The deformation monitoring method disclosed by the invention has the advantages of reasonable design, low cost, time saving, labor saving, small cost, and capability of obtaining deformation states such as inclination, settlement, cracking and the like of buildings, structures and slopes, and performing real-time monitoring, so that forecast can be proposedin time, prevention measures can be conveniently taken, and the practicability is high.

The invention provides a colloidal gold cassette for rapid detection of melamine, the colloidal gold cassette has rapid detection, convenient carry and simple operation, the invention also provides a preparation method of the cassette, the preparation process thereof is simple, and the cost is low. The colloidal gold cassette comprises a test strip, the test strip is packaged in a shell body of the cassette, a sample adding hole and an observation hole are arranged on the shell body of the cassette, the test strip comprises a bottom plate, the colloidal gold cassette is characterized in that water absorbent paper, a nitrocellulose membrane, a gold-labeled pad and a sample pad are sequentially arranged on the bottom plate of the test strip, the water absorbent paper and the gold-labeled pad are respectively arranged at the two ends of the nitrocellulose membrane, small sections of the water absorbent paper and the gold-labeled pad are respectively overlapped on the nitrocellulose membrane at the junctions at the two ends of the nitrocellulose membrane, the sample pad is arranged at the other end of the gold-labeled pad, a small section of the sample pad is overlapped on the gold-labeled pad; a gold-labeled anti-melamine monoclonal antibody is sprayed on the gold-labeled pad; a detection line with the material of a melamine-ovalbumin coupled conjugate and a quality control line with the material of goat anti-mouse IgG are sequentially sprayed on the nitrocellulose membrane.

The invention relates to an image identification and detection system, comprising an image collection and control module, an image processing platform and a procedure control module, wherein, the image collection and control module, the image processing platform and the procedure control module are respectively and independently arranged, and the image collection and control module and the image processing platform and the image processing platform and the procedure control module are respectively communicated by network communication equipment. The image processing platform adopts a design based on a database technology and an object oriented technology, and the bottom layer of the system is an object processing function library of various images designed according to a processing frame of the system; a figure full-Chinese configuration interface provided by the system is used for a user, and the system adopts a modularization design. The invention has the advantages that the user canflexibly add specific function modules by adopting the system so as to ensure the realization of the requirement of the user, and the functions of the system can be continuously expanded along with the increase of applications simultaneously.

The invention provides a technology for engraving tridimensional wood lines in the surface of an aluminum profile. The technology comprises the following steps of pre-processing the aluminum profile, spraying and curing solidified powder wood lines, removing powder from the surface, washing, spraying spray powder or carrying out oxidation and electrophoresis, and carrying out vacuum transfer printing. According to the technology, the limitation of the traditional aluminum profile spraying technology is broken through, the tridimensional effect of the wood lines is more obvious and authentic, and the visual effect of the tridimensional wood lines is closer to that of real raw wood.

The invention discloses a method for planting tea trees, which is characterized in that it comprises the following steps: (1) seed selection (2) site preparation (3) planting (4) seedling replenishment (5) weeding and pest removal (6) topdressing ( 7) The pruning of tea seedlings. Through the above method, the present invention has changed the traditional limitation of only planting on hillsides, avoided the negative impact of other plants on the growth of tea trees, ensured the survival rate of tea seedlings, and made the growth of tea trees healthy without using pesticides and chemical fertilizers. In the natural state, the quality of the tea tree is better and the survival rate is high, which can also increase the yield and economic income of the tea tree.

The invention provides a method for accessing a home base station into a network and a home base station management server. The method comprises the following steps: the home base station management server receives a registration request sent by the home base station on the basis of a communication link between the home base station management server and the home base station; the home base station management server judges whether the home base station is allowed to be accessed according to authorization information in the registration request; the authorization information comprises security key information and access port information; the home base station management server configures the frequency points of the home base station; and the home base station management server configures the wireless parameters of the home base station. In the method provided by the invention, the access port information of the home base station is taken into consideration, a user can freely move the home base station as required so as to access the home base station to the network. The access method provided by the invention has wide selection range on the frequency points. The home base station management server and the home base station can interact with each other so that the configured parameters can meet user requirements better, and the process of parameter configuration is more flexible.

The invention relates to a chemiluminescent immunoassay method for 3,5,3'-triiodothyronine in blood serum. The method comprises the steps of preparing T3 standard substance, preparing and diluting enzyme marker, coating envelope antigen into a precoated reaction plate, preparing luminescent substrate solution, preparing washing concentrate and the like. According to the chemiluminescent immunoassay method for 3,5,3'-triiodothyronine in blood serum, the detection sensitivity and detection range can be greatly detected by combining chemiluminescent technology on the basis of enzyme immunoassay, the limitness of the traditional chemiluminescent substrate solution can also be changed, the manner that two luminescent substrate solutions are mixed to be used is changed, only one luminescent substrate solution is used, so that the operation is simpler, thereby bringing greater convenience and flexibility for large-scale production and clinical application of products.

