79results about How to "Strong application value" patented technology

The invention provides a flow monitoring method and device for a 3D printing extruder, and relates to the technical field of additive manufacturing, and the method comprises the steps that material flow data are collected in real time through a multi-dimensional sensor array installed in the 3D printing extruder; transmitting the collected real-time flow data to a control system, and judging whether the material flow is within a preset range or not; according to the deviation between the flow data monitored in real time and the target flow, working parameters of the extruder are automatically adjusted, and adjustment is conducted through a closed-loop feedback control system till the flow is stable; and in the extrusion process, if flow data monitored in real time exceeds a normal working range, an abnormal alarm is triggered, and a corresponding fault processing program is started. The material flow can be accurately monitored in real time, and the working parameters of the extruder can be automatically adjusted according to the monitoring result, so that the stable supply of the material and the quality of the printing process are ensured.

The invention discloses a vehicle visual relay tracking method based on spatial-temporal feature fusion, and belongs to the technical field of intelligent traffic. After a multi-target tracking trajectory of each camera on a road is obtained, the method comprises the following steps: establishing a camera space-time constraint based on a topological relation between the cameras and the road, performing trajectory compatibility judgment based on the camera space-time constraint, and filtering out incompatible trajectory pairs; modeling the trajectory of the target vehicle into a graph, and calculating the similarity of compatible trajectory pairs based on a graph convolutional neural network; based on the trajectory similarity, the multi-camera trajectory association problem is decomposed, hierarchical clustering is performed on the trajectory by using a heap data structure, and the global association trajectory of each target vehicle is obtained step by step. According to the method, the efficiency and accuracy of track association are improved, the calculation efficiency is optimized, and vehicle tracking in a complex scene and under multiple cameras can be dealt with.

The invention discloses a quantitative characterization method for the roughness degree of a high-speed remote landslide motion path, and belongs to the technical field of geological disasters, and the method comprises the steps: firstly obtaining remote sensing image data of a target landslide, DEM digital elevation data of the target landslide and landslide boundary data of the target landslide, and obtaining elevation data of the motion path of the target landslide through processing; carrying out detrending to obtain elevation data of the landslide motion path microtopography; and according to the elevation data of the landslide motion path microtopography, performing calculation based on a joint contour line fractal dimension calculation method to obtain the fractal dimension of the target landslide motion path after detrending, and performing calculation to obtain the path roughness coefficient of the target landslide. According to the method, the calculation process is simple, the application range is wide, the roughness degree of the high-speed remote landslide motion path can be quantified under different spatial scales, the influence of the microtopography in the landslide motion process is fully revealed, and more comprehensive roughness characterization is provided.

The invention relates to the technical field of biology, and particularly discloses a method for removing lactulose-based isomers in an oligosaccharide separation and purification process. The method comprises the following steps: taking oligosaccharide fermentation liquor for producing oligosaccharide through fermentation by using lactose as a substrate, sequentially carrying out thallus removal, decoloration, electrodialysis desalination, ion exchange resin desalination, concentration, sequential simulated moving bed chromatographic purification, ultrafiltration, re-concentration and spray drying, and detecting the oligosaccharide and the lactulose-based isomer in the oligosaccharide. According to the method disclosed by the invention, the content of lactulose-based isomers in the separation and purification process is greatly reduced, so that the product purity is effectively improved; the method can be applied to the synthesis process of other milk oligosaccharides such as fucose lactose (FL), lactose-N-tetraose (LNT), lactose-N-neotetraose (LNnT), lactose-N-fucopentasaccharide (LNPFI) and the like or other carbohydrates containing a lactosyl group, has a very high application value, and accords with laws and regulations.

The invention discloses a vehicle motion trail prediction method and system, and belongs to the technical field of surface mine unmanned driving. The method comprises the following steps: preprocessing vehicle motion trail data collected in real time, inputting the preprocessed vehicle motion trail data into a pre-trained machine learning model, and predicting to obtain a motion trail of a vehicle at a future moment; determining the grade of the collision risk according to the predicted motion track of the vehicle at the future moment, and providing an early warning signal according to the grade of the collision risk; the method is suitable for mining vehicles, and can solve the problems of low prediction precision and slow response speed.

