CN116336944A - Full-size optical detection method and system for battery module - Google Patents
Full-size optical detection method and system for battery module Download PDFInfo
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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
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Abstract
The invention provides a full-size optical detection method and a full-size optical detection system for a battery module, which belong to the technical field of battery module detection, wherein the method comprises the following steps: step S10, standard size data of a standard battery module are obtained; step S20, the PLC drives the servo transplanting mechanism to link the two 2D cameras and the two 3D cameras to perform triaxial displacement based on standard size data so as to calibrate shooting points of the standard battery module, generate shooting paths based on the shooting points, and record shooting times required to be completed when the shooting points are moved to the shooting points; step S30, the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, and based on the shooting path and shooting times, each 2D camera and each 3D camera are respectively moved to corresponding shooting points to shoot 2D photos and 3D photos; step S40, calculating actual size data of the battery module to be tested based on each 2D photo and each 3D photo; and step S50, generating a detection report based on the actual size data. The invention has the advantages that: the full-size detection precision and efficiency of the battery module are greatly improved.
Description
Technical Field
The invention relates to the technical field of battery module detection, in particular to a full-size optical detection method and system for a battery module.
Background
Under the new industrial period, the battery module (power battery) enters a large-scale manufacturing era, and the battery capacity and the endurance time requirements of the market are gradually increased, so that enterprises are forced to continuously explore new technologies and processes, thereby reducing the manufacturing cost, efficiently and stably producing the battery module and improving the product quality.
After the battery module is produced, not only the relevant performance index of the battery module is required to be detected, but also the size of the battery module is required to be detected. For size detection of the battery module, conventionally, a three-coordinate detection machine or a method of manually using a vernier caliper for detection is adopted, and the following disadvantages exist: the detection precision of the detection equipment or the detection means is low, the detection speed is low, and the detection data can not be processed in time due to the need of manual recording, so that the requirement of large-scale automatic production can not be met.
Therefore, how to provide a full-size optical detection method and system for a battery module, so as to improve the accuracy and efficiency of full-size detection of the battery module, is a technical problem to be solved.
Disclosure of Invention
The invention aims to solve the technical problem of providing a full-size optical detection method and system for a battery module, which can improve the full-size detection precision and efficiency of the battery module.
In a first aspect, the present invention provides a full-size optical detection method for a battery module, including the following steps:
step S10, the vision software system acquires standard size data of a standard battery module input by a touch screen;
step S20, the PLC drives a servo transplanting mechanism to link two 2D cameras and two 3D cameras to perform triaxial displacement based on the standard size data so as to calibrate shooting points of a standard battery module, generate shooting paths based on the shooting points, and record shooting times required to be completed when the shooting points are moved to the shooting points;
step S30, the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, and based on the shooting path and the shooting times, each 2D camera and each 3D camera are respectively moved to corresponding shooting points to shoot 2D photos and 3D photos;
step S40, the vision software system calculates the actual size data of the battery module to be tested based on each 2D photo and 3D photo;
and step S50, the vision software system generates and stores a detection report based on the actual size data.
Further, in the step S10, the standard size data includes at least a length, a width, a height, a hole diameter, a hole position degree, a flatness, and an end plate distance of the battery module.
Further, the step S20 specifically includes:
after the servo transplanting mechanism is initialized, the PLC controls the positioning clamping mechanism to clamp the standard battery module, the servo transplanting mechanism is driven to link the two 2D cameras and the two 3D cameras to perform triaxial displacement, so that the two 3D cameras respectively move to the upper side and the lower side of the standard battery module, and the shooting directions of the 2D cameras and the 3D cameras face the standard battery module so as to calibrate shooting points of the standard battery module;
and generating shooting paths of each 2D camera and each 3D camera based on each shooting point, and respectively recording shooting times required to be completed when each 2D camera and each 3D camera move to each shooting point.
Further, the step S30 specifically includes:
after the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, the servo transplanting mechanism is initialized, based on the shooting path, each 2D camera and each 3D camera are moved to a first shooting point position to shoot a 2D photo and a 3D photo through the servo transplanting mechanism, after shooting is judged to be completed based on the shooting times, each 2D camera and each 3D camera are moved to the next shooting point position through the servo transplanting mechanism until shooting work of all the shooting point positions is completed.
