CN109798833A - A kind of machined piece automatic measurement system and automatic scoring method - Google Patents
A kind of machined piece automatic measurement system and automatic scoring method Download PDFInfo
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Abstract
The present invention relates to a kind of machined piece automatic measurement system and automatic scoring methods.Measuring system includes non-contact measurement mechanism and detection service station, respectively with the mobile phone of non-contact measurement mechanism, numerically-controlled machine tool, school's education administration system and training of students by network connection, the detection service station includes laser, visual signal processing unit, numerically-controlled machine tool data acquisition unit, machined piece automatic scoring unit and school's education administration system interactive unit and mobile terminal interactive unit at the detection service station；Scoring unit obtains real training overall scores A, A=k1*A1+k2*A2+k3*A3+k4*A4, k1, k2, k3, k4 are achievement weighting coefficient, it is set according to actual conditions by instructor, system provides default value, and wherein A1 is accurate to dimension scoring: wherein A2 is processing technology quality score: wherein A3 is processing efficiency scoring: wherein A4 is the scoring of attendance discipline.
Description
Technical field
The present invention relates to machined piece automatic scoring technical field, specifically a kind of machined piece automatic measurement system and from
Dynamic methods of marking can obtain after processing the training achievement of student according to the related data measured.
Background technique
China has become the world's largest manufacturing nation, and correspondingly country also accordingly establishes the maximum personnel training in the whole world
System, as long as there is the school of Engineering Speciality, Organic Electricity class training link.Most typical electrical category training program is exactly numerical control machine
Bed operation processing training, since teacher strength is limited, the phenomenon that this kind of generally existing student of real training is more, instructor is few causes
When instructor evaluates real training student performance, feeling, experience or simple measurement are relied primarily on to achieving the result, teacher, which will measure, to be added
On the one hand the indexs such as dimensional accuracy, the geometric tolerance of workpiece need special measuring instrument and tooling, on the other hand measurement needs to spend
The a large amount of time, so that the time of teacher's instruction of papil real training substantially reduces, the result is that student is dissatisfied, school is dissatisfied, religion
Teacher is also unsatisfied with, and influences trained quality.
With the fast development of measuring technique, IT technology, there is an urgent need to have so a set of measurement system for teacher, student and school
System quickly can carry out automatic measurement to workpiece geometric dimension, the geometric tolerance equivalent that student training processes, be marked according to training
Standard carries out objective, fair, just scoring to the result of measurement, allows teacher to free from heavy duplicate measurements work, flower
More times in student training guidance, improve the quality of student training.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of machined piece automatic measurement system and automatic scoring side
Method can provide automatically the achievement of student training from machining accuracy, processing technology, process time, attendance situation etc., scoring
It is objective and accurate, it is high-efficient.
The technical solution adopted by the present invention is that: a kind of machined piece automatic measurement system, it is characterised in that including non-contact
Formula measuring mechanism and detection service station, the detection service station are taught with non-contact measurement mechanism, numerically-controlled machine tool, school respectively
The mobile phone of business system and training of students by network connection, the detection service station include laser, visual signal processing unit,
Numerically-controlled machine tool data acquisition unit, machined piece automatic scoring unit are interacted with school's education administration system interactive unit and mobile terminal
Unit；The key data of workpiece needed for machined piece automatic scoring unit derives from the measurement of non-contact measurement mechanism
Value；The working efficiency of student is collected from controller of digital controlled machine tool automatically by network, and attendance data is by network from automatic
It being collected in attendance checking system, the evaluation result that automatic scoring unit obtains automatically generates class's school report and analysis data report,
By transmission of network to school's education administration system, individual results are sent directly on the mobile phone of training of students；
The evaluation result i.e. real training overall scores A that scoring unit obtains, A=k1*A1+k2*A2+k3*A3+k4*A4, k1, k2,
K3, k4 are achievement weighting coefficient, are set according to actual conditions by instructor, system provides default value.
Wherein A1 is accurate to dimension scoring: according to the requirement of measurement accuracy listed by workpiece standards of grading and actual measurement
Value calculates score A 1 using algorithm, and A1 score value 0---100 divides；
Wherein A2 is processing technology quality score: passing through the visual sensor and laser sensing in non-contact measurement mechanism
Device acquires the image in cutting face to judge tool surfaces quality, and the standards of grading evaluation of setting workpiece surface quality provides score
As a result A2, A2 score value 0---100 points；
Wherein A3 is processing efficiency scoring: when directly needed for one workpiece of acquisition processing in controller of digital controlled machine tool
Between, the time is converted into component number A3 by certain rule, A3 score value 0---100 divides；
Wherein A4 is the scoring of attendance discipline: acquiring practising method attendance situation number from automatic attendance checking system by network
According to by certain regular by the attendance conversion component number A4, A4 score value 0---100 point.
