CN113761635B - Method for determining processing shape of steel bar and method for processing steel bar - Google Patents
Method for determining processing shape of steel bar and method for processing steel bar Download PDFInfo
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 86
- 239000010959 steel Substances 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 51
- 239000002994 raw material Substances 0.000 claims abstract description 61
- 238000013507 mapping Methods 0.000 claims abstract description 7
- 229910001294 Reinforcing steel Inorganic materials 0.000 claims description 33
- 238000005452 bending Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 10
- 230000003014 reinforcing effect Effects 0.000 claims description 8
- 238000012550 audit Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
- 238000003672 processing method Methods 0.000 abstract description 3
- 238000003754 machining Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 230000002787 reinforcement Effects 0.000 description 5
- 239000002699 waste material Substances 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention provides a method for determining the processing shape of a steel bar, which comprises the following steps: obtaining target characteristics of the processing shape of the steel bar; describing the target characteristics through parameter strings connected in sequence; wherein the parameter string includes a graphic code parameter and a size parameter; and storing the parameter strings into a database, wherein the parameter strings have a one-to-one mapping relation with the target codes of the target shapes. The invention also provides a processing method of the steel bar, comprising the following steps: obtaining a plurality of parameter strings in batches; determining the length of a first processing section according to the lap joint code parameter and the straight rib length parameter in the first parameter string; searching a first raw material steel bar matched with the length of the processing section from a raw material steel bar database; and under the condition that the first raw material steel bars are searched, processing the first raw material steel bars according to the first parameter string.
Description
Technical Field
The invention relates to the field of computer-aided machining, in particular to a method for determining a machining shape of a reinforcing steel bar and a reinforcing steel bar machining method.
Background
Before engineering project construction, concrete length and shape of the steel bars in the concrete are counted, the steel bars are classified according to the length and shape, and a steel bar counting processing table of each length and shape is output to a processing worker for processing. The existing steel bar statistical method is mainly realized by hard coding the known graph of the user, namely, the possible steel bar shapes are exhausted in advance, and a code is defined for each steel bar shape. The hard coding mode has the defects that all scenes of a user cannot be covered, a large number of steel bar shape codes are required to be defined every time one business scene is added, corresponding steel bar shape statistical codes are written based on the newly added steel bar shape codes, the workload is large, the efficiency is low, and the method cannot be suitable for large-batch steel bar machining operation.
Disclosure of Invention
The invention aims to provide a reinforcing steel bar processing shape determination scheme with strong expansibility and higher efficiency and a technical scheme for processing reinforcing steel bars according to the determined shape so as to solve the problems in the prior art.
In order to achieve the above object, the present invention provides a method for determining a machined shape of a reinforcing bar, comprising:
acquiring target characteristics of a machined shape of the steel bar, wherein the target characteristics are used for representing the machined target shape of the steel bar;
describing the target characteristics through parameter strings connected in sequence; wherein the parameter string includes a graphic code parameter for characterizing a particular graphic style contained in the target shape and a size parameter for characterizing length information and angle information contained in the target shape;
and storing the parameter strings into a database, wherein the parameter strings have a one-to-one mapping relation with the target codes of the target shapes.
According to the method for determining the processing shape of the steel bar, the graphic code parameters comprise a hook code parameter, a straight bar code parameter and a lap joint code parameter; the dimension parameters comprise straight rib length parameters and bending angle parameters; the step of describing the target feature through the parameter string connected in sequence comprises the following steps:
representing end hook shapes in the target shape with the hook code parameters;
the length data of the straight line shape in the target shape is represented by the straight bar length parameter;
using the bending angle parameter to represent angle data between two straight line shapes in the target shape;
and representing the connection mode between two straight line shapes in the target shape by using overlap joint code parameters.
The method for determining the processing shape of the steel bar according to the invention is characterized by further comprising the following steps after the step of storing the parameter string into a database:
and sending the parameter string to a remote server for an auditing party to audit or edit the target shape corresponding to the parameter string.
