CN102903017A - Optimized management method for trepanning task of digital shipbuilding - Google Patents
Optimized management method for trepanning task of digital shipbuilding Download PDFInfo
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Abstract
The invention discloses an optimized management method for a trepanning task of digital shipbuilding, which comprises a step of preparing trepanning data, a step of leading in and leading out the trepanning data, a step of post-processing trepanning, a step of allocating materials, a step of cutting in the field, a step of recording residual materials, and a step of outputting a trepanning drawing and a result report. According to the optimized management method for the trepanning task of the digital shipbuilding, the trepanning result is efficiently integrated and optimized, and the cutting idle running length is shortened; in addition, a basic intelligent management of trepanning is implemented.
Description
Technical field
The present invention relates to the shipbuilding field, especially a kind of three kinds of using in the cutting design process of jacking are optimized nesting method, specifically a kind of jacking task management method of digital shipbuilding.
Background technology
Jacking is very important link in the ship production design, and all sheet material all is from jacking, and cutting produces.Jacking result's quality directly has influence on the height of stock utilization, and finally can have influence on production cost and the economic benefit of enterprise.
Abroad to the research starting of the optimization problem of boats and ships jacking early, nineteen thirty Kantorovich has proposed one dimension jacking problem the earliest; Early 1960s, Gilmore etc. have proposed one dimension jacking scheme and two-dimentional sample layout optimizing problem, finished the sex work of laying a foundation of location problem, he has set up the mathematical model of single solution for diverse problems problem with linear programming, and finding the solution of linear problem be converted into a knapsack subproblem, the structure efficient algorithm of finding the solution knapsack problem then.Mainly used linear programming, dynamic programming and Knapsack function, this algorithm can be used for finding the solution the nothing constraint one two-dimentional jacking problem without the stage restriction; The seventies, numerous scholars were for one or several aspect algorithm and solution of Cutting Stock Problem so far.Domestic research for Cutting Stock Problem starts from the eighties in 20th century.Blanking Layout was begun one's study from the eighties in 20th century, mainly contain man-machine interaction method, border enciphered method and non-intersect diagnostic method etc., carry out the rotation of figure and translation to reach the purpose of optimal layout by man-machine interaction mode; Research to Rectangular Pieces Packing starts from the nineties in 20th century, mainly adopts heuristic, and the methods such as dynamic programming, integer programming method are finished the theoretical research that jacking is optimized.At present, the relatively more classical disposal route of the problem of boats and ships jacking optimization both at home and abroad is the rectangle envelope method, also claims two step method.Namely at first determine the best enclosure rectangle of component parts, then the scheme of these best enclosure rectangles with optimum is emitted on rectangle (or non-rectangle) sheet material.
The management of material then relates to many departments in the boats and ships enterprise, such as stock clerk, designing technique personnel, site operation personnel etc.The stock clerk is responsible for the work such as the storage, allotment of material, and designing technique personnel are responsible for the work such as Ship Design, jacking, and the site operation personnel are responsible for plate cutting, the work such as clout storage.Standoff distance is far away between these departments, in traditional Shipbuilding Mode, there is not information system to support, the transmittance process of information is very slow, can not feed back timely, cause the increase of ineffective time in the shipbuilding process, the complexity of management improves, finally increase manufacturing cost, reduced efficient and benefit.The jacking Optimal Management System one of digital shipbuilding has two main tasks, the firstth, finish on given sheet material, assembled arrangement mode according to optimum, arrange one group and have difform part, so that the rear remaining material of cutting is minimum, be that utilization factor is the highest, finish the optimization of jacking, second point is to carry out basic management to jacking, as generating jacking figure, jacking task form, the relevant informations such as cutting file, simultaneously with the result of jacking Parts List for example, availability ratio of the armor plate, the data such as clout operating position are carried out the tabulate statistics analysis.Jacking result's quality directly has influence on the height of stock utilization, and finally can have influence on production cost and the economic benefit of enterprise.
Summary of the invention
The jacking task management method that the purpose of this invention is to provide a kind of digital shipbuilding is realized management and the optimization process in the nest cutting design process to jacking in the shipbuilding process.
Technical scheme of the present invention is:
A kind of jacking task optimization management method of digital shipbuilding, it comprises: the importing of the preparation process of jacking data, jacking data and derive step, the rearmounted treatment step of jacking, material and join dish step, on-site cutting step, clout typing step, jacking drawing and the output step of form as a result.
