67results about How to "Has practical application value" patented technology

The invention discloses a traffic jam prediction method for an overpass based on data drive, and the method comprises the following steps: collecting the traffic state data of entrance and exit rampsof an overpass road surface; carrying out the preprocessing of the traffic data of the exit ramp of the overpass, and obtaining the vehicle flow speed and density of a controlled road segment; constructing a macroscopic traffic flow map of the controlled road segment through three indexes (traffic flow, speed and density), and calibrating a jam speed threshold value; selecting the speed as a jam feature, extracting a historical jam speed sequence, carrying out the clustering according to the difference of jam degree and obtaining the jam type; constructing a multi-scale speed predictor according to the historical speed data; inputting a real-time speed data sequence into the multi-scale speed predictor, obtaining a predicted speed sequence, and carrying out the jam prediction through a classifier. The method can achieve the effective prediction of the traffic situation in a certain future period according to the historical traffic situation, achieves the judgment and piling of the predicted speed sequence, and achieves the effective judgment of the traffic jam degree in future.

The invention discloses a circuit topology structure suitable for bidirectional near-field power transmission, which comprises a full-bridge inverter, a primary-side resonant dynamic compensation network, a primary-side coil, a secondary-side coil, a secondary-side resonant dynamic compensation network, a full-bridge synchronous rectification and a load. The invention can realize bidirectional near-field transmission of electric energy, and at different coil coupling coefficients, at different load size and due to temperature, under the condition of system parameter change caused by manufacturing error of device, by adjusting the PWM duty cycle of the capacitor switching switch, the equivalent capacitance of the capacitor switching switch can change continuously to compensate the resonantnetwork dynamically, so as to realize the soft switching of the full-bridge inverter, to minimize the reactive power in the energy transmission of the system, and to maximize the energy transmission efficiency of the system. In addition, due to the symmetry of the circuit structure, it can realize the bidirectional transmission of near-field electric energy, that is, the bidirectional energy flowbetween the power grid and the load, which improves the utilization rate of the system in the smart grid.

The invention discloses an aeroengine residual life prediction method based on multi-stage Wiener process consistency check. In the method, a statistical smoothing method smoothes engine performance monitoring data before and after maintenance. A heuristic segmentation algorithm performs performance degradation multi-stage partitioning; according to the multi-stage and randomness of engine performance degradation process, a performance degradation model is established by using multi-stage Wiener process. The consistency of the mean values of engine performance monitoring data before and aftermaintenance is checked by using the normal population mean consistency check method based on multi-stage Wiener process. According to the consistency test results of the degradation data before and after maintenance, it is decided whether the residual life prediction of the engine after maintenance fuses the monitoring data of the engine before maintenance, and the parameters of the multi-stage Wiener process are estimated by the monitoring data, and the residual life of the engine after maintenance is predicted. The method of the invention improves the accuracy of the model parameter estimation and the engine life prediction result, and has high practical value.

The invention discloses an active drive device for a hybrid electric vehicle capable of independently controlling power output of a left wheel and a right wheel, and the active drive device comprises an engine, a generator, two epicyclic gear trains, a left drive motor and a right drive motor; a first epicyclic gear train is used for realizing the power coupling of the engine, the generator and an input component of a second epicyclic gear train; the second epicyclic gear train is used for realizing the power coupling of the left / right drive motor and an output component of the first epicyclic gear train; the output component of the first epicyclic gear train and the input component of the second epicyclic gear train are connected with each other through a spur gear pair or a bevel gear pair in a driving way; and the left / right drive motor is respectively connected with a left wheel side drive shaft and a right wheel side drive shaft in a driving way. The active drive device has the advantages of compactness in structure, multiple running modes, stepless speed changing of the engine and capability of independently controlling the power output of the left and the right wheels.

