385results about How to "Reasonable choice" patented technology

The invention provides a prospective interpolation system for compressing and smoothening small segment paths. The prospective interpolation system comprises a path smoothening module, a curve scanning and segmenting module, a bidirectional acceleration module, a speed planning module and an interpolation module, wherein the path smoothening module is used for extracting small segment coordinate information in codes by reading information of G01 segments of numerical control codes G, conducting calculation according to the coordinate information and conducting path compression and smoothening on small segments; the curve scanning and segmenting module, the bidirectional acceleration module and the speed planning module complete S-shaped speed planning tasks with limited jerk; the interpolation module is used for generating discrete interpolation points according to planning speed obtained through calculation; the interpolation points can be stored and used for position closed-loop control. The prospective interpolation system is high in calculation efficiency in the whole process, small in calculation quantity, simple in programming realization and capable of being further applied to a high-speed and high-precision numerically-controlled machine tool.

The invention discloses an optimal route selection method for overhead transmission line route. Onboard lidar equipment is adopted to acquire laser point cloud data and aerial digital photo data of the transmission line route corridor range; the onboard lidar data is processed after the wave filtering and the sorting of the laser point cloud data, and the points of the ground surface are made into a digital elevation model with high precision; then data processing is carried out by utilizing the data of the digital elevation model with high precision and ortho-rectification is carried out to the aerial photo by utilizing the internal and external orientation elements of the aerial digital photo to generate digital orthophoto maps; through the overlying of the digital elevation model and the digital orthophoto maps, the tridimensional visualization of the transmission line route corridor can be realized to optimize the transmission line route selection; finally prearrangement of power pole and power pole arrangement are carried out according to the data of plane cross sections. The route selection platform of the invention has simple operation and lifelike tridimensional scene, thus being convenient for full roaming and multi-view observation and greatly improving the efficiency of the inner plane cross section survey operation. Compared with the optimal route selection technology based on the aerial photographing measuring method, the efficiency of the inner plane cross section survey operation can be improved by about 75 percent.

Disclosed are a method, an apparatus and a system for managing a virtual network service. The method comprises: a cloud service provider acquiring a function requirement and a performance requirement of a user to a network service; the cloud service provider analyzing the function requirement and the performance requirement to the network service, and obtaining an implementing solution of a virtual network service by combining existing virtual resources; and the cloud service provider managing and configuring a network device or a server device according to the implementing solution, to implement the virtual network service required by the user. Therefore, the method, apparatus and system of the present invention can flexibly and reasonably select a specific manner of providing a network service according to the function requirement and the performance requirement of the user.

The invention discloses a multi-layer anomaly detection method based on network traffic. The invention is capable of detecting the small traffic attack behavior well with high detection accuracy, andmay adapt to different data sets. The invention comprises: firstly adopting a binary representation of symbol attributes in the data preprocessing stage to eliminate the negative influence of the traditional numerical size on the classification, and raising the attribute set of the data set to a relatively high dimension, so that the subsequent data classification effect is more accurate; then using the dimension reduction method to extract features and reduce the amount of data, so that the running speed is faster and the memory consumption is lower during the subsequent steps; subsequently,using the KNN outlier detection method and genetic algorithm combination method for data selection, so that different types of data are more balanced, each type of data is separated as far as possible, and the classification result is fairer; finally, using the constructed multi-layer classifier, thereby enabling more accurate identification of large-flow attacks and small-flow attacks.

The invention discloses a network dynamic service monitoring method. The method comprises the following steps: extracting already finished network service data in a specific period from a network service data record as historical service data, adjusting and calculating a success rate reference value to obtain an adjusting success rate reference value in accordance with the success rate reference value or a failure rate reference value which is obtained according to the historical service data, and determining whether the adjusting success rate reference value is smaller than or equal to a preset fluctuation ratio alarm threshold; or performing adjustment and calculation on the failure rate reference value to obtain an adjusting failure rate reference value, and determining whether the adjusting failure rate reference value is greater than the preset fluctuation ratio alarm threshold; if so, determining that severe abnormities occur in network services within a monitoring period; and determining the severity of the severe abnormities through severity scores. By using the dynamic service monitoring method, the network service monitoring accuracy and flexibility are improved, and the manual processing workload generated due to false reporting is effectively reduced.