The invention relates to a method for assisting ground user communication by a multi-antenna unmanned aerial vehicle, belongs to the field of unmanned aerial vehicle assisted communication, and solves the limitation of a single-antenna unmanned aerial vehicle in the aspects of signal concentration and directional transmission. Comprising the following steps: constructing a multi-antenna unmanned aerial vehicle assisted multi-ground user communication system, and calculating a steering vector from an unmanned aerial vehicle to each ground user; calculating a channel gain from the unmanned aerial vehicle to each ground user based on the steering vector; calculating a communication rate between the unmanned aerial vehicle and each ground user based on the channel gain; constructing an unmanned aerial vehicle assisted ground user communication optimization model which takes maximization of the average communication rate between the unmanned aerial vehicle and multiple ground users as an optimization objective function and meets user scheduling constraints, unmanned aerial vehicle communication performance constraints, unmanned aerial vehicle transmitting power constraints and unmanned aerial vehicle flight trajectory constraints; and solving the unmanned aerial vehicle assisted ground user communication optimization model to obtain an optimal communication solution of the unmanned aerial vehicle and the multiple ground users. And the signal can accurately reach the ground user.

According to the sighting telescope for detecting the unmanned aerial vehicle and the control method of the sighting telescope, a view field area is scanned mainly through active narrow-band near-infrared laser, remote detection and discovery of peeping photoelectric equipment of the unmanned aerial vehicle can be achieved, and the sighting telescope is small in system size and low in cost. According to the main technical scheme, the sighting telescope of the detection unmanned aerial vehicle is characterized in that a laser emitting module is used for emitting detection laser; the imaging assembly is used for acquiring image information; the main control module is connected with the laser emitting module, the imaging assembly and the display module, the main control module is used for controlling the laser emitting module to emit laser and extracting unmanned aerial vehicle information according to the image information, and the display module is used for displaying according to the image information and the unmanned aerial vehicle information. The invention is mainly used for laser detection.

The invention provides a recombinant Aspergillus niger strain with high yield of trans-aconitic acid, and belongs to the technical field of gene engineering. The recombinant aspergillus niger strain can simultaneously express aconitase and aconitic acid isomerase. According to the genetic engineering aspergillus niger strain provided by the invention, the trans-aconitic acid fermentation yield is generally higher than that of an original strain, and the strain with the highest yield can reach 51g / L on a shake flask level, so that the genetic engineering aspergillus niger strain has very high application value.

The invention discloses a scenic spot intelligent management and control system and method based on Internet of Things and big data analysis, and particularly relates to the technical field of scenic spot intelligent management and control. The real-time performance of data transmission between devices in a scenic spot is predicted and modeled through a big data analysis algorithm, the data transmission rate between the devices is adjusted according to a prediction result, and meanwhile, the working state of the devices is dynamically scheduled in combination with an energy management system, the energy efficiency of the devices is optimized, and tourist flow data is recollected. The flow fluctuation is analyzed by using a machine learning algorithm, so that accurate personnel dispersion and resource scheduling optimization decision are realized, the problems of insufficient network bandwidth, data transmission delay and packet loss in a scenic spot are effectively solved, the real-time performance and accuracy of data transmission are improved, and especially in a remote area, the real-time performance of the scenic spot is improved. The intelligent management and control system of the scenic area can reflect dynamic conditions in real time, and the management efficiency and tourist experience are improved.

The invention discloses a road surface disaster detection method and system, electronic equipment and a storage medium, and relates to the technical field of intelligent traffic management and computer vision, and the method comprises the steps: collecting image data containing a plurality of road surface disaster types, carrying out the data marking in each image data, and carrying out the data marking; a data sample is constructed through each piece of image data subjected to data annotation; training the improved YOLOv10 model by using the data sample until a loss function of the improved model reaches a preset end condition, and determining the improved model of which the loss function reaches the preset end condition as a disaster detection model; acquiring a to-be-detected image of a to-be-detected road surface, and inputting the to-be-detected image into the disaster detection model for processing to obtain a disaster detection result of the to-be-detected road surface, the disaster detection result including a disaster type and a disaster position; by combining the deep learning technology and optimization algorithm design, the problem that the existing method is insufficient in detection precision, robustness and applicability is solved.

