30results about How to "Realize the predictive function" patented technology

The invention discloses a network attack target prediction method based on neighbor similarity. In the existing threat prediction methods, prediction and analysis are performed based on attack behaviors, and an attack target is not further predicted. The technical scheme adopted in the invention is as follows: firstly, preprocessing a safety event, performing normalization processing, and removing redundancy and misinformation; then matching the preprocessed safety event with a pre-defined rule library, performing correlation analysis, and reconstructing an attack scene; and finally calculating the similarity of a host address, an open port and an operating system of the attack target with these attributes of a neighbor host, and predicting the next step network attack target. The network attack target prediction method disclosed by the invention provides reference for an administrator to prepare handling strategies, achieves a prediction function of network attacks and improves the overall safety of the network.

The invention discloses an experimental method for predicting quality of cokes at different height positions in a coke oven. The method includes steps: acquiring a height H from a coal loading port toa coking chamber of a to-be-tested coke oven, a conventional coal loading height h and an average width d of the coking chamber; determining a height h and a width d of an experimental coal container; determining a distance h' between an actual coal loading port and a coal line after coal leveling in an experimental coal container production coke oven; acquiring a total loading bulk density rho in the experimental coal container; determining a height h1 between a researched position and the bottom to obtain bulk density rho 1 at the h1; performing a coking experiment, accurately controlling bulk density of each section and the total loading bulk density rho to be identical, and establishing a corresponding relation between experimental coke and produced coke; after bulk density of each section is controlled to be identical to the bulk density rho 1 at the h1, acquiring a strength index of the experimental coke, and finally acquiring an index of coke produced at the height h1 between the researched position and the bottom according to the corresponding relation between experimental coke and produced coke.

The invention provides a method and system for predicting the inclination angle of a building. The method includes the following steps: reading the measured value of the tilt angle and importing it into the data matrix; using the matrix decomposition method and the gradient descent method to fit the measured value of the tilt angle of the data matrix to obtain the corresponding points in the data matrix The predicted value of the tilt angle, and when the preset conditions are met, the predicted value of the tilt angle is output; all the predicted values ​​of the tilt angle exceeding the preset tilt angle threshold are saved in the wind direction and wind speed at the corresponding point in the data matrix, forming an easy-to-tilt wind direction Wind speed data set; compare the forecast value of the wind direction and wind speed of the environment where the building is located with the wind direction and wind speed at each point in the easily inclined wind direction and wind speed data set; when it falls within the preset range, an early warning signal is issued. It can predict the inclination angle of the building at a given wind direction and wind speed, so as to obtain the corresponding wind direction and wind speed when the building is prone to inclination, realize the alarm function, and prevent the building from collapsing.

The invention relates to a method and device for detecting dirty blockage of a heat exchanger, which includes collecting actual operating data during operation of the heat exchanger, and calculating theoretical operating state data according to the actual operating data and a predetermined operating state model; wherein, the operating The state model is determined according to the operating data and operating state data when the heat exchanger is not dirty and blocked; the actual operating state data corresponding to the actual operating data during the operation of the heat exchanger is obtained; according to the actual operating state data and theoretical operating state data, Determine if the heat exchanger is dirty. The invention can judge the degree of dirty blockage of the unit heat exchanger based on historical data, improves the judgment effect and detection speed, and solves the problems of excessive algorithm error and insufficient stability due to the small number of monitored operating parameters, and improves the efficiency of the heat exchanger. The accuracy of dirty blockage determination can also summarize the development trend through historical operation data and real-time operation data, so as to accurately predict the future dirty blockage of heat exchangers.

The invention provides an electrical phase prediction device based on a second-order derivative algorithm, which belongs to the technical field of electrical comprehensive protection and aims to solve the problem of inaccurate switching of dual power supplies with small phase difference due to the action time of the actuator; the invention includes a power supply module. , a signal processing module, a hardware zero-crossing module, a phase monitoring module, a data fusion module, a phase prediction module, a communication module and a functional additional module; the design in the present invention can realize the phase prediction function and perform the protection action in advance for the comprehensive protection. Data base; avoids the risk of power failure when switching between dual power sources without considering the actuation time of the actuator.