The invention discloses medicinal liquor for treating rheumatic arthritis and chronic infectious arthritis, which comprises the following raw materials in parts by weight: 33-38 parts of Chinese parsnip root, 8-13 parts of asarum, 28-33 parts of the root of bidentate achyranthes, 28-33 parts of ligusticum sinense oliver, 28-33 parts of notopterygium root, 28-33 parts of radix angelicae pubescentis, 23-28 parts of prepared monkshood, 28-33 parts of cassia twig, 28-33 parts of pawpaw, 28-33 parts of radix clematidis, 28-33 parts of cortex acanthopanacis, 28-33 parts of semen coicis, 28-33 parts of corydalis tuber, 28-33 parts of large-leaved gentian, 4-9 parts of long-noded pit viper, 28-33 parts of the root of fangji, 28-33 parts of rhizoma typhonii, 28-33 parts of ligusticum wallichii, 28-33 parts of zaocys dhumnade, and 7000-8000 parts of 50-60-degree white wine. The medicinal liquor disclosed by the invention has the advantages of being low in cost, high in curative rate and free from toxic and side effects; stimulation of the existing medicines on gastric mucosa is overcome; simultaneously, the medicinal liquor disclosed by the invention also has the functions of tonifying liver and kidney.

The invention discloses a wind power predication value pre-evaluation method based on wind power longitudinal time probability distribution. The method specifically comprises the following steps of: (1) fitting to obtain a longitudinal time probability distribution piecewise function according to a force output value of a wind power plant and probability distribution result of the force output value at the same time each day; (2) predicating the wind power through an autoregressive integrated-moving average model (ARMA) in a time sequence model, thus acquiring a predication value; and (3) pre-evaluating the wind power predication value: determining the appearing probability of the predication value according to the longitudinal time probability distribution piecewise function, or determining the reliability of the predication value by setting different confidence levels, in order to pre-evaluate the predication value before the real value appears; and a dispatching department can reasonably judge and accept or reject the predication value according to the appearing probability of the predication value and the reliability of the predication value.

The invention discloses a bottom water plugging agent system and process for a horizontal well. The bottom water plugging agent system for the conventional horizontal well is characterized by comprising an inorganic precipitation type system and a polysilicon system or polymer gel system.The bottom water plugging agent system for the thermal-recovery horizontal well is characterized by comprising an inorganic precipitation type system and a N2 foam system or temperature-sensitive gel system. The bottom water plugging agent process for the horizontal well comprise the following steps: (1) injecting an annular chemical plugging device by using a mechanical packer plugging device on the basis of clarifying a water outlet point so as to ensure the selectivity of the injection; (2) selecting the bottom water plugging agent system according to the temperature, the heterogeneity and other parameters of the oil reservoir at the horizontal well; and (3) injecting the bottom water plugging agent system. The bottom water plugging agent system is selected reasonably and combined properly. The technology of the bottom water plugging agent process can be applied to the horizontal well with high or ultrahigh water content to achieve the purpose of deeply plugging more than 90% of bottom water at high strength, so that the water content of the horizontal well is reduced effectively, and the productivity of the oil well is improved.

An embodiment of the invention discloses a WLAN air interface quality monitoring method and a device. The WLAN air interface quality monitoring method comprises the steps of obtaining background noise of a current working channel of an AP, the communication quality of the AP, the interference signal strength of other AP to the AP and the interference service amount of other AP communicated with a WLAN terminal to the AP; respectively allocating different weights for obtained parameters and uniformly converting the weights into dimensionless interference levels; adding data of converted interference levels together to obtain the interference level of the current working channel of the AP, and confirming whether the current working channel of the AP is required to be switched or not according to the interference level of the current working channel of the AP. By adopting the WLAN air interface quality monitoring method and the device, the interference magnitude in a WLAN system air interface environment can be accurately and comprehensively, and a WLAN system can conveniently and reasonably select the working channel.

A method for establishing a synchronization or for establishing a connection between a mobile terminal 1 and a base station 2 and/or an access point 3 in a wireless communication system 4, whereby the mobile terminal carries out the steps of measuring the location 5 of the mobile terminal; identifying a base station and/or an access point by comparing said location with data stored in the mobile terminal, said data comprising information on the positions 6, 7 of the base stations and/or access points, and parameters associated with these base stations and/or access points, the parameters being usable by a mobile terminal for establishing a synchronization (for receiving broadcast information and for measuring) or for establishing a connection to at least on of these base stations and/or access points; establishing a synchronization or establishing a connection to the identified base station and/or access point with the help of said parameters.

