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

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 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 embodiment of the invention discloses a paging parameter self-optimizing method in a long term evolution network and a system thereof. The method comprises that: an eNB monitors and counts paging loads and paging performance; the counting result of the paging loads and the paging performance obtained via counting is reported to an OAM system by the eNB according to the preset period or based on the preset event trigger; the OAM system confirms correction of paging parameters and the paging parameters needed to be adjusted according to the counting result of the paging loads and the paging performance; if the paging parameters are needed to be corrected, the OAM system adopts the preset optimization algorithm to calculate adjustment values of the paging parameters needed to be adjusted and sends a paging parameter adjustment notification message to the eNB; and the eNB adjusts the paging parameters needed to be adjusted according to the paging parameter adjustment notification message and notifies the adjusted paging parameters to a user terminal UE. Paging parameter self-optimization in the LTE network can be realized by the embodiment of the invention so that the network paging performance is effectively enhanced and artificial network optimization cost is reduced.

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.

The invention provides a generative adversarial network-based driving motor design method for an electric vehicle. The method solves the problem that the dynamic change of a working point of a drivingmotor for the vehicle does not have a typical working point in the driving process, and a generative adversarial network is used as an agent model to replace a finite element to calculate a motor efficiency distribution diagram, so that the energy loss under the automobile driving cycle working condition is further calculated, and the optimization speed under dense working points is increased. Inthe optimization iteration, the finite element simulation results of a new generation of individuals are collected, and the generative adversarial network is continuously retrained, so that the precision of the agent model is self-optimized along with the convergence of an evolutionary algorithm.

The invention provides a work parameter data updating method based on a mobile signaling switching chain. The method comprises the following steps of counting the number of switching times between each base station and other base stations within a certain period of time, calculating the longitude and latitude of each base station according to the existing information in the original work parametertable, checking whether the base station with the calculated longitude and latitude exists in the original work parameter table or not according to the original work parameter table, and if not, supplementing the longitude and latitude information of the base station into the work parameter table as a new base station; and on the basis of the work parameter table supplemented with the new base station information, performing total iterative operation, and updating the work parameter table according to a set condition after each calculation is completed until the data of the work parameter table is stable. According to the invention, a new base station can be discovered, and inaccurate information in the work parameters can be corrected, so that reliable guarantee is provided for the utilization of the work parameter data.

The invention discloses an air conditioner and a control method and a control device thereof. The control method of the air conditioner comprises the following steps that when an adjusting signal is received, whether the operating parameters of the air conditioner under the current operating condition are the same as the preset operating parameters are judged; the air conditioner is controlled torun for first preset time according to preset running parameters if the operating parameters of the air conditioner under the current operating condition are different from the preset operating parameters; the outdoor environment temperature and outdoor coil temperature in an outdoor unit are acquired; the air conditioner is controlled according to the exhaust temperature if the difference value between the outdoor coil temperature and the outdoor environment temperature is smaller than the first preset value; if the difference value between the outdoor coil temperature and the outdoor environment temperature is larger than or equal to the first preset value, the rotating speed of a first motor and/or a second motor is adjusted. According to the control method, self-learning and self-optimization of the air conditioner in the running process are realized, so that the air conditioner can play a larger capacity, and a higher energy efficiency grade is achieved.

The invention discloses a shape matching locating method based on a yin-yang discrete point sampling model. The method comprises the steps that first, shape contour templates are extracted from yin discrete point sampling images or yang discrete point sampling images in sample images; second, the extracted shape contour templates are subjected to optimization, and the best shape contour template is obtained; and third, yin discrete point sampling images or yang discrete point sampling images of practical images are obtained and are matched with the corresponding best shape contour template, so that images are recognized. In the third step, matching is achieved through a matching ratio operator for computing density estimation of the yin discrete point sampling images or the yang discrete point sampling images of the practical images and the corresponding best shape contour template. The invention further discloses a corresponding shape matching locating device. According to the method and device, the shape contour templates are extracted from the yin discrete point sampling images or the yang discrete point sampling images in the sample images, matching of the detected images is achieved, a shape to be detected is recognized, and quick extracting and accurate distinguishing of line-face combination shapes under a complex background in current image recognition are achieved.

