100results about How to "The parameters are simple" patented technology

The invention discloses an automobile direction intelligent control method based on a driver model. The method includes the steps of firstly, predicting a position where an automobile can reach after a moment T of a preview period according to the current running state of the automobile, comparing the position with a target position after the moment T, obtaining deviation of the two positions, obtaining the ratio of the deviation and T to serve as a predicted automobile transverse velocity, and then comparing the predicted automobile transverse velocity with an actual automobile transverse velocity to obtain a predicted automobile transverse velocity difference; secondly, obtaining a steering wheel turning angle through calculation, and controlling an automobile steering wheel according to the obtained steering wheel turning angle. The invention further discloses an automobile direction intelligent control system based on the drive model. The system comprises a preview module, a prediction module, a comparing module, a calculation module and a control module. Compared with the prior art, parameters of the driver model built in the method are directly obtained through parameters of the whole automobile, the driver module has the advantages of being simple in parameter and clear in physical meaning, and control of the automobile is more accurate and real.

The invention discloses a method for the joint optimization of MLB (Mobility Load Balancing) and MRO (Mobility Robustness Optimization) in an LTE (Long Term Evolution) network. The method comprises the followings steps: a load level is periodically detected by a cell s in the LTE network so as to judge whether the cell is overloaded; when the cell is overloaded, the load information of all neighboring cells is obtained by the cell s, the loads of the neighboring cells are respectively compared with an acceptance threshold, and whether the number n of the neighboring cells of which the loads are respectively lower than the acceptance threshold is 0 is judged, wherein n is an integer; the n neighboring cells are sequentially arranged from light load to heavy load when n is not equal to 0, the cell individual offsets (CIO) of the n neighboring cells relative to the cell s and the hysteresis parameters of the n neighboring cells are respectively obtained, and an array with a length n is established for storing the modified hysteresis parameter value of the cell s; and the CIOm of the arranged mth neighboring cell relative to the cell s is adjusted by the s, and the CIOs of the cell s relative to the mth neighboring cell is adjusted by the m. The method provided by the invention can increase a conversion success rate, balance the load of the network, increase the throughput of the network and improve the performance of the network.

The invention provides an arch ring compilation method of a parabolic double-curvature arch dam. On the basis of analysis of double-curvature arch dam basic parameters, based on the powerful parametric modeling function of CATIA software, three-dimensional modeling of the arch dam can be achieved, and dam stress analysis, rendering effect picture, generation of a two-dimensional picture and calculation of work amount and the like are conducted with a three-dimensional model imported into relevant software. The method has the advantages that building of the arch ring of a parabolic double-curvature arch dam completely relies on parametric driving, and adjustment of the arch dam shape can be completed through modification of the basic parameters, so that the modeling and analysis efficiency is greatly improved.

The invention relates to a mobile communication technique, which discloses a method for paging users in the mobile communication system to simplify the communication instruction system and reduce the paging time and processing time delay. In said invention, the invention combines the two paging modes as core network and the access network into one mode as access network, to simplify the direct control and management of core network on the user state, to complete relative user mobile state management all in the access network. The paging message can be transmitted via descending shared channel or special paging channel. And when starting the paging, the paging message only contains the user mark.

The invention relates to a method for defining a fast-growing plant scope, and aims to screen fast-growing, high-yield and high-carbon capturing efficiency plants for the preparation and storage of carbon storage profiles, papermaking, chemical raw materials, fertilizers, building materials, packaging materials, combustion power generation, replacement of fossil energy and the like to realize negative growth of global atmospheric greenhouse gases, adjust a greenhouse effect and control the formation of haze. The method comprises the following steps of (1) defining a selection range; (2) determining each physiological and growth index of fast-growing plants; (3) determining high-quality plants in a community; (4) determining the cover degree or the coverage rate of the plants, and classifying the plants according to the step (2); (5) determining the biomass of the high-quality plants, and classifying the plants again according to the step (2); (6) determining organic matters of a surface layer soil sample or the water quality standard of a water sample in the selected community, and performing comparison according to the step (2); (7) determining the propagation capability of the high-quality plants, and performing removal according to the step (2); and (8) finishing the definition when the accuracy is over 90 percent.