The invention discloses a residual service life prediction method for large-scale equipment based on multi-parameter feature fusion. The method comprises the steps: obtaining multiple sensor time sequence parameters of large-scale equipment in a laboratory through a large-scale online monitoring system; performing regression analysis on the multi-parameter continuous values by using a ReliefF algorithm, and obtaining a parameter type with relatively large correlation with the equipment state through feature weight screening; performing data dimension reduction and feature extraction on the screened parameters based on a principal component analysis method, and obtaining a health index representing the operation state of the large-scale equipment through weight fusion; constructing an HMM model based on an expectation maximization algorithm, taking the health indexes as a training set for model training, and finding a grading model used for evaluating the equipment health state corresponding to the current health index; calculating an exponential likelihood value through a Viterbi algorithm to obtain a health index nearest to the likelihood value, and predicting an exponential difference by using a weighted average method to obtain a health state fitting curve; and calculating a residual service life prediction value of the large-scale equipment.

The invention discloses a two-stage parameter calibration method for highway traffic safety simulation analysis. The method comprises the steps of 10) acquiring real-time traffic flow data, road design data and weather data of a highway; 20) building a real-time accident risk prediction model and a VISSIM simulation model; 30) performing first-stage parameter calibration: calibrating parameters remarkably influencing a simulated vehicle speed change; 40) performing second-stage parameter calibration: calibrating parameters remarkably influencing a simulated real-time accident risk value; and 50) if the speed and real-time accident risk of the VISSIM simulation model reach simulation precision, indicating that the calibration is finished, otherwise, calibrating excluded parameters in the two calibration steps to improve the simulation precision. According to the two-stage parameter calibration method for the VISSIM simulation model, provided by the invention, the accident risk value is further simulated on the basis of reproducing temporal and spatial variation of traffic flow, so that the VISSIM simulation can be enabled to directly evaluate a traffic accident risk.

The invention provides a method for identifying default risks of P2P network lending borrowers. The method comprises the following steps of: 1, acquiring P2P lending application data information; 2, preprocessing data to obtain lending description text information; 3, carrying out feature extraction on the lending description text information; 4, identifying a default risk of P2P network lending through combining objective basic information features of a borrower and the lending description text information by using a support vector machine classification method; and 5, carrying out SVM kernelfunction parameter optimization by adoption of ten-fold cross validation. According to the method for identifying default risks of P2P network lending borrowers, the default identification correctness is improved by 10% or more than 10% and the highest default identification correctness is 73.42%.

The invention belongs to the field of metal testing analysis technology in a metallurgical industry, and particularly relates to a method for simultaneously measuring multiple metal elements in zinc smelting acid leaching residue through inductively coupled plasma atomic emission spectroscopy, wherein measurement is performed according to the detecting principle of the inductively coupled plasma atomic emission spectroscopy. The method comprises the steps of determining an experiment condition, preparing single-element standard solution, preparing mixed standard solution, preparing series standard working solution A, preparing series standard working solution B, performing sample processing, drawing a working curve, checking coexisting element interference, checking an overlimit conditionand a precision condition, performing a recovery rate experiment and checking a stability condition. The method of the invention can simultaneously detect multiple elements in zinc smelting acid leaching residue and realizes high detecting result precision and high stability in an instrument detecting process. The method of the invention can effectively reduce pressure in enterprise detecting andresidue processing. Not only is an important meaning realized, but also high necessarity is obtained.

The invention provides a preparation method of biological feed. The method comprises the following steps of crushing stalks; mixing crushed stalks with wheat bran; adding xylanase and cellulase; then, supplanting and adding water accounting for 75 to 85 percent of the weight of the stalks; then, inoculating lactobacillus liquid and yeast liquid; obtaining the biological feed after the enzymolysis and fermentation. Through the optimized enzymolysis combination, the microbial combination anaerobic fermentation is combined; the water content is reduced to a proper degree, so that the treatment cost of per ton of stalks is reduced by about 300 Yuan; the practical application values are basically realized. The prepared biological feed uses the weight ratio of 20 percent for replacing the complete formula feed; the growth speed, differences of the feed conversion ratio and the like of live pigs are not obvious, but the grain consumption and the live pig weight increase cost are obviously reduced; the contents of pork protein, amino acid and calcium can be increased; the contents of fat and cholesterol are reduced.

