CN111709573A - Optimal daughter board planning method and system for hot-cutting and shearing steel plate to be sheared - Google Patents
Optimal daughter board planning method and system for hot-cutting and shearing steel plate to be sheared Download PDFInfo
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- CN111709573A CN111709573A CN202010541154.7A CN202010541154A CN111709573A CN 111709573 A CN111709573 A CN 111709573A CN 202010541154 A CN202010541154 A CN 202010541154A CN 111709573 A CN111709573 A CN 111709573A
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 173
- 239000010959 steel Substances 0.000 title claims abstract description 173
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000005520 cutting process Methods 0.000 title claims abstract description 14
- 238000010008 shearing Methods 0.000 title claims abstract description 13
- 238000009826 distribution Methods 0.000 claims abstract description 29
- 230000011218 segmentation Effects 0.000 claims abstract description 9
- 238000004590 computer program Methods 0.000 claims description 13
- 238000005070 sampling Methods 0.000 claims description 9
- 230000001133 acceleration Effects 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000005096 rolling process Methods 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 238000001514 detection method Methods 0.000 abstract description 2
- 230000004044 response Effects 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 241001417523 Plesiopidae Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007730 finishing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
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- 238000011179 visual inspection Methods 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood
Abstract
The invention provides an optimal daughter board planning method and system for hot-cutting and shearing a steel plate to be sheared, wherein the method comprises the following steps: acquiring real-time data of an operating steel plate to be sheared, wherein the real-time data at least comprises image data of the steel plate to be sheared and parameter data for representing physical characteristics of the steel plate to be sheared; acquiring characteristic angular points of the steel plate to be sheared according to the image data, and further determining the position distribution of the steel plate to be sheared; acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model; generating a standard plate according to the parameter data, and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard plate; determining and outputting a segmentation position value of the optimal daughter board of the steel plate model according to the comparison result of the outline value and the maximum rectangle; the optimal daughter board subsection planning made by the method and the system of the invention has reliable detection and fast response speed, effectively avoids the production accidents of daughter board short length and the like, improves the production efficiency and reduces the cost.
Description
Technical Field
The invention relates to the field of electronics, in particular to an optimal daughter board planning method and system for hot-cutting and slitting a steel plate to be sheared.
Background
In the production process of medium and heavy plates, the steel plate to be sheared needs to be subjected to breaking operation according to the length of a mother plate, the plate type, the width of a cooling bed and the restriction conditions of a subsequent treatment process before the steel plate is cooled by the cooling bed.
Because the round heads, the wave tails and the like of the steel plates to be sheared are different in degree, the lengths of the steel plates to be sheared are different in degree of being close to the length values in the steel plate parameter data, and the widths of the edges of the incoming steel plates are different, at present, manufacturers mainly rely on operators to judge the incoming steel plates by visual inspection through experience, and carry out breaking shearing at the estimated positions, so that the subsequent process treatment is difficult, even unplanned products such as daughter boards, short rulers and the like are generated, in order to prevent production accidents of the type, production enterprises mainly rely on the solution of a method of reserving more allowance when cutting the plate blanks, so that a large amount of waste edges are generated in the subsequent finishing process, and the production cost of the enterprises is.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides an optimal daughter board planning method and system for hot-cutting and splitting a steel plate to be cut, so as to solve the above-mentioned technical problems.
The invention provides an optimal daughter board planning method for hot-cutting and slitting steel plates to be sheared, which comprises the following steps:
acquiring real-time data of an operating steel plate to be sheared, wherein the real-time data at least comprises image data of the steel plate to be sheared and parameter data used for representing physical characteristics of the steel plate to be sheared;
acquiring characteristic angular points of the steel plate to be sheared according to the image data, and further determining the position distribution of the steel plate to be sheared;
acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model;
generating a standard plate according to the parameter data, and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard plate;
and determining and outputting the optimal sub-plate segmentation position value of the steel plate model according to the comparison result of the outline value and the maximum rectangle.
Optionally, the parameter data includes: a real-time temperature value of the steel plate, a length value of the target daughter board and a width value of the target daughter board,
calculating the thermal expansion amount of the steel plate according to the real-time temperature value of the steel plate;
determining the theoretical length of each daughter board according to the length value of the target daughter board;
and generating a standard plate according to the theoretical length of each sub-plate and the thermal expansion amount of the steel plate.
Optionally, the RGB data distribution condition of the steel plate to be sheared is obtained, and the contour value of the steel plate to be sheared is obtained according to the position distribution of the steel plate to be sheared and the RGB data distribution condition of the steel plate to be sheared.
