CN115290001A - Product testing method and system - Google Patents
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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Abstract
The invention relates to the technical field of image data processing, in particular to a product testing method and a product testing system, which comprise the following steps: the control terminal is a main control end of the system and is used for sending out an execution command; the camera module is used for acquiring image data of a finished product transmitted on the detection equipment in real time; the input module is used for inputting the specification parameters and detection items of the target product detected by the system; the building module is used for obtaining input parameter data of the input module to build a virtual product appearance three-dimensional model; according to the invention, after the finished products are manufactured on the detection equipment, the deviation rectification and grabbing motions are carried out through the configured mechanical arm module, so that each group of products can run according to a set track during detection, surface image data of the products are grabbed in the motion process, finally, a three-dimensional model of the products is generated by the grabbed image data and is compared with standard product specification parameter data of an input system, and the test service can be accurately and efficiently brought to the products.
Description
Technical Field
The invention relates to the technical field of image data processing, in particular to a product testing method and system.
Background
The product refers to any article which is used and consumed by people and can meet certain requirements of people, and comprises tangible articles, intangible services, organizations, concepts or a combination of the tangible articles, intangible services, organizations and concepts.
Part product carries out intelligent detection through prior art, can judge whether it is qualified, nevertheless to the general manual operation product that passes through of this kind of open-type large-scale containers such as similar massage bathtub in the market to rely on measurement personnel's eye measurement or sense of touch to carry out the test of product function, performance, manual operation exists inefficiency, visual fatigue, to the high scheduling problem of measurement personnel requirement, lead to the work piece to judge by mistake, the false negative, the enterprise productivity is low, and along with the continuous increase of cost of labor, this kind of manual operation is more and more unsatisfied the demand of enterprise development.
Disclosure of Invention
Solves the technical problem
Aiming at the defects in the prior art, the invention provides a product testing method and a product testing system, which solve the problems that the product is generally operated manually by an open large container like a massage bathtub in the market, the function and the performance of the product are tested by visual inspection or touch feeling of a detector, the efficiency of manual operation is low, visual fatigue is high, the requirement on the detector is high, the workpiece is judged incorrectly and not judged, the enterprise capacity is low, and the manual operation does not meet the requirement of enterprise development more and more along with the continuous increase of the labor cost.
Technical scheme
In order to realize the purpose, the invention is realized by the following technical scheme:
in a first aspect, a product testing system includes:
the control terminal is a main control end of the system and is used for sending out an execution command;
the camera module is used for acquiring finished product image data transmitted on the detection equipment in real time;
the input module is used for inputting the specification parameters and detection items of the target product detected by the system;
the building module is used for obtaining input parameter data of the input module to build a virtual product appearance three-dimensional model;
the planning module is used for receiving the virtual product appearance three-dimensional model, and selecting important visual detection points and planning detection paths of the detection points by referring to the virtual product appearance three-dimensional model;
the capturing module is used for capturing image data on a detection path of the planning module in the product image data collected in the camera module;
the scanning module is used for scanning the image data acquired in the capturing module and acquiring the image ridge line to which the product belongs in the image by referring to the image data to generate a three-dimensional graph;
the comparison module is used for receiving a three-dimensional graph generated by product image data in the scanning module, a virtual product appearance three-dimensional model constructed in the construction module and an allowable error threshold set in the limiting unit, and comparing the values of the three-dimensional model image ridges of the two groups of models;
and the feedback module is used for feeding back the operation result of the control terminal comparison module and data obtained by detecting the product detection items in the input module in the detection path generated by the planning module.
Furthermore, the input module is disposed with sub-modules, including:
the limiting unit is used for setting an allowable error threshold of a detection target product;
the analysis unit is used for analyzing the attribute of the detection target product;
the data acquisition and analysis method comprises the steps that the limiting unit and the analysis unit synchronously send running data to the input module for storage, the stored data in the input module are reset every time the system starts to run, and the construction module obtains parameter data input by the input module during running and does not include data information sent to the input module by the deployment submodule in the input module.