According to the method for determining the processing shape of the steel bar provided by the invention, the step of auditing or editing the target shape corresponding to the parameter string by the auditing party comprises the following steps:
receiving and analyzing the parameter string;
displaying the target shape of the steel bar after processing based on the parameter string;
and checking or editing the graphic code parameters or the size parameters in the parameter string according to the target shape.
In order to achieve the above purpose, the invention also provides a method for processing the steel bar, which comprises the following steps:
obtaining a plurality of parameter strings in batches;
determining the length of a first processing section according to the lap joint code parameter and the straight rib length parameter in the first parameter string; the length of the first processing section refers to the length of raw material steel bars required for realizing all or part of the target shapes corresponding to the first parameter string; wherein the first parameter string is any one of the plurality of parameter strings;
searching a first raw material steel bar matched with the length of the processing section from a raw material steel bar database;
and under the condition that the first raw material steel bars are searched, processing the first raw material steel bars according to the first parameter string.
The processing method of the steel bar provided by the invention further comprises the following steps:
determining a second parameter string from the plurality of parameter strings, wherein the sum of the second processing section length and the first processing section length in the second parameter string is matched with the initial length of the raw material steel bar under the condition that the first raw material steel bar is not searched; the length of the second processing section refers to the length of the raw material steel bar required for realizing all or part of the target shape corresponding to the second parameter string; wherein the second parameter string is any one of the plurality of parameter strings;
and processing a second raw material reinforcing steel bar according to the first parameter string and the second parameter string, wherein the second raw material reinforcing steel bar has the initial length.
In order to achieve the above object, the present invention also provides a device for determining a processing shape of a reinforcing bar, comprising:
the characteristic acquisition module is suitable for acquiring target characteristics of the machined shape of the steel bar, wherein the target characteristics are used for representing the machined target shape of the steel bar;
the parameter string module is suitable for describing the target characteristics through sequentially connected parameter strings; wherein the parameter string includes a graphic code parameter for characterizing a particular graphic style contained in the target shape and a size parameter for characterizing length information and angle information contained in the target shape;
and the data storage module is suitable for storing the parameter strings into a database, wherein the parameter strings have a one-to-one mapping relation with the target codes of the target shapes.
In order to achieve the above object, the present invention also provides a reinforcing bar processing apparatus, comprising:
the parameter string acquisition module is suitable for acquiring the plurality of parameter strings in batches;
the length determining module is suitable for determining the length of the first processing section according to the lap joint code parameter and the straight rib length parameter in the first parameter string; the length of the first processing section refers to the length of raw material steel bars required for realizing all or part of the target shapes corresponding to the first parameter string; wherein the first parameter string is any one of the plurality of parameter strings;
the raw material matching module is suitable for searching first raw material steel bars matched with the length of the processing section from a raw material steel bar database;
and the processing module is suitable for processing the first raw material steel bars according to the first parameter string under the condition that the first raw material steel bars are searched.
To achieve the above object, the present invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
To achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above method.
The invention provides a method for determining the processing shape of a steel bar and a method for processing the steel bar, and provides a scheme for accurately describing the processing shape of the steel bar and rapidly matching raw steel bars. In one aspect, the present invention can accurately describe any machined shape by including a parameter string of graphic code parameters and dimensional parameters. When the processing shape is changed, only the graphic code parameters and the size parameters in the parameter string are required to be modified, so that the method has strong expandability and can be suitable for different application scenes. On the other hand, the invention can quickly match proper raw material reinforcing steel bars according to the length parameters in the parameter string, thereby avoiding raw material waste and improving reinforcing steel bar processing efficiency.