It is as follows using the method that above-mentioned measuring system measures: the evaluation result i.e. real training overall scores that scoring unit obtains
A, A=k1*A1+k2*A2+k3*A3+k4*A4, k1, k2, k3, k4 are achievement weighting coefficient, according to the actual situation by instructor
Setting, it is 0.35,0.35,0.2 and 0.1 that the default value of described k1, k2, k3, k4, which respectively correspond value,.
(1) A1 is that workpiece standards of grading calculate
Measurement tolerance according to workpiece includes dimensional tolerance, form tolerance, position of related features three classes
Assuming that benchmark is b, smallest offset dimensional tolerance is bmin, and peak excursion dimensional tolerance is bmax, measured value x
Measured value is less than smallest offset dimensional tolerance, i.e., in the size, precision meets the requirements, this of the workpiece at
Achievement gets full marks；Measured value is greater than peak excursion dimensional tolerance, i.e., outside the size, precision is completely undesirable, the workpiece
This achievement obtains 0 point
Measured value is between smallest offset size range, peak excursion size range, this achievement of the workpiece is by public affairs
Y is calculated in formula (1)
If workpiece has n measured value, it is scored at
(2) A2 is that processing technology standards of grading calculate
Workpiece surface quality includes: morphology, surface finish texture depth, burr area, injurious surface mark area-depth
Four classes, every one kind account for a quarter i.e. 25 and are divided into achievement.Assuming that morphology tolerance is a, surface finish texture depth tolerances are b,
Burr area tolerance is c, and injurious surface mark area-depth tolerance is d, and measured value is respectively ax, bx, cx, dx.
By the information of visual sensor and laser sensor acquisition cutting face in non-contact measurement mechanism, through dedicated
Measured value is calculated in algorithm.
The measured value of machined surface is less than tolerance value, i.e., in the requirement of the surface quality requirements item, precision meets the requirements, should
This achievement of machined surface gets full marks.The measured value of machined surface is greater than tolerance value, outside the requirement of the surface quality requirements item, essence
To spend undesirable, this achievement of the machined surface obtains 0 point,
Zi is the achievement of some machined surface, and workpiece has m machined surface
Zi takes some machined surface morphology, surface finish texture depth, burr area, four class of injurious surface mark area-depth
Achievement average value,
Zi=(ZiIt is spent+ZiDepth+ZiBurr+ZiScar)/4
When A2 value is unqualified, overall scores is failed；When A2 value qualification, calculated by the formula for calculating real training overall scores A.
(3) wherein A3 is processing efficiency scoring: the time needed for acquisition one workpiece of processing presses certain rule for the time
Component number A3 is converted, A3 score value 0---100 points, time T needed for one workpiece of processing is determined in advance in teacher according to the following rules will
The time converts component number A3:
Real time t needed for processing a workpiece,
As t≤T, A3=100 points；
As t > T,
(4) wherein A4 is the scoring of attendance discipline: acquisition practising method attendance situation data, turns the attendance by certain rule
Change score A4 into, A4 full marks 100 divide.
Late primary or primary 10 points of button of leaving early, is late, leaves early accumulative 10 times, this real training overall scores is failed；
A class button 16.67 of asking for leave divides, and asks for leave 6 times, this real training overall scores is failed；
A class button 20 of cutting classes divides, and five class of cutting classes, this real training overall scores is failed.
The beneficial effects of the present invention are: a kind of machined piece automatic scoring has been invented using measuring technique, IT technology etc.
Method and system provides the achievement of student training from machining accuracy, processing technology, process time, attendance situation etc. automatically.
Compared to before using manually marking: teacher measures marking needs 30 minutes or more time to an intermediate work machined piece, and adopts
It is only needed 1.5 minutes with machine measurement marking, the efficiency of marking greatly improved, and result of giving a mark is more just and objective.
Detailed description of the invention
Fig. 1 is system structure diagram of the invention.
Fig. 2 is scoring process principle figure of the invention.
Specific embodiment
With reference to the accompanying drawing, technical solution of the present invention is described further:
As shown in Figure 1, automatic measurement system of the invention includes non-contact measurement mechanism and detection service station, it is described
Mobile phone of the detection service station respectively with non-contact measurement mechanism, numerically-controlled machine tool, school's education administration system and training of students passes through net
Network connection, the detection service station include laser, visual signal processing unit, numerically-controlled machine tool data acquisition unit, machining
Part automatic scoring unit and school's education administration system interactive unit and mobile terminal interactive unit；Machined piece automatic scoring unit institute
The key data of the workpiece needed derives from the measured value of non-contact measurement mechanism；The working efficiency of student is automatic by network
It is collected from controller of digital controlled machine tool, attendance data is collected from automatic attendance checking system by network, automatic scoring unit
Obtained evaluation result automatically generates class's school report and analysis data report, a by transmission of network to school's education administration system
People's achievement is sent directly on the mobile phone of training of students.
