16results about How to "Achieving dynamism" patented technology

The invention relates to the technical field of information security, and discloses an authentication method and system based on a Ksession shared session key MAC, and the method comprises the steps: obtaining to-be-encrypted data in a power monitoring system, dividing the to-be-encrypted data into key data and real-time data, and encrypting the key data and the real-time data; the method comprises the following steps: dynamically generating a Ksession key by using an ECDH protocol and an identity-based IBC technology, generating a message authentication code by using the Ksession key, carrying out integrity and authenticity verification on data in transmission through the message authentication code, transmitting encrypted data through a TLS / SSL protocol, and destroying the Ksession key at the end of a session; a quantum security digital certificate is generated by fusing quantum key distribution and a quantum security signature algorithm, and verification of the digital certificate is realized through a multi-party verification mechanism. The quantum security technology and the advanced encryption theory are integrated, and qualitative leap is achieved in the aspects of identity authentication, data encryption, integrity verification and access control.

The invention provides a marketing path dynamic generation method and device based on behavior preferences, equipment and a medium, and the method comprises the steps: obtaining user behavior data, and constructing a user behavior graph structure according to the user behavior data, the complex association comprising similarity between users, association between contacts and interaction weights of the users to the contacts; processing short-term behavior records of the user according to a Transform network, extracting sequence features, storing statistical features of long-term behaviors of the user according to a long-term memory network, and based on a user behavior graph structure, fusing the sequence features and the statistical features to obtain fused features; by constructing the user behavior preference graph and fusing the short-term and long-term behavior characteristics of the user, accurate modeling of the user behavior preference is realized. The graph structure not only captures the global structure of the user behavior, but also can dynamically reflect the current interest of the user; according to the method, the path candidate set is dynamically generated and optimized by adopting reinforcement learning and combining real-time feedback.

The invention relates to an intelligent control method for a high-speed aircraft, and the method comprises the steps: building an aircraft control architecture, carrying out the decision-making of a neural network model, training a decision-making neural network, and carrying out the real-time compensation of a control instruction according to the flight state of the aircraft, so as to achieve the control of a variable-configuration high-speed aircraft. An aircraft controller adopts a model + learning double-layer architecture, a decision neural network is designed to be of a Double Network structure, overload errors of pitching, yawing and rolling channels are considered in a reward function design, training of a decision neural network model is based on a double-delay deterministic strategy gradient algorithm, a training process is optimized by adopting a prior experience playback technology and a target strategy smoothing mechanism, and a decision neural network model is obtained. The control system can achieve real-time intelligent adjustment of control instructions, overload quantities and attitude angles of three channels of the aircraft and corresponding rudder deflection instructions output by the controller at the last moment are obtained from the environment, the intelligent body outputs control instructions of pitching, yawing and rolling channels, and therefore intelligent control over the variable-configuration high-speed aircraft is achieved.

The invention relates to the technical field of signal encryption, in particular to an aviation data bus signal encryption method and system based on a field programmable gate array (FPGA), which comprises the following steps of: based on input three-dimensional tensor signal data, extracting slices from a time index of an aviation data bus according to a fixed interval, progressively sequencing amplitudes of signal channels, and then segmenting; according to the method, through processing logic of matrix decomposition and feature curve generation, the feature extraction and dimension reduction process is optimized, the distinction degree and the expression capacity of feature information are improved, the randomness and the anti-cracking capacity of a key are enhanced through a key generation mode combining a dynamic disturbance factor and an encryption parameter, and the safety of signal transmission is guaranteed; through combination of amplitude superposition and frame-by-frame storage, dynamism and high efficiency of a signal encryption process are realized, signal tampering and eavesdropping risks are reduced, and through feature reconstruction and point-by-point matching processing in a decryption stage, accurate restoration of signal amplitude is ensured, and data integrity and anti-interference capability are guaranteed.

The invention discloses a system for sharing idle computing power of an intelligent automobile, which comprises a user terminal serving as a computing power user, the intelligent automobile for providing computing power service, a cloud end for scheduling the computing power of the intelligent automobile, a computing power sensing module, a computing power measuring module, a computing power arrangement module and a vehicle-mounted computing power execution module, and the computing power arrangement module schedules the computing power of the intelligent automobile according to the processing results of the computing power sensing module and the computing power quantity module so as to provide computing power service for the user terminal. The embodiment of the invention provides an efficient and flexible intelligent vehicle idle computing power sharing system, so that full utilization of vehicle idle computing resources is realized. The system has wide applicability and expandability, can meet the calculation requirements of different users, brings extra benefits to vehicle owners, and makes contributions to social calculation resource optimization.