Drawings
Fig. 1 is a flowchart of a first embodiment of a method for determining a shape of a reinforcing bar according to the present invention;
fig. 2 is a schematic view of a target shape after processing a reinforcing bar according to the first embodiment of the present invention;
FIG. 3 is a schematic flow chart of auditing or editing a target shape according to an embodiment of the invention;
fig. 4 is a schematic view of a program module of a first embodiment of the apparatus for determining a shape of a reinforcing steel bar according to the present invention;
fig. 5 is a schematic hardware structure of a first embodiment of the apparatus for determining a shape of a reinforcing steel bar according to the present invention;
fig. 6 is a flowchart of a second embodiment of the method for processing reinforcing steel bars according to the present invention;
fig. 7 is a schematic view of a program module of a second embodiment of the reinforcement bar processing apparatus according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present embodiment provides a method for determining a processing shape of a steel bar, which includes the following steps:
and S100, obtaining target characteristics of the machined shape of the reinforcing steel bar, wherein the target characteristics are used for representing the machined target shape of the reinforcing steel bar.
Those skilled in the art will appreciate that the raw rebar before processing is in the shape of a straight cylinder of a particular length. Based on different requirements, the raw material steel bars can be processed into various target shapes with different hooks, bending angles or lengths, and the hooks, the bending angles or the lengths can be used as target characteristics for representing the target shapes. Fig. 2 shows a schematic view of a target shape after the rebar is machined. As shown in fig. 2, the target shape includes a circular arc hook with symmetrical two ends, a vertical line segment with two ends connected with the circular arc hook respectively, and a horizontal line segment connected with the two vertical line segments, wherein the horizontal line segment is formed by overlapping two horizontal line segments at the middle position. The arc hooks, vertical line segments, horizontal line segments, line segment lengths, angles, overlapping modes and the like in the target shape can be used as target features, and the target features in fig. 2 specifically include: target feature 1-180 degree hook at the beginning section; target feature 2-a rebar bending section of 500 a length; the target feature is rotated 3-90 degrees counterclockwise; target feature 4-straight line segment of length 1000; target feature 5-straight thread lap; target feature 6-a straight line segment of length 2000; target feature 7-rotated 90 degrees counterclockwise; target feature 8-a rebar bending section of 500 a length; target feature 9-end 180 degree hook.
S200, describing the target features through parameter strings connected in sequence; wherein the parameter string includes a graphic code parameter for characterizing a particular graphic style contained in the target shape and a size parameter for characterizing length information and angle information contained in the target shape.
The present embodiment describes the target features in the above by means of the graphic code parameters and the size parameters. Wherein the graphic code parameter refers to an identification code corresponding to a specific graphic, and the specific graphic can comprise hooks, broken lines, straight lines, overlapping graphic representations and the like. These specific patterns may be pre-stored in a pattern code database, where each specific pattern has a unique identification code. Thus, when a graphic code is known, the specific graphic shape corresponding to the graphic code can be quickly determined. The dimensional parameters may be represented by text elements, and may specifically include hook radians, fold line angles, straight line segment lengths, and the like. The target shape of the steel bar processing can be accurately and completely represented through the graphic code parameters and the dimension parameters which are connected in sequence.
Still taking fig. 2 as an example, the corresponding parameter string may include four parameters, which are hooks, segments of rebar, text elements, and overlapping illustrations, respectively. The hooks include 180 degree hooks, 135 degree hooks, 90 degree hooks, etc. each of which may include different directions, such as up-bending, down-bending, left-bending, right-bending, etc., and in summary, each hook corresponds to a specific hook pattern and a corresponding unique pattern code, and the hook pattern and the unique identification code may be stored in a database in a one-to-one correspondence. The text elements may include lengths, angles, other labels, etc., the overlap graphic may include universal overlap, threads, ligature tape hooks, etc., as well as each overlap graphic corresponding to a particular graphic and corresponding unique graphic code and stored in a database.
For the example of fig. 2, a single linked list of parameter strings may be integrated according to a preset rule to describe the shape of a particular bar after processing: hook → rebar segment (length text) → angle text → rebar segment (length text → overlap → length text) → angle text → rebar segment (length text) → hook.
And S300, storing the parameter strings into a database, wherein the parameter strings have a one-to-one mapping relation with the target codes of the target shapes.
