203results about How to "With simplicity" patented technology

The invention provides a control algorithm of multi-unmanned aerial vehicle cooperation formation and obstacle avoidance. The control algorithm comprises steps of (1) when an unmanned aerial vehicle formation executes a flight task, detecting positions and speed information of the unmanned aerial vehicles and airspace obstacles through an airborne sensor, and abstracting obstacles in a flight space into ball bodies; (2) according to position information of each unmanned aerial vehicle, constructing an unmanned aerial vehicle formation communication topology, and using a distributed transmission method, achieving information interaction between neighborhood unmanned aerial vehicles in the formation; (3) constructing an unmanned aerial vehicle dynamics model; and (4) when detecting an obstacle, determining a safe distance of obstacle avoidance of the unmanned aerial vehicles, judging whether the distance between any unmanned aerial vehicle and the obstacle in the unmanned aerial vehicleformation meets requirements of the safe distance, and if not, adjusting the formation pattern and carrying out obstacle avoidance through a virtual force strategy. The control algorithm is operable and simple; cooperation formation of multiple unmanned aerial vehicles can be achieved; obstacles can be avoided quite flexibly; and the control algorithm is very important for multi-cooperative combats.

The invention discloses a method of a smartphone for remotely controlling document transmission. The smartphone is used for communicating with a remote computer through wireless network to acquire document catalogs and names required by users; and then communication information such as IP address is acquired by the connection with a near-end computer through short-distance wireless communication and is offered to the remote computer; finally, network connection is established between the near-end and the remote computers to complete the function of document transmission. The communication both between the smartphone and the remote computer and between the remote and the near-end computers goes through certain rights management to lead to safe document transmission. The invention reduces the problems of hardware configuration and network bandwidth required in the process of document transmission between the smartphone and the computers and solves the safety problem caused by using various document transmission methods among the computers at the same time. Furthermore, the invention has more simplicity and convenience and practicability and is easily realized and popularized.

The invention discloses a school canteen food safety management information system based on a modern information technology and belongs to the technical field of management. The system comprises a hardware system and a software system, wherein the hardware system includes video equipment, temperature and humidity measurement equipment, pesticide residue measurement equipment, bacterial residue measurement equipment, short message communication equipment, a client, an intelligent terminal and a server; and the software system includes a system database, a data access layer, a system component library, a data interface, a World Wide Web server and a wireless application protocol server. The system can ensure own security and stability, with authority control, identity authentication, logging, important information encryption storage and other functions, and has the advantages of simplicity, flexibility, expansibility, easy operation, maintenance management and function expansion.

The invention discloses a data encryption transmission method, which comprises the following steps of: downloading a public noise source from a public channel, and storing the public noise sourceand obtaining a local noise source; driving a superlattice chaotic device by using the local noise source to obtain a superlattice chaotic output signal; generating a random key according to the superlattice chaotic output signal; and encrypting and decrypting the data by using the random key. The embodiment of the invention further discloses terminal equipment and a using method of the superlattice chaotic device. Therefore, the security of symmetric encryption and the convenience of key distribution can be improved.

The invention discloses cellulose-based carbon fibers, a preparation method thereof and a method for preparing an electrode material and belongs to the technical field of preparation of biomass cellulose based materials. The method comprises the steps: preparing a precursor: dissolving a catalyst in water according to a preset ratio, adding a cellulose raw material, carrying out heating until boiling, evaporating water to dryness under the condition of maintaining a boiling state, and carrying out baking, so as to obtain the precursor; carrying out carburizing, catalyzing and graphitizing treatment: roasting the precursor in an inert atmosphere for the carburizing, catalyzing and graphitizing treatment, so as to obtain a metal element containing cellulose-based carbon fiber composite material; removing impurities: repeatedly washing the cellulose-based carbon fiber composite material with hydrochloric acid so as to remove metal elements from the cellulose-based carbon fiber composite material, and then, carrying out baking, thereby obtaining the cellulose-based carbon fibers. By adopting cellulose in the natural world as a raw material, the sustainabiity of the carbon fibers and lithium-ion batteries is achieved.

The invention discloses a quantum dot catalyst doped with metal ions. The catalyst includes a light-harvesting unit and a catalyzing unit, wherein the light-harvesting unit includes one, two or several kinds of quantum dots, and the catalyzing unit comprises the metal ions doped in the quantum dots. The metal ions are dispersed on the quantum dots in the following one or several manners that: (1) the metal ions are adhered to the surface of the quantum dots; (2) the metal ions are uniformly dispersed in the quantum dots; (3) the metal ions are disposed in the quantum dots in a gradient alloy way; (4) the metal ions are merely disposed on cores of core-shell quantum dots; (5) the metal ions are merely disposed on shells of the core-shell quantum dots; (6) both the cores and shells of the core-shell quantum dots are doped with the metal ions. The invention further discloses a photocatalytic hydrogen production system of doped quantum dots. The system has high efficiency of a quantum-dot-catalyst photocatalytic hydrogen production system and simplicity of a single quantum-dot photocatalytic hydrogen production system. The system can conveniently combine with an oxygen production half-reaction to totally decompose water.

