CN113689384A - Steel plate excess material intelligent statistics and cyclic utilization technology based on photogrammetry - Google Patents
Steel plate excess material intelligent statistics and cyclic utilization technology based on photogrammetry Download PDFInfo
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- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
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Abstract
The invention provides a photogrammetric based intelligent statistical and cyclic utilization technology for steel plate excess materials, which comprises the following steps: acquiring a residual material picture of a steel plate residual material through a photographic technology, sending the residual material picture to a big data platform through a communication terminal, and automatically reading the residual material picture according to algorithm software; displaying the excess material picture, identifying the appearance of the steel plate excess material based on a display result and numbering an identification result; counting the number and the weight of the steel plate excess materials based on the numbered identification results, simultaneously converting the shapes of the steel plate excess materials into CAD graphs according to the identification results, and performing nesting secondary utilization on the steel plate excess materials in the CAD graphs based on a nesting platform; the appearance and the weight of all the excess materials in the visual field of the camera are counted at one time, the CAD graphs of all the excess materials can be drawn and numbered at one time, and the counting efficiency and the secondary utilization efficiency of the excess materials are greatly improved.
Description
Technical Field
The invention relates to the technical field of photogrammetry, in particular to a steel plate excess material intelligent statistics and recycling technology based on photogrammetry.
Background
At present, a plurality of excess materials are inevitably generated in the daily production of steel structure processing enterprises, and if the excess materials cannot be fully utilized, the loss and the cost of a plurality of materials are increased. However, as managers are motivated to generate a lot of excess materials every day and the shapes of the excess materials are irregular, the traditional manual statistical method has a great problem when the excess materials are counted: 1. the weight and the area of each residual material are difficult to accurately count by using a ruler method, particularly the residual materials with irregular shapes need many additional work such as angle calculation, and the work is quite complicated. 2. The method has low manual statistical efficiency and high cost, and cannot adapt to high-frequency material turnover and cyclic utilization in a workshop. Manually counted data can be utilized only by converting the data into CAD graphs, the efficiency is low, the cost is high as well as the overall dimension of the excess materials is input one by one, and the work can hardly be completed because a processing enterprise generates a lot of excess materials every day;
therefore, the invention provides a photogrammetry-based intelligent counting and recycling technology for steel plate remainders, the photogrammetry technology is utilized to identify the shapes of all remainders in an observable area at one time, and then the quantity of the remainders and the shape size of each remainders are counted through a specific algorithm and are converted into CAD graphs for common technicians to use.
Disclosure of Invention
The invention provides a photogrammetry-based intelligent counting and recycling technology for steel plate excess materials, which is used for counting the shapes and weights of all excess materials in a camera view at one time and finishing CAD graph drawing and numbering of all excess materials at one time, thereby greatly improving the statistical efficiency and the secondary utilization efficiency of the excess materials.
The invention provides a photogrammetric based intelligent statistical and cyclic utilization technology for steel plate excess materials, which comprises the following steps:
step 1: acquiring a residual material picture of a steel plate residual material through a photographic technology, sending the residual material picture to a big data platform through a communication terminal, and automatically reading the residual material picture according to algorithm software;
step 2: displaying the excess material picture, identifying the appearance of the steel plate excess material based on a display result and numbering an identification result;
and step 3: counting the number and the weight of the steel plate excess materials based on the numbered identification results, simultaneously converting the shapes of the steel plate excess materials into CAD graphs according to the identification results, and performing nesting secondary utilization on the steel plate excess materials in the CAD graphs based on a nesting platform.
Preferably, a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, in step 1, will clout picture passes through communication terminal and sends to big data platform's specific working process, includes:
acquiring a picture file of the excess material picture, and extracting a file format of the picture file;
establishing a picture sending request corresponding to the file format at the communication terminal based on the file format;
receiving the picture sending request based on the big data platform, and carrying out security inspection on the picture sending request;
when the picture sending request passes the security check in the big data platform, the big data platform sends response information to the communication terminal;
creating a dynamic file path between the communication terminal and the big data platform based on the response information;
and sending the residual material picture to the big data platform through the communication terminal according to the dynamic file path.