In this embodiment, each parameter string corresponds to a target shape of the processed steel bar. In the embodiment, a corresponding target code is added for each parameter string, so that different processed steel bars can be distinguished in the later processing process, and matching and statistics of corresponding raw materials can be performed.
Further, the embodiment may further send the parameter string to a remote server, so that an auditing party may audit or edit the target shape corresponding to the parameter string. The method aims at facilitating information exchange among different users, such as shape scheme confirmation between a machine designer and a software developer and between the machine designer and a machining operator, so as to further improve the machining efficiency and accuracy of the reinforcing steel bars. The specific auditing or editing process is shown in fig. 3, and includes the following steps:
s410, receiving and analyzing the parameter string.
And S420, displaying the target shape of the processed steel bar based on the parameter string.
In this step, corresponding specific graphics may be obtained from the graphic database according to the graphic code parameters parsed from the parameter string, and the obtained specific graphics may be further adjusted according to the size parameter, so as to finally display a target shape completely consistent with the parameter string.
And S430, checking or editing the graphic code parameters or the size parameters in the parameter string according to the target shape. The specific editing process can be realized by means of modifying size data, updating graphic code parameters and the like.
Through the steps, the method can carry out parameterization description based on the processing shape of the steel bar, and the information of the shape and the length of the steel bar can be transmitted among different devices, so that the problem that the shape of the steel bar needs to be learned by a steel bar graphic library defined by a certain party in the past is solved. In addition, for a software developer, a series of similar steel bar processing shapes can be represented by only writing a set of code for comparing the steel bar parameter information strings, so that the workload of the developer is greatly reduced, and the working efficiency is improved.
With continued reference to fig. 4, a rebar shape determination apparatus is shown, in which the rebar shape determination apparatus 40 may include or be divided into one or more program modules, where the one or more program modules are stored in a storage medium and executed by one or more processors to complete the present invention and implement the rebar shape determination method described above. Program modules in the present invention refer to a series of computer program instruction segments capable of performing a specific function, which are more suitable than the program itself for describing the execution of the bar shape determining device 40 in a storage medium. The following description will specifically describe functions of each program module of the present embodiment:
the feature acquisition module 41 is adapted to acquire target features of the machined shape of the reinforcing steel bar, wherein the target features are used for representing the machined target shape of the reinforcing steel bar;
a parameter string module 42 adapted to describe the target feature by sequentially connected parameter strings; wherein the parameter string includes a graphic code parameter for characterizing a particular graphic style contained in the target shape and a size parameter for characterizing length information and angle information contained in the target shape;
the data storage module 43 is adapted to store the parameter string in a database, wherein the parameter string has a one-to-one mapping relation with the object code of the target shape.
The present embodiment also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack-mounted server, a blade server, a tower server, or a rack-mounted server (including an independent server or a server cluster formed by a plurality of servers) that can execute a program. The computer device 50 of the present embodiment includes at least, but is not limited to: a memory 51, a processor 52, which may be communicatively coupled to each other via a system bus, as shown in fig. 5. It should be noted that fig. 5 only shows a computer device 50 having components 51-52, but it should be understood that not all of the illustrated components are required to be implemented, and that more or fewer components may be implemented instead.
In the present embodiment, the memory 51 (i.e., readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the memory 51 may be an internal storage unit of the computer device 50, such as a hard disk or memory of the computer device 50. In other embodiments, the memory 51 may also be an external storage device of the computer device 50, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the computer device 50. Of course, the memory 51 may also include both internal storage units of the computer device 50 and external storage devices. In this embodiment, the memory 51 is generally used to store an operating system installed in the computer device 50 and various types of application software, such as program codes of the rebar shape determining device 40 of the first embodiment. Further, the memory 51 may also be used to temporarily store various types of data that have been output or are to be output.
Processor 52 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 52 is generally used to control the overall operation of the computer device 50. In this embodiment, the processor 52 is configured to execute the program code stored in the memory 51 or process data, for example, execute the apparatus 40 for determining a rebar shape, so as to implement the method for determining a rebar shape according to the first embodiment.