The invention belongs to the technical field of highway engineering materials, and discloses a comprehensive evaluation system and method for the performance of a crack pouring adhesive of an asphalt pavement in a seasonal frozen region. Through short-term and long-term aging tests, evaluation indexes such as a penetration ratio, a compression elastic recovery rate and low-temperature stretching are added, and an entropy weight-TOPSIS combination method is adopted, so that the performance of the crack pouring adhesive of the asphalt pavement in the seasonal frozen region is comprehensively evaluated. And constructing an index evaluation model suitable for the working performance of the asphalt pavement crack pouring adhesive in the seasonal frozen region. The test result shows that the control standards of the penetration ratio and the compression elasticity recovery rate after short-term aging are respectively 90% and 30%, and the control standards of the penetration ratio and the compression elasticity recovery rate after long-term aging are respectively 50% and 20%. By adopting the entropy weight-TOPSIS method, whether the sample is qualified or not can be judged, and the advantages and disadvantages of the sample can be comprehensively judged according to the evaluation result of each index. Research results are helpful for improving the application effect and durability evaluation level of the crack pouring material, and supplement and reference data are provided for performance evaluation and standard revision of the crack pouring adhesive in the cold region.

The invention discloses a PET plastic degrading enzyme LCC mutant as well as a protein crystal and application thereof, and relates to the technical field of biology, the LCC mutant is obtained by modification on the basis of a wild PET plastic degrading enzyme LCC, and the amino acid sequence of the LCC mutant is shown as SEQ ID NO.1. Compared with a wild type LCC, the LCC mutant has higher thermal stability, the Tm value of the LCC mutant is 91.30 DEG C, the protein Tm value of the wild type LCC is 86.76 DEG C and is increased by 4.54 DEG C compared with that of the wild type LCC, good activity is still kept, and the yield of the mutant LCC-M4 is 2 times higher than that of the wild type LCC. In addition, the invention further provides a protein crystal and a structure of the LCC mutant, and a research basis is provided for further modifying the PET plastic degrading enzyme LCC with high activity and high stability.

The invention discloses a deflection test device and method. The deflection test device comprises a side rod pushing system, a pre-tensioning system, a measuring system and a control system, according to the invention, the driving shaft is lifted to lengthen the sample, and preload is applied to the sample, so that the stretching of the tire internal pressure on the material can be simulated, and the actual stress state of the tire material can be reflected; the deflection degree of the sample deflection test can be adjusted by adjusting the displacement of the reciprocating motion of the side rod; according to the invention, by changing the head shape and width of the side rod head, different deflection shapes and non-uniform deformation of the test can be formed, and the real deformation condition of a tire grounding area can be simulated. According to the device, the deflection degree of a sample deflection test can be adjusted, different deflection shapes and non-uniform deformation of the test can be formed, the real deformation condition of a tire grounding area can be simulated, and a test basis is provided for measuring the deflection resistance of materials and structures.

The invention relates to the technical field of smart power grids, and discloses a regional electric vehicle charging pricing method and device. By analyzing an information interaction mechanism between an agent and an electric vehicle user and a dynamic feedback mechanism under an incompletely symmetrical information condition, a dynamic game structure which takes the agent as a dominant and makes a user follow a response is constructed, and a dynamic relation between a charging behavior of the electric vehicle user and an agent pricing strategy is clarified. And based on a dynamic game structure, constructing a regional electric vehicle charging pricing optimization model, and by taking user cost minimization and agent income maximization as targets, performing game solving by using the regional electric vehicle charging pricing optimization model to obtain an optimal pricing strategy and an optimal charging strategy. The method effectively improves the pricing flexibility of the agent and the charging cost optimization of the user, can achieve the reasonable distribution of charging resources and the optimization management of the operation of a power grid, has a good application value, and can be used for the operation and management of an actual charging network.

The invention discloses a scale and structure consistency image generation method fusing three-dimensional geometric prior, and belongs to the technical field of computer vision and image generation. The method comprises the following steps: acquiring a scene image and depth information corresponding to the scene image, reconstructing a scene point cloud containing pixel space coordinates and color information, acquiring a colored point cloud of an object to be inserted, placing the colored point cloud at a specified position of the scene through rigid body transformation, and unifying a coordinate system with the scene point cloud; projecting the transformed object point cloud to an image plane through a camera model, determining a visible point according to the depth, and constructing an insertion region mask to remove pixels of a region corresponding to a scene; then constructing a multi-channel geometric structure priori graph containing color, depth and other information, and splicing the multi-channel geometric structure priori graph with the cleared scene image to form a diffusion type generation model input; and finally, generating an image under geometric prior guidance, ensuring that the inserted object is consistent with the original scene in the aspects of position, scale, perspective and the like, solving the problem of insufficient geometric consistency of the existing method, and realizing image content insertion with an accurate structure and real vision.