The preparation process of jacking data of the present invention: jacking needs part data, material all in one piece data and clout data, and in a single day material enters the jacking process, and this material namely cannot by other staff, other tasks preparation as the jacking data, be and enter lock-out state.
The importing of jacking data of the present invention and derivation step: behind the jacking DSR, export consigns to third-party jacking software with data and carries out jacking; After third party's jacking software jacking finishes, the result of jacking by interface, is imported the result of jacking.
The rearmounted treatment step of jacking of the present invention: adopt the jacking optimization method, the jacking result who adjusts is optimized, last release tasks is also exported the jacking drawing.
In the importing of jacking data of the present invention and the derivation step, behind the jacking DSR, use the XML technology, data are exported in the XML file, recycle third-party automatic nest software and carry out automatic nest.
In the rearmounted treatment step of jacking of the present invention: adopt three kinds of jacking optimization methods, the jacking result who adjusts is optimized, comprise that common limit is optimized, gap bridge is optimized and the optimization of crossing the river.
Altogether limit of the present invention is optimized between the adjacent parts, if there is the identical limit of a segment length parallel and adjacent, then removable one of them part is by another part, so that adjacent this section limit overlaps, Cutting Length when utilizing the method can reduce the part cutting and cutting idle running length, Cost reduction.
The limit Optimization Steps is as follows altogether:
A) obtain 2 points that the user need to use picture,
B) seek starting point place part PA, return if can not find then,
C) seek terminal point place part PB, return if can not find then,
D) whether PA equals PB, if equal then to return,
E) existed in the optimization chained list, whether had PA and PB, returned if having then,
F) the crossing sideline of 2 lines of calculating and part PA, PB,
G) whether this sideline is parallel, if not parallel and relative angle then returns greater than 5 degree; If not parallel and angle is spent less than 5, then rotate PB so that the sideline is parallel,
H) compute parallel distance and vertical line direction are calculated the point that hangs down, the compute parallel distance, and moving parts PB, so that part PB overlaps with PA,
I) create PA1, PA2, PB1, PB2 in the some position of hanging down, add the crossing sideline of PA, PB, and be labeled as Optimum Points,
J) optimization object is added the cover flitch and optimize chained list.
If gap bridge of the present invention is optimized for close limit is arranged between the adjacent parts, but not parallel, then can be between its limit " bridging ", a plurality of parts can one during cutting lancinate, re-use manual unsolder bridging and get final product, the idle running length when cutting to reduce, the cutting efficiency of raising cutting machine.
The gap bridge Optimization Steps is as follows:
A) at first obtain 2 points that the user need to optimize,
B) seek starting point place part PA, return if can not find then,
C) seek terminal point place part PB, return if can not find then,
D) whether PA equals PB, if equal then to return,
E) existed in the optimization chained list, whether had PA and PB, returned if having then,
F) intersection point of 2 lines of calculating and part PA, PB frame,
G) set the gap bridge width, line is expanded as parallel lines, compute parallel and part frame intersection point PA1, PA2, PB1, PB2,
H) set up the part fundamental point, PA1, PA2 added between the part PA frame, and be labeled as Optimum Points, PB1, PB2 are added between the part PB frame, and be labeled as Optimum Points,
I) should optimize adding cover flitch and optimize chained list.
Of the present invention cross the river to be optimized between inner bore of part and the housing be connected, generally, inner bore of part is to separate cutting with housing, can increase cutting idle running length, cross the river optimize after, can reduce idle running length, lancinated endoporus and a housing.
The Optimization Steps that crosses the river is as follows:
A) at first obtain 2 points that the user need to optimize,
B) if start point/end point in part, then judge whether in inner bore of part, if then establishing starting point is A, another point is for B, otherwise returns,
C) judge B whether outside part, if then do not returning,
D) establishing the endoporus frame is EA, and the part housing is EB,
E) existed in the optimization chained list, whether had EA and EB, returned if having then,
F) intersection point of 2 lines of calculating and part EA, EB,
G) set the width that crosses the river, line is expanded as parallel lines, compute parallel and EA, EB intersection point PA1, PA2, PB1, PB2,
H) set up the part fundamental point, between on PA1, the PA2 adding inner bore of part EA, and be labeled as Optimum Points, PB1, PB2 are added between the part housing EB, and be labeled as Optimum Points,
I) should optimize adding cover flitch and optimize chained list.