The invention relates to a waste processing method, in particular to relate to a recycling method for cleaning and processing kitchen waste and comprising the following steps: sorting, separating and recovering grease, performing secondary hydrolysis on materials after grease separation and recovery, further fermenting hydrolysis liquid and preparing solid residue obtained by sorting, hydrolysis and fermentation into feed. The invention has the following beneficial effects: economic and reasonable technologies suitable for industrialized application are adopted, thus greatly lowering processing cost; regenerative recycled products can be prepared with wide application and high additional value; and the production process is clean and environment-friendly, closed cycle of materials can be realized, secondary pollutants are prevented, and the recycled products have wide application, low operation cost and high economic benefit.

The invention discloses a benzaldehyde scavenger, which is composed of citric acid, zinc oxide, silicon dioxide, an industrial antibacterial agent, titanium dioxide, deionized water, a plant extracting solution, a surfactant, halite, red halloysite and alum. According to the benzaldehyde scavenger disclosed by the invention, the raw materials are high in degree of safety and non-toxic, are not added with toxic ingredients, and do not contain industrial product ingredients, so that high safety can be ensured, harmful gas such as formaldehyde and benzene can be directly removed without lighting, and the benzaldehyde scavenger is safe, reliable, non-toxic, harmless, free of secondary pollution and really environment-friendly.

The invention provides an emergency rescue vehicle driving optimization method driven by an intelligent Internet of Vehicles, and the method comprises the steps: 1, an optimal driving path of an emergency rescue vehicle is selected, the full consideration is carried out, the length of a road, the average passing time and the driving speed of the emergency rescue vehicle are weighed, and the weightis calculated; secondly, the driving path of the emergency rescue vehicle is optimized and perfected; when the emergency rescue vehicle runs to a traffic intersection, a motor vehicle signal lamp passing priority guarantee scheme is implemented for the emergency rescue vehicle, smooth passing of the emergency rescue vehicle at the traffic intersection is guaranteed, meanwhile, in the running process of the emergency rescue vehicle, other vehicles can take corresponding avoiding measures, the influence on the emergency rescue vehicle is reduced, and the road passing priority of the emergency rescue vehicle is guaranteed. According to the invention, the smooth driving of the emergency rescue vehicle is ensured, the delay caused by traffic jam is avoided, the time for the emergency rescue vehicle to arrive at a rescue site is reduced, and various losses caused by untimely rescue can be greatly reduced.

A kuralon fiber finely woven fabric is characterized by comprising the following components by weight percent: 70-80% of wool or wool and other fibers and 20-30% of kuralon fiber; and the preparation method comprises the following steps: 1) selecting raw materials; 2) recombing; 3) spinning; 4) weaving; and 5) dyeing and finishing. The kuralon fiber finely woven fabric produced by the method of the invention has bulky and soft hand feeling and the hollowness is up to 20-30%. The selection of kuralon is reasonable, the mixing method ensures that the kuralon fiber finely woven fabric can be smoothly spun, the spinnability is good, the fiber is easy to draw, the evenness is good, the fault is less, the weaving efficiency is high, and the characteristics that the fabric is hollow and the hand feeling is bulky and soft, of the kuralon fiber finely woven fabric can be better embodied after finishing.

The invention belongs to the technical field of radiofrequency identification, and particularly relates to a method for selection frame length during time slot-based random frequency identification procedure. The method includes initiating a reader/writer; allowing the reader/writer to receive data returned from a tag, adding 1 to space time slot number c0 if the data is not received; and if the data is received, judging generation of collision; adding 1 to impact time slot number ck if having collision; and if no collision generation, running a successful identification process and adding 1 to the successful time slot number c1; the reader/writher judges whether a counter is equal to 2Q once completing one data identification process; and repeating the processes until all data in the frame is identified. Number n of an unidentified tag is estimated according to c0, c1 and ck, a new Q value is calculated according to the n and a time slot difference factor a, then a new identification process is performed until all tags are identified. By reasonably setting time slot difference factor, the invention enables the reader/writer to select reasonable frame length for the next frame to reduce tag collision generation and improve identification speed of the tag.