The invention relates to a converter station valve hall water leakage monitoring method and system based on photon counters, and the method comprises the following steps: setting a line laser and a plurality of photon counters in a to-be-detected water leakage region, and illuminating the to-be-detected water leakage region of a converter station valve hall through the line laser; the photon number collected by the photon counter is sliced according to the form of time sequence data, and photon number time sequence data slices are obtained; the photon number time sequence data slices collected by each photon counter are analyzed respectively, and a water leakage monitoring judgment result of a single photon counter is obtained; and obtaining a water leakage monitoring judgment result of the to-be-detected water leakage area based on the water leakage monitoring judgment result of the single photon counter. Compared with the prior art, the method has the advantages of expanding the monitoring data dimension, improving the monitoring and judging speed and the like.

The invention provides recombinant aspergillus niger capable of producing trans-aconitic acid at high yield as well as a construction method and application of the recombinant aspergillus niger, and relates to the technical field of genetic engineering. Specifically, the recombinant aspergillus niger is used for heterologous expression of aconitic acid isomerase TbrA and / or Adi1. A new engineering strain is provided for efficient production of trans-aconitic acid, the source dilemma that plant extraction or chemical synthesis is needed in traditional production of trans-aconitic acid is solved, and the yield of trans-aconitic acid is greatly increased.

The present invention discloses a real-time drilling parameter optimization method and system based on extreme value optimization, including obtaining logging engineering parameters under real-time working conditions, obtaining a rock breaking strength baseline under the optimal drilling state of the target well, constructing a rock breaking energy model under a composite working condition taking into account the output loss of the screw, calculating the virtual rock breaking strength, and determining the rock breaking efficiency and abnormal working conditions downhole in real time, and assisting in finding the unstable drilling parameter threshold under the composite drilling condition. Taking the rock breaking strength baseline as the adjustment target for minimizing the virtual rock breaking strength, comprehensively considering the above-mentioned unstable drilling parameter thresholds, a multivariable extreme value optimization algorithm is used to adjust the parameter combination, and finally obtain the recommended drilling parameter combination under the minimum virtual rock breaking strength. The present invention realizes the recommendation and optimization of the best drilling parameters based on the real-time virtual rock breaking strength calculation and optimization under the composite drilling condition, which can effectively avoid the blind spots of empirical drilling data and realize the optimization of drilling parameters throughout the process.

An ultra-wideband end-fire antenna with a common aperture embedded in a metal carrier includes a metal cavity with a coaxial cable compartment on one side. A radiator module is connected to the bottom of the metal cavity via a radiator fixing slot. The radiator module includes a common aperture antenna substrate. A low-frequency radiator is printed on the side of the common aperture antenna substrate closer to the coaxial cable compartment, and a high-frequency radiator is printed on the side farther from the coaxial cable compartment. This invention utilizes a dual-band antenna in a common aperture design to enhance the channel capacity and anti-fading capability of the communication system. At the same time, by achieving the antenna's carrier conformal characteristics, high isolation, and miniaturization, it enriches the antenna's application scenarios and improves the overall performance of the communication system.

The present invention discloses a hydrophilic-hydrophobic patterned substrate circulation microchannel reactor and a preparation method thereof, wherein the reactor comprises a first region and a microchannel region arranged side by side, wherein the first region and the microchannel region are connected; the first region comprises a first hydrophilic region and a hydrophobic region arranged in sequence; along the flow direction of the liquid, the size of the first hydrophilic region gradually decreases; the microchannel region comprises a microwall and a fluid channel region arranged in sequence, wherein the first hydrophilic region and the hydrophobic region are both connected to the fluid channel region; a nanocatalyst layer and / or a biological enzyme are also provided on the surface of the fluid channel region; when the liquid circulates in the first region and the microchannel region, it is in a circulation shape. The technology of the present invention is simple and fast, flexible and easy to use, and is suitable for a variety of catalytic reactions and reactors of various forms, and is convenient for large-scale production. The miniaturization and high efficiency of the catalytic reaction make it have strong application value in the safe chemical industry, green chemical industry, and efficient chemical industry.