The invention relates to the domain self-adaptive correlation problem in the machine learning field and provides a domain self-adaptive dimensionality reduction method through keeping a maximum dependency relationshipship between data conversion. In order to reduce the distribution difference between a source domain and a target domain, the two-time regeneration nuclear hilbert space mapping is carried out on data, wherein two hilbert spaces are respectively marked as H1 and H2. The H2 is called as a common potential space between the source domain and the target domain. In order to conveniently measure the difference of edge distribution between the source region and the target region, the measurement is achieved by using a maximum mean value difference (MMD) method. The H2 is obtained through the mapping of the H1. In order to obtain the correlationship of the data mapping measurement between the space H1 and the space H2, the hilbert-schmidt independent criterion (HIC) method is used for measurement. The method mainly aims to minimize the distribution difference of the source domain and the target domain in the H2, namely the MMD value is minimized.The dependency relationshipship between data conversion in the space H1 and the space H is maximized. That is, the HIC value is maximized.

The invention discloses a virtual electronic intelligent manufacturing factory control system and a control method thereof. The virtual electronic intelligent manufacturing factory control system comprises a product customization system, an enterprise management system, a workshop management system, an expert intelligent system, a quality control expert system, an electronic VR virtual manufacturing factory and the Internet for connecting the systems in a mutual communication manner. The system and the method have certain intelligence, universality, simplicity and reliability, and a brand newfeasible method for realizing an industrial 4.0-based virtual electronic intelligent manufacturing factory is provided. The system is suitable for electronic production enterprise upgrading innovationand college and university school training teaching.

A method utilizing protoplasts to fuse and screen rich-selenium high-yield strains among different ganoderma varieties belongs to the technical field of biological husbandry. The method selects different ganodermas to produce strains, the ganoderma cultivation is carried out, the ganoderma strains with high ganoderma sporocarp yield and good product agronomic trait are selected as the high-yield fusion original strains; and the selenium-resistant experiment is utilized to screen the ganoderma strains with strong rich-selenium capability as the rich-selenium fusion original strains. The method determines one parent strain as the inactivation strain through the hyphal growth speed and form, pigmental secretion, protoplast regeneration rate, protoplast inactivation time and the like; then the fusant screening is carried out through the hyphal form and antagonism, so the operation simplicity and practicability are obtained. The method is adopted to fuse one ganoderma fusion strain which has the sporocarp selenium content and yield higher than those of the original strain, so a good economical benefit is created.

The invention provides an automatic switching method of a WiFi network and a cellular mobile data network. The method comprises the following steps: S1, detecting the WiFi network and the cellular mobile data network, wherein the detection contents comprise signal strength, stability and service ability; and S2, performing comprehensive analysis according to the detection contents to select the optimal network. By adoption of the automatic switching method of the WiFi network and the cellular mobile data network provided by the invention, the defects of the traditional data switch can be effectively solved, the stability after data switch is improved, and frequent switch of a user between different networks is avoided. Data service quality higher than that of the current data network or data service higher than a certain service quality can be provided for the user after the data switch, and thus the user experience is improved. Meanwhile, as the switch times are reduced, the power consumption of the terminal is reduced. The method in the scheme provided by the invention requires no hardware reformation, and only a software module needs to be added, thereby being simple to implement.

The invention discloses a screw type self-balancing operation platform for side slope construction. The screw type self-balancing operation platform comprises an elevator fixedly installed at the flat part of a slope crest and a fixing support, wherein the fixing support is located below the elevator; one end of a steel wire rope is connected to a slope operation trolley on a slope, and the other end of the steel wire rope winds around a fixed pulley on the fixing support for being connected to the elevator; in the slope operation trolley, front wheels and rear wheels are installed at the two ends of a rectangular frame body respectively, one front wheel and the rear wheel located on the same side as the front wheel are connected through a transmission shaft, the two sides of a square operation platform are connected to the transmission shafts through screw structures, and the screw structures are composed of hinged structures at the lower part and nut transmission systems horizontally arranged close to the front wheels. According to the screw type self-balancing operation platform for side slope construction, the operation platform can be always horizontal and adapt to side slope operation of different gradients. In addition, the operation platform is simple in structure and convenient to operate and can guarantee the safety of constructors.