Further, the step S40 specifically includes:
after preprocessing each 2D photo, the vision software system carries out rough positioning through feature matching and affine transformation, then a circle is fitted through a circle finding tool to obtain aperture and circle center coordinates, a coordinate system is rebuilt based on the circle center coordinates, the length and the width of a battery module to be detected are calculated based on the aperture and the circle center coordinates of the hole sites at the edges of the two ends, and the hole position is calculated based on the circle center coordinates;
the vision software system calculates the height of the battery module to be tested based on the height difference of the two 3D photos; selecting N points from the 3D photo shot below the battery module to be tested, and calculating the flatness of the bottom of the battery module to be tested by using a least square fitting plane, wherein N is a positive integer; and obtaining the distance between the end plates based on depth information carried by the 3D photo taken from the lower side of the battery module to be tested.
In a second aspect, the present invention provides a full-size optical detection system for a battery module, including:
the standard size data acquisition module is used for acquiring standard size data of the standard battery module input by the touch screen through the vision software system;
the shooting point calibration module is used for driving the servo transplanting mechanism to link the two 2D cameras and the two 3D cameras to perform triaxial displacement based on the standard size data so as to calibrate shooting points of the standard battery module, generating shooting paths based on the shooting points, and recording shooting times required to be completed when the shooting points are moved to the shooting points;
the shooting module is used for controlling the positioning and clamping mechanism to clamp the battery module to be tested by the PLC, and respectively moving each 2D camera and each 3D camera to corresponding shooting points to shoot 2D photos and 3D photos based on the shooting path and shooting times;
the dimension data calculation module is used for calculating the actual dimension data of the battery module to be tested based on each 2D photo and 3D photo by the vision software system;
and the detection report generation and storage module is used for generating and storing a detection report based on the actual size data by the vision software system.
Further, in the standard size data acquisition module, the standard size data at least includes a length, a width, a height, a hole diameter, a hole position degree, a flatness, and an end plate distance of the battery module.
Further, the shooting point calibration module is specifically configured to:
after the servo transplanting mechanism is initialized, the PLC controls the positioning clamping mechanism to clamp the standard battery module, the servo transplanting mechanism is driven to link the two 2D cameras and the two 3D cameras to perform triaxial displacement, so that the two 3D cameras respectively move to the upper side and the lower side of the standard battery module, and the shooting directions of the 2D cameras and the 3D cameras face the standard battery module so as to calibrate shooting points of the standard battery module;
and generating shooting paths of each 2D camera and each 3D camera based on each shooting point, and respectively recording shooting times required to be completed when each 2D camera and each 3D camera move to each shooting point.
Further, the shooting module is specifically configured to:
after the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, the servo transplanting mechanism is initialized, based on the shooting path, each 2D camera and each 3D camera are moved to a first shooting point position to shoot a 2D photo and a 3D photo through the servo transplanting mechanism, after shooting is judged to be completed based on the shooting times, each 2D camera and each 3D camera are moved to the next shooting point position through the servo transplanting mechanism until shooting work of all the shooting point positions is completed.
Further, the size data calculation module is specifically configured to:
after preprocessing each 2D photo, the vision software system carries out rough positioning through feature matching and affine transformation, then a circle is fitted through a circle finding tool to obtain aperture and circle center coordinates, a coordinate system is rebuilt based on the circle center coordinates, the length and the width of a battery module to be detected are calculated based on the aperture and the circle center coordinates of the hole sites at the edges of the two ends, and the hole position is calculated based on the circle center coordinates;
the vision software system calculates the height of the battery module to be tested based on the height difference of the two 3D photos; selecting N points from the 3D photo shot below the battery module to be tested, and calculating the flatness of the bottom of the battery module to be tested by using a least square fitting plane, wherein N is a positive integer; and obtaining the distance between the end plates based on depth information carried by the 3D photo taken from the lower side of the battery module to be tested.
The invention has the advantages that:
calibrating shooting points of the 2D camera and the 3D camera based on the standard battery module, generating a shooting path based on each shooting point, recording shooting times required to be completed when the shooting points are moved to each shooting point, and respectively moving each 2D camera and each 3D camera to the corresponding shooting point based on the shooting path and the shooting times so as to shoot a 2D photo and a 3D photo of the battery module to be tested; the size data including the actual length, width, height, aperture, hole position degree, flatness and end plate distance of the battery module to be detected are calculated based on each 2D photo and 3D photo, a detection report is automatically generated and stored based on the actual size data, namely, full-size automatic detection is carried out on the battery module based on the 2D camera and the 3D camera, the detection report is automatically generated and stored, manual operation is not needed, manual recording and calculation are not needed, the detection precision of optical detection based on the 2D camera and the 3D camera is far higher than that of a three-dimensional detector and a vernier caliper, and finally, the precision and efficiency of full-size detection of the battery module are greatly improved.