Optionally, when the length value of the maximum rectangle is greater than the length value of the steel plate model and the width value of the maximum rectangle is greater than the width value of the steel plate model, subtracting the length value of the steel plate model from the length value of the maximum rectangle to obtain a value serving as the sum of length margins, and determining the length margin of each daughter board according to the length ratio of the target daughter board length value of each daughter board in the steel plate model;
and when the length value of the maximum rectangle is less than or equal to the length value of the steel plate model, taking two thirds of the length value of the target daughter board as the sum of length margins, determining the length margin of each daughter board according to the length ratio of each daughter board to the steel plate model, and determining that the length margin of each daughter board is short in rolling.
Optionally, when the width value of the middle part of the steel plate model is greater than or equal to the width value of the maximum rectangle, and the width values of the head and the tail of the steel plate model are both greater than or equal to the width value of the maximum rectangle, dynamically adjusting the sampling position of the target daughter board to the head and the tail of the steel plate model, and correspondingly marking the planned position coordinate values of the daughter board;
when the width value of the middle part of the steel plate model is smaller than that of the maximum rectangle, and the width values of the head part and the tail part of the steel plate model are both larger than or equal to that of the maximum rectangle, planning the sampling position of any one daughter board to the middle part of the steel plate model, planning the sampling position to the daughter board, and making special marking on the coordinate value of the planned daughter board position, and determining the coordinate value as narrow rolling;
and determining and outputting a segmentation position value of the optimal daughter board of the steel plate model according to the length allowance of each daughter board and the sampling position.
Optionally, calculating a running velocity vector field and a running acceleration vector field of the plurality of feature angular points;
and establishing a dynamic coordinate system according to the running speed vector field and the running acceleration vector field, calibrating the position distribution of the steel plate to be sheared on the dynamic coordinate system and acquiring a corresponding position distribution numerical value.
Optionally, whether the steel plate model is segmented is judged according to the steel plate shearing threshold parameter.
The invention also provides an optimal daughter board planning system for hot-cutting and shearing of steel plates to be sheared, which comprises:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring real-time data of an operating steel plate to be sheared, and the real-time data at least comprises image data of the steel plate to be sheared and parameter data used for representing physical characteristics of the steel plate to be sheared;
the data processing module is used for acquiring characteristic angular points of the steel plates to be sheared according to the image data and further determining the position distribution of the steel plates to be sheared; acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model;
the optimal daughter board planning module is used for generating a standard board according to the parameter data and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard board; and determining and outputting the optimal sub-plate segmentation position value of the steel plate model according to the comparison result of the outline value and the maximum rectangle.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method of any one of the above.
The present invention also provides an electronic terminal, comprising: a processor and a memory;
the memory is adapted to store a computer program and the processor is adapted to execute the computer program stored by the memory to cause the terminal to perform the method as defined in any one of the above.
The invention has the beneficial effects that: the optimal daughter board planning method for the steel plate to be sheared by hot shearing and splitting provided by the invention performs optimal sectional planning according to the plate type of the steel plate fed in real time and the constraint conditions of the subsequent process, has the advantages of reliable detection, strong adaptability and high response speed, effectively avoids production accidents such as daughter board short length and the like, improves the production efficiency and reduces the cost.
Drawings
FIG. 1 is a schematic overall flow chart of an optimal daughter board planning method for hot-cutting and shearing a steel plate to be sheared according to an embodiment of the invention;
fig. 2 is a schematic specific flow chart of an optimal daughter board planning method for hot-cutting and shearing a steel plate to be sheared in the embodiment of the invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As shown in fig. 1, the optimal daughter board planning method for hot-cutting and splitting a steel plate to be cut in the embodiment includes:
s101: acquiring real-time data of an operating steel plate to be sheared, wherein the real-time data at least comprises image data of the steel plate to be sheared and parameter data used for representing physical characteristics of the steel plate to be sheared;
s102: acquiring characteristic angular points of the steel plate to be sheared according to the image data, and further determining the position distribution of the steel plate to be sheared;
s103: acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model;
s104: generating a standard plate according to the parameter data, and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard plate;
s105: and determining and outputting the optimal sub-plate segmentation position value of the steel plate model according to the comparison result of the outline value and the maximum rectangle.
As shown in fig. 2, the optimal daughter board planning method for hot-cutting and splitting a steel plate to be cut in the embodiment specifically includes:
s201: the method comprises the steps of collecting real-time data of an operating steel plate to be sheared, image data of the steel plate to be sheared and parameter data for representing physical characteristics of the steel plate to be sheared.