Further, the planning module is deployed with sub-modules, including:
the marking unit is used for marking visual detection point positions on the virtual product appearance three-dimensional model;
the configuration unit is used for collecting all marking positions marked on the surface of the virtual product appearance three-dimensional model in the operation process of the marking unit and connecting the marking positions to form a detection path;
the mechanical arm module is used for grabbing the product and controlling the motion of the product;
and the position correcting unit is used for controlling the mechanical arm module to operate and grab the product to adjust the initial position and the angle state.
Furthermore, the important visual detection point locations in the planning module are selected as point locations marked by the marking unit running on the virtual product appearance three-dimensional model, and the marking unit is controlled to run on the control terminal by a user;
the camera module acquires image data of a product in real time and provides the image data to the position correcting unit to serve as a running logic basis for the position correcting unit to control the mechanical arm module to grab the product to carry out initial position and angle state adjustment, and the product adjustment target state is set according to an initial mark position of a detection path obtained by running of the configuration unit;
after the operation of the position correcting unit is finished, the mechanical arm module grabs the product and controls the product to move according to the detection path generated by the operation of the configuration unit, so that the detection point marked on the detection path passes through the camera module.
Furthermore, when the comparison module runs and the comparison of the values of the ridge lines of the two groups of models exceeds the allowable error threshold of the test target product set by the limiting unit, the comparison module ends running.
Furthermore, a submodule is deployed in the alignment module, and includes:
the gravity sensing unit is used for driving the system service product detection equipment to operate and transmit products by a user;
when the comparison module judges that the numerical value of the ridge lines of the two models exceeds the allowable error threshold value of the detection target product set by the limiting unit, the product detection equipment is controlled to stop running, a user takes the product exceeding the allowable error threshold value of the detection target product set by the limiting unit, and the gravity sensing unit controls the product detection equipment to start running again by taking the product taken by the user as a trigger signal.
Furthermore, the control terminal is electrically connected with the camera module through a medium, the control terminal is electrically connected with the input module through the medium, the input module is provided with a limiting unit and an analysis unit in a medium electrical arrangement mode, the input module is electrically connected with the construction module and the planning module through the medium, the planning module is provided with a marking unit, a configuration unit, a mechanical arm module and a position correcting unit in a medium electrical arrangement mode, the marking unit is electrically connected with the control terminal, the position correcting unit is electrically connected with the camera module, the planning module is connected with the capturing module, the scanning module, the comparison module and the feedback module through the medium electrical arrangement mode, the capturing module is connected with the camera module through the medium electrical arrangement mode, and the comparison module is provided with a gravity sensing unit in the medium electrical arrangement mode.
In a second aspect, a method of product testing, comprising the steps of:
step1: acquiring standard specification parameters of a test product, and setting a product test error threshold and a detection item;
step2: deploying monitoring equipment to the product detection equipment, and acquiring finished product image data transmitted by the product detection equipment in real time;
step3: constructing a product virtual model according to the standard specification and parameters of the tested product, and designing a detection path of the parameter data of the specification of the product surface;
step4: configuring mechanical arm equipment, mechanical arm equipment operation logic and mechanical arm equipment correction product initial state logic according to the detection path;
step5: the monitoring equipment collects product detection project data in the operation process of the mechanical arm equipment, constructs a three-dimensional image model of a current test product according to image data in the detection project data, and correspondingly compares the specification parameter data of the three-dimensional image model with the standard specification parameter value obtained in Step 1;
step6: and judging whether the product transmitted on the current product detection equipment is qualified or not according to whether the difference value between the three-dimensional image model of the comparison result and the standard specification parameter value is within the set product test error threshold value or not and the detection item result.
Furthermore, in Step4, the operation logic of the mechanical arm equipment and the initial state logic of the deviation-correcting product of the mechanical arm equipment are implemented by two sets of mechanical arm equipment.