The invention discloses a multifunctional X-ray channel type CT / DR detection device. The multifunctional X-ray channel type CT / DR detection device comprises a detection transmission line, a lead protection channel covering the detection transmission line, a lead protection door arranged on one side of the lead protection channel, a lead curtain suspended on two ends of the lead protection channel, an X-ray machine arranged at the top of the inner part of the lead protection channel, a linear array detector corresponding to the top and the bottom of the X-ray machine and arranged at the bottom of the inner part of the lead protection channel, a workpiece mounting base arranged inside the lead protection channel, in front-back correspondence to the lead protection door and used for mounting, moving and rotating the workpieces, a CT scanning mechanism arranged on the workpiece mounting base and a field operation table connected with the X-ray machine, the workpiece mounting base and the CT scanning mechanism and used for controlling the workpieces to scan, image and move. According to the multifunctional X-ray channel type CT / DR detection device, a DR moving mechanism and a CT moving mechanism capable of independently running are respectively mounted inside the detection device and are capable of respectively running according to the requirement, so that DR and CT functions can transform and make an organic combination.

The invention discloses machine-made sand pump concrete and a preparation method thereof, and belongs to the technical field of building materials. The preparation method comprises the following steps that firstly, machine-made sand is doped with pulverized fuel ash and then subjected to dry mixing to obtain a pre-mixed material, wherein the mass ratio of the machine-made sand to the pulverized fuel ash is 1:0.04 to 1:0.09; and secondly, other raw materials are added into the pre-mixed material and are stirred to prepare the machine-made sand pump concrete. According to the machine-made sand pump concrete and the preparation method thereof, the graduation and fineness modulus of fine aggregate are improved by doping the pulverized fuel ash to replace natural sand, and superfine stone powder is adopted as blending stock to be charged into gaps between grains of cementing materials such as cement, so that the pump concrete is prepared; and the concrete mixed through the method has the characteristics of being good in workability and fluidity, high in pumpability, low in water consumption and the like, the machine-made sand is widely applied to various pump concrete in the fields of industrial and civil construction and the like, immoderate dependence on and over exploitation for natural sand resources are reduced, the ecological environment is protected, and the economic and ecological benefits are remarkable.

The invention belongs to the technical field of equipment maintenance or management, and discloses an aircraft formation hierarchical network access management method and system. The management methodincludes the following steps: initializing aircraft formation network parameters; identifying aircraft node capability state information; defining node comprehensive property parameter indexes by using the node capability state information; constructing a whole network node capability visibility graph according to the comprehensive property parameter indexes; selecting a formation network accessinitiation node according to the consideration of the node capability visibility graph and the geographical location area; completing control information interaction between the network access initiation node and a main topology central control node according to the principle of minimum hop count and a sleep state multipath way-finding mode based on geographic location information; and carrying out information in a formation after the network access initiation node receives network access response so as to make the nodes update a local information field to finish the formation network access.According to the invention, maximum network access efficiency is obtained with lowest cost, the comprehensive performance of formation network access is improved, network communication QoS needs are guaranteed, and the task completion efficiency and quality are improved.

The invention discloses a water-locking antibacterial material for diapers and a preparation method of the water-locking antibacterial material, and belongs to the field of baby products. The water-locking antibacterial material for diapers comprises the following raw materials: polyether sulfone resin, corn starch, polylactic acid, chitosan, alpha-L-guluronic acid, beta-D-mannuronic acid, gelatin, lignin, phtheirospermum japonicum, sodium hydroxide, cholic acid, polyaspartamide, herba andrographis, radix cordylines fruticosae, fructus forsythiae, rhizoma anemarrhenae, rhizoma polygoni cuspidati, silk fibroin, acrylic acid, sodium alginate gel, hydroxyethyl acrylate, glycerol, polyacrylamide, potassium persulfate, sodium sulfite, N, N-methylene bisacrylamide, modified antibacterial additives, and water-locking and reinforcing materials. The invention discloses specific steps of a preparation method of the water-locking antibacterial material for diapers. The water-locking antibacterialmaterial for diapers provided by the invention has excellent antibacterial and water-locking properties.

The invention discloses a building domain knowledge graph construction method based on neural network self-adaptive optimization parameter adjustment. The method comprises the steps: firstly collecting building domain entities, entity attributes and corpora, and then carrying out the preprocessing, and obtaining a building entity recognition model annotation data set EntityData; training a self-adaptive entity recognition model based on BERT-BiLSTM-CRF by utilizing the data set EntityData, so as to obtain an entity recognition model EntityModel in the building field; preprocessing the buildingdomain relation data set to obtain a data set RelationData; training a self-adaptive relation extraction model based on the GRU by utilizing RelationData to obtain a RelationModel of a building domain relation extraction model; and finally, entities and attributes in the building field text data set are extracted through the EntityModel and the RelationModel respectively, and a building field knowledge graph is constructed. A user inputs a construction drawing review point through the Web platform, a hidden relation in the knowledge base is mined according to the construction drawing review point input by the user, and mined expert opinion information Recom is returned to the Web platform. According to the method, self-adaptive parameter adjustment is adopted, and compared with traditional manual setting, the knowledge graph of the building field is constructed more effectively.