Preferably, in step 1, a steel plate residue intelligent statistics and cyclic utilization technology based on photogrammetry automatically reads a specific working process of a residue picture according to algorithm software, and the method comprises the following steps:
creating a picture label for the excess material picture based on the algorithm software, and determining the file type of the excess material picture according to the picture label;
matching the file type of the excess material picture with a preset file type, and judging whether the file type of the excess material picture is correct or not;
when the file type of the excess material picture is not matched with a preset file type, judging that the file type of the excess material picture is incorrect, and replacing the file type of the excess material picture to be matched with the preset file type;
otherwise, acquiring picture parameters of the residual material picture, performing definition judgment on the residual material picture based on the picture parameters, and acquiring a judgment grade;
the judging grade is divided into a first grade and a second grade;
when the judgment grade is a second grade, adjusting the definition of the residual material picture by adjusting the picture parameters, and judging the definition of the residual material picture after the definition adjustment again until the judgment grade of the definition of the residual material picture is a first grade, and meanwhile, defining the residual material picture of the first grade as a standard residual material picture;
setting a first preset value in the algorithm software;
when the standard excess material picture is received in the big data platform, generating a second preset value, and judging whether the second preset value is equal to the first preset value or not;
when the second preset value is equal to the first preset value, automatically reading the standard excess material picture through the algorithm software;
otherwise, no reading is performed.
Preferably, a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, in step 2, discern the steel sheet clout appearance and carry out the concrete working process of serial number to the recognition result based on the display result, include:
automatically identifying and filtering the background color of the excess material picture based on the algorithm software;
determining the color difference of the filtered excess material picture, and identifying the outline of the steel plate excess material based on the color difference;
dividing the residual material picture based on the closed outline line, and numbering based on the dividing result;
meanwhile, the contour lines of the shapes which are not closed in the excess material pictures are manually adjusted and numbered.
Preferably, a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, in step 3, the identification result after the number is to the specific working process that the quantity and the weight of steel sheet clout were counted includes:
acquiring the numbering result of the excess material pictures, and calculating the number of the steel plate excess materials based on the numbering result;
meanwhile, acquiring a sub excess material picture based on the numbering result;
dividing the sub excess material picture according to a preset grid, and calculating the surface area of the sub excess material picture based on a division result;
meanwhile, automatically reading the thickness of the steel plate excess material;
and calculating the weight of the steel plate excess material corresponding to the sub excess material picture based on the surface area of the sub excess material picture and the thickness of the steel plate excess material.
Preferably, a photogrammetry-based intelligent statistics and cyclic utilization technology for steel plate excess materials calculates the weight of the steel plate excess materials corresponding to the sub-excess material pictures, and the method comprises the following steps:
acquiring the density of the steel plate excess material corresponding to the sub excess material picture, and calculating the actual weight of the steel plate excess material according to the density of the steel plate excess material, wherein the specific steps are as follows:
calculating the actual weight of the steel plate residual material according to the following formula:
wherein W represents the actual weight of the steel plate residue; rho represents the density value of the steel plate residual material; gamma represents an error coefficient when the volume value of the steel plate excess material is counted according to the excess material picture, and the value range is (0.05, 0.1); g represents the acceleration of gravity, and is 9.8m/s2(ii) a S represents the area of the steel plate excess material corresponding to the sub excess material picture; h represents the thickness of the steel plate remainder.
Preferably, the specific working steps of automatically identifying and filtering the background color of the steel plate excess material picture based on the algorithm software based on the photogrammetric survey intelligent statistics and cyclic utilization technology for the steel plate excess material comprise:
acquiring n sub-excess material pictures corresponding to the numbering result, and randomly selecting a target sub-excess material picture from the n sub-excess material pictures;
extracting the sub excess material picture with the most pixel points in the target sub excess material picture, and taking the sub excess material picture with the most pixel points as a sample picture;
acquiring the color type of the sample picture, and taking the color type of the sample picture as the background color of the excess material picture;
taking the sample picture as a reference, acquiring a color threshold value of the sample picture, and respectively acquiring pixel color values of n-1 sub-excess material pictures;
acquiring a first sub-excess material picture of which the pixel color value is less than or equal to the color threshold value, and communicating the first sub-excess material picture with the sample picture;
and meanwhile, black filling is carried out on a second sub-excess material picture of which the pixel color value is larger than the color threshold value, and the filtering of the background color of the excess material picture is completed.