This invention relates to a mobile terminal reporting storage allotting parameter information method, which includes: the network and mobile terminal storage allotting parameter, the corresponding area maker and the edition maker and their mapping relationship; when the network needs the mobile terminal to report the storage allotting parameter information, the reporting information of the mobile terminal includes the area maker and its edition maker that corresponds to the storage allotting parameter; the network side judges the area maker and its edition maker whether they are same, if they are, then the storage allotting parameter is usable, if not, the storage allotting parameter is not usable. The area maker and the edition maker can exclusively express all the present used storage allotting parameter of this token area. This invention simplifies the storage allotting information parameter that the mobile terminal reports, which reduces the spending of the upper signal order to shorten the time of the continuous calling.

The invention relates to the technical field of a wind power plant model checking system and method based on a trace sensitivity method, in particular to the technical field applied in the wind power plant model checking. The system comprises a wind power plant and an external network equivalence system, wherein the external network equivalence system is connected with the wind power plant through a PCC (Program-Controlled Computer); the outlet voltage of a wind generating set in the wind power plant is 690 V; a wind driven generator is connected with a box-type transformer; the no-load voltage ratio of the box-type transformer is 690/35,000; the box-type transformer is connected with current collection circuits; the three current collection circuits are gathered in the PCC, and are accessed on the low-voltage side of a main transformer; and through boosting of the main transformer, electric energy is transmitted out through circuits. The system and the method can quickly and effectively check the modeling effectiveness of the wind power plant, and achieve the effect of checking the model accuracy while simplifying model parameters through combining the method research implemented by taking short-circuit faults as examples for instances. A novel checking method is brought for accurate modeling research to realize safe and stable operation of electric power systems.

The invention relates to a highway toll station lane number calculation method, which comprises the following steps of: counting and analyzing the service time of each vehicle type of a toll station adopting different toll modes, and establishing a multivariate toll mode service time calculation model according to the service time analysis; establishing a toll station vehicle passing and service simulation model based on the VISSIM platform, and obtaining the actual lane number requirement of the toll station; according to the number of lanes required by the toll station and the service time,calculating and correcting the designed hour traffic volume by using a queuing theory; carrying out regression fitting on the traffic volume of the corrected design hour and the traffic volume of theactual design hour to obtain a traffic volume conversion model; and selecting a typical toll station to calculate and verify the lane number. The toll station lane number calculation method provided by the invention provides support for a traffic department to newly build and reconstruct the toll station and design the toll station lane number.

The invention discloses an image registration device and method for a multi-model imaging system. The image registration device comprises a positioning base, a closed cavity, test tubes and a seal cover. The closed cavity is fixed in one side wall of the positioning base, each test tube is a thin tube with an open end, developing agents are injected into the test tubes, the test tubes are placed in the closed cavity, and the axes of the test tubes are parallel with the an examination shaft. The seal cover is used for sealing the closed cavity, and when FMT registration is performed, the inside of the closed cavity is filled with media; the positioning base is made of nontransparent material; the closed cavity and the test tubes are made of transparent material. Based on rigid body registration, parameters are relatively simple, the registration accuracy is high, registration can be performed on a two-model, or three-model or four-model combination in four-model imaging devices flexibly and accurately, and particularly the accuracy of FMT and other model image registration is improved.

The invention relates to a control method realizing CANON process high-efficiency stable operation. The invention belongs to the field of sewage processing. The invention aims at providing a control method realizing CANON process high-efficiency stable operation. The method comprises the steps that: CANON sludge is inoculated into an autotrophic denitration MBR reactor; sewage to be processed is delivered into the autotrophic denitration MBR reactor; and a ratio of aeration amount to influent ammonia load is controlled at 0.25-0.30 (L/min)/(kg/m3/d) through regulating the aeration amount, the influent flow rate and/or hydraulic retention time, such that CANON process high-efficiency stable operation is realized. An ammonia nitrogen removal rate is higher than 90%, a total nitrogen removal rate is higher than 80%, no nitrous accumulates in the reactor, and no excessive nitrate is produced. Under the condition, ammonia oxidation bacteria and anaerobic ammonia oxidation bacteria cooperates. If the aeration amount is too high, anaerobic ammonia oxidation bacteria activity is inhibited, or nitrifying bacteria activity is recovered. If the aeration amount is too low, the aeration amount is too activity is inhibited.