The invention provides a controlled source audio-frequency magnetotellurics one-dimensional inversion method using an improved genetic algorithm. By applying the genetic algorithm to CSAMT one-dimensional data inversion, a target function based on the combination of frequency weighting and phase weighting is proposed, a selection operator based on the combination of fitness value ranking selection and the simulated annealing method is proposed, segmented crossover probability upper and lower limits are proposed, and a crossover operator based on the combination of the self-adaptive crossover probability based on fitness values and a mutation operator based on the combination of fitness and gene weighting are proposed; by using the probability-based optimal individual preservation strategy, the individual with the smallest fitness value is replaced by the individual with the largest fitness value with a certain probability. Compared with the conventional CSAMT data inversion method, the method prevents inversion failure caused by the emergence of ill-conditioned matrixes, can avoid the problems of prematurity and the condition of being liable to be caught in a local extremum in the standard genetic algorithm, and enables chromosomes to move in the optimal solution direction rapidly to find the optimal solution.

The invention belongs to the field of power systems, and particularly relates to a method for analyzing the stochastic stability of an electric power system containing wind electricity. The method includes the steps that a stochastic differential equation is used for conducting modeling on stochastic disturbance existing in the system, an applicable stochastic stability definition is provided, the stochastic differential equation theory, an Ito formula and a stochastic Lyapunov energy function method are used for finding out a practical stochastic asymptotically mean square stability criterion, and a stochastic stability criterion of a system with uncertain state matrix parameters is derived. According to the method, the essence of the stochastic stability can be revealed more accurately, the defect that a deterministic analysis method is not accurate enough can be overcome, a model can be made to be more accurate, and a new theory and a new method can be provided for improving system control; the stochastic stability definition suitable for a electric power time-varying parameter system is provided from the point of a stochastic system is provided; a practical stability criterion of a stochastic time-varying parameter system of the electric power system is provided; compared with other methods, the method has conciseness and practicability.

The invention provides a management method and a management device for managing multiple computing boards by a single BMC (Baseboard Management Controller) and relates to a monitoring and management method of multiple computing nodes in a computer system. According to the method and device provided by the invention, a plurality of state and control signals of a SMbus bus, a system serial port, a computer in-position information, fan rotating speed, fan control and the like of each computing board are connected to a central management module, the core of the central management module is a BMC, and all computing nodes are managed and monitored by virtue of the single BMC in the central management module, so that the management resource is saved and the integral cost is lowered, and a simple multi-calculating node management strategy is realized.

The invention discloses a universal compound structure-property correlation prediction method based on a neural network, and the method comprises the following steps: 1, converting a molecular descriptor into a form of a feature vector, and constructing a data set; 2, dividing the data set into a training set and a test set, sending the training set and the test set to a full-connection neural network for training, and determining parameters of a full-convolution model; and 3, converting a to-be-predicted molecular descriptor into a form of a feature vector, and performing prediction accordingto the full convolution model. The prediction method has relatively high accuracy in prediction of solubility.

The invention discloses a simplified analysis method for an inherent frequency and the stability of a rotational symmetric structure. The method comprises the steps of establishing a complete dynamic differential equation of a system, a dynamic differential equation adopting a no-extension hypothesis, and a dynamic differential equation adopting an extension hypothesis: establishing the complete dynamic differential equation of the system; establishing the dynamic differential equation adopting the no-extension hypothesis; establishing the dynamic differential equation adopting the extension hypothesis; introducing coordinate conversion for converting the three dynamic differential equations to a support follow-up coordinate system so as to obtain corresponding three constant coefficient partial differential dynamic equations; performing discrete processing on the three constant coefficient partial differential dynamic equations in the support follow-up coordinate system to obtain three constant differential matrix equations; obtaining an eigenvalue of the complete dynamic differential equation and eigenvalues of two simplified dynamic differential equations; and analyzing a parametrically excited vibration mode characteristic and a dynamic stability change law of the rotational symmetric structure according to the three eigenvalues. According to the method, a specific analysis expression of system eigenvalues can be obtained more clearly.

The invention discloses an intelligent design method of a digital coding metamaterial unit. The method comprises the steps of 1) carrying out digital coding on a basic pattern of a 1-bit unit for constructing a metamaterial, and predicting unit polarization wave reflection phases during arrangement of different modules in the 1-bit unit by adopting a deep learning design algorithm; and 2) determining a polarization wave phase difference theta of a 1-bit unit structure for constructing the metamaterial according to a function requirement of the metamaterial, and designing the 1-bit unit structure with the polarization wave phase difference theta in combination with a binary particle swarm optimization algorithm module and a deep learning module. The design method provided by the invention realizes automatic design of an ideal reflection phase of a multi-bit unit on the basis of deep learning, has high efficiency and simplicity, is good in expansibility, can replace software to perform simulation, and lowers and shortens the corresponding complexity and time of obtaining information of a coding unit; and a multi-beam multi-polarization artificial electromagnetic surface is quickly and simply designed.