The present embodiment also provides a computer-readable storage medium such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored, which when executed by a processor, performs the corresponding functions. The computer readable storage medium of the present embodiment is used for storing the rebar shape determining device 40, and when executed by the processor, implements the rebar shape determining method of the first embodiment.
Example two
Referring to fig. 6, the present embodiment provides a method for processing a steel bar, which includes the following steps:
s100', acquiring a plurality of parameter strings in batches as described in the first embodiment. It will be appreciated that the actual rebar machining process is performed in batch, and thus the present embodiment also obtains a plurality of parameter strings characterizing the target shape of the rebar in batch.
S200', determining the length of a first processing section according to the lap joint code parameter and the straight rib length parameter in a first parameter string; the length of the first processing section refers to the length of raw material steel bars required for realizing all or part of the target shapes corresponding to the first parameter string; wherein the first parameter string is any one of the plurality of parameter strings.
The lap code parameter is used to characterize the manner of connection between the two process segments. And when the lap joint code parameter is a non-null value, the lap joint code parameter represents that at least two processing sections are combined into a finished target steel bar through connection. In this case, the target reinforcing bar needs to be processed in sections. The number of lap code parameters included in a parameter string may reflect the number of segments of a target rebar. Specifically, the number of the processing sections of the target steel bar is equal to the number of the lap joint code parameters plus one. For example, the first parameter string contains a lap code parameter indicating that the corresponding target rebar is formed by connecting two work pieces. Each processing section in this embodiment requires a corresponding stock rebar. It will be appreciated that the stock bars may be cut to different sizes during the continuous process. Therefore, selecting the raw material reinforcing steel bars matched with the length of the first processing section to avoid raw material waste and improve processing efficiency is a primary goal of reinforcing steel bar processing.
And S300', searching a first raw material steel bar matched with the length of the processing section from a raw material steel bar database.
The raw material reinforcing steel bar database is used for storing raw material numbers and corresponding lengths of the currently available raw material reinforcing steel bars. For example, the length of the raw material number 001 is 9 m, the length of the raw material number 002 is 6 m, and the length of the raw material number 003 is 4.5 m. The length of the raw material reinforcing steel bars can be a certain range more than the length of the processing section, for example, more than 0.5 m to 1 m. On the one hand, the processing operation of the processing section is enough to be completed, and excessive raw material waste is avoided.
And S400', processing the first raw material reinforcing steel bars according to the first parameter string under the condition that the first raw material reinforcing steel bars are searched.
S500', determining a second parameter string from the plurality of parameter strings under the condition that the first raw material steel bar is not searched, wherein the sum of the length of a second processing section in the second parameter string and the length of the first processing section is matched with the initial length of the raw material steel bar; the length of the second processing section refers to the length of the raw material steel bar required for realizing all or part of the target shape corresponding to the second parameter string; wherein the second parameter string is any one of the plurality of parameter strings.
The initial length of the stock rebar is typically a fixed value, for example 9 meters. The purpose of this step is to find the second processing section that can utilize the same complete raw materials reinforcing bar to process jointly with first processing section to guarantee that the raw materials can make full use of, avoid extravagant. Similar to the first process segment length, the second process segment length may also be obtained by parsing the length parameters in the second string of parameters. When the second parameter includes a plurality of length parameters, the plurality of length parameters are added to obtain a second processing section length.
And S600', processing a second raw material reinforcing steel bar according to the first parameter string and the second parameter string, wherein the second raw material reinforcing steel bar has the initial length.
Through the steps, the quick type selection and matching of the raw material reinforcing steel bars and the processed target reinforcing steel bars can be realized, the reinforcing steel bar processing efficiency is improved, and the raw material cost is effectively reduced.