This invention discloses a method for controllable preparation of nanoparticles using a multi-channel microreactor. The method utilizes a microchannel reactor to segment droplets and prepare quantitatively synthesized nanoparticles with controllable particle size. The invention employs capillary action to draw the reaction solution into the microchannel, segmenting one or more droplets (each droplet into 10-100 portions). By changing the width of the microchannel, controllable preparation of nanoparticles within a small range (±3 nm) can be achieved; by changing the length of the microchannel, controllable preparation of nanoparticles within a large range (±10-30 nm) can be achieved. Furthermore, the reactor structure of this invention is simple, enabling highly precise and quantitative synthesis of various nanoparticles. Compared to large-scale reactors, the miniaturization of the synthesis reaction in this invention effectively reduces energy waste and safety hazards, making it highly valuable for applications in safe chemical engineering, green chemical engineering, high-efficiency chemical engineering, microchemical engineering, and precise reaction monitoring.

The invention belongs to the technical field of wireless communication, and particularly relates to a multi-user symbiotic wireless communication channel estimation and signal detection method. According to the designed transmission frame structure, the main system sending symbol is recovered by estimating the combined channel containing the reflection device sending symbol, and then the multiplicative relationship between the main system sending symbol and the reflection device sending symbol is decoupled, so that the error rate performance of main system transmission and reflection device transmission is improved. The scheme provided by the invention is simple to implement and has very high application value.

Belonging to the field of analytical instruments and detection, the invention relates to an active inhalation type drug on-site rapid detector, which comprises a sampling system, an ion gate, a metal electrode ring, a fixing rod, a detector and the like. The sampling system comprises an air pump, an air suction pipeline, a heating wire and a conveying pipeline. The device adopts a design mode of combining active suction of carrier gas and heating, has a series of characteristics of active suction of a to-be-detected sample, short sampling interval, rapid analysis and the like, and effectively overcomes the inherent defect of low detection speed of a wiping sample introduction mode, so that the target of rapid field detection of drugs is achieved. The active inhalation type on-site rapid drug detector disclosed by the invention has extremely high application value and wide application prospect in the fields of on-site detection of prohibited drugs and the like.

The present invention discloses a flood similarity prediction method based on a knowledge graph of rainstorms and floods, comprising the following steps: step 1, establishing a knowledge graph of rainstorms and floods in the study area; step 2, establishing a rainstorm and flood characteristic index system; step 3, constructing a rainstorm and flood scenario library based on a distributed model; step 4, performing similarity discrimination of rainstorm and flood weighting classification; step 5, real-time flood rolling correction and extrapolation prediction. The method described in the present invention completes the real-time flood key scenario retrieval and reasoning based on the knowledge graph of rainstorms and floods, realizes the intelligent forecasting of rainstorms and floods, improves the accuracy of flood forecasting, promotes the development of flood process prediction technology based on historical rainstorm and flood knowledge, and can also promote the automation and intelligent processing of water conservancy data, thereby promoting the modernization and precision of water conservancy in the water conservancy industry, and has strong application value.

The application discloses a verifiable privacy protection convolutional neural network system, which uses a given trained convolutional neural network on private data, characterized in that a private verifiable scheme or a public verifiable scheme is adopted. The application provides a verifiable privacy protection convolutional neural network system, which realizes data privacy and verifiability at the same time. The system provides two schemes to meet the needs of different application scenarios, both of which realize data privacy and verifiability. The difference lies in that one is a private verifiable scheme with faster verification speed but needing a private key in the verification process, and the other is a public verifiable scheme with slower verification speed but not needing a private key in the verification process. The system disclosed by the application has strong application value.

The invention discloses a QPSO-SVM-based potential fault on-line diagnosis method for an intelligent release power supply circuit, and the method comprises the steps: firstly carrying out the fault mode and impact analysis of the power supply circuit through combining with the working principle of the power supply circuit, determining the object of fault diagnosis, and setting the fault type of the power supply circuit; then, on the basis of charging and discharging characteristics of an energy storage capacitor of a power supply circuit and characteristics of a control loop, utilizing a Monte Carlo simulation experiment to extract a group of characteristic parameters capable of reflecting a circuit fault under non-constant excitation, and adopting a support vector machine recursive characteristic elimination method to carry out importance ranking on high-dimensional fault characteristics; and screening according to a sorting result to obtain an optimal fault feature set. And the parameters of the SVM model are optimized through the QPSO, so that the accuracy of fault diagnosis of the power supply circuit is improved. On the premise that a constant excitation signal is not applied and the circuit structure is not changed, on-line diagnosis of potential faults of the intelligent release power supply circuit is achieved, and the method has high engineering application value.