Beneficial effect of the present invention:
Jacking task optimization management method of the present invention, intelligent degree is high, and the jacking loss is low, eliminates unnecessary waste in the shipbuilding process, raises the efficiency the reduction cost.Lean production is divided into effective time and ineffective time to the production overall process.In shipbuilding, the proportion that traditional mode accounts for lower ineffective time is far longer than the proportion of effective time.Production is exactly for the minimizing ineffective time of trying one's best, and could shorten product development cycle, improves productivity effect.
The present invention is in conjunction with management and produce all many-sided factors, for the material information management and optimization that are used for jacking in the current enterprise, in this method, finish all jacking work, and can carry out query and statistical analysis to the data of jacking, reduce the idle running length of cutting, improve the level of informatization of shipbuilding system, reduced enterprise cost, also reduced many unnecessary work.
Description of drawings
Fig. 1 is the comparison diagram that common limit is optimized.
Fig. 2 is the comparison diagram of passing a bridge and optimizing.
Fig. 3 is the comparison diagram that crosses the river and optimize.
Embodiment
The present invention is further illustrated below in conjunction with drawings and Examples.
The present invention mainly carries out basic management to jacking aspect following seven in the optimization of jacking management:
(1) preparation of jacking data: jacking needs part data, material all in one piece data and clout data, and in a single day material enters the jacking process, and this material namely cannot by other staff, other tasks preparation as the jacking data, be and enter lock-out state.The present invention can effectively add task data with material, so that the amount of material (area) is greater than or equal to the amount (area) of part, improve the success ratio of jacking, avoided producing because of the not enough operation of returning again jacking of material as far as possible, reduced ineffective time.
(2) importing of jacking data and derivation: the present invention with the jacking DSR after, export consigns to third-party jacking software with data and carries out jacking.After third party's jacking software jacking finishes, the result of jacking by interface, is imported and returns among the present invention, obtain the result of jacking.Reduce cost of development, also reduced unnecessary work.Be implemented as follows:
Behind the jacking DSR, use the XML technology, data are exported in the XML file, recycle third-party automatic nest software and carry out automatic nest.After jacking is finished, import again this method and be optimized and rearmounted processing.The tissue of task XML data is divided into four parts, part, material, the cover flitch, the data structure of organizational form and class is similar, record first the essential information of part, the database ID that comprises part, type, material, title etc., the graphical information of part is described again, graphical information adopts world coordinate point to describe, the material of material information recording materials, specification, type and database ID, the ID that database ID herein produces when being pre-adding material, not the ID of material itself, the management of itself and task is stored in database and task object, the essential information that cover flitch packets of information is drawn together the cover flitch, comprise ID, title, material, specification etc., this type of information is empty when deriving, filled in by third party software during importing, but ID and name are called default value (0 and null character string), when importing this method, dynamically generate and store assignment by system according to the existing value of database, except essential information, the cover flitch also has graph data, with the ID of part, skew, upset, rotation, sequence number represents the position of part in the cover flitch, stores the jacking result.Task data can verify whether be the data file of this task when importing, if not then forbid importing, if then only read the jacking result, in case part and material information are changed after derivation, all parts, material information are to be as the criterion in the native system database.Task XML file data tissue such as Fig. 2.
(3) jacking is rearmounted processes: in native system, simple manual jacking function can be arranged, comprise the increase, deletion, movement, rotation of part, the operation such as reverse.Simultaneously, this method has been used corresponding jacking optimized algorithm, and the jacking result who adjusts is optimized, and last release tasks is also exported the jacking drawing.
(4) material is joined stage disk: in the existing jacking flow process, joining dish is to file an application list by the jacking technician, carries out material by the warehouse keeper again and joins dish, and joining the main foundation of dish is to be down to the operating cost of crane minimum.The heap layer heap position information of store keeping module can be used as the foundation of joining dish, for storekeeper's reference.
(5) the on-site cutting stage: this method need to can on-the-spotly be adjusted jacking figure with the part authority opening of jacking to the on-site cutting workman, then directly uses up-to-date jacking result, produces the NC file and is used for cutting.
