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1.发明申请公开(公告)号：US20190080271A1
公开(公告)日：2019-03-14
申请号：US16127350
申请日：2018-09-11
Applicant: Hefei University of Technology
Inventor： Jun PEI , Qingru SONG , Xinbao LIU , Shaojun LU , Qiang ZHANG , Wenjuan FAN , Min KONG
Abstract: The present invention discloses a coordinated production and transportation scheduling method and system based on an improved tabu search algorithm, and a storage medium. The method includes batching jobs, initializing algorithm parameters, generating an initial solution, generating a neighborhood solution set, performing mutation, crossover and selection on individuals, determining a candidate solution set; calculating a fitness value of an individual, updating the candidate solution set; updating a tabu list, and determining whether an algorithm termination condition is satisfied; if yes, outputting the global optimal solution; otherwise, returning to the step 4. The present invention is mainly aimed at the coordinated production and transportation batch scheduling problem with multiple manufacturers. The whole profit of an enterprise in the production and transportation phases can be maximized, and high quality services can be provided for customers of the enterprise with improved core competitiveness of the enterprise.
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2.发明申请公开(公告)号：US20190079975A1
公开(公告)日：2019-03-14
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
CPC classification number: G06F16/24542 , G06F9/4881 , Y02P90/30
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.
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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.
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公开(公告)号：US20180197192A1
公开(公告)日：2018-07-12
申请号：US15866439
申请日：2018-01-09
Applicant: Hefei University of Technology
Inventor： Qiang ZHANG , Shanlin YANG , Anning WANG , Zhanglin PENG , Xin Ni , Minglun REN , Xiaonong LU
IPC: G06Q30/02
CPC classification number: G06Q30/0205 , G06Q30/0201 , G06Q30/0203
Abstract: The present invention relates to a method and an apparatus for identifying a preferential region for a product. The method includes: obtaining comment texts of users in different regions for a to-be-analyzed product, and extracting product features of the to-be-analyzed product from the obtained comment texts; determining sentiment polarities of the users for the product features in the comment texts; calculating associations between sentiment orientations of the product features and the regions; extracting product features with regional preferences from the product features; and determining, for each extracted product feature with a regional preference, a preferential region for the product feature in view of the sentiment polarities. For content of fragmental and random online comments on the product, the present invention can provide a preferential region, enable an enterprise to formulate a more specific marketing strategy, and drive the enterprise to implement the regional product marketing strategy.
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Patent Agency Ranking
5.发明申请公开(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
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.
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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
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.
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7.发明申请公开(公告)号：US20190080244A1
公开(公告)日：2019-03-14
申请号：US16127361
申请日：2018-09-11
Applicant: Hefei University of Technology
Inventor： Jun PEI , Qingru SONG , Xinbao LIU , Shaojun LU , Qiang ZHANG , Wenjuan FAN
Abstract: The present invention relates to a production batch scheduling method and system based on improved variable neighborhood search and differential evolution algorithms as well as a storage medium. The method is executed by a computer, and includes: setting algorithm parameters; building a neighborhood structure; initializing a population; determining an initial solution; calculating a fitness value; locally searching; selecting a male parent; performing individual recessive variation; regenerating the population; updating the initial solution; updating a neighborhood structure of algorithmic search; and judging whether a terminal condition of algorithm execution is met, outputting a global optimal solution of the algorithmic search if so, otherwise, returning to Step 6. The present invention can obtain an approximate optimal solution in regard to a coordinated batch scheduling problem of production and transportation in the case of a manufacturer single machine based on a differential workpiece.
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公开(公告)号：US20190041809A1
公开(公告)日：2019-02-07
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
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.
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9.发明申请公开(公告)号：US20180357684A1
公开(公告)日：2018-12-13
申请号：US16104088
申请日：2018-08-16
Applicant: Hefei University of Technology
Inventor： Qiang ZHANG , Shanlin YANG , Anning WANG , Zhanglin PENG , Xin Ni , Minglun REN , Xiaonong LU
CPC classification number: G06Q30/0282 , G06F17/2785
Abstract: The present invention relates to a method for identifying a preferred region for a product and an apparatus and a storage medium thereof. The method is executed by computer. The method includes: obtaining comment texts of users in different regions for a to-be-analyzed product, and extracting product features of the to-be-analyzed product from the comment texts; determining sentiment polarities of the users for the product features in the comment texts; calculating associations between sentiment orientations of the product features and the regions; extracting product features with regional preferences from the product features; and determining, for each product feature with a regional preference, a preferred region for the product feature in view of the sentiment polarities. The present invention can provide preferred regions for on-line product comments, enable enterprises to formulate more specific marketing strategies, and drive enterprises to implement regional product marketing strategies.
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