The invention discloses a method and a device for measuring the grounding of a multi-down conductor grounded transmission tower without wire removal. The method comprises: firstly, selecting a No. 1 down conductor to set a voltage excitation clamp and a current measuring clamp, and setting a current measuring clamp on the other down conductors; measuring and comparing the current response amplitudes in the other down conductor branches, recording the maximum value and the corresponding down conductor branch number k; then, applying a frequency f to the No. 1 down conductor through the voltage excitation clamp l The voltage excitation is adjusted to make the current amplitude and phase of the No. k down conductor branch consistent with the high-frequency state; the branch resistance of each down conductor and the resistance and inductance of the grounding and lightning arrester loop can be calculated. The present invention can measure the resistance of each down conductor branch and the resistance and inductance of the grounding and lightning arrester loop without removing the wires. If there is a connection problem in the down conductor or grounding body of the transmission tower, it can also be located, which is of great significance for further improving the grounding reliability and ensuring the safety of power transmission.

The invention relates to the field of special films, in particular to a polypropylene-based ultrathin special film and a preparation method thereof. The film is prepared from the following components in parts by weight: 80 to 90 parts of isotactic polypropylene resin, 10 to 20 parts of syndiotactic polypropylene resin, 5 to 10 parts of a composite modifier, 5 to 10 parts of a compatilizer, 3 to 8 parts of amino modified nano silicon dioxide, 0.1 to 0.5 part of an antioxidant, 0.3 to 0.7 part of a lubricant, 0.1 to 0.3 part of an anti-hydrolysis agent, 0.1 to 0.3 part of a nucleating agent and 0.05 to 0.3 part of a light stabilizer. The special film prepared by the preparation method disclosed by the invention can still keep excellent mechanical bearing capacity under the ultrathin specification with the thickness of less than or equal to 20 microns, and the mechanical property, the flame retardant property, the weather resistance, the processability and the interfacial compatibility are synergistically improved.

The invention belongs to the technical field of chemical detection, and particularly relates to a fluorescent probe for detecting nitrosamine as well as a preparation method and application of the fluorescent probe. The detection method comprises the following steps: by taking a fluorescent probe P1 as a fluorescent detection reagent, carrying out reductive coupling reaction on the probe P1 in a DMSO-Tris-HCl solution system by utilizing the oxidability of nitrosamine NNK, reacting the NNK with a compound containing triaryl phosphorus to generate an intermediate containing phosphorus and nitrogen ylide, and detecting the intermediate containing phosphorus and nitrogen ylide. According to the intermediate, a new compound containing sulfinic acid amine and a fluorophore with exposed hydroxyl are generated through intramolecular acetyl conversion and hydrolysis, and strong fluorescence is released, so that specific detection of NNK is realized. The detection method shows relatively high sensitivity to nitrosamine NNK in tobacco, the lowest detection limit is as low as 1.5 * 10 <-6 > mol / L, the detection process is simple and convenient, the anti-interference capability is strong, the method is rapid and sensitive, and the detection result is accurate.

The invention discloses a cascade dam group system service risk matrix type evaluation method, which comprises the steps of collecting data information of a drainage basin where a cascade dam group system is located to construct a deep learning model, and performing dam break flood routing calculation; calculating a system failure risk rate of each unit dam, quantifying a risk transfer coefficient between adjacent unit dams, constructing a state transition probability matrix and a state transition loss matrix of the cascade dam group system, calculating a state transition risk matrix of the cascade dam group system, and obtaining a total risk rate of the system and three types of total risks of life, economy and social environment; the corresponding total loss is evaluated; and finally carrying out cascade dam group system risk rating. The method has higher calculation efficiency and precision, and can provide richer and more comprehensive calculation results; according to the system risk quantitative grading standard and method, theoretical preciseness is considered, meanwhile, higher engineering applicability and practical operability are achieved, and higher practical application value is shown.