(6) clout management: the present invention can record the source of clout, and considers all available clouts in the process of next time nest cutting design, and according to its area, the corresponding method of the characteristics utilizations such as shape determines whether to use clout.
(7) jacking drawing and as a result report output: present jacking is form as a result, is to store take the TB form as medium, and form is lack of standardization, is difficult to query statistic, more difficult statistical study for multitask.The present invention is with all form storage data storehouses, and will upgrade in time when task the finishes relevant part of task, the state of material.
The optimization jacking algorithm that the present invention describes has realized that the common limit of part is optimized, pass a bridge optimization, the optimization of crossing the river.Below sketch the method and thought of three kinds of optimizations.
(1) limit is optimized altogether, and its design sketch as shown in Figure 1.
A) obtain 2 points that the user need to use picture,
B) seek starting point place part PA, return if can not find then,
C) seek terminal point place part PB, return if can not find then,
D) whether PA equals PB, if equal then to return,
E) existed in the optimization chained list, whether had PA and PB, returned if having then,
F) the crossing sideline of 2 lines of calculating and part PA, PB,
G) whether this sideline is parallel, if not parallel and relative angle then returns greater than 5 degree; If not parallel and angle is spent less than 5, then rotate PB so that the sideline is parallel,
H) compute parallel distance and vertical line direction are calculated the point that hangs down, the compute parallel distance, and moving parts PB, so that part PB overlaps with PA,
I) create PA1, PA2, PB1, PB2 in the some position of hanging down, add the crossing sideline of PA, PB, and be labeled as Optimum Points,
J) optimization object is added the cover flitch and optimize chained list.
(2) gap bridge is optimized, and its design sketch as shown in Figure 2.
A) at first obtain 2 points that the user need to optimize,
B) seek starting point place part PA, return if can not find then,
C) seek terminal point place part PB, return if can not find then,
D) whether PA equals PB, if equal then to return,
E) existed in the optimization chained list, whether had PA and PB, returned if having then,
F) intersection point of 2 lines of calculating and part PA, PB frame,
G) set the gap bridge width, line is expanded as parallel lines, compute parallel and part frame intersection point PA1, PA2, PB1, PB2,
H) set up the part fundamental point, PA1, PA2 added between the part PA frame, and be labeled as Optimum Points, PB1, PB2 are added between the part PB frame, and be labeled as Optimum Points,
I) should optimize adding cover flitch and optimize chained list.
(3) optimization of crossing the river, its design sketch as shown in Figure 3.
A) at first obtain 2 points that the user need to optimize,
B) if start point/end point in part, then judge whether in inner bore of part, if then establishing starting point is A, another point is for B, otherwise returns
C) judge that B is whether outside part, if then do not returning
D) establishing the endoporus frame is EA, and the part housing is EB,
E) existed in the optimization chained list, whether had EA and EB, returned if having then,
F) intersection point of 2 lines of calculating and part EA, EB,
G) set the width that crosses the river, line is expanded as parallel lines, compute parallel and EA, EB intersection point PA1, PA2, PB1, PB2,
H) set up the part fundamental point, between on PA1, the PA2 adding inner bore of part EA, and be labeled as Optimum Points, PB1, PB2 are added between the part housing EB, and be labeled as Optimum Points,
I) should optimize adding cover flitch and optimize chained list.
The part that the present invention does not relate to all prior art that maybe can adopt same as the prior art is realized.
Claims (10)
1. the jacking task optimization management method of a digital shipbuilding is characterized in that it comprises: the importing of the preparation process of jacking data, jacking data and derive step, the rearmounted treatment step of jacking, material and join dish step, on-site cutting step, clout typing step, jacking drawing and the output step of form as a result.
2. the jacking task optimization management method of digital shipbuilding according to claim 1, the preparation process that it is characterized in that described jacking data: jacking needs part data, material all in one piece data and clout data, in a single day material enters the jacking process, this material namely cannot by other staff, other tasks preparation as the jacking data, be and enter lock-out state.
3. the jacking task optimization management method of digital shipbuilding according to claim 1, it is characterized in that the importing of described jacking data and derive step: behind the jacking DSR, export consigns to third-party jacking software with data and carries out jacking; After third party's jacking software jacking finishes, the result of jacking by interface, is imported the result of jacking.