The invention provides phenyl phosphonate with photocatalytic activity as well as a preparation method and application thereof, and belongs to the technical field of photocatalytic materials. The preparation method for phenyl phosphonate comprises the following steps that metal salt and phenylphosphonic acid are dissolved in an organic solvent, and a solvothermal method is adopted to prepare phenyl phosphonate. According to phenyl phosphonate as well as the preparation method and application thereof, a phenyl phosphonate photocatalytic material is synthesized by adopting the solvothermal method for the first time and is applied to photocatalytic hydrogen production and carbon dioxide reduction; and meanwhile, the raw materials are low in price, easy to obtain, environmentally-friendly, safe and pollution-free, the preparation method is simple and easy to operate, and the values of industrial production and practical application are achieved.

The invention relates to a continuous carbon fiber reinforced polypropylene high-performance electricity-conductive and heat-conductive composite material and a preparation thereof. The continuous carbon fiber reinforced polypropylene high-performance electricity-conductive and heat-conductive composite material comprises the components in parts by weight: (1) 100 parts of polypropylene, (2) 0.1-1 parts of an antioxidant, (3) 0.2-2 parts of a flow promoter, and (5) 1-5 parts of a compatilizer; after being premixed according to a certain proportion, the components are melted, mixed and extruded into a hanger-shaped mold head by a double / single-screw machine unit to be shunted; finally, the components enter an S-shaped mold head to sufficiently soak carbon fibers so as to prepare the continuous carbon fiber reinforced polypropylene high-performance electricity-conductive and heat-conductive composite material. Compared with the traditional carbon fiber reinforced PP composite material, the continuous carbon fiber reinforced polypropylene high-performance electricity-conductive and heat-conductive composite material provided by the invention has the advantages that the mechanical property of the continuous carbon fiber reinforced composite material prepared by using a special soaking process is greatly improved because the length retention rate of carbon fibers in a PP carrier is very high or the carbon fibers are continuous in the PP carrier; on the basis of a continuous network structure, the electricity-conductive and heat-conductive performances of the continuous carbon fiber reinforced composite material are also greatly improved.

The invention discloses a flame-retardant organic phase-change material and a preparation method thereof. The preparation method of the flame-retardant organic phase-change material comprises the following steps: triethoxysilyl phosphamide is well mixed with lower alcohol; the mixture is added into a mixture of carbon nano-tubes, an organic phase-change material and an organic solvent drop by drop; ammonia water is added; the mixture is well mixed by stirring; and cooling, rotary evaporation, washing, and vacuum drying are carried out, such that the flame-retardant organic phase-change material is obtained. With the method, the obtained flame-retardant organic phase-change material has the advantages of good compatibility, high flame retardant performance, high thermal conductivity coefficient and relatively long service life.

The invention relates to a high-weatherability high-flow glass fiber dipping polyolefin formula and a preparation method thereof. The high-weatherability high-flow glass fiber dipping polyolefin formula comprises the following components by mass part: 1) 100 parts of polyolefin; 2) 0.5-2 parts of an anti-ultraviolet aging auxiliary agent; 3) 0.5-2 parts of an anti-oxidant; 4) 0.2-2 parts of a flow promoter; 5) 2-10 parts of a flexibilizer; and 6) 1-5 parts of a compatilizer. The components are pre-mixed according to certain proportion, the components are fusion through a double / single screw extruder, then mixed and extruded to a die head for shunting and dipping, and the high-weatherability high-flow glass fiber dipping polyolefin can be prepared. The high-weatherability high-flow glass fiber dipping polyolefin has the advantages that a hyper branched tail end active function group and glass fiber are combined, interface combination capability between polyene resin and glass fiber are enhanced, and the mechanical properties are increased.