The invention discloses a multi-target tracking and facial feature information identification method. The method comprises the following steps: firstly, inputting a facial video and converting the facial video into a human face key frame set SF; obtaining a data set SFD through classification and data enhancement SF; extracting SFD features by using an improved miniXaction model to obtain a self-adaptive optimization facial feature recognition model FFsmodel; extracting a key frame sequence in the face data stream FEV, and adaptively aggregating face tracking features to obtain a multi-targetface key frame position set FEC; loading an FFsmodel model and inputting the FFsmodel model into FEC to generate a multi-target facial feature classification result set FECR; and finally, opening an adaptive identification interface to process a terminal request, and storing an obtained processing result set of sign-in and target feature tracking state identification in a multi-target scene in a Web server. The improved multi-target tracking and self-adaptive facial feature recognition technology is combined, the picture feature result label with the highest accuracy can be effectively obtained, and the accuracy and use value of face tracking and facial feature recognition in a multi-target scene are improved.

The invention discloses a liquid-state calibration product for determining the ProGRP content. The liquid-state calibration product for determining the ProGRP content is prepared from the following components: 10 to 200mmol / L of buffer solution, 0.1 to 0.5 percent (w / v) of preservative, 1 to 5 percent (w / v) of protein stabilizer, 5 to 10 percent (w / v) of sugar stabilizer, 1 to 5 percent (w / v) of EDTA (Ethylene Diamine Tetraacetic Acid), 0.1 to 0.5 percent (w / v) of surfactant, 0 to 5000pg / mL of ProGRP antigen, and 1 to 10mg / L of aprotinin. The liquid-state calibration product for determining the ProGRP content provided by the invention has the advantages that no freeze drying is needed, no redissolving is needed when in use, uncontrollable factors probably occurred in a redissolving processare reduced, and a clinical detection result is more accurate. The sugar stabilizer, a metalloproteinase inhibitor (EDTA), the aprotinin and other components are added, so that the stability of the ProGRP protein is effectively improved, and the prepared ProGRP liquid-state calibration product is better in stability and can be stably stored for 12 months by being refrigerated at 2 to 8 DEG C.

The invention provides a media interaction method and device with self-learning abilities, and relates to the technical field of self-media. The core analysis method of the device includes the steps of target content management, target data collection under target content coverage, target data and content relevance analysis and performing question answering and guidance on the target data throughthe target content, and verification and correction of the target content through the target data. The media interaction method includes the steps of extracting the target content from an electronic media and obtaining the target data sent by an object, wherein the range of the target data is determined by the target content; performing relevance analysis on the target data and the target content,generating an analysis result, verifying and correcting the target content, and performing question answering and guidance on the target data. The method and device provide intelligent learning, solve the problem of relative low accuracy and precision of data collected in the past, effectively eliminate the state of higher target content error, implement the concept of associating theory with practice in cultural communication, and shorten the periodicity of scientific culture verification.

The invention discloses a planting method of tea trees. The planting method comprises the following steps of 1, seed selection, 2, land selection, 3, land preparation, 4, soil acidity and alkalinity adjustment, 5, planting of tea saplings, 6, management of a tea garden, 7, weeding and pest killing, 8, topdressing and 9, pruning. By means of the planting method of the tea trees, organic fertilizerand biomass fertilizer are utilized, the method is environmentally friendly, the organic fertilizer has balanced nutrients, the absorption of the fertilizer by the tea trees is facilitated, and soil hardening is prevented; the damage of diseases and insect pests to tea leaves is reduced, other insect pests are killed through insecticidal lamps or manual work, and the planting method is natural andinnocuous; the tea trees grow in a healthy and natural state, the quality of the tea trees is higher, the survival rate of the tea trees is high, and the yield of the tea trees can also be increased;the limitation situation that tea trees are all planted on mountain slopes is changed, the survival rate is 90% or above, branches are pruned many times in the growth process of the tea trees, the branching rate of the tea trees can be greatly increased, the tea yield of the single tea tree can be increased by 20-30%, and the economic efficiency is improved.

The invention discloses a two-stage splitting router applied to a hierarchical network on a chip and a routing algorithm thereof. The two-stage splitting router is characterized in that a decoding module of the router is set into a multicast routing computation module; and the multicast routing computation module comprises a classification decoding unit YM, a unicast data packet routing computation unit SR, a multicast uplink data packet routing computation unit UR, a multicast downlink data packet routing computation unit DR and an output port register unit. Through adoption of the two-stage splitting router, a hybrid multicast routing algorithm can be optimized and improved at a certain degree, and data in multicast data packets are selectively split and transmitted through a two-stage splitting method, so that delay of the multicast data packets is lowered, and meanwhile the congestion state of an upper-layer network is optimized.