公开(公告)号：US20190095876A1

公开(公告)日：2019-03-28

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：US20190041839A1

公开(公告)日：2019-02-07

申请号：US16053994

申请日：2018-08-03

Applicant: Hefei University of Technology

Inventor： Qiang ZHANG ,  Shanlin YANG ,  Wanying WANG ,  Zhanglin PENG ,  Xiaonong LU ,  Jun PEI

IPC: G05B23/02

Abstract: Disclosed is an apparatus for troubleshooting fault component in equipment and a method thereof. The device includes portions for building a fault-component-sensor Bayesian belief network model by acquiring component state-abnormal and data of fault maintenance of the equipment, and for calculating probabilities of actual component abnormality when a sensor connected with an component detects component abnormality based on the model; and arranging the probabilities in a descending order to obtain the arranged probabilities of actual component abnormality, and the top-arranged component being the one to be troubleshot first. Namely, a relational expression among the fault, the component and the sensor may be systematically built by adopting the method or the apparatus provided by the present disclosure, and the most-likely-failing component in an equipment may be quickly detected according to the expression, thereby improving troubleshooting efficiency.

公开(公告)号：US20180118033A1

公开(公告)日：2018-05-03

申请号：US15794989

申请日：2017-10-26

Applicant: Hefei University of Technology

Inventor： Xiaonong LU ,  Qiang ZHANG ,  Wanying WANG ,  Anning WANG ,  Shanlin YANG ,  Minglun REN ,  Zhanglin PENG

IPC: B60L3/12 ,  B60L11/18

CPC classification number: B60L3/12 ,  B60L11/1861 ,  B60L2240/12 ,  B60L2240/421 ,  B60L2240/547 ,  B60L2240/549 ,  B60L2240/62 ,  B60L2240/64 ,  B60L2240/662 ,  B60L2260/52 ,  B60L2260/54

Abstract: The present invention relates to a method and device for on-line prediction of remaining driving mileage of an electric vehicle. The method comprises: acquiring in-transit data and driving environment data of the electric vehicle which is driving; calculating the power consumption per mileage of the electric vehicle in the current case by using the in-transit data and the driving environment data in combination with a power consumption rate data model; predicting the remaining driving mileage of the electric vehicle based on the power consumption per mileage. The device provided by the present invention is implemented on the basis of the method above. The prediction result of the present invention is more accurate, to avoid the problem that the power is exhausted due to exceeding the mileage expected by a user so that the electric vehicle cannot continue to drive, thereby improving the driving experience of the user.