4. the jacking task optimization management method of digital shipbuilding according to claim 1 is characterized in that the rearmounted treatment step of described jacking: adopt the jacking optimization method, the jacking result who adjusts is optimized, last release tasks is also exported the jacking drawing; Described jacking optimization method comprises that common limit is optimized, gap bridge is optimized and the optimization of crossing the river.
5. the jacking task optimization management method of digital shipbuilding according to claim 4, it is characterized in that described altogether limit is optimized for: between the adjacent parts, if there is the identical limit of a segment length parallel and adjacent, then mobile one of them part is by another part, so that adjacent this section limit overlaps.
6. the jacking task optimization management method of digital shipbuilding according to claim 5 is characterized in that described altogether limit Optimization Steps is as follows:
A) obtain 2 points that the user need to use picture,
B) seek starting point place part PA, return if can not find then,
C) seek terminal point place part PB, return if can not find then,
D) whether PA equals PB, if equal then to return,
E) existed in the optimization chained list, whether had PA and PB, returned if having then,
F) the crossing sideline of 2 lines of calculating and part PA, PB,
G) whether this sideline is parallel, if not parallel and relative angle then returns greater than 5 degree; If not parallel and angle is spent less than 5, then rotate PB so that the sideline is parallel,
H) compute parallel distance and vertical line direction are calculated the point that hangs down, the compute parallel distance, and moving parts PB, so that part PB overlaps with PA,
I) create PA1, PA2, PB1, PB2 in the some position of hanging down, add the crossing sideline of PA, PB, and be labeled as Optimum Points,
J) optimization object is added the cover flitch and optimize chained list.
7. the jacking task optimization management method of digital shipbuilding according to claim 4, it is characterized in that described gap bridge is optimized for: if close limit is arranged between the adjacent parts, but not parallel, then between its limit, put up a bridge, one a plurality of parts that lancinate during cutting re-use manual unsolder and put up a bridge and get final product.
8. the jacking task optimization management method of digital shipbuilding according to claim 7 is characterized in that described gap bridge Optimization Steps is as follows:
A) at first obtain 2 points that the user need to optimize,
B) seek starting point place part PA, return if can not find then,
C) seek terminal point place part PB, return if can not find then,
D) whether PA equals PB, if equal then to return,
E) existed in the optimization chained list, whether had PA and PB, returned if having then,
F) intersection point of 2 lines of calculating and part PA, PB frame,
G) set the gap bridge width, line is expanded as parallel lines, compute parallel and part frame intersection point PA1, PA2, PB1, PB2,
H) set up the part fundamental point, PA1, PA2 added between the part PA frame, and be labeled as Optimum Points, PB1, PB2 are added between the part PB frame, and be labeled as Optimum Points,
I) should optimize adding cover flitch and optimize chained list.
9. the jacking task optimization management method of digital shipbuilding according to claim 4 is characterized in that described crossing the river is optimized for: inner bore of part is connected lancinated endoporus and a housing with housing.
10. the jacking task optimization management method of digital shipbuilding according to claim 9 is characterized in that the described Optimization Steps that crosses the river is as follows:
A) at first obtain 2 points that the user need to optimize,
B) if start point/end point in part, then judge whether in inner bore of part, if then establishing starting point is A, another point is for B, otherwise returns,
C) judge B whether outside part, if then do not returning,
D) establishing the endoporus frame is EA, and the part housing is EB,
E) existed in the optimization chained list, whether had EA and EB, returned if having then,
F) intersection point of 2 lines of calculating and part EA, EB,
G) set the width that crosses the river, line is expanded as parallel lines, compute parallel and EA, EB intersection point PA1, PA2, PB1, PB2,
H) set up the part fundamental point, between on PA1, the PA2 adding inner bore of part EA, and be labeled as Optimum Points, PB1, PB2 are added between the part housing EB, and be labeled as Optimum Points,
I) should optimize adding cover flitch and optimize chained list.
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| CN108465944B (en) * | 2018-03-19 | 2020-03-31 | 佛山市宏石激光技术有限公司 | Nesting path optimization method applied to pipe part common-edge cutting |
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| CN110961770A (en) * | 2019-12-30 | 2020-04-07 | 江苏大洋海洋装备有限公司 | Ship body numerical control plasma cutting instruction optimization method |
| CN112395691A (en) * | 2020-11-27 | 2021-02-23 | 江南造船(集团)有限责任公司 | Design method of ship port and starboard symmetrical structure and jacking system |
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