The point system of automatic scoring unit is as follows:
1. accurate to dimension scores: according to the requirement of measurement accuracy listed by workpiece standards of grading and actual measured value, utilizing
Algorithm calculates score A 1, and A1 score value 0---100 divides；
2. processing technology quality score: acquiring the image in cutting face by visual sensor and laser sensor to judge table
The factor that surface wave line, tool marks, burr, injurious surface mark etc. influence workpiece surface quality whether there is, and be wanted according to measurement tool marks etc.
The depth value of element, the standards of grading evaluation of setting workpiece surface quality, provides scores A2, and A2 score value 0---100 divides；
3. processing efficiency scores: the time is converted ingredient by certain rule by the time needed for acquisition one workpiece of processing
Number A3, A3 score value 0---100 point；
4. attendance discipline scores: the attendance is converted component number by certain rule by acquisition practising method attendance situation data
A4, A4 score value 0---100 points；
5. real training overall scores A is calculated, (K1, K2, K3, K4 are achievement weighting system to A=k1*A1+k2*A2+k3*A3+k4*A4
Number, k1, k2, k3, k4 default value are 0.35,0.35,0.2,0.1.)
It is illustrated in figure 2 scoring flow chart, specific methods of marking is as follows:
1.A1 is calculated
Workpiece standards of grading are really the measurement tolerance according to workpiece, and tolerance includes: dimensional tolerance, form tolerance, position
Set tolerance three classes.Its fundamental characteristics is all have:
Assuming that benchmark is b, smallest offset dimensional tolerance is bmin, and peak excursion dimensional tolerance is bmax, measured value x
Measured value is less than smallest offset dimensional tolerance, i.e., in the size, precision meets the requirements, this of the workpiece at
Achievement gets full marks；Measured value is greater than peak excursion dimensional tolerance, i.e., outside the size, precision is completely undesirable, the workpiece
This achievement obtains 0 point
Measured value is between smallest offset size range, peak excursion size range, this achievement of the workpiece is by public affairs
Y is calculated in formula (1)
If workpiece has n measured value, it is scored at
2.A2 is calculated
Processing technology standards of grading react workpiece surface quality, include: morphology, surface finish texture depth, burr
Four classes such as area, injurious surface mark area-depth, every one kind account for a quarter (i.e. 25 points) achievement.Its fundamental characteristics is all have
It is standby:
Assuming that morphology tolerance is a, surface finish texture depth tolerances are b, and burr area tolerance is c, injurious surface mark
Area-depth tolerance is d, and measured value is respectively ax, bx, cx, dx.
The measured value of machined surface is less than tolerance value, i.e., in the requirement of the surface quality requirements item, precision meets the requirements, should
This achievement of machined surface gets full marks.
The measured value of machined surface is greater than tolerance value, and outside the requirement of the surface quality requirements item, precision is undesirable, should
This achievement of machined surface obtains 0 point.
Zi is the achievement of some machined surface, and workpiece has m machined surface:
Zi takes some machined surface morphology, surface finish texture depth, burr area, four class of injurious surface mark area-depth
Achievement average value,
Zi=(ZiIt is spent+ZiDepth+ZiBurr+ZiScar)/4
When A2 value is unqualified, real training overall scores is failed；When A2 value qualification, overall scores is calculated by scoring 5.
3.A3 is calculated
Time T needed for one workpiece of processing is determined in advance in teacher, converts component number A3 for the time according to the following rules:
When real time t≤T needed for processing a workpiece, A3=100 points；As t > T,
4.A4 is calculated
Practising method attendance data is acquired by field processing equipment, by pressing as follows in transmission of network to detection service station
The attendance is converted component number A4 by rule:
A4 full marks 100 divide, and late primary or primary 10 points of button of leaving early is late, leaves early accumulative 10 times, this real training overall scores
It fails；A class button 16.67 of asking for leave divides, and asks for leave 6 times, this real training overall scores is failed；A class button 20 of cutting classes divides, and cuts classes
Five class, this real training overall scores are failed.
5. real training overall scores A is calculated
Real training overall scores A calculate, A=k1*A1+k2*A2+k3*A3+k4*A4 (K1 K2 K3 K4 be achievement weighting coefficient,
It is 0.35,0.35,0.2 and 0.1 that k1, k2, k3 and k4, which respectively correspond value,.)
