51results about How to "Reduce trial and error" patented technology

The invention discloses a front longitudinal beam anti-collision performance design method for a passenger vehicle and aims at solving the problems that when the traditional trial-and-error method is used for designing the front longitudinal beam of a car in the prior art, a computer simulation model needs to be repeatedly modified, the testing needs to be repeatedly carried out, and the like. The front longitudinal beam anti-collision performance design method for the passenger vehicle comprises the following steps that 1, the average crushing counter force expression (shown as the accompanying drawing) of a multi-right-angle cross section thin wall beam is deduced, in the expression, Pm is the average crushing counter force, the unit of the Pm is kN, n is the number of the cross section right angles of the multi-right-angle cross section thin wall beam, M0 is the unit length plastic limit bending moment, the unit of M0 is N.mm, l is the cross section circumference of the multi-right-angle cross section thin wall beam, the unit of the l is mm, h is the wall thickness of the multi-right-angle cross section thin wall beam, and the unit of the h is mm; 2, the cross section of the crushing deformation part of the front longitudinal beam is designed; 3, the average bending moment expression (Mm=(0.3-0.5)Mmax) of a rectangular cross section thin wall beam is deduced, in the expression, Mm is the average bending moment of the rectangular cross section thin wall beam, and the unit of the Mm is N.mm; and 4, the cross section of the bending deformation part of the front longitudinal beam is designed.

The invention discloses an induction control method for semi-trailer train linear back off. According to the linear back-off requirements of a driver, the steering wheel rotation direction and rotation angle prompt is provided for the driver, and accordingly the driver is assisted in linear back-off operation completing. By means of the induction control method, the requirement for the back-off skill of the driver can be lowered, the back-off accidents are reduced, and meanwhile the back-off efficiency is improved.

The invention provides a plan implementation method and apparatus based on predicted dose guidance and Gaussian process optimization, and relates to the field of radiotherapy technology. The method comprises: calculating a predicted dose of a case by using a dose prediction model; calculating a plan score of the predicted dose according to the scoring rule as an optimal plan score; determining a plurality of sets of plan parameters based on the a priori database according to organ anatomy information; calculating corresponding plan scores of the plurality of sets of plan parameters, and constituting a Gaussian data set; and based on the Gaussian data set, calculating new plan parameters by using the Gaussian process, calculating the corresponding plan scores, adding the calculated scores to the Gauss data set, iteratively executing the step, and finally calculating the intensity-modulated optimization results under the plan parameters corresponding to the highest score in the Gauss data set. By the use of the predictive model to predict the dose distribution of the case to optimize the guidance, the quality of the plan is guaranteed, and by the use of the Gaussian process to calculate the posterior distribution based on the a priori data, the number of trial and error is reduced, thereby speeding up the optimization.

The invention discloses a three-coordinate automatic detection realizing method of a belt back-off electrode and overcomes the defect that existing three-coordinate measuring automatic detection cannot generate interference-free measuring traces of a measuring probe and the belt back-off electrode. Influence of existence of an electrode back-off face on generation of an three-coordinate automaticdetection program is fully taken into consideration, the defect that measuring probe measuring traces automatically generated by existing three-coordinate detection programs interfere with a to-be-detected belt back-off electrode is overcome, and automatic generation of a belt back-off electrode measuring program can be realized by utilizing the method. Actual testing proves that interference-freemeasuring traces of the measuring probe of a three-coordinate detector and the belt back-off electrode can be acquired conveniently and quickly, and needs on accurately measuring shape and size of the belt back-off electrode of the three-coordinate detector are met.

The invention relates to a three-dimensional dose distribution prediction method based on an adaptive correction adversarial network, and provides a three-dimensional dose distribution prediction model based on the adaptive correction adversarial network by taking a generative adversarial network as a basic architecture and utilizing an ensemble learning idea. A dose distribution map as close as possible to target dose distribution is generated by using the idea of mutual game between a generator and a discriminator in the generative adversarial network. At the same time, the adaptive correction network is trained to fit a residual plot between generated and real dose distribution maps. The dose distribution map synthesized by the generator and the residual plot obtained by the adaptive correction network are superposed to obtain more ideal corrected dose distribution conforming to individual differentiation. According to the method, mapping between dosimetry characteristics and a geometric anatomical structure can be effectively learnt, and the network has higher robustness.