The invention discloses an intelligent factory for semiconductor packaging test. With the intelligent factory adopted, materials can be automatically conveyed between the production stations of different process steps. The intelligent factory comprises a composite robot, production equipment, a material storage device, an equipment monitoring system, an automatic production order dispatching system and a material management system; the equipment monitoring system can monitor the equipment state and event information of the production equipment through an equipment communication interface and transmit a control instruction; the material management system can communicate with the material storage device to obtain material position and state information; the automatic production order dispatching system can generate a production order and a robot task according to the equipment state and event information and the material position and state information; and the composite robot can take out materials from the material storage device according to the robot task. Unmanned full-automatic chip packaging and testing are basically realized in the intelligent factory.

The invention relates to a method for improving the cutting utilization rate of glass. The method is implemented based on the size data of a target glass block and the size and defect data of an original glass sheet, and comprises the following steps: firstly, acquiring glass information, namely the data of a target glass sheet and the data of the original glass sheet, and processing and converting the glass information; and constructing a heuristic glass cutting optimization algorithm. The algorithm fully considers constraints from customers, physical characteristics of glass, insufficient production of float glass and the like, a cutting mode based on decision tree representation is creatively adopted, 1-cut, 1-plate and 1-solution are sequentially generated, and an optimization target is continuously changed through multiple loop iterations, and finally, an optimal cutting scheme is found, which is accurate and efficient.

According to the equal-diameter SOP setting method, system and equipment based on big data and the storage medium, basic source data of equal-diameter nodes in the single crystal drawing equal-diameter process are processed and screened and converted into a plurality of data sets easy to recognize and mark in the equal-diameter nodes, a model is established, analysis calculation and fitting optimization are carried out, and the equal-diameter SOP setting efficiency is improved. Obtaining an optimal growth rate model in an equal-diameter process; obtaining basic source data of the relative liquid opening distance of the equal-diameter nodes; the process parameters are screened and converted into process parameters easy to identify and mark; and obtaining the growth rate of the current node, comparing the growth rate with the optimal growth rate model, and adjusting the growth rate or the power of the main heater according to a comparison result. According to the technical scheme, equal-diameter SOP method setting can be effectively carried out in big data and deep learning, big data analysis is utilized, an optimization scheme is executed, big data and deep learning are organically combined, self-optimization of the equal-diameter SOP model is achieved, the making and revision efficiency of the equal-diameter SOP model is improved, and cost is reduced.

The invention discloses a PCI self-configuration and self-optimization method and device, according to which, neighbor cell lists in two hops of a base station site are collected and classified, self-judgment is carried out according to the change conditions of the site and neighbor cells of the site, whether PCI configuration needs to be optimized or not is judged, if PCI optimization needs to be carried out, a PCI value is determined through a PCI selection algorithm of a multivariate model on the basis of the neighbor cell lists in the two hops, PCI self-optimization is realized so as to reduce the occurrence of PCI conflicts and confusion, thereby improving the network performance of the base station site.

The invention discloses a management method of a wireless mesh network, the wireless mesh network comprises a master node and more than one slave node, and the method comprises the following steps: ona master node side, communicating with the slave nodes based on a network management protocol message, and performing one or any combination of first management of network heartbeat synchronization between the master node and the slave node, second management of routing information synchronization and third management of a network health state on the wireless grid network. A signaling channel isprovided for information synchronization, command transmission and updating among all the nodes in the network, self-management, self-maintenance, self-repair and self-optimization of the network arerealized, and the pain caused by the characteristics of excessively free networking mode, decentralization and complete equivalence of the status among all the nodes in the mesh network in the mesh network is solved.