S202: acquiring a plurality of characteristic angular points on a steel plate to be sheared according to the real-time data, calculating an operation speed vector field and an acceleration operation vector field of the characteristic angular points, and determining the operation speed of the steel plate;
s203: establishing an ordinate axis in the running direction of the steel plate to be sheared, wherein the ordinate axis is a Y axis; calibrating the distribution positions of the head characteristic parameters, the edge characteristic parameters and the tail characteristic parameters of the steel plate to be sheared on the ordinate axis and acquiring corresponding values;
s204: according to the running speed vector field, the running acceleration vector field and the real-time data, an abscissa axis perpendicular to the running direction of the steel plate is constructed, the abscissa axis is an X axis, and a dynamic coordinate system is established by the X axis and a Y axis; calibrating the position distribution of the steel plate to be sheared on the abscissa axis on a dynamic coordinate system and acquiring corresponding numerical values;
s205: the method comprises the steps of obtaining the RGB data distribution condition of a steel plate to be sheared, obtaining the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared and the RGB data distribution condition of the steel plate to be sheared, and completing construction of a steel plate model.
S206: and judging whether the steel plate model is segmented or not according to the steel plate shearing threshold parameter.
S207: calculating the thermal expansion amount of the steel plate according to the actual temperature value of the steel plate;
s208: determining the theoretical length of each daughter board according to the length value of the target daughter board;
s209: generating a standard plate according to the theoretical length of each sub-plate and the thermal expansion amount of the steel plate; determining a maximum rectangle, wherein the size of the maximum rectangle is larger than that of the standard plate;
s210: and comparing the length value of the maximum rectangle with the length value of the steel plate model, and comparing the width value of the maximum rectangle with the width value of the steel plate model.
S211: when the length value of the maximum rectangle is larger than the length value of the steel plate model and the width value of the maximum rectangle is larger than the width value of the steel plate model, subtracting the length value of the steel plate model from the length value of the maximum rectangle, and taking the obtained value as the sum of length allowances; determining the length allowance of each daughter board according to the length ratio of the target length value of each daughter board to the steel plate model;
s212: when the length value of the maximum rectangle is smaller than or equal to the length value of the steel plate model, taking two thirds of the length value of the target daughter board as the sum of length allowances; and determining the length allowance of each daughter board according to the length ratio of the length of each daughter board to the length of the steel plate model, and determining the length allowance as the shortening.
S213: when the width values of the head and the tail of the steel plate model are both larger than or equal to the width value of the maximum rectangle, and the width value of the middle part of the steel plate model is larger than or equal to the width value of the maximum rectangle, dynamically adjusting the sampling position of the target daughter board to the head and the tail of the steel plate model, and correspondingly marking the planned position coordinate values of the daughter board;
s214: when the width values of the head and the tail of the steel plate model are both larger than or equal to the width value of the maximum rectangle, and the width value of the middle part of the steel plate model is smaller than the width value of the maximum rectangle, the coordinates of any daughter plate are planned to the middle part of the steel plate model, the sampling position is planned to the daughter plate, the planned coordinates of the positions of the daughter plates are specially marked, and the narrow rolling is determined;
s215: and determining and outputting the optimal sub-board segmentation position value of the steel plate model.
This embodiment still provides an optimal daughter board planning system of steel sheet that waits to cut is cut in hot-cutting branch, includes:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring real-time data of an operating steel plate to be sheared, and the real-time data at least comprises image data of the steel plate to be sheared and parameter data used for representing physical characteristics of the steel plate to be sheared;
the data processing module is used for acquiring characteristic angular points of the steel plates to be sheared according to the image data and further determining the position distribution of the steel plates to be sheared; acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model;
the optimal daughter board planning module is used for generating a standard board according to the parameter data and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard board; and determining and outputting the optimal sub-plate segmentation position value of the steel plate model according to the comparison result of the outline value and the maximum rectangle.
The present embodiment also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements any of the methods in the present embodiments.
The present embodiment further provides an electronic terminal, including: a processor and a memory;
the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the terminal to execute the method in the embodiment.
The computer-readable storage medium in the present embodiment can be understood by those skilled in the art as follows: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The electronic terminal provided by the embodiment comprises a processor, a memory, a transceiver and a communication interface, wherein the memory and the communication interface are connected with the processor and the transceiver and are used for completing mutual communication, the memory is used for storing a computer program, the communication interface is used for carrying out communication, and the processor and the transceiver are used for operating the computer program so that the electronic terminal can execute the steps of the method.