The invention relates to a preparation method of a water-stable triazinyl metal organic frame material, and belongs to the technical field of metal organic frame materials. The method comprises the following steps: dissolving bismuth metal salts and triazinyl organic acid in an organic solvent; and preparing by using a solvothermal method to obtain CAU-7-TATB, namely a metal organic frame materialformed by Bi and 2,4,6-tris(4-carboxy phenyl)-1,3,5-triazine. The triazinyl CAU-7-TATB synthesized by the solvothermal method has good water stability, and structural collapse and metal leakage cannot be caused even if the triazinyl CAU-7-TATB is placed in an aqueous solution for seven days; the water-stable triazinyl metal organic frame material is quite suitable for adsorbing heavy metal ions;and moreover, the CAU-7-TATB does not need to be modified later, and by N atoms on the triazinyl, an adsorption effect is played directly, and the water-stable triazinyl metal organic frame material has good adsorption effect on various heavy metal ions, and particularly has preferable and excellent selectivity on adsorption of lead ions.

The invention discloses a positioning and surrounding control method for a multi-agent system in a three-dimensional space. The positioning and surrounding control method comprises the steps of firstly building an estimator for an unknown target, and performing positioning on the unknown location of the target by being combined with plane convergence of the estimator; and then designing a distributed controller and a coordinator, building three kinds of surrounding algorithms by being combined with a circumstance of communication among multiple agents and a circumstance of no communication among the multiple agents, and realizing different types of surrounding of the agent system for the unknown target.

The invention discloses a subject term extraction method and device based on TF-IDF, equipment and a storage medium, and belongs to the field of subject term extraction. The method comprises the steps of obtaining a plurality of commodity description texts and performing word segmentation processing; obtaining a first weight of the target segmented word according to the occurrence frequency of the target segmented word in the target text and the reverse text frequency of the target segmented word; obtaining a second weight according to the part-of-speech of the target segmented word; obtaining a third weight according to the position of the target segmented word in the target text; obtaining a fourth weight according to the occurrence frequency of the target segmented word in the plurality of commodity description texts; and determining a target weight of the target segmented word according to the first weight, the second weight, the third weight and the fourth weight, and obtaining a subject word extraction result of the target text according to the target weight. The subject term recognition and extraction accuracy is improved, and the method has a certain practical application value.

The invention provides a multi-pipe connected inerter device. The multi-pipe connected inerter device includes a hydraulic cylinder tube, the interior of the hydraulic cylinder tube is provided with apiston rod which is fixedly connected with a piston, the piston divides the hydraulic cylinder tube into an upper cavity and a lower cavity, through holes which are symmetrical relative to the central axis of the piston rod are formed in the cylinder wall of the upper cavity and the cylinder wall of the lower cavity, and the through holes of the upper cavity and the lower cavity separately communicate with the two ends of an internal cavity of a communicating pipe. An anti-collision device is arranged below the hydraulic cylinder tube, a magnetic valve is installed at the positions of the through holes of the tube walls of the upper cavity, the radius r1 of the hydraulic cylinder tube is larger than the internal radius r2 of an internal cavity, and r1=(10-15)r2. According to the device, the communicating pipe and the hydraulic cylinder tube are integrated, the vibration can be absorbed more quickly, the response is quicker, and the purposes of compact structure, reducing of the spacedistribution and convenient installation and configuration are achieved.

The invention discloses a matrix protein mutated recombinant vesicular stomatitis virus serving as a porcine vaccine vector. The vaccine vector is a recombinant virus VSV (vesicular stomatitis virus) delta M51. The invention also provides a kit for detecting the specific M antibody in porcine serum. The using method of the kit comprises the following steps: establishing an ELISA method by utilizing high-purity M protein prepared by recombinant expression to detect the level of the specific M antibody in porcine serum which is inoculated with VSV delta M51 virus. The invention firstly provides the variant virus strain (VSV delta M51) of which the 51st arginine of the matrix protein of an VSV critical virulence factor serving as a candidate VSV virus strain with application values, provides a systematic evaluation to the pathogenicity of VSV delta M51 on pigs for the first time at home and abroad, and provides basis to VSV delta M51 serving as the vaccine vector.