Drawings
The invention will be further described with reference to examples of embodiments with reference to the accompanying drawings.
Fig. 1 is a flowchart of a full-size optical detection method of a battery module according to the present invention.
Fig. 2 is a schematic structural view of a full-size optical detection system for a battery module according to the present invention.
Detailed Description
According to the technical scheme in the embodiment of the application, the overall thought is as follows: full-size automated inspection of contactless is carried out to battery module based on 2D camera and 3D camera to automatically generate and store the detection report, and the detection precision of optical detection based on 2D camera and 3D camera is far higher than three-dimensional detection machine and slide caliper rule, and then promotes the precision and the efficiency that battery module was full-size detected.
Referring to fig. 1 to 2, a preferred embodiment of a full-size optical detection method for a battery module according to the present invention includes the following steps:
step S10, a vision software system acquires standard size data of a standard battery module, which is input by a user through a touch screen;
step S20, the PLC drives a servo transplanting mechanism to link two 2D cameras and two 3D cameras (3D profilers) to perform triaxial displacement based on the standard size data so as to calibrate shooting points of a standard battery module, generates shooting paths based on the shooting points, and records shooting times required to be completed when the shooting points are moved to the shooting points; the shooting times are used for checking whether the 2D camera or the 3D camera completes shooting work at the corresponding shooting point, for example, 1 photo needs to be shot sequentially at the shooting point 1, the shooting point 2 and the shooting point 3, but after moving to the shooting point 3, two photos are shot only after the two photos are found, and the shooting point 3 can be judged to not complete shooting work yet;
step S30, the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, and based on the shooting path and the shooting times, each 2D camera and each 3D camera are respectively moved to corresponding shooting points to shoot 2D photos and 3D photos;
step S40, the vision software system calculates the actual size data of the battery module to be tested based on each 2D photo and 3D photo;
s50, the vision software system generates and stores a detection report based on the actual size data; the detection report at least carries detection time, actual size data, standard size data, a difference value between the actual size data and the standard size data and a detection result; the detection result is qualified or unqualified;
and carrying out hash calculation on the detection report to obtain a hash value, and carrying out encryption storage on the detection report and the hash value by using a preset key. By carrying out hash calculation on the detection report, the integrity of the detection report can be quickly checked by utilizing a hash value, whether the detection report is tampered or not can be quickly checked, encryption is carried out through the secret key, the detection report is prevented from being stolen by plaintext, and the safety of the detection report is further greatly ensured.
In the step S10, the standard size data includes at least the length, width, height, aperture, hole position, flatness of the battery module, and the distance of the end plate (the difference in height from the end plate to the bottom of the battery module).
The step S20 specifically includes:
after the servo transplanting mechanism is initialized, the PLC controls the positioning clamping mechanism to clamp the standard battery module, the servo transplanting mechanism is driven to link the two 2D cameras and the two 3D cameras to perform triaxial displacement, nine-point calibration is performed on the 2D cameras, the two 3D cameras are respectively moved above and below the standard battery module, and shooting directions of the 2D cameras and the 3D cameras face the standard battery module so as to calibrate shooting points of the standard battery module;
and generating shooting paths of each 2D camera and each 3D camera based on each shooting point, and respectively recording shooting times required to be completed when each 2D camera and each 3D camera move to each shooting point. In specific implementation, shooting point positions can be calibrated based on battery modules of different models respectively, and corresponding shooting paths and shooting times are generated.
The servo transplanting mechanism is driven by a servo driver, and the PLC converts servo control of the servo transplanting mechanism into shaft control so as to realize three-axis linkage of the installed 2D camera and 3D camera.
The step S30 specifically includes:
after the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, the servo transplanting mechanism is initialized, based on the shooting path, each 2D camera and each 3D camera are moved to a first shooting point position to shoot a 2D photo and a 3D photo through the servo transplanting mechanism, after shooting is judged to be completed based on the shooting times, each 2D camera and each 3D camera are moved to the next shooting point position through the servo transplanting mechanism until shooting work of all the shooting point positions is completed.