In this embodiment, the Memory may include a Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An optimal daughter board planning method for hot-cutting and shearing a steel plate to be sheared is characterized by comprising the following steps:
acquiring real-time data of an operating steel plate to be sheared, wherein the real-time data at least comprises image data of the steel plate to be sheared and parameter data used for representing physical characteristics of the steel plate to be sheared;
acquiring characteristic angular points of the steel plate to be sheared according to the image data, and further determining the position distribution of the steel plate to be sheared;
acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model;
generating a standard plate according to the parameter data, and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard plate;
and determining and outputting the optimal sub-plate segmentation position value of the steel plate model according to the comparison result of the outline value and the maximum rectangle.
2. A method for optimal subplate planning for hot slitting of a steel sheet to be sheared according to claim 1, wherein the parameter data comprises: a real-time temperature value of the steel plate, a length value of the target daughter board and a width value of the target daughter board,
calculating the thermal expansion amount of the steel plate according to the real-time temperature value of the steel plate;
determining the theoretical length of each daughter board according to the length value of the target daughter board;
and generating the standard plate according to the theoretical length of each sub-plate and the thermal expansion amount of the steel plate.
3. The optimal subplate planning method for hot-slitting a steel sheet to be slit according to claim 1,
the method comprises the steps of obtaining the RGB data distribution condition of a steel plate to be sheared, and obtaining the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared and the RGB data distribution condition of the steel plate to be sheared.
4. The optimal subplate planning method for hot-slitting a steel sheet to be slit according to claim 1,
when the length value of the maximum rectangle is larger than the length value of the steel plate model and the width value of the maximum rectangle is larger than the width value of the steel plate model, subtracting the length value of the steel plate model from the length value of the maximum rectangle to obtain a value serving as the sum of length allowances, and determining the length allowances of each daughter board according to the length ratio of the target daughter board length value of each daughter board in the steel plate model;
and when the length value of the maximum rectangle is less than or equal to the length value of the steel plate model, taking two thirds of the length value of the target daughter board as the sum of length margins, determining the length margin of each daughter board according to the length ratio of each daughter board to the steel plate model, and determining that the length margin of each daughter board is short in rolling.
5. The optimal subplate planning method for hot-slitting a steel sheet to be slit according to claim 4,
when the width value of the middle part of the steel plate model is larger than or equal to the width value of the maximum rectangle, and the width values of the head part and the tail part of the steel plate model are both larger than or equal to the width value of the maximum rectangle, dynamically adjusting the sampling position of a target daughter board to the head part and the tail part of the steel plate model, and correspondingly marking the planned position coordinate values of the daughter board;
when the width value of the middle part of the steel plate model is smaller than the width value of the maximum rectangle, and the width values of the head part and the tail part of the steel plate model are both larger than or equal to the width value of the maximum rectangle, planning the sampling position of any one daughter board to the middle part of the steel plate model, planning the sampling position to the daughter board, and making special marks on the coordinate values of the planned daughter board positions, and determining the daughter board positions as narrow rolling.
6. The optimal subplate planning method for hot-slitting a steel sheet to be slit according to claim 1,
calculating a running velocity vector field and a running acceleration vector field of the characteristic angular points;
and establishing a dynamic coordinate system according to the running speed vector field and the running acceleration vector field, calibrating the position distribution of the steel plate to be sheared on the dynamic coordinate system and acquiring a corresponding position distribution numerical value.
7. The optimal daughter board planning method for hot-slicing splitting to cut steel plates according to claim 6, wherein whether the steel plate model is sliced is judged according to a steel plate shearing threshold parameter.
8. An optimal daughter board planning system for hot slitting and shearing a steel plate to be sheared is characterized by comprising:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring real-time data of an operating steel plate to be sheared, and the real-time data at least comprises image data of the steel plate to be sheared and parameter data used for representing physical characteristics of the steel plate to be sheared;
the data processing module is used for acquiring characteristic angular points of the steel plates to be sheared according to the image data and further determining the position distribution of the steel plates to be sheared; acquiring the outline value of the steel plate to be sheared according to the position distribution of the steel plate to be sheared, and constructing a steel plate model;
the optimal daughter board planning module is used for generating a standard board according to the parameter data and determining a maximum rectangle for judgment, wherein the size of the maximum rectangle is larger than that of the standard board; and determining and outputting the optimal sub-plate segmentation position value of the steel plate model according to the comparison result of the outline value and the maximum rectangle.
9. A computer-readable storage medium having stored thereon a computer program, characterized in that: the program when executed by a processor implements the method of any one of claims 1 to 7.
10. An electronic terminal, comprising: a processor and a memory;
the memory is for storing a computer program and the processor is for executing the computer program stored by the memory to cause the terminal to perform the method of any of claims 1 to 7.
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| CN116167505A (en) * | 2023-01-09 | 2023-05-26 | 中交公路长大桥建设国家工程研究中心有限公司 | Method and system for cutting steel bar sleeve |
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