The invention discloses a characterization method and device for unbalance degree of each turning direction of an intersection, electronic equipment and a storage medium, and belongs to the technicalfield of traffic. According to the method, indexes influencing intersection imbalance indexes are analyzed in detail, and each turning entrance lane imbalance index and each opposite entrance lane imbalance index in an intersection are determined; and a calculation formula is improved to reflect the overall unbalance state of the intersection, whether signal timing and / or phase setting of the intersection is adjusted or not is judged according to the unbalance index, the intersection can be guided to conduct signal timing optimization design, adjust the phase and the phase sequence, so the traffic operation condition of the whole intersection is improved, the traffic safety of the intersection is improved, the vehicle running efficiency is improved, and the traffic safety is guaranteed. The problems that in existing intersection traffic analysis, definition of imbalance indexes is fuzzy, division is not comprehensive enough, the imbalance degree of an intersection is difficult to accurately measure, and intersection problem analysis is difficult to go deep are solved or partially solved.

The invention belongs to the technical field of photocatalytic materials, and discloses a sodium alginate phthalocyanine photosensitizer, a photocatalytic composite material and a preparation method and application thereof. The photosensitizer is a sodium alginate-phosphorus phthalocyanine binary molecule photosensitizer formed by connecting phosphorus phthalocyanine and sodium alginate through achemical bond ester group, and the sodium alginate-phosphorus phthalocyanine binary molecule photosensitizer and polybutylene-aramid fibers interact with each other to prepare the polybutylene-aramidfiber photocatalytic composite material. The composite material provided by the invention is low in cost; a synthetic route of phosphorus phthalocyanine is simple, yield is high, and raw materials areenvironmentally friendly; and the photosensitizer and the photocatalytic material can adsorb inorganic heavy metal ions by utilizing the characteristics of sodium alginate gel while photodegrading organic pollutants.

The invention discloses a soaking solution capable of improving the germination of capsicum Chinese joaquin seeds and an application method of the soaking solution and relates to a soaking solution capable of promoting the seed germination and an application method of the soaking solution. The soaking solution is prepared by mixing a gibberellin 3 solution, a potassium nitrate solution and a polyethylene glycol 6000 solution according to a volume ratio of 1 to 1 to 1, wherein the concentration of gibberellin 3 is 0.001-3g / L; the concentration of potassium nitrate is 0.01-40g / L; the concentration of polyethylene glycol 6000 is 1-90g / L. The application method of the soaking solution comprises the following steps: washing clearly soaked seeds, storing the washed soaked seeds at the temperature of 28 DEG C and accelerating the germination. The soaking solution is capable of effectively accelerating the germination of capsicum Chinese joaquin seeds so as to increase the germination rate and the germination index, stimulating the activity of the seeds and inducing the seeds to quickly and regularly germinate; the bottleneck problems of low germination rate and irregular seedling emergence in the production are solved; the soaking solution has an important practical application value and can be widely used for seedling breeding, cultivating and producing of capsicum Chinese joaquin.