Preferably, the technology for intelligently counting and recycling the steel plate excess materials based on photogrammetry divides the sub-excess material picture according to a preset grid, and after calculating the surface area of the sub-excess material picture based on the division result, the method further comprises the following steps:
acquiring each grid clout picture obtained after the sub clout pictures are divided according to a preset grid, putting each grid clout picture into a preset rectangular coordinate system, and determining a surface function of each grid clout picture in the preset rectangular coordinate system;
based on each net clout picture is in the quantity calculation of curved surface function and steel sheet clout in the rectangular coordinate system of predetermineeing the total area of steel sheet clout acquires the cyclic utilization area of steel sheet clout, and based on the total area of steel sheet clout and the cyclic utilization area calculation of steel sheet clout the effective utilization of steel sheet clout, concrete work step includes:
determining the number of the steel plate remnants, and calculating the total area of the steel plate remnants based on the number of the steel plate remnants;
wherein S represents the total area of the steel plate remnants; f (x)j，yj) Representing a curved surface function of the grid excess material picture in the preset rectangular coordinate system; x is the number ofjRepresenting the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; y isjExpressing the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; a represents the minimum value of the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; b represents the maximum value of the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; h is1Representing the minimum value of the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; h is2Representing the maximum value of the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; n represents the number of steel plate remnants; k represents the number of steel plate remnants; m represents the total number of grids of each steel plate residual material; j represents the current mesh, and j is 1, 2.. m;
extracting the recycling area of the steel plate excess material;
calculating the effective utilization rate of the steel plate excess material according to the recycling area of the steel plate excess material and the total area of the steel plate excess material;
wherein eta represents the effective utilization rate of the steel plate residual material, and the value range is (0, 1); q represents the recycling area of the steel plate excess material;
comparing the calculated effective utilization rate of the steel plate residual material with a preset effective utilization rate;
when the effective utilization rate of the steel plate excess materials is equal to or greater than the preset effective utilization rate, judging that the recycling usage amount of the steel plate excess materials is qualified;
otherwise, increasing the recycling area of the steel plate excess material, and improving the effective utilization rate of the steel plate excess material until the effective utilization rate of the steel plate excess material is equal to the preset effective utilization rate.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a steel plate residue intelligent statistics and recycling technology based on photogrammetry in the embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the embodiment provides a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, as shown in fig. 1, includes:
step 1: acquiring a residual material picture of a steel plate residual material through a photographic technology, sending the residual material picture to a big data platform through a communication terminal, and automatically reading the residual material picture according to algorithm software;
step 2: displaying the excess material picture, identifying the appearance of the steel plate excess material based on a display result and numbering an identification result;
and step 3: counting the number and the weight of the steel plate excess materials based on the numbered identification results, simultaneously converting the shapes of the steel plate excess materials into CAD graphs according to the identification results, and performing nesting secondary utilization on the steel plate excess materials in the CAD graphs based on a nesting platform.
In this embodiment, the communication terminal may be a 5G terminal.
In this embodiment, the secondary utilization of the nesting of the steel plate remainders in the CAD drawing based on the nesting platform may be that a technician introduces the CAD drawing into the nesting software, and then performs the secondary utilization of the nesting of all the remainders one by one automatically in batch or manually.
The beneficial effects of the above technical scheme are: the appearance and the weight of all the excess materials in the visual field of the camera are counted at one time, the CAD graphs of all the excess materials can be drawn and numbered at one time, and the counting efficiency and the secondary utilization efficiency of the excess materials are greatly improved.
Example 2:
on the basis of embodiment 1, this embodiment provides a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, and in step 1, will clout picture passes through communication terminal and sends the specific working process to big data platform, includes:
acquiring a picture file of the excess material picture, and extracting a file format of the picture file;
establishing a picture sending request corresponding to the file format at the communication terminal based on the file format;
receiving the picture sending request based on the big data platform, and carrying out security inspection on the picture sending request;
when the picture sending request passes the security check in the big data platform, the big data platform sends response information to the communication terminal;
creating a dynamic file path between the communication terminal and the big data platform based on the response information;
and sending the residual material picture to the big data platform through the communication terminal according to the dynamic file path.