Claims (10)
1. a kind of machined piece automatic measurement system, it is characterised in that including non-contact measurement mechanism and detection service station, institute
The detection service station stated is logical with the mobile phone of non-contact measurement mechanism, numerically-controlled machine tool, school's education administration system and training of students respectively
Network connection is crossed, the detection service station includes laser, visual signal processing unit, numerically-controlled machine tool data acquisition unit, machine
Workpiece automatic scoring unit and school's education administration system interactive unit and mobile terminal interactive unit；Machined piece automatic scoring list
The key data of the required workpiece of member derives from the measured value of non-contact measurement mechanism；The working efficiency of student passes through network
Automatically it is collected from controller of digital controlled machine tool, attendance data is collected from automatic attendance checking system by network, automatic scoring
The evaluation result that unit obtains automatically generates class's school report and analysis data report, is by transmission of network to educational administration, school
System, individual results are sent directly on the mobile phone of training of students；
Scoring unit obtained evaluation result i.e. real training overall scores A, A=k1*A1+k2*A2+k3*A3+k4*A4, k1, k2, k3,
K4 is achievement weighting coefficient, is set according to actual conditions by instructor；
Wherein A1 is accurate to dimension scoring: according to the requirement of measurement accuracy listed by workpiece standards of grading and actual measured value, benefit
Score A 1 is calculated with algorithm, A1 score value 0---100 divides；
Wherein A2 is processing technology quality score: being adopted by visual sensor in non-contact measurement mechanism and laser sensor
Collect the image in cutting face to judge tool surfaces quality, the standards of grading evaluation of setting workpiece surface quality provides scores
A2, A2 score value 0---100 points；
Wherein A3 is processing efficiency scoring: directly from the time needed for one workpiece of acquisition processing in controller of digital controlled machine tool, being pressed
The time is converted component number A3 by certain rule, and A3 score value 0---100 divides；
Wherein A4 is the scoring of attendance discipline: acquiring practising method attendance situation data from automatic attendance checking system by network, presses
The attendance is converted component number A4 by certain rule, and A4 score value 0---100 divides.
2. a kind of machined piece automatic measurement system according to claim 1, it is characterised in that the scoring of the A1 be according to
According to the measurement tolerance of workpiece, and tolerance includes: dimensional tolerance, form tolerance, position of related features three classes,
Assuming that benchmark is b, smallest offset dimensional tolerance is bmin, and peak excursion dimensional tolerance is bmax, and measured value x measured value is small
In smallest offset dimensional tolerance, i.e., in the size, precision meets the requirements, this achievement of the workpiece gets full marks；
Measured value is greater than peak excursion dimensional tolerance, i.e., outside the size, precision is completely undesirable, this of the workpiece at
Achievement obtains 0 point；
Measured value is between smallest offset size range, peak excursion size range, this achievement of the workpiece is based on formula (1)
Calculation obtains y,
If workpiece has n measured value, it is scored at
3. a kind of machined piece automatic measurement system according to claim 1, it is characterised in that the scoring of the A2 includes:
Morphology, four class of surface finish texture depth, burr area and injurious surface mark area-depth, every one kind account for a quarter i.e. 25
It is divided into achievement,
Assuming that morphology tolerance is a, surface finish texture depth tolerances are b, and burr area tolerance is c, injurious surface mark area
Depth tolerances are d, and measured value is respectively ax, bx, cx, dx,
By the information of visual sensor and laser sensor acquisition cutting face in non-contact measurement mechanism, through tailor-made algorithm
Measured value is calculated,
The measured value of machined surface is less than tolerance value, i.e., in the requirement of the surface quality requirements item, precision meets the requirements, the processing
This achievement in face gets full marks, and the measured value of machined surface is greater than tolerance value, and outside the requirement of the surface quality requirements item, precision is not
It meets the requirements, this achievement of the machined surface obtains 0 point；
Zi is the achievement of some machined surface, and workpiece has m machined surface
Zi takes some machined surface morphology, surface finish texture depth, burr area, four class achievement of injurious surface mark area-depth
Average value,
Zi=(Zi is by degree+Zi depth+Zi burr+Zi scar)/4
When A2 value is unqualified, overall scores A fails；When A2 value qualification, calculated by the scoring formula for calculating real training overall scores A.