Furthermore, the image data of each view angle of the product collected in Step5 is a product entity data numerical value.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the invention provides a product testing system, which can obtain the basis of product qualification judgment in a mode of inputting standard product specification parameter data when in use, after a finished product is manufactured on a detection device, deviation rectification and grabbing motions are carried out through a configured mechanical arm module, so that each group of products can run according to a set track when being detected, surface image data of the products are grabbed in the motion process, and finally, a three-dimensional model of the products is generated by grabbing the image data and is compared with the standard product specification parameter data of an input system, and the testing service can be accurately and efficiently brought to the products.
2. The invention provides a product testing method, and through the implementation of the method, a mechanical arm module used for product detection can be provided with specific operation logic and correction logic before the product is grabbed and operated, so that the product detection process is more intelligent, and the occupation ratio of manual participation in the product testing process is reduced.
3. The invention can generate a detection path for product detection in an adaptive manner according to the user setting in the using process, the detection path can enable the detection judgment to obtain image data with the best position and angle, and the error and the deformation of the product can be detected, thereby ensuring that the product detection result is more consistent with the actual condition of the product.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of a product testing system;
FIG. 2 is a schematic flow chart of a product testing method;
FIG. 3 is a schematic diagram of a conceptual configuration of a product testing apparatus according to the present invention;
FIG. 4 is a schematic top view of FIG. 3 according to the present invention;
FIG. 5 is a schematic side view of FIG. 3 according to the present invention;
FIG. 6 is a schematic front view of FIG. 3 according to the present invention;
the reference numerals in the drawings represent: 1. a control terminal; 11. a camera module; 2. an input module; 21. a limiting unit; 22. an analysis unit; 3. building a module; 4. a planning module; 41. a marking unit; 42. a configuration unit; 43. a mechanical arm module; 44. a position correcting unit; 5. a capture module; 6. a scanning module; 7. a comparison module; 71. a gravity sensing unit; 8. a feedback module;
a1, a transmission component; a2, a shaft truss; a3, a mechanical arm; a4, products to be detected; a5, detecting a camera; a6, a test board and a test system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be further described with reference to the following examples.
Example 1
A product testing system of this embodiment, as shown in fig. 1, includes:
the control terminal 1 is a main control end of the system and is used for sending out an execution command;
the camera module 11 is used for acquiring image data of a finished product transmitted on the detection equipment in real time;
the input module 2 is used for inputting the specification parameters and detection items of the target product detected by the system;
the building module 3 is used for obtaining the input parameter data of the input module 2 to build a virtual product appearance three-dimensional model;
the planning module 4 is used for receiving the virtual product appearance three-dimensional model, and selecting important visual detection points and planning detection paths of the detection points by referring to the virtual product appearance three-dimensional model;
the capturing module 5 is used for capturing image data on a detection path of the planning module 4 in the product image data collected in the camera module 11;
the scanning module 6 is used for scanning the image data acquired in the capturing module 5, and acquiring the image ridge of the product attribution in the image by referring to the image data to generate a three-dimensional graph;
the comparison module 7 is used for receiving the three-dimensional graph generated by the product image data in the scanning module 6, the virtual product appearance three-dimensional model constructed in the construction module 3 and the allowable error threshold value set in the limiting unit 21, and performing numerical comparison of the three-dimensional model image ridge lines on the two groups of models;
and the feedback module 8 is used for feeding back the operation result of the comparison module 7 of the control terminal 1 and data obtained by detecting the product detection items in the input module 2 in the detection path generated by the planning module 4.