In this embodiment, the file format of the picture file may be a format in which the image file is stored, and usually, JPEG, TIFF, RAW, BMP, GIF, PNG, and the like are available.
In this embodiment, the picture transmission request may be a transmission request generated based on a different picture file format, for example, when the file format of the picture file is JPEG, the corresponding picture transmission request is the first picture transmission request.
In this embodiment, the security check of the picture sending request is performed to check whether the picture sending request is a malicious request, so as to improve the security of sending the picture.
In this embodiment, the dynamic file path is created to more flexibly send the residue image.
In this embodiment, the response information is information obtained based on the picture transmission request and used to respond to the picture transmission request, where the response information includes: picture format, transmission path, etc.
The beneficial effects of the above technical scheme are: the picture sending request is acquired and the security verification is carried out on the picture sending request, so that the picture sending security is improved, and the dynamic file path between the communication terminal and the big data platform is effectively established by acquiring the response information, so that the flexibility of sending the residual picture from the communication terminal to the big data platform is improved.
Example 3:
on the basis of embodiment 1, this embodiment provides a photogrammetric survey-based intelligent statistics and cyclic utilization technology for steel plate residue, and in step 1, a specific working process of automatically reading a residue picture according to algorithm software includes:
creating a picture label for the excess material picture based on the algorithm software, and determining the file type of the excess material picture according to the picture label;
matching the file type of the excess material picture with a preset file type, and judging whether the file type of the excess material picture is correct or not;
when the file type of the excess material picture is not matched with a preset file type, judging that the file type of the excess material picture is incorrect, and replacing the file type of the excess material picture to be matched with the preset file type;
otherwise, acquiring picture parameters of the residual material picture, performing definition judgment on the residual material picture based on the picture parameters, and acquiring a judgment grade;
the judging grade is divided into a first grade and a second grade;
when the judgment grade is a second grade, adjusting the definition of the residual material picture by adjusting the picture parameters, and judging the definition of the residual material picture after the definition adjustment again until the judgment grade of the definition of the residual material picture is a first grade, and meanwhile, defining the residual material picture of the first grade as a standard residual material picture;
setting a first preset value in the algorithm software;
when the standard excess material picture is received in the big data platform, generating a second preset value, and judging whether the second preset value is equal to the first preset value or not;
when the second preset value is equal to the first preset value, automatically reading the standard excess material picture through the algorithm software;
otherwise, no reading is performed.
In this embodiment, the picture tag may be used to indicate a file type represented by the picture, and the file type of the corresponding residue picture may be obtained through the picture tag.
In this embodiment, the file type of the residue picture may be JPEG, TIFF, RAW, or the like.
In this embodiment, the preset file type may be a file type for reading a picture that is automatically set by the algorithm software.
In this embodiment, the determination levels include a first level and a second level, where the first level may indicate that the definition of the residue image is strong, and the second level may indicate that the definition of the residue image is weak.
In this embodiment, the first preset value may be a value for determining whether the algorithm software reads the picture, and is automatically set by the algorithm software.
In this embodiment, the second preset value may be a value determined when the picture is received by the big data platform, or may be a value manually input when the residue picture is transmitted, and when the second preset value is equal to the first preset value, the algorithm software may automatically read the standard residue picture.
In this embodiment, the picture parameters of the residue picture may include the definition, the pixel value, and the like of the residue picture.
The beneficial effects of the above technical scheme are: the definition of the excess material picture can be effectively determined by obtaining the picture information of the excess material picture corresponding to the preset file type, the standard excess material picture can be accurately obtained after the definition of the excess material picture is adjusted, the discrimination of the excess material picture is improved, whether the excess material picture is read by the algorithm software or not is favorably determined by setting the first preset value and comparing the first preset value with the second preset value, and therefore the automation of the algorithm software for reading the excess material picture is greatly improved.
Example 4:
on the basis of embodiment 1, this embodiment provides a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, and in step 2, the concrete working process who discerns the steel sheet clout appearance and number the discernment result based on the display result includes:
automatically identifying and filtering the background color of the excess material picture based on the algorithm software;
determining the color difference of the filtered excess material picture, and identifying the outline of the steel plate excess material based on the color difference;
dividing the residual material picture based on the closed outline line, and numbering based on the dividing result;
meanwhile, the contour lines of the shapes which are not closed in the excess material pictures are manually adjusted and numbered.