The invention discloses a computing method for an equivalent elastic modulus of two-dimensional porous materials. The computing method comprises the following steps of: firstly building a finite element computation model of the two-dimensional porous materials, then dividing a grid, exerting a displacement load, obtaining a resultant force of all nodes at fixed ends of loads along a direction of the equivalent elastic modulus, and finally obtaining the equivalent elastic modulus of the finite element computation model of the two-dimensional porous materials according to formula computing. Themethod disclosed by the invention is applicable to solving of the equivalent modulus of the two-dimensional porous materials with regular and irregular conformation in a covariance direction, moreover, size limit of a product is avoided, and the computing method has the advantages of simplicity and rapidness.

The invention provides a blockchain user identity supervision method and system considering privacy protection. The method comprises the steps that a user makes a request to call a service; a CA authentication node verifies an admission voucher of the user; a node server verifies the legality of the user obtaining the admission voucher, splices the key information containing the real identity information of the legal user with the corresponding operation data, and stores the spliced key information and operation data in the blockchain; and a supervision node monitors operation data in the blockchain, searches for key information of illegal/violating operation data, and acquires real identity information of illegal/violating users. According to the method, anonymous admission to the user issupported, a real identity encryption mode is adopted for the user, a supervision department can achieve the purpose of supervising the identity of the user without modifying a blockchain basic protocol, the identity of a malicious user can be revealed without adopting technologies such as big data analysis, and the method is simple and convenient.

The invention discloses a novel method for controlling the active changing rigidity of the vibration of an inhaul cable; a force sensor measures the initial pretension of the inhaul cable, and the measured data of the inhaul cable is sent to a D-V-I Bang-Bang active controller by making use of a displacement transducer and a data wire; the active controller judges and chooses active controlling force and then outputs the force so as to motivate a moving-coil type hydraulic servo actuator to generate dynamic state drawing force along the axial direction of the inhaul cable to lead the inhaul cable to actively change the rigidity, thereby achieving the aim of reducing the vibratory response of the inhaul cable. Devices used for realizing the method comprises the moving-coil type hydraulic servo actuator, a hydraulic station, and D-V-I Bang-Bang active controller; the upper end of the inhaul cable is fixed on a reaction force wall and provided with the force sensor used for measuring the initial pretension of the inhaul cable, and the lower end of the inhaul cable is connected with a puller of the moving-coil type hydraulic servo actuator; the inhaul cable is provided with the displacement transducer which forms a duct pilot together with the D-V-I Bang-Bang active controller and the moving-coil type hydraulic servo actuator by the data wire. The novel method not only can improve the insurance of the structure of the inhaul cable, but also can obtain remarkable comprehensive benefit.

The invention discloses a facial mask including: using dry carbon liquid, a weaving pad cut according to a feature, a positive electrode and a negative electrode arranged under the weaving pad, synthetic resin foam cream pasted on the weaving pad and maintaining the facial elasticity, a synthetic resin pad pasted under the weaving pad and maintaining the skin touch, and a power supply part for supplying the positive power supply and the negative power supply. The inventive carbon liquid is permeated into the weaving pad to dry the weaving pad, thereby providing power supply for the positive electrode and the negative electrode. At this time the dry carbon liquid plays the role of resistance to heat. This heat promotes pore to open and promotes blood circulation, so that the function of various humectants is played to the full extent.

A torque wrench for use in driving fasteners is provided. The wrench includes an electronics unit disposed within a housing engaged with the body of the wrench that is capable of sensing and measuring the torque applied to a fastener by the wrench and providing an output of the level of torque to the user. The data sensed by the electronics unit can be utilized to provide feedback to the user regarding the operation of the wrench, and to monitor the overall operation of the wrench for calibration purposes, among other functions. During use, the wrench can provide the user with visual, audible and tactile feedback regarding the operation of the device relative to stored maximum torque values stored in the electronics unit. The housing f or the electronics unit can be formed to be a single use component of the tool or can be designed for multiple uses with a configuration that can be engaged with cradles forming the body of the wrench having various different configurations.

The invention discloses a method for measuring radiation dose-related parameters of X-ray tomographic fusion. The method of the present invention includes: according to the characteristics of the X-ray tomographic fusion system, the tube load of the first positioning film is multiplied by the dose rate to obtain the total load of the system, and then evenly distributed to each tomographic image. According to the rounding principle of the Renard sequence, the tube load of each tomographic image was limited to a minimum of 0.25 mAs, and multiplied by the total number of exposures to obtain the total tube load of the entire tomographic fusion. The total tube load was divided by the tube load of the spacer, and the obtained ratio was multiplied by the product of air kerma and dose area of ​​the spacer, and the product of air kerma and dose area of ​​tomosynthesis was preliminarily obtained. The parameters are adjusted by two correction factors to obtain the final predicted air kerma and dose-area product. The method of the present invention is simple and effective, and does not need to separately superimpose the exposure parameters of all different layers.