In this embodiment, the control terminal 1 controls the camera module 11 to run in real time during the running process of the product detection device, and controls the input module 2 to start the specification parameters and detection items of a target product tested by the input system before the product detection device runs, the synchronous building module 3 runs to acquire the data of the input parameters input by the input module 2 to build a virtual product appearance three-dimensional model, the planning module 4 receives the virtual product appearance three-dimensional model, the virtual product appearance three-dimensional model is selected and the detection path of the detection points is planned with reference to the virtual product appearance three-dimensional model, the capturing module 5 captures the image data on the detection path of the planning module 4 in the product image data collected by the camera module 11 in real time, the scanning module 6 operates to scan the image data acquired by the capturing module 5, the reference image data acquires the image edge line to which the product belongs in the image to generate a three-dimensional graph, finally the comparison module 7 runs to receive the three-dimensional graph generated by the product image data in the scanning module 6, the virtual product appearance model built in the building module 3 and the allowable error threshold set in the limiting unit 21, the three-dimensional model is compared with the two sets, the value of the image edge lines of the three-dimensional model, the feedback module 8, and the comparison module 7 feeds back the comparison result, and the detection items generated by the detection module 7 in the detection item generated by comparing the detection module 2.
Example 2
In a specific implementation level, on the basis of embodiment 1, this embodiment further specifically describes the product testing system in embodiment 1 with reference to fig. 1:
as shown in fig. 1, the input module 2 is disposed with sub-modules, including:
a limiting unit 21 for setting a threshold of allowable error of the detection target product;
an analyzing unit 22 for analyzing the attribute of the detection target product;
the operation data of the limiting unit 21 and the operation data of the analyzing unit 22 are synchronously sent to the input module 2 for storage, the stored data in the input module 2 are reset each time the system is started and operated, and the parameter data input by the input module 2 obtained when the constructing module 3 operates does not include the data information sent to the input module 2 by the deploying submodule in the input module 2.
The limiting unit 21 provides threshold determination of an error allowable range during alignment of the three-dimensional models of the subsequent products, and the analyzing unit 22 can test the attributes of the test target products, so that the subsequently monitored unqualified products can determine the processing mode of the unqualified products according to the attributes of the test target products obtained in the analyzing unit 22.
As shown in fig. 1, the planning module 4 is deployed with sub-modules, including:
the marking unit 41 is used for marking visual detection point positions on the virtual product appearance three-dimensional model;
the configuration unit 42 is used for acquiring all marking positions marked on the surface of the virtual product appearance three-dimensional model in the operation process of the marking unit 41 and connecting the marking positions to form a detection path;
the mechanical arm module 43 is used for grabbing the product and controlling the motion of the product;
and the position correcting unit 44 is used for controlling the mechanical arm module 43 to operate and grab the product to adjust the initial position and the angle state.
As shown in fig. 1, the important visual inspection point locations in the planning module 4 are selected as the point locations marked by the marking unit 41 running on the three-dimensional model of the appearance of the virtual product, and the marking unit 41 is controlled by the user to run on the control terminal 1;
the camera module 11 acquires image data of a product in real time and provides the image data to the position correcting unit 44 to serve as a running logic basis for the position correcting unit 44 to control the mechanical arm module 43 to grab the product and adjust the initial position and the angle state, and the product adjustment target state is set according to the initial mark position of the detection path obtained by the running of the configuration unit 42;
after the operation of the position correcting unit 44, the mechanical arm module 43 grabs the product and controls the movement of the product according to the detection path generated by the operation of the configuration unit 42, so that the detection point marked on the detection path passes through the camera module 11.
Through the arrangement of the sub-modules in the planning module 4, the product can be uniformly detected through the designated position and the designated running path during testing, so that the detection process of the product is simplified, the detection process is more stable, and the accuracy is higher.
As shown in fig. 1, when the comparison module 7 runs, and the comparison of the values of the ridge lines of the two groups of models exceeds the allowable error threshold of the test target product set by the limiting unit 21, the comparison module 7 ends the running.