The invention provides a manufacturing method of a graphite material. The manufacturing method is characterized by comprising the following steps: preparing raw materials such as M-class Mizushima needle coke and an adhesive which is intermediate-temperate coal tar pitch; blending the materials in percentage by weight: 80% of the M-class Mizushima needle coke and 20% of the intermediate-temperatecoal tar pitch, wherein the purity of ball milled powder of the M-class Mizushima needle coke is 70-80%, and composition of granularity of ingredients of the M-class Mizushima needle coke is as follows: 37-43% of the granularity of less than 0.075mm, 17-23% of the granularity of 0.075-0.5mm, 37-43% of the granularity of 0.5-1mm and less than 4% of the granularity of 1-2mm; kneading; press-forming; crushing; homogenizing and isostatically pressing paste powder; primary roasting; roasting after impregnation; and graphitizing to finally obtain the finished product. The manufacturing method provided by the invention is reasonable in raw material selection and is scientific in technological process; and the graphite material obtained by the manufacturing method has the advantages of high volume density, high mechanical strength and strong thermal shock resistance, thus being suitable for being used in case of high temperature and sudden temperature change.

The invention provides a processing method of polyester knitted fabric and belongs to the technical field of textile apparel fabrics. The processing method of polyester knitted fabric includes following steps that preparing raw materials, choosing 167 Dtex / 288 F dacron draw textured yarn (DTY) as raw materials of surface silk, choosing 80 Dtex-100 Dtex dacron DTY as raw materials of bottom silk, weaving the raw materials by single machine to get greige cloth, slitting fabric, shearing and controlling hair height, heat setting and controlling heat setting temperature and speed of cloth, hemming, pre-processing, dyeing or printing and soft handling on rolling type flexible machine with softener, and rear-finishing to get polyester knitted fabric. The processing method of polyester knitted fabric has the advantages that hand feel is soft, sense of particle is strong, warmth retention property is good, and size of particles is uniform; inside and outside air is isolated and thus heat loss is prevented; due to the fact that the processing method does not include a sueding surface formed by napping, wool falling phenomenon in wear and repeated washing caused by the sueding surface which is formed by fiber snapped by ruleless external mechanical forces is prevented, and pilling or base appearance can not happen; and processing steps are concise.

The invention provides a preparation method of an iron runner castable containing graphene oxide, comprising the following steps: step 1: premixing materials, and mixing raw materials and auxiliary materials evenly, wherein the raw materials contain dense corundum, white corundum, carborundum, alpha-Al2O3 micropowder, silicon dioxide micropowder, aluminate cement, ball pitch and monatomic silicon powder, and the auxiliary materials comprise a water reducer and explosion-proof fiber; step 2, adding graphene oxide solution and an antioxidant for the graphene oxide. By applying the technical scheme, the preparation method has the following effects: (1) preparation steps are simplified, and are suitable for industrial production; (2) the added graphene oxide can reduce the usage amount of common carbonaceous materials such as the ball pitch, and the production of poisonous and carcinogenic gas can be reduced when the iron runner castable is used in a high temperature environment; (3) the content of carbon in the castable can be effectively increased by the addition of the graphene oxide, the additive quantity of water and the porosity of the iron runner castable can be reduced, and the structural strength, thermal shock resistance and corrosion resistance of the iron runner castable are enhanced.

The invention provides a cutting line solidified with mixed grinding materials of diamond and cubic boron nitride and a method for manufacturing the cutting line. The cutting line comprises a metal steel wire solidified with grinding materials. The cutting line is characterized in that the grinding materials are the mixed grinding materials of diamond and cubic boron nitride, the mixed grinding materials of diamond and cubic boron nitride are solidified onto the metal steel line by means of electronickelling, the particle diameter of the grinding materials ranges from 5mum to 75mum, and the diameter of the diamond is not larger than 1.5mm. The method for manufacturing the cutting line includes removing oil and rust of the metal steel wire; solidifying the mixed grinding materials of diamond and cubic boron nitride onto the metal steel line by means of electronickelling; and forming the cutting line. A diamond grinding material is combined with a cubic boron nitride grinding material, the diamond and the cubic boron nitride are used for cutting alternately when the cutting line is used for cutting hard and brittle materials, and cutting capacity and cutting efficiency of the cutting line are improved. In addition, the cutting line can be more effectively applied to cutting off crystal silicon, slicing the crystal silicon and slicing sapphire by means of regulating the proportion of the diamond and the cubic boron nitride.