The beneficial effects of the above technical scheme are: the numbering to the steel plate clout is favorably accomplished through obtaining the appearance contour line, so that the intelligent statistics to the steel plate clout is favorably realized.
Example 5:
on the basis of embodiment 1, this embodiment provides a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, and in step 3, the identification result after the number is right the specific working process that the quantity and the weight of steel sheet clout were counted includes:
acquiring the numbering result of the excess material pictures, and calculating the number of the steel plate excess materials based on the numbering result;
meanwhile, acquiring a sub excess material picture based on the numbering result;
dividing the sub excess material picture according to a preset grid, and calculating the surface area of the sub excess material picture based on a division result;
meanwhile, automatically reading the thickness of the steel plate excess material;
and calculating the weight of the steel plate excess material corresponding to the sub excess material picture based on the surface area of the sub excess material picture and the thickness of the steel plate excess material.
In this embodiment, the sub-residue pictures are obtained based on the numbering result, for example, each number corresponds to one sub-residue picture.
The beneficial effects of the above technical scheme are: the number of the excess materials can be automatically counted through the number, the area of each excess material can be calculated according to a grid method, the weight of each excess material is obtained according to the thickness and the area of each excess material, and therefore the intelligence of counting the excess materials of the steel plate is greatly improved.
Example 6:
on the basis of embodiment 5, this embodiment provides a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry, calculates the weight of the steel sheet clout that sub clout picture corresponds, includes:
acquiring the density of the steel plate excess material corresponding to the sub excess material picture, and calculating the actual weight of the steel plate excess material according to the density of the steel plate excess material, wherein the specific steps are as follows:
calculating the actual weight of the steel plate residual material according to the following formula:
wherein W represents the actual weight of the steel plate residue; rho represents the density value of the steel plate residual material; gamma represents an error coefficient when the volume value of the steel plate excess material is counted according to the excess material picture, and the value range is (0.05, 0.1); g represents the acceleration of gravity, and is 9.8m/s2(ii) a S represents the area of the steel plate excess material corresponding to the sub excess material picture; h represents the thickness of the steel plate remainder.
In this embodiment, the error coefficient may be an error value that is inevitable when the steel plate remnants are counted, and the actual volume value of the steel plate remnants may be accurately determined by taking the error coefficient into account and using (1- γ) × V.
The beneficial effects of the above technical scheme are: the density of the steel plate excess materials is obtained, the actual weight of the steel plate excess materials can be calculated through determining the error coefficient when the volume value of the steel plate excess materials is obtained, and the accuracy of counting the weight of the steel plate excess materials is greatly improved.
Example 7:
on the basis of embodiment 5, the embodiment provides a photogrammetric survey-based intelligent statistical and cyclic utilization technology for steel plate excess material, and the specific working steps of automatically identifying and filtering the background color of the excess material picture based on the algorithm software comprise:
acquiring n sub-excess material pictures corresponding to the numbering result, and randomly selecting a target sub-excess material picture from the n sub-excess material pictures;
extracting the sub excess material picture with the most pixel points in the target sub excess material picture, and taking the sub excess material picture with the most pixel points as a sample picture;
acquiring the color type of the sample picture, and taking the color type of the sample picture as the background color of the excess material picture;
taking the sample picture as a reference, acquiring a color threshold value of the sample picture, and respectively acquiring pixel color values of n-1 sub-excess material pictures;
acquiring a first sub-excess material picture of which the pixel color value is less than or equal to the color threshold value, and communicating the first sub-excess material picture with the sample picture;
and meanwhile, black filling is carried out on a second sub-excess material picture of which the pixel color value is larger than the color threshold value, and the filtering of the background color of the excess material picture is completed.
In this embodiment, the pixel color values may be obtained through an RGB color look-up table.
In this embodiment, if the pixel color value is smaller than the color threshold, it may be determined that the color of the sub-residue picture is similar to that of the sample picture.