As shown in fig. 1, the comparison module 7 is deployed with sub-modules, including:
the gravity sensing unit 71 is used for driving the system service product detection equipment to operate and transmit products by a user;
wherein, comparing module 7 and surpassing when limiting unit 21 sets for the permissible error threshold value of detecting the target product, controlling product detection equipment stop operation when judging the numerical value comparison of the crest line of two sets of models, the user takes the product that surpasss limiting unit 21 and sets for the permissible error threshold value of detecting the target product, gravity induction unit 71 uses the product that the user took as trigger signal to control product detection equipment start-up operation once more.
The gravity induction type machine tool control method has the advantages that the condition for sorting qualified products and unqualified products can be provided when a user operates the product detection equipment carrying the system, the gravity induction type machine tool control method is adopted, convenience is realized, and the operation safety factor is relatively high.
As shown in fig. 1, the control terminal 1 is electrically connected to the camera module 11 through a medium, the control terminal 1 is electrically connected to the input module 2 through a medium, the input module 2 is electrically disposed with the limiting unit 21 and the analyzing unit 22 through a medium, the input module 2 is electrically connected to the constructing module 3 and the planning module 4 through a medium, the planning module 4 is electrically disposed with the marking unit 41, the configuring unit 42, the robot arm module 43 and the positioning unit 44 through a medium, the marking unit 41 is electrically connected to the control terminal 1, the positioning unit 44 is electrically connected to the camera module 11, the planning module 4 is electrically connected to the capturing module 5, the scanning module 6, the comparing module 7 and the feedback module 8 through a medium, the capturing module 5 is electrically connected to the camera module 11 through a medium, and the comparing module 7 is electrically disposed with the gravity sensing unit 71 through a medium.
Example 3
In a specific implementation level, on the basis of embodiment 1, this embodiment further specifically describes the product testing system in embodiment 1 with reference to fig. 2:
a method of product testing, comprising the steps of:
step1: acquiring standard specification parameters of a tested product, and setting a product test error threshold and detection items;
step2: deploying monitoring equipment to the product detection equipment, and acquiring finished product image data transmitted by the product detection equipment in real time;
step3: constructing a product virtual model according to the standard specification and parameters of the tested product, and designing a detection path of the parameter data of the specification of the product surface;
step4: configuring mechanical arm equipment, mechanical arm equipment operation logic and mechanical arm equipment correction product initial state logic according to the detection path;
step5: the monitoring equipment collects product detection project data in the operation process of the mechanical arm equipment, constructs a three-dimensional image model of a current test product according to image data in the detection project data, and correspondingly compares the specification parameter data of the three-dimensional image model with the standard specification parameter value obtained in Step 1;
step6: and judging whether the product transmitted on the current product detection equipment is qualified or not according to whether the difference value between the three-dimensional image model of the comparison result and the standard specification parameter value is within the set product test error threshold value or not and the detection item result.
As shown in FIG. 2, in Step4, the operation logic of the mechanical arm equipment and the initial state logic of the deviation-correcting product of the mechanical arm equipment are implemented by two sets of mechanical arm equipment.
As shown in fig. 2, the image data of each view angle of the product collected in Step5 is a product entity data value.
Example 4
As shown in fig. 3-6, the entity of the product A4 to be detected is a bathtub, which needs to be tested after being manufactured, the system and the method in the above embodiment are deployed on a test bench and a test system A6, and then the transmission component A1, the shaft truss A2, the mechanical arm A3, and the detection camera A5 are driven to operate, so that a large amount of data can be detected on the bathtub, the bathtub is placed in a sealed box in a synchronous matching manner, the inner cavity of the product is sealed, and then tracer gas is injected into the inner cavity of the product, when the product has a leak point, the tracer gas can leak from the leak point into the sealed box, and a tracer gas detector arranged around the sealed box can alarm, so that whether the leak point exists and the position of the leak point can be judged, and the traditional water injection test between finished products of the bathtub is avoided;
the above description is the application of the technical scheme in the actual production process, and the effectiveness of the technical scheme in the actual application process can be easily seen.