Provided is a definition method of herbaceous plants for handling global climate changes. The method is used for screening out the herbaceous plants which are high in carbon sequestration efficiency and have a high economic value, controlling stony desertification and desertification, reducing beach erosion and water and soil loss, increasing the total carbon storage amount and total biomass amount of an earth ecological system, developing new climate economy and achieving a zero-carbon development pattern. The method includes the steps of (1), determining a definition range and selecting theherbaceous plants suitable for development of agriculture, forestry, husbandry, by-products and fishery within the definition range; (2), determining each biological index of the herbaceous plants which are high in carbon sequestration efficiency and capable of governing stony desertification, desertification, beach erosion and water and soil loss; (3), randomly selecting 10 colonies and determining excellent plants in the colonies; (4), determining a coverage degree of the excellent plants in the colonies and conducting primary classification according to the indexes in step (2); (5), determining the biomass and propagation capability of the excellent plants in the selected colonies and conducting secondary classification according to the indexes in step (2); (6), completing definition when the accuracy rate is greater than 90%.

The invention provides a manufacturing method of a plane wing-body fairing, comprising the steps of taking two, three or four quadratic curves as guide curves, wherein one guide curve is a lower boundary line and the tangent vector direction of the lower boundary line is designated to be vertical to a symmetrical face of the plane body; using sweeping rules of the quadratic curves to generate a whole curved profile of the plane wing-body fairing; using the plane body and a wing shape to perform tailoring, then obtaining a wing-body fairing profile; and according to the obtained wing-body fairing profile, manufacturing a plane-wing fairing by hot-press forming. The manufacturing method of the invention uses the quadratic curves to implement quick parametric design of the wing-body fairing profile. Compared with the common methods, the step of controlling section lines is obviated.

The invention discloses an option volatility automatic fitting method and an option volatility automatic fitting system, which realize the automation of an option transaction whole process and improveavailability and usability of the transaction software. According to the technical scheme, the method comprises the steps of 1, selecting proper data from a given option series to form an implicit volatility sequence required by fitting algorithm input; 2, fitting the data with the implicit volatility sequence into volatility model parameters; and step 3, judging the effectiveness of the volatility model parameters.

The rapid and efficient visible light remote sensing image sea-land accurate segmentation method provided by the invention overcomes the defects that a large amount of manpower and material resourcesare consumed in a manual detection process, the interpretation speed is low, the accuracy is low, and many manual misjudgments and missed judgments exist, and is good in sea-land segmentation effect,relatively high in efficiency and relatively low in cost. In order to solve the problem that a neural network model in the prior art is high in calculation complexity and the adjustable parameters aremany, a pulse coupling optimization neural network model is provided and has the characteristics of a human vision system; in order to solve the problem that in the prior art, a pulse coupling neuralnetwork model structure is too complex, is large in the number of parameters and needs manual intervention, pulse coupling optimization neural network parameter automatic setting is provided, the method is well applied to visible light remote sensing image sea-land segmentation, the parameter adaptive capacity is high, the image characteristic range does not need to be defined in advance, and theaccuracy and speed of remote sensing image sea-land segmentation are improved.

The invention discloses a water cooling system and a cooling liquid flow velocity detection method thereof. The method for detecting the flow velocity of the cooling liquid of the water-cooling system comprises the following steps: building a heat conversion model between the water-cooling system and a device to be cooled according to a thermodynamic principle; according to the relationship between the flow of the cooling liquid of the water cooling system and the heat absorbed by the water cooling system, the relationship between the flow of the water cooling system and a heat conversion model is obtained; monitoring and acquiring values of parameters related to the heat conversion model in the water cooling system and the device to be cooled; substituting the values of the related parameters into the heat conversion model to obtain the flow of the water cooling system; and calculating the flow velocity of the cooling liquid according to the obtained flow. The method is easy to implement, and the flow velocity of the cooling liquid can be accurately obtained.