In this embodiment, the first sub-residue picture may be a sub-residue picture corresponding to a pixel color value smaller than or equal to a color threshold.
In this embodiment, the second sub-remainder picture may be a sub-remainder picture corresponding to a pixel color value greater than the color threshold, where the first sub-remainder picture, the second sub-remainder picture and the sample picture all belong to the remainder picture, and the first sub-remainder picture + the second sub-remainder picture are the remainder picture, and the sample picture belongs to the first sub-remainder picture.
The beneficial effects of the above technical scheme are: by acquiring the sample picture and taking the color of the sample picture as the background color, and meanwhile, determining the color threshold of the sample picture can effectively determine the relationship between the sub-sample picture and the sample picture, and further, by carrying out black filling on the second sub-remainder picture, the filtering of the background color of the remainder picture is completed, so that the accuracy of the remainder picture is improved.
Example 8:
on the basis of embodiment 5, this embodiment provides a photogrammetric survey-based intelligent statistics and cyclic utilization technology for steel plate residue, and the method includes dividing the sub-residue picture according to a preset grid, and calculating the surface area of the sub-residue picture based on the division result, and further includes:
acquiring each grid clout picture obtained after the sub clout pictures are divided according to a preset grid, putting each grid clout picture into a preset rectangular coordinate system, and determining a surface function of each grid clout picture in the preset rectangular coordinate system;
based on each net clout picture is in the quantity calculation of curved surface function and steel sheet clout in the rectangular coordinate system of predetermineeing the total area of steel sheet clout acquires the cyclic utilization area of steel sheet clout, and based on the total area of steel sheet clout and the cyclic utilization area calculation of steel sheet clout the effective utilization of steel sheet clout, concrete work step includes:
determining the number of the steel plate remnants, and calculating the total area of the steel plate remnants based on the number of the steel plate remnants;
wherein S represents the total area of the steel plate remnants; f (x)j,yj) Representing a curved surface function of the grid excess material picture in the preset rectangular coordinate system; x is the number ofjRepresenting the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; y isjExpressing the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; a represents the minimum value of the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; b represents that the jth grid excess material picture is in the preset rectangular coordinate systemThe maximum value of the abscissa value of (a); h is1Representing the minimum value of the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; h is2Representing the maximum value of the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; k represents the number of steel plate remnants; m represents the total number of grids of each steel plate residual material; j represents the current mesh, and j is 1, 2.. m;
extracting the recycling area of the steel plate excess material;
calculating the effective utilization rate of the steel plate excess material according to the recycling area of the steel plate excess material and the total area of the steel plate excess material;
wherein eta represents the effective utilization rate of the steel plate residual material, and the value range is (0, 1); q represents the recycling area of the steel plate excess material;
comparing the calculated effective utilization rate of the steel plate residual material with a preset effective utilization rate;
when the effective utilization rate of the steel plate excess materials is equal to or greater than the preset effective utilization rate, judging that the recycling usage amount of the steel plate excess materials is qualified;
otherwise, increasing the recycling area of the steel plate excess material, and improving the effective utilization rate of the steel plate excess material until the effective utilization rate of the steel plate excess material is equal to the preset effective utilization rate.
In this embodiment, the recycling area of the steel plate surplus may be an effective area available for the steel plate surplus.
In this embodiment, the effective utilization rate may be obtained by comparing the recycling area of the steel plate surplus material with the total area of the steel plate surplus material.
In this embodiment, the preset effective utilization rate may be set in advance, and is used for comparing and verifying whether the usage amount of the steel plate surplus material is qualified or not according to the effective interest rate of the steel plate surplus material and the preset effective utilization rate.
In this embodiment, the number of grids indicates that one steel plate remainder is divided into a plurality of grids, for example, when one steel plate remainder is divided into 3 × 3, the total number of the grids of the steel plate remainder is 9; the number of the steel plate remainders is obtained based on numbering the remainders, and each number corresponds to one steel plate remainders.