The invention discloses a DC bus voltage soft start method of a dual-active full-bridge bidirectional DC / DC converter. According to the method, an optimal internal phase shift angle alpha p_opti = (1-m) pi between the upper bridge arm driving signals of a first upper and lower complementary bridge arm and a second upper and lower complementary bridge arm is calculated, wherein m = battery voltageVbatt*transformer transformation ratio / DC bus voltage Vbus; an internal phase shift angle alpha p' of a DC / DC converter is acquired; a register dead time is converted into the phase angle alpha p1_DZof the first upper bridge arm driving signal and the phase angle alpha p3_DZ of the second upper bridge arm driving signal; according to the optimal internal phase shift angle alpha p_opti, the internal phase shift angle alpha p' and the phase angles alpha p1_DZ and alpha p3_DZ, the adjustment degrees of freedom alpha p1 and alpha p3 corresponding to the first upper bridge arm driving signal and the second upper bridge arm driving signal are respectively obtained; and according to the alpha p1 and the alpha p3, the driving signals of four switches on the low-voltage side of the DC / DC converterare given. According to the invention, the problem of overlarge starting current in the DC bus voltage soft start process of the dual-active full-bridge bidirectional DC / DC converter is solved whilethe DC bus voltage soft start is effectively realized.

The invention discloses an intersection unbalance degree analysis method and device, electronic equipment and a storage medium, and belongs to the technical field of traffic. The method comprises thefollowing steps: analyzing indexes influencing intersection imbalance indexes in detail, and determining each turning entrance lane imbalance index and each opposite entrance lane imbalance index in an intersection; and determining the weight between different imbalance indexes, improving the calculation formula of the intersection imbalance index to reflect the overall imbalance state of the intersection, judging whether to adjust the signal timing and / or phase setting of the intersection according to the relationship between the imbalance index and a preset threshold, and determining whetherto adjust the signal timing and / or phase setting of the intersection according to the relationship between the imbalance index. The method and the device are helpful for guiding the intersection to carry out signal timing optimization design, adjusting the phase and phase sequence, improving the traffic operation condition of the whole intersection, improving the vehicle operation efficiency, andguaranteeing the traffic safety.

The invention discloses an engine bearing fault prediction method based on multiple stages, relating to the field of engine health management. According to the engine bearing fault prediction method based on the multiple stages, bearing faults of an engine can be predicted in the multiple stages, and finally the purposes of reducing the maintenance cost and guaranteeing the operation safety of theengine are achieved. Prediction is carried out according to the following steps: 1) processing an original vibration signal of a bearing; 2) counting the rms characteristic curve containing a large number of data points according to a certain statistical value; 3) finding out mutation points by using statistical process analysis, and analyzing curves before and after the mutation points by usingstatistical overview; 4) dividing rms counted in the step 2) into multi-stage signals; and 5) inputting the obtained multi-stage data into a long-short-term memory network for prediction. Multi-stageprediction can be carried out on bearing faults of the engine, and the purposes of reducing maintenance cost and guaranteeing operation safety of the engine are achieved.

The invention relates to a formula of a glass fiber-impregnated PA6 (nylon 6) with high weather-resistant property and high fluidity and a preparation method thereof. The formula comprises the following components in parts by mass: 100 parts of PA6 resin (1), 0.5 to 1.6 parts of anti-ultraviolet aging additive (2), 0.5 to 1 part of antioxidant (3), 0.2 to 1.2 parts of flowing promoter (4), 2 to 10 parts of toughener (5), and 1 to 5 parts of compatilizer (6). The preparation method comprises the following steps of premixing the components according to a certain ratio; using a double / single-screw extruder to melt, mix and extrude into a die head, separating flow and impregnating, so as to obtain the glass fiber-impregnated PA6 with high weather-resistant property and high fluidity. The formula and the preparation method have the advantage that by combining hyperbranched end active functional groups and glass fiber, the interface bonding ability between polyolefin resin and glass fiber is enhanced, and the mechanical property is improved.

The invention discloses a device and a method for efficiently degrading bisphenol A by coupling illumination with an electroactive biological membrane. Compared with a single bioelectrochemical degradation method, the method has the advantages that an electrochemical biological system is coupled with illumination, so the degradation efficiency of bisphenol A is improved, and energy consumption is low. Through the coupling of illumination with the electroactive biological membrane, the efficiency of degrading bisphenol A can reach up to 97.8%, and is improved by nearly 50% compared with the degradation efficiency of a single electroactive biological membrane within the same time. The method is simple to operate, low in cost and high in bisphenol A degradation efficiency, and has practical application value.