An intelligent arrangement and assembly method of the feature numbers based on radiation units comprises the following steps: A) grouping the radiation units to be assembled, photographing and measuring the radiation units one by one, numbering the radiation units one by one, and calculating a required mouth edge center distance and a mouth edge margin; B) sequencing, numbering and marking serialnumbers of to-be-assembled arrangement positions on a radiation unit array assembly bottom plate; C) enabling an upper computer to carry out radiation unit assembling arrangement planning; D) enablingthe upper computer to determine a radiation unit arrangement planning optimization result; and E) enabling a robot to automatically and intelligently arrange the radiation units according to the position serial number of the bottom plate, the arrangement planning optimization result and the feature numbers and assemble the radiation units into an array according to the output data of the upper computer. The one-time assembly success rate and the efficiency of the whole assembly process are improved, the assembly preparation period is greatly shortened, and the assembly precision and consistency of the radiation unit are greatly improved; and completely efficient and automatic operation can be achieved for large-scale radiation unit array arrangement and assembly which are difficult to achieve by manpower.

The invention discloses a mechanical product personalized design mode matching method oriented to the Internet + environment. According to the method, a user order is quantified into a feature vector,a mechanical product is decomposed into modules, a historical case library is constructed, and a design mode scheme matched according to the user order is obtained according to the probability that auser is satisfied when different design modes are adopted by all the modules of the mechanical product. From the perspective of probabilistic, a personalized design mode matching method of each design module in product customization design is researched according to the Bayesian theorem; the user satisfaction probability values of different design modes adopted by different design modules are calculated, the design mode corresponding to each design module is matched, the trial and error situation when a designer selects the design mode according to design experience is reduced, and the designefficiency is improved; and the intelligence and operability in the personalized design mode matching process are improved.

The invention relates to a gear shifting simulation method of a transmission, in particular to a mechanical transmission static gear shifting simulation method based on AMESim, and aims to solve the problems that in the design process of an existing mechanical transmission, gear shifting force of all positions in the whole gear shifting process cannot be accurately predicted, a whole gear shifting force curve cannot be accurately calculated, and the gear shifting force cannot be accurately predicted. The design period of gear shifting related parts of the transmission is long, and the cost is increased. The method comprises the steps that a mechanical transmission static gear shifting process dynamic simulation model based on AMESim is established; initial design parameters of three grooves of the mechanical transmission and objective evaluation indexes of a gear shifting force curve are obtained; inputting the initial design parameters into a dynamic simulation model for simulation; iterative simulation is continuously carried out according to the objective evaluation indexes of the gear shifting force curve, and an optimized matching scheme of the groove size and the spring parameters is obtained.

The invention relates to a task scheduling method and device, equipment and a storage medium, and the method comprises the steps: obtaining a relation graph used for reflecting the dependency relationship between tasks from a relation graph editing region of a visual configuration interface; analyzing the relation graph, and generating a configuration file matched with the task scheduling system; after the configuration file is uploaded to a task scheduling system, obtaining scheduling information of each task from a scheduling information configuration area of the visual configuration interface; and sending the scheduling information to a task scheduling system, so that the task scheduling system executes task scheduling on each task based on the configuration file and the scheduling information. According to the relation graph editing area and the scheduling information configuration area of the visual configuration interface, configuration of scheduling information and the dependency relation used for analyzing the configuration file in the one-time configuration process is achieved, and therefore the configuration process is simple.

The invention discloses a monitoring system with a photoelectric sensor and a monitoring method thereof.The monitoring system comprises an optical signal receiving module, a photoelectric conversion module, a data processing module and an output control module, and the optical signal receiving module transmits received optical signals to the photoelectric conversion module; the photoelectric conversion module converts the optical signal into an electric signal, the electric signal is transmitted to the data processing module after being processed, the electric signal is converted into a digital signal through the data processing module, and the optical signal received by the optical signal receiving module changes along with the change of a measured physical quantity. The optical signal is converted into a digital signal, the digital signal is processed by the data processing module, the change rule of the measured physical quantity is displayed through a state change curve by the display device, and the monitoring system can be suitable for distance monitoring of high-precision equipment; and whether the appearance color of the product is qualified can be detected.