With continued reference to fig. 7, in this embodiment, the reinforcement bar processing apparatus 70 may include or be divided into one or more program modules, one or more program modules being stored in a storage medium and executed by one or more processors to perform the reinforcement bar processing method according to the present invention. Program modules in the present invention refer to a series of computer program instruction segments capable of performing a specific function, and are more suitable than the program itself for describing the execution of the rebar machining device 70 in a storage medium. The following description will specifically describe functions of each program module of the present embodiment:
the parameter string obtaining module 71 is adapted to obtain the plurality of parameter strings in batch;
a length determining module 72 adapted to determine a first processing segment length based on the overlap code parameter and the straight bar length parameter in a first parameter string; the length of the first processing section refers to the length of raw material steel bars required for realizing all or part of the target shapes corresponding to the first parameter string; wherein the first parameter string is any one of the plurality of parameter strings;
a stock matching module 73 adapted to search a stock reinforcement database for a first stock reinforcement matching the length of the processing section;
and a processing module 74, adapted to process the first raw material steel bar according to the first parameter string when the first raw material steel bar is searched.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It will be appreciated by those of ordinary skill in the art that all or part of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable medium, where the program when executed includes one or a combination of the steps of the method embodiment.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. A method of determining a shape of a machined rebar, comprising:
acquiring target characteristics of a machined shape of the steel bar, wherein the target characteristics are used for representing the machined target shape of the steel bar;
describing the target characteristics through parameter strings connected in sequence; wherein the parameter string includes a graphic code parameter for characterizing a particular graphic style contained in the target shape and a size parameter for characterizing length information and angle information contained in the target shape;
storing the parameter strings into a database, wherein the parameter strings have a one-to-one mapping relation with the target codes of the target shapes;
wherein the graphic code parameters comprise lap joint code parameters, and the size parameters comprise straight rib length parameters; the step of describing the target feature through the parameter string connected in sequence comprises the following steps: the length data of the straight line shape in the target shape is represented by the straight bar length parameter; representing a connection mode between two straight line shapes in the target shape by using the lap joint code parameters;
wherein the method further comprises:
obtaining a plurality of parameter strings in batches;
determining the length of a first processing section according to the lap joint code parameter and the straight rib length parameter in the first parameter string; the length of the first processing section refers to the length of raw material steel bars required for realizing all or part of the target shapes corresponding to the first parameter string; wherein the first parameter string is any one of the plurality of parameter strings;
searching a first raw material steel bar matched with the length of the first processing section from a raw material steel bar database;
processing the first raw material steel bars according to the first parameter string under the condition that the first raw material steel bars are searched;
determining a second parameter string from the plurality of parameter strings under the condition that the first raw material reinforcing steel bar is not searched, wherein the sum of the length of a second processing section in the second parameter string and the length of the first processing section is matched with the initial length of the second raw material reinforcing steel bar; the length of the second processing section refers to the length of the raw material steel bar required for realizing all or part of the target shape corresponding to the second parameter string; wherein the second parameter string is any one of the plurality of parameter strings;
processing the second raw material reinforcing steel bars according to the first parameter string and the second parameter string;
the length of the raw material reinforcing steel bar is more than the length of the processing section by a certain range; the length of the second processing section is similar to the length of the first processing section, the length of the second processing section is obtained by analyzing the length parameters in the second parameter string, specifically, when the second parameter string contains a plurality of length parameters, the length parameters are added to obtain the length of the second processing section, and the number of the processing sections of the steel bar is equal to the number of the lap joint code parameters plus one.
2. The method for determining the shape of a machined steel bar according to claim 1, wherein the graphic code parameters include a hook code parameter and a straight bar code parameter; the dimension parameter comprises a bending angle parameter; the step of describing the target feature through the parameter string connected in sequence comprises the following steps:
representing end hook shapes in the target shape with the hook code parameters;
and using the bending angle parameter to represent angle data between two straight line shapes in the target shape.
3. The method of determining a machined shape of a reinforcing steel bar of claim 2, wherein after the step of storing the parameter string in a database, further comprising:
and sending the parameter string to a remote server for an auditing party to audit or edit the target shape corresponding to the parameter string.
