35results about How to "Achieve self-optimization" patented technology

The invention discloses a method and a device for automatically optimizing a mobile communication system. The method comprises that: user equipment detects an abnormal state event, and records abnormal state information; the user equipment sends the recorded abnormal state information to a base station of a cell for administering the generation of the abnormal state information; and the base station automatically optimizes the corresponding abnormal state event according to the received abnormal state information.

The invention discloses an air conditioner, a control method thereof, and a control device thereof, wherein the control method of the air conditioner includes the following steps: when an adjustment signal is received, judging the operating parameters and preset operation parameters of the air conditioner under the current operating condition Whether the parameters are the same; if the operating parameters of the air conditioner under the current operating conditions are different from the preset operating parameters, control the air conditioner to run with the preset operating parameters for the first preset time; obtain the outdoor ambient temperature and the outdoor coil in the outdoor unit temperature; if the difference between the outdoor coil temperature and the outdoor ambient temperature is less than the first preset value, the air conditioner is controlled according to the discharge temperature; if the difference between the outdoor coil temperature and the outdoor ambient temperature is greater than or is equal to the first preset value, then the rotational speed of the first motor and / or the second motor is adjusted. The control method realizes the self-learning and self-optimization of the air conditioner during operation, thereby enabling the air conditioner to exert greater capacity and achieve a higher energy efficiency level.

The object of the present invention is to provide a method and equipment for realizing load balancing in a heterogeneous network of a cellular network and a wireless local area network. Wherein, the cellular network and the wireless local area network constitute a heterogeneous network; the cellular network access device acquires load information of an adjacent wireless local area network, and determines the load status of the wireless local area network according to the load information of the wireless local area network; according to the The load status of the wireless local area network is configured, and the user equipment corresponding to the wireless local area network is configured to perform switching or routing, so as to realize load balancing under the heterogeneous network. Compared with the prior art, the present invention proposes a self-optimization method for realizing load balancing in a heterogeneous network of a cellular network and a wireless local area network. Manual participation, better user experience, control and management of wireless local area network based on cellular network, realize self-optimization of load balancing of heterogeneous network.

The invention belongs to the technical field of digital control of electromechanical integration, and relates to an intelligent control method with the three-stage processing self-optimization function. The intelligent control method comprises the following steps: firstly, optimizing and an executing processing program according to optimum processing parameters; secondly, detecting the current and the power supply voltage of a main motor in real time during processing, taking the current as a decision-making value, the voltage as an supplementary means and the variation delta af of the feeding speed af as a system adjustment value, and realizing closed-loop feedback fuzzy control of the processing process; and thirdly, taking a trigger signal of a three-dimensional measuring head as an input mark value after completing the procedure of detection of geometrical information of workpieces, reading the actual coordinate of a current measuring point after detecting the input mark value of the measuring head, estimating errors of processed workpieces after measuring all the measuring points, and performing secondary self-adaptive optimization and adjustment on the processing program. The intelligent control method can realize self-optimization of a digital control program; and a digital control system can acquire shape and position error information of the workpieces in time, so that parameters in subsequent technology are convenient to adjust.

The invention provides a model method for optimizing the quality of cement raw meal, which includes the following steps: collecting data of various parameters involved in the production process of cement raw meal; integrating the collected data, sorting out target variables according to target problems, and inputting variables; Perform exploratory analysis on input variables and target variables to obtain available input variables; carry out corresponding feature engineering around each target variable to obtain different model-in features; select different regression algorithm models for each target variable to construct multiple models The rate value quality prediction model is continuously iteratively trained according to the evaluation effect; after the optimal evaluation model is deployed online, the model is updated with new data; Adjustment variables; find the optimal parameters through the grid search algorithm for the adjustable variables; the obtained optimal parameter values ​​are used as the output of the model, which can achieve the purpose of optimizing the quality of cement raw meal, and has strong universality.

The present invention provides a method and device for minimizing drive test MDT measurement. The method includes: according to the service transmission characteristics of the UE or the optimized processing of the service transmission of the UE, determine that the UE enters a special communication state that affects the accuracy of the MDT measurement result; Before the UE ends the special communication state, perform MDT measurement on the UE, and identify or adjust the obtained MDT measurement result, or suspend the MDT measurement on the UE. The present invention applies an appropriate processing method to optimize the processing of data service transmission or the influence of the service characteristics itself on the statistics of MDT measurement results, and minimize the statistics of drive test results as accurately as possible, which is beneficial to better realize network automation. optimization.

The invention provides a method for self-adaptive adjustment on symbol occupation amount of a PDCCH (Physical Downlink Control Channel). The method comprises the following steps of: A, periodically detecting the degree of satisfaction to cell service within a period of time; B, judging whether the degree of satisfaction to the cell service is lower than a first threshold, and if so, executing a step C, otherwise, returning back to execute the step A; C, calculating the occupation rate of cell bandwidth resources, judging whether the occupation rate of the cell bandwidth resources is lower than a second threshold, and if so, executing a step D, otherwise, executing a step E; D, increasing the symbol occupation amount of the PDCCH, and returning back to the step A; E, acquiring the quantity of current system users, and judging whether the user quantity is lower than a third threshold, and if so, executing a step F, otherwise, returning back to the step A; and F, reducing the symbol occupation amount of the PDCCH, and returning back to the step A.

The invention discloses a Beidou navigation self-optimizing device and a self-optimizing method of the Beidou navigation self-optimizing device, wherein the self-optimizing device comprises a Beidou navigation positioning terminal and a Beidou positioning platform in mutual communication, the Beidou navigation positioning terminal comprises a multisystem type signal receiving detection system and an information receiving and self-optimizing system, and the Beidou positioning platform comprises a Beidou signal information obtaining and processing system, a statistic algorithm and inquiry system and an information feedback system. The Beidou navigation self-optimizing device and the self-optimizing method have the advantages that the detection capability of the positioning platform on Beidou signals of the Beidou navigation positioning terminal can be improved, in addition, the regional statistics can be carried out by combining the geographical position and the Beidou signal intensity, the self-optimization of the Beidou navigation positioning terminal can be realized through signal detection and information feedback, the requirement on Beidou satellite signals is reduced, the terminal fitness is improved, and the geographic position information continuity and the signal detection precision under the condition of unstable Beidou signals are enhanced.

The invention relates to a capacity and coverage optimization method based on tabu search, which belongs to the technical field of wireless communication. The method comprises steps: according to the initial power of the small base station, an initial value for a capacity and coverage target optimization function is calculated; a tabu search algorithm is adopted for iterative optimization: a solution vector for enabling the target optimization function to be optimal in the neighborhood of the current solution is calculated; if the solution vector enables the target optimization function value to be the optimal so far or not the optimal so far but in a non tabu state, the solution vector is marked as the current solution and is added to a tabu list, or otherwise, the solution vector is eliminated from the neighborhood of the current solution and the sub step of calculating the optimal solution vector in the neighborhood is returned; and after iterative optimization, the transmitting power of the small base station is updated, and the capacity and coverage target optimization function value for the small base station system at the time is outputted. Self optimization of the capacity and the coverage of the small base station system can be realized, the calculation complexity for the iterative optimization is reduced, the network overall performance is optimized and enhanced, and global optimum can be achieved.