The invention discloses a static forest fire risk assessment method and system based on multi-source data and a remote sensing technology. The method comprises the following steps: establishing an index system of a target area and carrying out data acquisition; the collected data are preprocessed; calculating influence factors and index weights by using the preprocessed data, determining spatial and temporal distribution of calculation results of different influence factors, and calculating a comprehensive factor result by using each single influence factor according to a set weight; and evaluating the forest fire risk based on the obtained comprehensive factor result, and realizing dynamic monitoring of the forest fire risk value. According to the method, the accuracy and the real-time performance of forest fire space-time risk prediction are improved; and theoretical support is provided for follow-up forest fire risk prevention and control of electric power companies.

The invention relates to the field of tubular column life dynamic prediction, in particular to a tubular column life dynamic prediction method based on corrosion logging detection, which comprises the following steps of: constructing target parameters influencing the corrosion rate of a test tubular column by utilizing a single parameter change test, and calculating the acid gas partial pressure, the liquid holdup and the fluid flow state of each monitoring point; the corrosion rate corresponding to the monitoring point is determined by adopting electromagnetic flaw detection logging, a corrosion rate prediction model is established by adopting a neural network prediction method, and future target prediction parameters are determined by predicting the gas production rate, the water production rate and the formation pressure of each year in the future; therefore, the corrosion rate of each year in the future is determined; calculating the residual wall thickness of the future year, determining an internal pressure resistance safety coefficient and an external extrusion resistance safety coefficient, determining the residual life of the to-be-predicted tubular column, and timely sending out early warning information; and transmitting the early warning information and the collected data to a terminal by using a wireless communication technology to monitor the tubular column in real time. Therefore, the dynamic performance of gas well life prediction is realized.

The invention discloses a high-adhesion water-based paint and a preparation method thereof, and belongs to the technical field of water-based paints. Comprising the following steps: mixing and dissolving catechol modified acrylic acid of which the end group is amino, a flexible ester monomer, aldehyde olefin and an organic solvent, adding a free radical initiator, and heating for reaction to obtain a modified polyacrylic acid mixture; mixing, stirring and emulsifying the modified polyacrylic acid mixture, an organic silicon flatting agent solution, a compound emulsifier and deionized water to obtain the water-based paint with strong adhesive force. According to the bionics principle, a catechol derivative is introduced into an acrylic monomer, and strong adhesion to an automobile base material is realized through a polymer net structure formed by strong hydrogen bond crosslinking, metal coordination and other actions of the catechol derivative; and amino groups and aldehyde groups on the modified polyacrylic acid polymer can be crosslinked to form a dynamic imine structure, so that the high-temperature resistance of a coating film formed after the coating is coated is improved, and the functions of self-repairing and strong adhesion are realized.

The invention relates to the technical field of big data, and discloses a rule matching method and device based on a graph theory, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-matched rule; constructing a directed acyclic graph according to the rule to be matched; traversing the directed acyclic graph, and matching according to a plurality of preset matching algorithms to obtain a matching result; and performing code response or returning specified content according to the matching result. By implementing the method provided by the invention, the dynamic management and optimization of the rule can be realized; the performance bottleneck of a traditional rule engine in processing large-scale data and complex rules is overcome.

The invention belongs to the technical field of information recommendation systems, discloses a recommendation method and system based on music user position context dynamics, designs a graph neural network model suitable for a dynamic graph structure, and embeds geographical position information of a user into the model. By considering the music preferences of the user at different geographic positions, the interest and preference of the user can be better captured. In a model training and learning stage, a graph neural network model is trained by using a training data set, and model parameters are optimized, so that the recommendation accuracy and individuation degree of the model are improved. By continuously learning the user's geo-location context dynamics, the model can continuously adapt to the user's varying preferences. And based on the trained graph neural network model, recommending music which is not listened by the user. And in combination with the current geographical location information of the user, the recommendation result is dynamically adjusted, and a more personalized and accurate music recommendation service is provided.

The present invention relates to the field of signal encryption technology, specifically to an aviation data bus signal encryption method and system based on FPGA, comprising the following steps: based on the input three-dimensional tensor signal data, extracting slices at fixed intervals by the time index of the aviation data bus, and segmenting after the amplitude of the signal channel is sorted in ascending order. In the present invention, the processing logic of matrix decomposition and characteristic curve generation optimizes the feature extraction and dimensionality reduction process, improves the distinguishability and representation ability of feature information, and the key generation method combining dynamic perturbation factors with encryption parameters enhances the randomness and anti-cracking ability of the key, ensures the security of signal transmission, and combines amplitude superposition with frame-by-frame storage to realize the dynamic and efficient signal encryption process, reduce the risk of signal tampering and eavesdropping, and ensures the accurate restoration of signal amplitude through feature reconstruction and point-by-point matching processing in the decryption stage, and ensures data integrity and anti-interference ability.