The step S40 specifically includes:
after preprocessing each 2D photo, the vision software system carries out rough positioning through feature matching and affine transformation, then a circle is fitted through a circle finding tool to obtain aperture and circle center coordinates, a coordinate system is rebuilt based on the circle center coordinates, the length and the width of a battery module to be detected are calculated based on the aperture and the circle center coordinates of the hole sites at the edges of the two ends, and the hole position is calculated based on the circle center coordinates;
the vision software system calculates the height of the battery module to be tested based on the height difference of the two 3D photos; selecting N points from the 3D photo shot below the battery module to be tested, and calculating the flatness of the bottom of the battery module to be tested by using a least square fitting plane, wherein N is a positive integer; and obtaining the distance between the end plates based on depth information carried by the 3D photo taken from the lower side of the battery module to be tested.
The preferred embodiment of the full-size optical detection system of the battery module comprises the following modules:
the standard size data acquisition module is used for acquiring standard size data of the standard battery module, which are input by a user through the touch screen, by the vision software system;
the shooting point calibration module is used for driving the servo transplanting mechanism to link the two 2D cameras and the two 3D cameras (3D profilers) to perform triaxial displacement based on the standard size data so as to calibrate shooting points of the standard battery module, generating shooting paths based on the shooting points, and recording shooting times required to be completed when the shooting points are moved to the shooting points; the shooting times are used for checking whether the 2D camera or the 3D camera completes shooting work at the corresponding shooting point, for example, 1 photo needs to be shot sequentially at the shooting point 1, the shooting point 2 and the shooting point 3, but after moving to the shooting point 3, two photos are shot only after the two photos are found, and the shooting point 3 can be judged to not complete shooting work yet;
the shooting module is used for controlling the positioning and clamping mechanism to clamp the battery module to be tested by the PLC, and respectively moving each 2D camera and each 3D camera to corresponding shooting points to shoot 2D photos and 3D photos based on the shooting path and shooting times;
the dimension data calculation module is used for calculating the actual dimension data of the battery module to be tested based on each 2D photo and 3D photo by the vision software system;
the detection report generation and storage module is used for generating and storing a detection report based on the actual size data by the vision software system; the detection report at least carries detection time, actual size data, standard size data, a difference value between the actual size data and the standard size data and a detection result; the detection result is qualified or unqualified;
and carrying out hash calculation on the detection report to obtain a hash value, and carrying out encryption storage on the detection report and the hash value by using a preset key. By carrying out hash calculation on the detection report, the integrity of the detection report can be quickly checked by utilizing a hash value, whether the detection report is tampered or not can be quickly checked, encryption is carried out through the secret key, the detection report is prevented from being stolen by plaintext, and the safety of the detection report is further greatly ensured.
In the standard size data acquisition module, the standard size data includes at least a length, a width, a height, a hole diameter, a hole position degree, a flatness, and an end plate distance (a height difference from an end plate to a bottom of the battery module).
The shooting point calibration module is specifically used for:
after the servo transplanting mechanism is initialized, the PLC controls the positioning clamping mechanism to clamp the standard battery module, the servo transplanting mechanism is driven to link the two 2D cameras and the two 3D cameras to perform triaxial displacement, nine-point calibration is performed on the 2D cameras, the two 3D cameras are respectively moved above and below the standard battery module, and shooting directions of the 2D cameras and the 3D cameras face the standard battery module so as to calibrate shooting points of the standard battery module;
and generating shooting paths of each 2D camera and each 3D camera based on each shooting point, and respectively recording shooting times required to be completed when each 2D camera and each 3D camera move to each shooting point. In specific implementation, shooting point positions can be calibrated based on battery modules of different models respectively, and corresponding shooting paths and shooting times are generated.
The servo transplanting mechanism is driven by a servo driver, and the PLC converts servo control of the servo transplanting mechanism into shaft control so as to realize three-axis linkage of the installed 2D camera and 3D camera.
The shooting module is specifically used for:
after the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, the servo transplanting mechanism is initialized, based on the shooting path, each 2D camera and each 3D camera are moved to a first shooting point position to shoot a 2D photo and a 3D photo through the servo transplanting mechanism, after shooting is judged to be completed based on the shooting times, each 2D camera and each 3D camera are moved to the next shooting point position through the servo transplanting mechanism until shooting work of all the shooting point positions is completed.
