公开(公告)号：US10318931B2

公开(公告)日：2019-06-11

申请号：US16137558

申请日：2018-09-21

Applicant: Hefei University of Technology

Inventor： Qiang Zhang ,  Wanying Wang ,  Zhanglin Peng ,  Xiaonong Lu ,  Jun Pei ,  Yu Fan ,  Jianwen Yan

IPC: G06Q10/00 ,  G06N3/08

Abstract: The present invention discloses a method and system for determining a maintenance policy of a complex forming device. The method and system include: establishing a performance judgement standard; obtaining actual operation data; and determining a performance stage of the complex forming device, and determining the maintenance policy of the complex forming device. The establishing a performance judgement standard includes allocating data located at different performance stages to corresponding working condition units; setting data located at a normal performance stage to normal reference data, and calculating, by using a shortest path algorithm, distances between operation data of different working condition units in different functional modules and the normal reference data, to obtain performance statuses of the different functional modules. In view of this, by using the method and system provided in the present invention, a suitable maintenance policy can be selected for the complex forming device, thereby reducing maintenance costs.

公开(公告)号：US20190080270A1

公开(公告)日：2019-03-14

申请号：US16127124

申请日：2018-09-10

Applicant: Hefei University of Technology

Inventor： Xinbao Liu ,  Jun Pei ,  Shaojun Lu ,  Min Kong ,  Xiaofei Qian ,  Zhiping Zhou

IPC: G06Q10/06 ,  G05B19/418

Abstract: The present invention disclose a parallel machine batch scheduling method and system based on an improved artificial bee colony algorithm in a deterioration situation. With this method, a near-optimal solution for the parallel machine batch scheduling problem with deteriorating jobs and maintenance consideration can be obtained. The model of the present invention is derived from an actual production process with considerations of machine maintenance and batching as well as additional processing and maintenance time for jobs and machines over time in actual production. According to the present invention, the settlement of this problem is conducive to providing reliable decision support for the production and maintenance of an enterprise in complex real production conditions, thus reducing enterprise operation costs, increasing enterprise productivity, and promoting building of a modern smart factory of the enterprise.

公开(公告)号：US20180356802A1

公开(公告)日：2018-12-13

申请号：US15958932

申请日：2018-04-20

Applicant: Hefei University of Technology

Inventor： Xinbao Liu ,  Jun Pei ,  Min Kong ,  Shaojun Lu ,  Xiaofei Qian ,  Zhiping Zhou

IPC: G05B19/418

CPC classification number: G05B19/41865 ,  G05B2219/33081 ,  G05B2219/34379

Abstract: A method and a system for scheduling parallel machines based on hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm are provided to solve collaborative production and processing of jobs on a plurality of unrelated batch processing machines. The jobs are distributed to machines based on the normal processing time and deterioration situation of the jobs on different machines and are arranged. An effective multi-machine heuristic rule is designed according to the structural properties of an optimal solution for the single-machine problem, and the improved rule is applied to the improved shuffled frog leaping algorithm to solve this problem. The improvement strategy for the traditional shuffled frog leaping algorithm is to improve the local search procedure of the traditional frog leaping algorithm by introducing the variable neighborhood search algorithm. The convergence rate and optimization capacity of the original algorithm are thus improved.

公开(公告)号：US10571871B2

公开(公告)日：2020-02-25

申请号：US16056045

申请日：2018-08-06

Applicant: Hefei University of Technology

Inventor： Qiang Zhang ,  Shanlin Yang ,  Zhanglin Peng ,  Jun Pei ,  Xiaonong Lu

IPC: G05B13/02 ,  F15B21/08 ,  G06N7/00 ,  G05B19/18

Abstract: The present invention discloses an automatic loading system and method for service functions of a hydraulic machine. The loading system includes an acquiring portion for acquiring i service function component chains of a hydraulic machine, a determining portion for determining a demand sequence of the service function component chains used by a user within each preset time period in a measuring cycle based on the acquired service function component chains and a deciding portion for automatically loading a service function of the hydraulic machine in a next moment according to the demand sequence based on a current input operation command of the user. By adopting the automatic loading system or method provided by the present invention, response speed of intelligent services of the hydraulic machine can be improved.

公开(公告)号：US10402404B2

公开(公告)日：2019-09-03

申请号：US16127337

申请日：2018-09-11

Applicant: Hefei University of Technology

Inventor： Jun Pei ,  Wenjuan Fan ,  Xinbao Liu ,  Qiang Zhang ,  Min Kong ,  Shaojun Lu

IPC: G06F17/30 ,  G06F16/2453 ,  G06F9/48

Abstract: The present invention discloses a scheduling method and system based on a hybrid variable neighborhood search and gravitational search algorithm. The method includes: 1 setting parameters of the algorithm; 2 initializing an initial solution of the algorithm; 3 performing local search based on a gravitational search algorithm (GSA); 4 updating the initial solution; 5 determining whether an algorithm termination condition is satisfied; if yes, outputting the global optimal solution searched for by the algorithm, otherwise, returning to the step 3. According to the present invention, a near-optimal solution for the continuous batch processing problem based on position learning effect and linear starting time can be obtained, so that an enterprise can make full use of production resources thereof to the utmost extent, and thus reduce production costs and improve the enterprise service level and the customer satisfaction level.

公开(公告)号：US10401840B2

公开(公告)日：2019-09-03

申请号：US15958932

申请日：2018-04-20

Applicant: Hefei University of Technology

Inventor： Xinbao Liu ,  Jun Pei ,  Min Kong ,  Shaojun Lu ,  Xiaofei Qian ,  Zhiping Zhou

IPC: G05B19/418

Abstract: A method and a system for scheduling parallel machines based on hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm are provided to solve collaborative production and processing of jobs on a plurality of unrelated batch processing machines. The jobs are distributed to machines based on the normal processing time and deterioration situation of the jobs on different machines and are arranged. An effective multi-machine heuristic rule is designed according to the structural properties of an optimal solution for the single-machine problem, and the improved rule is applied to the improved shuffled frog leaping algorithm to solve this problem. The improvement strategy for the traditional shuffled frog leaping algorithm is to improve the local search procedure of the traditional frog leaping algorithm by introducing the variable neighborhood search algorithm. The convergence rate and optimization capacity of the original algorithm are thus improved.