4. The method for determining a machined shape of a steel bar according to claim 3, wherein the step of the auditor auditing or editing the target shape corresponding to the parameter string comprises:
receiving and analyzing the parameter string;
displaying the target shape of the steel bar after processing based on the parameter string;
and checking or editing the graphic code parameters or the size parameters in the parameter string according to the target shape.
5. A reinforcing bar processing shape determining apparatus for implementing the method of any one of claims 1 to 4, comprising:
the characteristic acquisition module is suitable for acquiring target characteristics of the machined shape of the steel bar, wherein the target characteristics are used for representing the machined target shape of the steel bar;
the parameter string module is suitable for describing the target characteristics through sequentially connected parameter strings; wherein the parameter string includes a graphic code parameter for characterizing a particular graphic style contained in the target shape and a size parameter for characterizing length information and angle information contained in the target shape;
and the data storage module is suitable for storing the parameter strings into a database, wherein the parameter strings have a one-to-one mapping relation with the target codes of the target shapes.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 4.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003223469A (en) * | 2002-01-30 | 2003-08-08 | Aakitekku:Kk | Reinforcement machine chart and reinforcement machining chart display system |
CN109284858A (en) * | 2018-04-26 | 2019-01-29 | 湖北文理学院 | Reinforcing steel bar blanking optimization method and device and storage equipment |
CN109902431A (en) * | 2019-03-13 | 2019-06-18 | 湖北文理学院 | Reinforcing bar materials method for optimizing configuration and system |
CN109918716A (en) * | 2019-01-25 | 2019-06-21 | 杭州品茗安控信息技术股份有限公司 | A kind of quick generation method of reinforcing bar three-dimensional |
CN110000305A (en) * | 2018-11-05 | 2019-07-12 | 中铁九局集团第二工程有限公司 | One kind is based on BIM reinforcing bar without figureization processing method |
CN111695172A (en) * | 2019-03-12 | 2020-09-22 | 广联达科技股份有限公司 | Digital material cutting method and system for building material diversion water section and storage medium |
CN113190894A (en) * | 2021-03-13 | 2021-07-30 | 厦门海迈科技股份有限公司 | Reinforcing steel bar sample copying data processing method and device, terminal equipment and medium |
CN113269527A (en) * | 2021-05-28 | 2021-08-17 | 中国十七冶集团有限公司 | Method for accurately processing steel bar based on BIM steel bar shape and parameters |
-
2021
- 2021-09-18 CN CN202111100868.5A patent/CN113761635B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003223469A (en) * | 2002-01-30 | 2003-08-08 | Aakitekku:Kk | Reinforcement machine chart and reinforcement machining chart display system |
CN109284858A (en) * | 2018-04-26 | 2019-01-29 | 湖北文理学院 | Reinforcing steel bar blanking optimization method and device and storage equipment |
CN110000305A (en) * | 2018-11-05 | 2019-07-12 | 中铁九局集团第二工程有限公司 | One kind is based on BIM reinforcing bar without figureization processing method |
CN109918716A (en) * | 2019-01-25 | 2019-06-21 | 杭州品茗安控信息技术股份有限公司 | A kind of quick generation method of reinforcing bar three-dimensional |
CN111695172A (en) * | 2019-03-12 | 2020-09-22 | 广联达科技股份有限公司 | Digital material cutting method and system for building material diversion water section and storage medium |
CN109902431A (en) * | 2019-03-13 | 2019-06-18 | 湖北文理学院 | Reinforcing bar materials method for optimizing configuration and system |
CN113190894A (en) * | 2021-03-13 | 2021-07-30 | 厦门海迈科技股份有限公司 | Reinforcing steel bar sample copying data processing method and device, terminal equipment and medium |
CN113269527A (en) * | 2021-05-28 | 2021-08-17 | 中国十七冶集团有限公司 | Method for accurately processing steel bar based on BIM steel bar shape and parameters |
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