The beneficial effects of the above technical scheme are: the method has the advantages that the total area of the steel plate excess materials is accurately calculated, the recycling area of the steel plate excess materials is obtained, the effective utilization rate of the steel plate excess materials is favorably and accurately calculated, whether the recycling usage amount of the steel plate excess materials is qualified or not can be accurately judged by comparing the effective utilization rate of the steel plate excess materials with the preset effective utilization rate, and the effective utilization rate of the steel plate excess materials can be reasonably improved by increasing the recycling area.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. The utility model provides a steel sheet clout intelligence statistics and cyclic utilization technique based on photogrammetry which characterized in that includes:
step 1: acquiring a residual material picture of a steel plate residual material through a photographic technology, sending the residual material picture to a big data platform through a communication terminal, and automatically reading the residual material picture according to algorithm software;
step 2: displaying the excess material picture, identifying the appearance of the steel plate excess material based on a display result and numbering an identification result;
and step 3: counting the number and the weight of the steel plate excess materials based on the numbered identification results, simultaneously converting the shapes of the steel plate excess materials into CAD graphs according to the identification results, and performing nesting secondary utilization on the steel plate excess materials in the CAD graphs based on a nesting platform.
2. The steel plate excess material intelligent statistics and recycling technology based on photogrammetry as claimed in claim 1, wherein in step 1, the specific working process of sending the excess material picture to a big data platform through a communication terminal comprises:
acquiring a picture file of the excess material picture, and extracting a file format of the picture file;
establishing a picture sending request corresponding to the file name at the communication terminal based on the file format;
receiving the picture sending request based on the big data platform, and carrying out security inspection on the picture sending request;
when the picture sending request passes the security check in the big data platform, the big data platform sends response information to the communication terminal;
creating a dynamic file path between the communication terminal and the big data platform based on the response information;
and sending the residual material picture to the big data platform through the communication terminal according to the dynamic file path.
3. The steel plate residue intelligent statistics and recycling technology based on photogrammetry as claimed in claim 1, wherein in step 1, the specific working process of automatically reading the residue picture according to algorithm software comprises:
creating a picture label for the excess material picture based on the algorithm software, and determining the file type of the excess material picture according to the picture label;
matching the file type of the excess material picture with a preset file type, and judging whether the file type of the excess material picture is correct or not;
when the file type of the excess material picture is not matched with a preset file type, judging that the file type of the excess material picture is incorrect, and replacing the file type of the excess material picture to be matched with the preset file type;
otherwise, acquiring picture parameters of the residual material picture, performing definition judgment on the residual material picture based on the picture parameters, and acquiring a judgment grade;
the judging grade is divided into a first grade and a second grade;
when the judgment grade is a second grade, adjusting the definition of the residual material picture by adjusting the picture parameters, and judging the definition of the residual material picture after the definition adjustment again until the judgment grade of the definition of the residual material picture is a first grade, and meanwhile, defining the residual material picture of the first grade as a standard residual material picture;
setting a first preset value in the algorithm software;
when the standard excess material picture is received in the big data platform, generating a second preset value, and judging whether the second preset value is equal to the first preset value or not;
when the second preset value is equal to the first preset value, automatically reading the standard excess material picture through the algorithm software;
otherwise, no reading is performed.
4. The steel plate residue intelligent statistics and recycling technology based on photogrammetry as claimed in claim 1, wherein in step 2, the specific working process of identifying the shape of the steel plate residue and numbering the identification result based on the display result comprises:
automatically identifying and filtering the background color of the excess material picture based on the algorithm software;
determining the color difference of the filtered excess material picture, and identifying the outline of the steel plate excess material based on the color difference;
dividing the residual material picture based on the closed outline line, and numbering based on the dividing result;
meanwhile, the contour lines of the shapes which are not closed in the excess material pictures are manually adjusted and numbered.
5. The steel plate residue intelligent statistics and recycling technology based on photogrammetry as claimed in claim 1, wherein in step 3, the specific working process of counting the number and weight of the steel plate residues based on the numbered identification result comprises:
acquiring the numbering result of the excess material pictures, and calculating the number of the steel plate excess materials based on the numbering result;
meanwhile, acquiring a sub excess material picture based on the numbering result;
dividing the sub excess material picture according to a preset grid, and calculating the surface area of the sub excess material picture based on a division result;
meanwhile, automatically reading the thickness of the steel plate excess material;
and calculating the weight of the steel plate excess material corresponding to the sub excess material picture based on the surface area of the sub excess material picture and the thickness of the steel plate excess material.