In summary, the technical solutions provided in the embodiments can obtain the basis of product qualification determination by inputting standard product specification parameter data, and after finished products are manufactured on products and detection equipment, deviation rectification and grabbing motions are performed through a configured mechanical arm module, so that each group of products can run according to a set track during detection, surface image data of the products are grabbed during the motion process, and finally, a three-dimensional model of the products is generated by grabbing the image data and is compared with the standard product specification parameter data of an input system, and thus, test service can be accurately and efficiently brought to the products; meanwhile, the mechanical arm module for product detection can be provided with specific operation logic and correction logic before product grabbing operation, so that the detection process of the product is more intelligent, and the occupation ratio of manual participation in the product testing process is reduced; and the detection path for product detection can be generated adaptively according to the user setting, the detection and judgment can be carried out through the detection path to obtain the image data with the best position and angle, the error and the deformation of the product can be detected, and the product detection result is ensured to be more consistent with the actual condition of the product.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A product testing system, comprising:
the control terminal (1) is a main control end of the system and is used for sending out an execution command;
the camera module (11) is used for acquiring image data of a finished product transmitted on the detection equipment in real time;
the input module (2) is used for inputting the specification parameters and detection items of the target product detected by the system;
the building module (3) is used for obtaining the input parameter data of the input module (2) to build a virtual product appearance three-dimensional model;
the planning module (4) is used for receiving the virtual product appearance three-dimensional model, and selecting important visual detection point positions and planning detection path of the detection point positions by referring to the virtual product appearance three-dimensional model;
the capturing module (5) is used for capturing image data on a detection path of the planning module (4) in the product image data collected in the camera module (11);
the scanning module (6) is used for scanning the image data acquired in the capturing module (5) and acquiring the image ridge of the product attribution in the image by referring to the image data to generate a three-dimensional graph;
the comparison module (7) is used for receiving a three-dimensional graph generated by product image data in the scanning module (6), a virtual product appearance three-dimensional model constructed in the construction module (3) and an allowable error threshold set in the limiting unit (21) and comparing the values of the ridges of the three-dimensional model images of the two groups of models;
and the feedback module (8) is used for feeding back the operation result of the comparison module (7) of the control terminal (1) and data obtained by detecting the product detection items in the input module (2) in the detection path generated by the planning module (4).
2. A production test system according to claim 1, characterized in that a sub-module is deployed in the input module (2), comprising:
a limiting unit (21) for setting a threshold value of an allowable error of the detection target product;
an analysis unit (22) for analyzing the attribute of the detection target product;
the operation data of the limiting unit (21) and the operation data of the analyzing unit (22) are synchronously sent to the input module (2) to be stored, the stored data in the input module (2) are reset when the system is started and operated every time, and the parameter data acquired by the operation of the constructing module (3) and input by the input module (2) do not include data information sent to the input module (2) by a deployment sub-module in the input module (2).
3. A production test system according to claim 1, characterized in that a sub-module is deployed in the planning module (4) and comprises:
the marking unit (41) is used for marking visual detection point positions on the virtual product appearance three-dimensional model;
the configuration unit (42) is used for collecting all marking positions marked on the surface of the virtual product appearance three-dimensional model in the operation process of the marking unit (41), and the marking positions are connected to form a detection path;
the mechanical arm module (43) is used for grabbing the product and controlling the movement of the product;
and the position correcting unit (44) is used for controlling the mechanical arm module (43) to operate and grab the product to adjust the initial position and the angle state.