The invention discloses an ore drawing automatic control method, a controller, an ore drawing machine, a system and a storage medium. The method comprises the steps: firstly, obtaining an average oreloading volume V and an ore pile average height H corresponding to the full load of a mine car; then, in the ore drawing process, the volume Vi of the ore pile in the current mine car and the height Hi of the highest point of the ore pile are detected; whether the current ore drawing amount meets the requirement or not is recognized based on the ore drawing model; wherein if the ore drawing modelis met, the current ore drawing amount meets the requirement, if the current ore drawing amount meets the requirement, ore drawing is stopped, and the ore drawing model is used for judging whether themine car is full or not by comparing the real-time volume and the standard volume of an ore pile and the real-time height and the average height of the ore pile in the ore loading process. By means of the method, on one hand, automatic ore drawing control is achieved, the problem of manual remote control ore loading is solved, and on the other hand, the influence of large rocks can be effectivelyreduced.

The invention relates to the technical field of automobile part structures and control methods, in particular to a semi-active anti-roll structure and a control method. The stabilizer bar connecting rod comprises a piston cylinder body and a liquid storage cylinder communicated with the piston cylinder body through a cross rod, a boss is arranged on the inner wall of the liquid storage cylinder, a flow channel is formed between the boss and the bottom of the cylinder body of the liquid storage cylinder, a containing cavity communicated with the flow channel and the flow channel is formed between the boss and the bottom of the liquid storage cylinder, and a steel ball capable of rolling in the containing cavity is arranged in the containing cavity. Limiting ports for limiting entering of the steel balls are formed in the connecting positions of the two sides of the containing cavity and the channel and the flow channel, gaps for liquid to pass through are reserved between the limiting ports and the steel balls, a through hole for communicating the liquid storage cylinder with the containing cavity is formed in the boss, and the through hole is completely closed when the steel balls move to the end, facing the containing cavity, of the through hole. A set of combined structure of the circulation valve and the compensation valve is designed to control flowing of oil, the rigidity of the stabilizer bar connecting rod is adjusted, and side tipping of a vehicle body is effectively prevented.

The invention discloses a remote sensing image ground object classification method based on semantic segmentation, and the method comprises the following steps: S1, collecting a remote sensing image of a ground object through an unmanned plane, and constructing a remote sensing image set; S2, preprocessing the acquired remote sensing image set, constructing a sample image data set, and dividing the sample image data set into a training set and a verification set; S3, constructing a neural network semantic segmentation model; S4, inputting the training set into the neural network semantic segmentation model for training, and adjusting parameters in the training process by adopting a verification set to obtain a trained neural network semantic segmentation model; S5, inputting a to-be-identified remote sensing image into the trained neural network semantic segmentation model to obtain a ground object classification result, and realizing ground object classification of the remote sensingimage. The method solves the problems that an existing ground object classification model is large in parameter quantity, long in convergence time during training, poor in model generalization abilityand low in recognition accuracy.

The invention belongs to the technical field of computer vision, and particularly relates to a vehicle multi-attribute recognition method, device and equipment based on deep learning. The invention discloses a vehicle multi-attribute identification method, device and equipment based on deep learning. The method comprises the steps of obtaining a to-be-detected vehicle picture; inputting the to-be-detected vehicle picture into a preset multi-attribute recognition model based on a preset convolutional neural network to obtain a multi-attribute recognition result of the to-be-detected vehicle picture, the preset multi-attribute recognition model being an association relationship model of the vehicle picture and the multi-attribute recognition result; wherein the preset convolutional neural network comprises a data layer, five conv layers, two dropout layers, three pooling layers, two fc layers and two loss layers. The technical problem that existing vehicle multi-attribute identificationis time-consuming is solved.