The size data calculation module is specifically configured to:
after preprocessing each 2D photo, the vision software system carries out rough positioning through feature matching and affine transformation, then a circle is fitted through a circle finding tool to obtain aperture and circle center coordinates, a coordinate system is rebuilt based on the circle center coordinates, the length and the width of a battery module to be detected are calculated based on the aperture and the circle center coordinates of the hole sites at the edges of the two ends, and the hole position is calculated based on the circle center coordinates;
the vision software system calculates the height of the battery module to be tested based on the height difference of the two 3D photos; selecting N points from the 3D photo shot below the battery module to be tested, and calculating the flatness of the bottom of the battery module to be tested by using a least square fitting plane, wherein N is a positive integer; and obtaining the distance between the end plates based on depth information carried by the 3D photo taken from the lower side of the battery module to be tested.
In summary, the invention has the advantages that:
calibrating shooting points of the 2D camera and the 3D camera based on the standard battery module, generating a shooting path based on each shooting point, recording shooting times required to be completed when the shooting points are moved to each shooting point, and respectively moving each 2D camera and each 3D camera to the corresponding shooting point based on the shooting path and the shooting times so as to shoot a 2D photo and a 3D photo of the battery module to be tested; the size data including the actual length, width, height, aperture, hole position degree, flatness and end plate distance of the battery module to be detected are calculated based on each 2D photo and 3D photo, a detection report is automatically generated and stored based on the actual size data, namely, full-size automatic detection is carried out on the battery module based on the 2D camera and the 3D camera, the detection report is automatically generated and stored, manual operation is not needed, manual recording and calculation are not needed, the detection precision of optical detection based on the 2D camera and the 3D camera is far higher than that of a three-dimensional detector and a vernier caliper, and finally, the precision and efficiency of full-size detection of the battery module are greatly improved.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that the specific embodiments described are illustrative only and not intended to limit the scope of the invention, and that equivalent modifications and variations of the invention in light of the spirit of the invention will be covered by the claims of the present invention.
Claims (10)
1. A full-size optical detection method of a battery module is characterized in that: the method comprises the following steps:
step S10, the vision software system acquires standard size data of a standard battery module input by a touch screen;
step S20, the PLC drives a servo transplanting mechanism to link two 2D cameras and two 3D cameras to perform triaxial displacement based on the standard size data so as to calibrate shooting points of a standard battery module, generate shooting paths based on the shooting points, and record shooting times required to be completed when the shooting points are moved to the shooting points;
step S30, the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, and based on the shooting path and the shooting times, each 2D camera and each 3D camera are respectively moved to corresponding shooting points to shoot 2D photos and 3D photos;
step S40, the vision software system calculates the actual size data of the battery module to be tested based on each 2D photo and 3D photo;
and step S50, the vision software system generates and stores a detection report based on the actual size data.
2. The full-size optical detection method of a battery module according to claim 1, wherein: in the step S10, the standard size data includes at least a length, a width, a height, an aperture, a hole position, a flatness, and an end plate distance of the battery module.
3. The full-size optical detection method of a battery module according to claim 1, wherein: the step S20 specifically includes:
after the servo transplanting mechanism is initialized, the PLC controls the positioning clamping mechanism to clamp the standard battery module, the servo transplanting mechanism is driven to link the two 2D cameras and the two 3D cameras to perform triaxial displacement, so that the two 3D cameras respectively move to the upper side and the lower side of the standard battery module, and the shooting directions of the 2D cameras and the 3D cameras face the standard battery module so as to calibrate shooting points of the standard battery module;
and generating shooting paths of each 2D camera and each 3D camera based on each shooting point, and respectively recording shooting times required to be completed when each 2D camera and each 3D camera move to each shooting point.
4. The full-size optical detection method of a battery module according to claim 1, wherein: the step S30 specifically includes:
after the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, the servo transplanting mechanism is initialized, based on the shooting path, each 2D camera and each 3D camera are moved to a first shooting point position to shoot a 2D photo and a 3D photo through the servo transplanting mechanism, after shooting is judged to be completed based on the shooting times, each 2D camera and each 3D camera are moved to the next shooting point position through the servo transplanting mechanism until shooting work of all the shooting point positions is completed.
5. The full-size optical detection method of a battery module according to claim 1, wherein: the step S40 specifically includes:
after preprocessing each 2D photo, the vision software system carries out rough positioning through feature matching and affine transformation, then a circle is fitted through a circle finding tool to obtain aperture and circle center coordinates, a coordinate system is rebuilt based on the circle center coordinates, the length and the width of a battery module to be detected are calculated based on the aperture and the circle center coordinates of the hole sites at the edges of the two ends, and the hole position is calculated based on the circle center coordinates;
the vision software system calculates the height of the battery module to be tested based on the height difference of the two 3D photos; selecting N points from the 3D photo shot below the battery module to be tested, and calculating the flatness of the bottom of the battery module to be tested by using a least square fitting plane, wherein N is a positive integer; and obtaining the distance between the end plates based on depth information carried by the 3D photo taken from the lower side of the battery module to be tested.