4. a kind of machined piece automatic measurement system according to claim 1, it is characterised in that processing is determined in advance in teacher
The time is converted component number A3 according to the following rules by time T needed for one workpiece:
Real time t needed for processing a workpiece,
As t≤T, A3=100 points；
As t > T,
5. a kind of machined piece automatic measurement system according to claim 1, it is characterised in that the calculating of A4 is: A4 full marks
Be 100 points, deducted points to obtain the score of A4 respectively according to the number be late/left early, ask for leave and cut classes, A4 is 0 point, then this
Real training overall scores A fails.
6. a kind of machined piece automatic measurement system according to claim 1, it is characterised in that described k1, k2, k3, the k4
Default value value is 0.35,0.35,0.2 and 0.1.
7. a kind of machined piece method for automatic measurement: it is characterized by: the formula for calculating real training overall scores A is A=k1*A1+k2*
A2+k3*A3+k4*A4, wherein K1, K2, K3, K4 are achievement weighting coefficient, are set according to actual conditions by instructor,
(1) A1 is that workpiece standards of grading calculate
Measurement tolerance according to workpiece includes dimensional tolerance, form tolerance, position of related features three classes
Assuming that benchmark is b, smallest offset dimensional tolerance is bmin, and peak excursion dimensional tolerance is bmax, measured value x
Measured value is less than smallest offset dimensional tolerance, i.e., in the size, precision meets the requirements, this achievement of the workpiece obtains
Full marks；Measured value be greater than peak excursion dimensional tolerance, i.e., outside the size, precision is completely undesirable, the workpiece this
Achievement obtains 0 point,
For measured value between smallest offset size range, peak excursion size range, this achievement of the workpiece presses formula (1)
Y is calculated
If workpiece has n measured value, it is scored at
(2) A2 is that processing technology standards of grading calculate
Workpiece surface quality includes: morphology, surface finish texture depth, burr area, four class of injurious surface mark area-depth,
Every one kind accounts for a quarter i.e. 25 and is divided into achievement, it is assumed that morphology tolerance is a, and surface finish texture depth tolerances are b, burr face
Product tolerance is c, and injurious surface mark area-depth tolerance is d, and measured value is respectively ax, bx, cx, dx,
By the information of visual sensor and laser sensor acquisition cutting face in non-contact measurement mechanism, through tailor-made algorithm
Measured value is calculated,
The measured value of machined surface is less than tolerance value, i.e., in the requirement of the surface quality requirements item, precision meets the requirements, the processing
This achievement in face gets full marks, and the measured value of machined surface is greater than tolerance value, and outside the requirement of the surface quality requirements item, precision is not
It meeting the requirements, this achievement of the machined surface obtains 0 point,
Zi is the achievement of some machined surface, and workpiece has m machined surface
Zi takes some machined surface morphology, surface finish texture depth, burr area, four class achievement of injurious surface mark area-depth
Average value,
Zi=(Zi is by degree+Zi depth+Zi burr+Zi scar)/4
When A2 value is unqualified, overall scores is failed；When A2 value qualification, calculated by the formula for calculating real training overall scores A.
(3) wherein A3 is processing efficiency scoring: the time needed for acquisition one workpiece of processing, converts the time by certain rule
Component number A3, A3 score value 0---100 points；
(4) wherein A4 is the scoring of attendance discipline: acquisition practising method attendance situation data, is converted into the attendance by certain rule
Score A4, A4 score value 0---100 points.
8. a kind of machined piece method for automatic measurement according to claim 7, it is characterised in that the calculation method of A3 is to teach
Time T needed for one workpiece of processing is determined in advance in teacher, converts component number A3 for the time according to the following rules: when one work of processing
Needed for part when real time t≤T, A3=100 points；As t > T,
9. a kind of machined piece method for automatic measurement according to claim 8, calculation method of the feature in A4 are that A4 is full
Divide 100 points, late primary or primary 10 points of button of leaving early is late, leaves early accumulative 10 times, this real training overall scores is failed；It asks for leave
One class button 16.67 divides, and asks for leave 6 times, this real training overall scores is failed；A class button 20 of cutting classes divides, five class of cutting classes, this
Real training overall scores A fails.
10. a kind of machined piece method for automatic measurement according to claim 7, it is characterised in that the k1, k2, k3,
K4 default value value is 0.35,0.35,0.2 and 0.1.
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| CN112284250A (en) * | 2020-10-15 | 2021-01-29 | 浙江大学台州研究院 | Dimension measurement scoring system and measurement method based on machine vision |
| CN112304217A (en) * | 2020-10-15 | 2021-02-02 | 浙江大学台州研究院 | Dimension measurement scoring device and scoring method based on machine vision |
| CN112330599A (en) * | 2020-10-15 | 2021-02-05 | 浙江大学台州研究院 | Size measurement scoring device, adjusting method and scoring method |
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