6. The photogrammetric based steel plate residue intelligent statistics and recycling technology as claimed in claim 5, wherein calculating the weight of the steel plate residue corresponding to the sub-residue picture comprises:
acquiring the density of the steel plate excess material corresponding to the sub excess material picture, and calculating the actual weight of the steel plate excess material according to the density of the steel plate excess material, wherein the specific steps are as follows:
calculating the actual weight of the steel plate residual material according to the following formula:
wherein W represents the actual weight of the steel plate residue; rho represents the density value of the steel plate residual material; gamma represents an error coefficient when the volume value of the steel plate excess material is counted according to the excess material picture, and the value range is (0.05, 0.1); g represents the acceleration of gravity, and is 9.8m/s2(ii) a S represents the area of the steel plate excess material corresponding to the sub excess material picture; h meterAnd displaying the thickness of the steel plate residual material.
7. The intelligent statistics and recycling technology for the steel plate excess material based on photogrammetry as claimed in claim 5, wherein the specific working steps of automatically identifying and filtering the background color of the excess material picture based on the algorithm software comprise:
acquiring n sub-excess material pictures corresponding to the numbering result, and randomly selecting a target sub-excess material picture from the n sub-excess material pictures;
extracting the sub excess material picture with the most pixel points in the target sub excess material picture, and taking the sub excess material picture with the most pixel points as a sample picture;
acquiring the color type of the sample picture, and taking the color type of the sample picture as the background color of the excess material picture;
taking the sample picture as a reference, acquiring a color threshold value of the sample picture, and respectively acquiring pixel color values of n-1 sub-excess material pictures;
acquiring a first sub-excess material picture of which the pixel color value is less than or equal to the color threshold value, and communicating the first sub-excess material picture with the sample picture;
and meanwhile, black filling is carried out on a second sub-excess material picture of which the pixel color value is larger than the color threshold value, and the filtering of the background color of the excess material picture is completed.
8. The steel plate residue intelligent statistics and recycling technology based on photogrammetry as claimed in claim 5, wherein the sub-residue picture is divided according to a preset grid, and after calculating the surface area of the sub-residue picture based on the division result, the method further comprises:
acquiring each grid clout picture obtained after the sub clout pictures are divided according to a preset grid, putting each grid clout picture into a preset rectangular coordinate system, and determining a surface function of each grid clout picture in the preset rectangular coordinate system;
based on each net clout picture is in the quantity calculation of curved surface function and steel sheet clout in the rectangular coordinate system of predetermineeing the total area of steel sheet clout acquires the cyclic utilization area of steel sheet clout, and based on the total area of steel sheet clout and the cyclic utilization area calculation of steel sheet clout the effective utilization of steel sheet clout, concrete work step includes:
determining the number of the steel plate remnants, and calculating the total area of the steel plate remnants based on the number of the steel plate remnants;
wherein S represents the total area of the steel plate remnants; f (x)j,yj) Representing a curved surface function of the grid excess material picture in the preset rectangular coordinate system; x is the number ofjRepresenting the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; y isjExpressing the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; a represents the minimum value of the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; b represents the maximum value of the horizontal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; h is1Representing the minimum value of the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; h is2Representing the maximum value of the longitudinal coordinate value of the jth grid clout picture in the preset rectangular coordinate system; k represents the number of steel plate remnants; m represents the total number of grids of each steel plate residual material; j represents the current mesh, and j is 1, 2.. m;
extracting the recycling area of the steel plate excess material;
calculating the effective utilization rate of the steel plate excess material according to the recycling area of the steel plate excess material and the total area of the steel plate excess material;
wherein eta represents the effective utilization rate of the steel plate residual material, and the value range is (0, 1); q represents the recycling area of the steel plate excess material;
comparing the calculated effective utilization rate of the steel plate residual material with a preset effective utilization rate;
when the effective utilization rate of the steel plate excess materials is equal to or greater than the preset effective utilization rate, judging that the recycling usage amount of the steel plate excess materials is qualified;
otherwise, increasing the recycling area of the steel plate excess material, and improving the effective utilization rate of the steel plate excess material until the effective utilization rate of the steel plate excess material is equal to the preset effective utilization rate.
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