The utility model provides a decorative flower, and relates to the technical field of artificial flowers. The device comprises a shell assembly; the steering engine is mounted in the shell assembly; the bottom end of the petal pressing piece penetrates into the top of the shell assembly through a limiting opening, and the petal pressing piece is driven by the steering engine to vertically move; and the petals are rotationally connected to the peripheral sides of the tops of the petal pressing pieces correspondingly, and the petals close to or away from the limiting openings through the top ends of the petal pressing pieces to be folded or unfolded. On the whole, the artificial flower can achieve the dynamic effect of closing or opening, and a better visual effect is generated.

The invention discloses a multi-stage repairable complex system task reliability evaluation method, and relates to the technical field of system reliability analysis, and the method comprises the steps: constructing a structure model of a complex system; constructing a fault tree of the complex system, and calculating the occurrence probability of each bottom event and each middle event in the fault tree; a state transition matrix is constructed, and the state transition probability in the state transition matrix is adjusted through the occurrence probability of each bottom event and the occurrence probability of each middle event; performing secondary adjustment on the state transition probability in the state transition matrix according to the state transition result of the maintained component; and determining the starting time and the ending time of the task and a plurality of stages contained in the task, updating a state probability vector by using the adjusted state transition matrix for each stage in a task time interval, taking the position of a normal state in the state probability vector of each stage as a normal state index, and calculating the task reliability of the complex system. And accurate evaluation of the reliability of the system task is realized.

The application discloses a kind of wastewater purification treatment device in fertilizer production, it is related to wastewater inactivation technical field, including top partition box, flat box and support frame, the top of support frame is fixedly connected with flat box, and flat box is as wastewater treatment container;The middle groove is opened in the top of flat box, and the guide block is movably inserted in the middle groove, and the ladder pipe is rotatably connected on the guide block, the physical disinfection component and the chemical disinfection component that can reciprocate along the inside are arranged in the flat box, so that disinfection structure can cover the intermediate product of wastewater in different positions and carry out processing, break through the problem that the range of traditional fixed ultraviolet lamp irradiation is limited, reciprocating walking component drives ladder pipe, outer sleeve and reagent injection structure synchronous movement, so that ultraviolet irradiation and chemical reagent addition can realize dynamic action, to improve the processing uniformity and disinfection coverage rate in the whole container.

The invention relates to a multi-protocol mixed signal conversion device, method and equipment based on an MVB bus, and the device comprises an MVB bus interface circuit which is used for connecting a signal host and processing an MVB bus signal; the main management unit is connected with the MVB bus interface circuit; the RS485 interface circuit is connected with the main processing unit and is used for being connected with external RS485 equipment; the analog signal output circuit is used for outputting an analog control signal to drive an external actuator according to the digital quantity instruction output by the main processing unit; the main processing unit is configured to execute an MVB protocol stack, manage an RS485 communication protocol, control acquisition and output of analog control signals, dynamically configure a data mapping relation, and realize bidirectional data conversion between MVB process data and RS485 data and between the MVB process data and analog signal data according to the data mapping relation. Compared with the prior art, the system has the advantages of high integration level, flexible configuration, high reliability, good economical efficiency and the like.

The utility model provides a mechanical art dynamic ship ornament device. The mechanical art dynamic ship ornament device comprises a base; the ship body is fixedly installed on the top of the base, and guide grooves are formed in the two ends of the two sides of the ship body. According to the mechanical art dynamic ship ornament device, the driving motor, the worm, the worm gear, the crank, the connecting piece, the mounting piece, the mounting rod, the rotating piece, the paddle and other structures are matched with one another, when the mechanical art dynamic ship ornament device is used, the driving motor outputs power to drive the worm to rotate, the worm and the worm gear are in meshed transmission, the power is transmitted to the worm gear, and therefore the mechanical art dynamic ship ornament device is formed. The worm gear drives the cranks at the two ends to do circular motion, the cranks transmit the motion to the mounting piece through the connecting piece, the mounting piece drives the mounting rod to do reciprocating motion under the limiting action of the guide groove, the rotating piece on the mounting rod and the paddle move along with the mounting rod, the paddle simulates the paddling action in the positioning groove, and the dynamic effect of the paddle is achieved. And the ornamental value and the artistic expressive force of the ornament are enhanced.