38results about How to "Realize reasonable planning" patented technology

The invention discloses a cell reselection parameter optimizing method and device, relates to the technical field of communication, and solves the technical problems that different cells perform reselection according to the same reselection parameter in the prior art. The method includes: respectively determining the maximum adjusting range of cell reselection thresholds under different environments according to the wireless transmission features and different terminal performances under the different environments; determining the cell reselection thresholds under the different environments according to the maximum adjusting range; aiming at the cell reselection threshold under one environment, acquiring the reselection times among cells on cell PS domain services under the environment; adjusting the cell reselection threshold according to the reselection times. The method is mainly applicable to cell reselection.

The present invention relates to an equipment status monitoring system based on data training. The system includes a number of monitoring units, which are arranged on the unit to be monitored for real-time monitoring of the operating status of the unit to be monitored; The interaction coefficient between the units to be monitored and to determine the currently running unit to be monitored; the control unit is connected to the storage unit and the monitoring unit, and the central control unit is based on the state of the currently running unit to be monitored and the relationship between the unit to be tested and other monitoring units The action coefficient determines the monitoring time and monitoring intensity of other units to be monitored. Through the real-time monitoring of the status of the monitoring unit, and according to the monitored real-time status and its relationship with other monitoring units, the monitoring time and monitoring intensity of other monitoring units are determined, so as to realize the precise monitoring of the monitoring unit. This makes the scheduling of the working status of the monitoring unit more reasonable and efficient.

The invention relates to an electric vehicle charging station stationing method based on traveling behavioristics. The electric vehicle charging station stationing method comprises the following steps: a step S1 of analyzing behavior characteristics of electric vehicle users; a step S2 of carrying out grid processing to a regional map and determining optimal routes; a step S3 of establishing a spatial behavior characteristic model of the electric vehicle users, and determining whether charging demands are needed; a step S4 of optimizing addresses of the electric vehicle charging stations by means of a genetic algorithm; and a step S5 of dividing charging station service areas based on the Voronoi thought, and determining energy demands of the charging stations. By establishing the travelling spatial behavior model of the electric vehicle users and drawing an electric vehicle spatial charging demand graph, a reference base is provided for stationing the electric vehicle charging stations, reasonable programming of the charging station addresses is achieved, the charging station service revenue is increased, and therefore the problem that because the addresses of the charging stations are not distributed uniformly, promotion and development of the electric vehicles are limited.

The invention discloses a communication bandwidth forecasting method based on power business requirements. The communication bandwidth forecasting method includes: calculating the total business bandwidth data of each year; obtaining the data of a plurality of business bandwidth influencing factors in each year; performing dimension reduction process on the data of the plurality of business bandwidth influencing factors in each year by means of a principal component analysis method; training a neural network model used in forecasting of an electric power communication network; and forecasting the communication bandwidth of the electric power communication network through the trained neural network model. Additionally, the invention further discloses a communication bandwidth forecasting device based on power business requirements. The neural network model is used for forecasting multiple factors of the bandwidth of the electric power communication network. The problem that the influence on forecasting objects caused by the various business bandwidth influencing factors cannot be described by the traditional method is solved, and the forecasting accuracy is improved. The communication bandwidth forecasting method is favorable for reducing communication cost and accordingly improves the economic benefit and social benefit of the electric power system communication.

The invention provides a method for tracking control of preset performance in a magnetic hysteresis compensation-containing motor servo system. The control method comprises the following steps: 1, establishing a magnetic hysteresis-containing motor servo system model; 2, designing a magnetic hysteresis compensation-containing preset performance tracking control method; 3, designing system parameters to meet the minimum system tracking error. According to the method, a motor servo system is used as a study object, the system parameter uncertainty, the nonlinear frictional characteristic, the unmodeled outside interference and the magnetic hysteresis nonlinearity are considered, an excellent tracking controller is designed, a magnetic hysteresis model containing linear items and bounded interference items is established, and the controller is conveniently designed; aiming at the system parameter uncertainty and the unmodeled interference items, relatively good parameter estimation and robust bounded stabilization are achieved by an adaptive robust control method.

The cooperative navigation method among small celestial body detectors disclosed in the invention belongs to the technical field of deep space detection. The implementation method of the invention is as follows: establishing a small celestial body detection dynamic model, including a dynamic model for deep space detection of small celestial bodies and a small celestial body detection collaborative detector dynamic model. The optical camera measurement model and the inter-detector measurement model are established respectively, and the angular position information of the optical measurement and the relative distance and velocity information between the detectors are combined to obtain the small celestial body detection collaborative navigation measurement model. By analyzing the observability of the navigation system, the observability optimization index is derived and established, and the observability of the navigation system is evaluated by the observability optimization index, and the optimal collaborative navigation measurement information is obtained by optimization. According to the small celestial body detection dynamics model, the cooperative navigation measurement model and the optimized measurement information, the navigation filtering method is used to realize the accurate estimation of the detector state and improve the autonomous navigation accuracy of the cooperative detection. The invention can provide support for the optimization of cooperative navigation information for deep space exploration.

The invention discloses a tumor treatment system for optical surgical navigation, comprising a CT machine, an ultrasonic apparatus, an electromagnetic locator, a treatment couch, an optical surgical navigator, gamma radiotherapy equipment, a puncture device, a mechanical arm, a fixed turntable, and a console , the optical surgical navigator adopts a camera vision system, and the RGB camera is used as an image output device to complete image acquisition and output by converting optical signals into electrical signals. It mainly includes three modules: optical imaging part, photoelectric conversion part and electronic circuit part. The optical imaging part includes an optical lens and an imaging plane. When the light projected on the lesion is reflected by the optical lens and refracted by the optical lens, the image of the lesion is projected onto the imaging plane of the RGB camera, and the optical signal is converted into an electrical signal by the photoelectric conversion part, and the electronic circuit Part of the amplified weak electrical signal is uploaded to the console through the USB interface, and the image processing of the console obtains the target position of the lesion.