6. A full-size optical detection system of battery module is characterized in that: the device comprises the following modules:
the standard size data acquisition module is used for acquiring standard size data of the standard battery module input by the touch screen through the vision software system;
the shooting point calibration module is used for driving the servo transplanting mechanism to link the two 2D cameras and the two 3D cameras to perform triaxial displacement based on the standard size data so as to calibrate shooting points of the standard battery module, generating shooting paths based on the shooting points, and recording shooting times required to be completed when the shooting points are moved to the shooting points;
the shooting module is used for controlling the positioning and clamping mechanism to clamp the battery module to be tested by the PLC, and respectively moving each 2D camera and each 3D camera to corresponding shooting points to shoot 2D photos and 3D photos based on the shooting path and shooting times;
the dimension data calculation module is used for calculating the actual dimension data of the battery module to be tested based on each 2D photo and 3D photo by the vision software system;
and the detection report generation and storage module is used for generating and storing a detection report based on the actual size data by the vision software system.
7. The full-size optical detection system for a battery module according to claim 6, wherein: in the standard size data acquisition module, the standard size data at least comprises the length, the width, the height, the aperture, the hole position degree, the flatness and the end plate distance of the battery module.
8. The full-size optical detection system for a battery module according to claim 6, wherein: the shooting point calibration module is specifically used for:
after the servo transplanting mechanism is initialized, the PLC controls the positioning clamping mechanism to clamp the standard battery module, the servo transplanting mechanism is driven to link the two 2D cameras and the two 3D cameras to perform triaxial displacement, so that the two 3D cameras respectively move to the upper side and the lower side of the standard battery module, and the shooting directions of the 2D cameras and the 3D cameras face the standard battery module so as to calibrate shooting points of the standard battery module;
and generating shooting paths of each 2D camera and each 3D camera based on each shooting point, and respectively recording shooting times required to be completed when each 2D camera and each 3D camera move to each shooting point.
9. The full-size optical detection system for a battery module according to claim 6, wherein: the shooting module is specifically used for:
after the PLC controls the positioning and clamping mechanism to clamp the battery module to be tested, the servo transplanting mechanism is initialized, based on the shooting path, each 2D camera and each 3D camera are moved to a first shooting point position to shoot a 2D photo and a 3D photo through the servo transplanting mechanism, after shooting is judged to be completed based on the shooting times, each 2D camera and each 3D camera are moved to the next shooting point position through the servo transplanting mechanism until shooting work of all the shooting point positions is completed.
10. The full-size optical detection system for a battery module according to claim 6, wherein: the size data calculation module is specifically configured to:
after preprocessing each 2D photo, the vision software system carries out rough positioning through feature matching and affine transformation, then a circle is fitted through a circle finding tool to obtain aperture and circle center coordinates, a coordinate system is rebuilt based on the circle center coordinates, the length and the width of a battery module to be detected are calculated based on the aperture and the circle center coordinates of the hole sites at the edges of the two ends, and the hole position is calculated based on the circle center coordinates;
the vision software system calculates the height of the battery module to be tested based on the height difference of the two 3D photos; selecting N points from the 3D photo shot below the battery module to be tested, and calculating the flatness of the bottom of the battery module to be tested by using a least square fitting plane, wherein N is a positive integer; and obtaining the distance between the end plates based on depth information carried by the 3D photo taken from the lower side of the battery module to be tested.
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| CN202310310993.1A CN116336944A (en) | 2023-03-28 | 2023-03-28 | Full-size optical detection method and system for battery module |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117053687A (en) * | 2023-08-17 | 2023-11-14 | 广州市西克传感器有限公司 | Cell height level difference detection method based on laser line scanning 3D camera |
| CN117781876A (en) * | 2024-02-27 | 2024-03-29 | 宁德时代新能源科技股份有限公司 | Size detection system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117053687A (en) * | 2023-08-17 | 2023-11-14 | 广州市西克传感器有限公司 | Cell height level difference detection method based on laser line scanning 3D camera |
| CN117781876A (en) * | 2024-02-27 | 2024-03-29 | 宁德时代新能源科技股份有限公司 | Size detection system and method |
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