4. A product testing system according to claim 1, characterized in that the important visual detection point locations in the planning module (4) are selected as the point locations marked by the marking unit (41) running on the virtual product appearance three-dimensional model, and the marking unit (41) is controlled by the user to run on the control terminal (1);
the camera module (11) acquires image data of a product in real time and provides the image data to the position correction unit (44) to serve as an operation logic basis for the position correction unit (44) to control the mechanical arm module (43) to grab the product to perform initial position and angle state adjustment, and the product adjustment target state is set according to an initial mark position of a detection path obtained by the operation of the configuration unit (42);
after the operation of the position correcting unit (44), the mechanical arm module (43) grabs the product and controls the product to move according to a detection path generated by the operation of the configuration unit (42), so that the detection point marked on the detection path passes through the camera module (11).
5. A product testing system according to claim 1, characterized in that when the comparison module (7) is running, the comparison module (7) ends running when the value comparison of the ridge lines of the two sets of models exceeds the allowable error threshold of the test target product set by the limiting unit (21).
6. A production testing system according to claim 1, characterized in that a sub-module is deployed in the alignment module (7), comprising:
the gravity sensing unit (71) is used for driving the system service product detection equipment to operate and transmit products by a user;
the comparison module (7) controls the product detection equipment to stop running when the comparison of the numerical values of the ridge lines of the two groups of models exceeds the allowable error threshold value of the detection target product set by the limiting unit (21), a user takes the product exceeding the allowable error threshold value of the detection target product set by the limiting unit (21), and the gravity sensing unit (71) controls the product detection equipment to start running again by taking the product taken by the user as a trigger signal.
7. A product testing system according to claim 1, wherein the control terminal (1) is electrically connected to the camera module (11) through a medium, the control terminal (1) is electrically connected to the input module (2) through a medium, the input module (2) is electrically disposed with the limiting unit (21) and the analyzing unit (22) through a medium, the input module (2) is electrically connected to the building module (3) and the planning module (4) through a medium, the planning module (4) is electrically disposed with the marking unit (41), the configuring unit (42), the manipulator module (43) and the calibrating unit (44) through a medium, the marking unit (41) is electrically connected to the control terminal (1), the calibrating unit (44) is electrically connected to the camera module (11), the planning module (4) is electrically connected to the capturing module (5), the scanning module (6), the comparing module (7) and the feedback module (8) through a medium, the capturing module (5) is electrically connected to the camera module (11) through a medium, and the comparing module (7) is disposed with the medium sensing unit (71).
8. A method of product testing, the method being a method of implementing a product testing system as claimed in claim 1, comprising the steps of:
step1: acquiring standard specification parameters of a tested product, and setting a product test error threshold and detection items;
step2: deploying monitoring equipment to the product detection equipment, and acquiring finished product image data transmitted by the product detection equipment in real time;
step3: constructing a product virtual model according to the standard specification and parameters of the tested product, and designing a detection path of the parameter data of the specification of the product surface;
step4: configuring mechanical arm equipment, mechanical arm equipment operation logic and mechanical arm equipment correction product initial state logic according to the detection path;
step5: the monitoring equipment collects product detection project data in the operation process of the mechanical arm equipment, constructs a three-dimensional image model of a current test product according to image data in the detection project data, and correspondingly compares the specification parameter data of the three-dimensional image model with the standard specification parameter value obtained in Step 1;
step6: and judging whether the product transmitted on the current product detection equipment is qualified or not according to whether the difference value between the three-dimensional image model of the comparison result and the standard specification parameter value is within the set product test error threshold value or not and the detection item result.
9. The method as claimed in claim 8, wherein the Step4 arm equipment run logic and arm equipment deskew product initial state logic are implemented using two sets of arm equipment.
10. The product testing method as claimed in claim 8, wherein the image data of each view angle of the product collected in Step5 is a product entity data value.