The invention provides a traffic ticket business processing device based on multimode interaction. The traffic ticket business processing device comprises a signal acquisition module, a processing module and a guiding module; the signal acquisition module comprises a voice acquisition unit and an image acquisition unit; the processing module comprises an identification unit, an analysis unit and a plurality of preset deep learning models; the identification unit comprises a face detector and a decoder; a multi-mode signal includes voice and a user image. Multimode interaction can be carried out, background noise interference can be effectively suppressed, voice can be identified more accurately to acquire travel demands of users, ticket business processing efficiency is high, and ticket business processing is more convenient. The traffic ticket business processing system provided by the invention has corresponding advantages due to the adoption of the traffic ticket business processing device. The traffic ticket business processing method provided by the invention has little dependence on manpower, is beneficial to shortening the ticket business processing time, and improves the travel experience of a user.

The invention discloses a super-hydrophilic conductive nanofiber membrane and a method for treating emulsion by using the super-hydrophilic conductive nanofiber membrane, and relates to the field of oil-water separation. Polyacrylonitrile is dissolved in an N, N-dimethylformamide solution containing a conductive polymer and a dopant, then an electrostatic spinning method is adopted to prepare the super-hydrophilic conductive nanofiber membrane, after the membrane is pre-wetted with distilled water, oil-water emulsion is filtered under the condition of low dual-pressure driving, and compared with the condition of no electric field assistance, the super-hydrophilic conductive nanofiber membrane has the advantages that the super-hydrophilic conductive nanofiber membrane can be used for filtering oil-water emulsion; by applying the electric field, membrane pollution can be effectively relieved, flux loss in the separation process is reduced, the COD removal rate is 90% or above, the total average flux increasing proportion in the filtering period can reach 591%, and the flux is not remarkably attenuated along with time. The super-hydrophilic conductive nanofiber membrane provided by the invention can enhance the anti-pollution performance and improve the treatment flux under an electric field auxiliary condition, has good treatment flux, treatment effect and anti-pollution performance, and is convenient in material preparation, mild in operation condition and wide in applicable treatment object range.

A side slope protection connecting plate is formed by splicing three arc-shaped sections in a central symmetry state, the radiuses and radians of the arc-shaped sections are equal, the circle centers of the arc-shaped sections are located outside the side slope protection connecting plate, the arc-shaped sections are connected through connecting sections, a plurality of nail-shaped protruding hooks distributed in an arc shape are distributed on the arc-shaped sections, and at least one fixing hole is formed in each connecting section. The side slope protection connecting plate further comprises traction nails matched with the fixing holes. An ecological protection slope comprises a plurality of waste tires with the same diameter, wherein the waste tires are continuously arranged on a slope surface. The waste tires are made into the modularized environment-friendly slope protection structure for the side slope, appropriate traction is selected according to the soft and hard geological conditions of the slope body, the surfaces of various side slopes such as a soil side slope, a cement side slope and a bare rock side slope can be covered with a protection layer, plants can rapidly grow on the protection layer, therefore, the purpose of protecting and greening the side slope is achieved.

The invention discloses a load identification method based on electric power fingerprint features and a Stacking integrated learning mechanism. The method comprises the following steps: acquiring voltage and current high-frequency waveform data of various electric appliances of a user family; firstly, using various time domain and frequency domain analysis methods to calculate various electric power fingerprint steady-state characteristics of a load; secondly, screening the most representative features out through an FCBF method; and finally, constructing a load identification model fusing a plurality of machine learning methods by using a Stacking mechanism. According to the method, the idea of integrated learning is fully utilized, the advantages of various machine learning methods are effectively combined, compared with a single-model method, the model recognition precision is improved, and the method has the advantages of being high in accuracy, good in generalization performance and capable of flexibly fusing various models.