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| CN202211227565.4A CN115290001A (en) | 2022-10-09 | 2022-10-09 | Product testing method and system |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115508034A (en) * | 2022-11-20 | 2022-12-23 | 中国船舶重工集团公司第七一九研究所 | Ship composite vibration test system and construction method thereof |
| CN115616975A (en) * | 2022-11-11 | 2023-01-17 | 广东理工学院 | Error detection system for numerical control machining |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050284937A1 (en) * | 2004-06-25 | 2005-12-29 | Ning Xi | Automated dimensional inspection |
| CN109876968A (en) * | 2019-03-22 | 2019-06-14 | 希美埃（芜湖）机器人技术有限公司 | A kind of steel construction Control During Paint Spraying by Robot automatic path planning method |
| CN111551113A (en) * | 2020-05-19 | 2020-08-18 | 南京航空航天大学 | Quality inspection method for large-batch aviation parts |
| WO2021248650A1 (en) * | 2020-06-10 | 2021-12-16 | 南京英尼格玛工业自动化技术有限公司 | Reverse reconstruction method for high-speed rail sleeper beam process hole |
| CN114152677A (en) * | 2021-11-22 | 2022-03-08 | 南京晨光集团有限责任公司 | Complex die forging ultrasonic automatic detection device |
| CN114413788A (en) * | 2022-01-21 | 2022-04-29 | 武汉惟景三维科技有限公司 | Part surface pattern detection method based on binocular vision and reverse model reconstruction |
-
2022
- 2022-10-09 CN CN202211227565.4A patent/CN115290001A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050284937A1 (en) * | 2004-06-25 | 2005-12-29 | Ning Xi | Automated dimensional inspection |
| CN109876968A (en) * | 2019-03-22 | 2019-06-14 | 希美埃（芜湖）机器人技术有限公司 | A kind of steel construction Control During Paint Spraying by Robot automatic path planning method |
| CN111551113A (en) * | 2020-05-19 | 2020-08-18 | 南京航空航天大学 | Quality inspection method for large-batch aviation parts |
| WO2021248650A1 (en) * | 2020-06-10 | 2021-12-16 | 南京英尼格玛工业自动化技术有限公司 | Reverse reconstruction method for high-speed rail sleeper beam process hole |
| CN114152677A (en) * | 2021-11-22 | 2022-03-08 | 南京晨光集团有限责任公司 | Complex die forging ultrasonic automatic detection device |
| CN114413788A (en) * | 2022-01-21 | 2022-04-29 | 武汉惟景三维科技有限公司 | Part surface pattern detection method based on binocular vision and reverse model reconstruction |
Cited By (21)
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|---|---|---|---|---|
| CN115831812A (en) * | 2022-11-10 | 2023-03-21 | 上海威固信息技术股份有限公司 | Module identification packaging method and system for chip module design |
| CN115831812B (en) * | 2022-11-10 | 2024-01-26 | 上海威固信息技术股份有限公司 | Module identification packaging method and system for chip module design |
| CN115616975A (en) * | 2022-11-11 | 2023-01-17 | 广东理工学院 | Error detection system for numerical control machining |
| CN115903669A (en) * | 2022-11-11 | 2023-04-04 | 广东理工学院 | High-stability intelligent machine manufacturing system |
| CN115508034A (en) * | 2022-11-20 | 2022-12-23 | 中国船舶重工集团公司第七一九研究所 | Ship composite vibration test system and construction method thereof |
| CN115508034B (en) * | 2022-11-20 | 2023-02-28 | 中国船舶重工集团公司第七一九研究所 | Ship composite vibration test system and construction method thereof |
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| CN116631543A (en) * | 2023-05-24 | 2023-08-22 | 深圳市万兆通光电技术有限公司 | Material S parameter measurement method and system based on state equation |
| CN116631543B (en) * | 2023-05-24 | 2024-02-06 | 深圳市万兆通光电技术有限公司 | Material S parameter measurement method and system based on state equation |
| CN116342602A (en) * | 2023-05-30 | 2023-06-27 | 四川都得利管业有限公司 | Fine detection method and system for production quality of plastic pipe |
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| CN117029921B (en) * | 2023-08-09 | 2024-05-31 | 深圳市丰华日昇科技有限公司 | Intelligent detection equipment and method for electronic element |
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