CN110632084A - Product quality detection system based on sensor - Google Patents
Product quality detection system based on sensor Download PDFInfo
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- CN110632084A CN110632084A CN201911012095.8A CN201911012095A CN110632084A CN 110632084 A CN110632084 A CN 110632084A CN 201911012095 A CN201911012095 A CN 201911012095A CN 110632084 A CN110632084 A CN 110632084A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
The invention discloses a product quality detection system based on a sensor, which comprises a basic parameter detection module, an image acquisition module, an image analysis module, a defect query module, an equipment database, a parameter acquisition module, an analysis server and an early warning module, wherein the basic parameter detection module is used for detecting the defect of a product; the analysis server is respectively connected with the basic parameter detection module, the parameter acquisition module, the equipment database, the storage environment detection module and the defect query module, the equipment database is respectively connected with the image analysis module and the defect query module, and the image acquisition module is connected with the defect query module through the image analysis module. The invention judges whether the electronic product manufactured by the manufacturing equipment has faults or not by detecting the manufacturing equipment, reduces the reject ratio of the electronic product manufactured by the manufacturing equipment, reduces the loss, improves the quality of the manufactured product, avoids the time wasted by detecting the electronic products one by one, improves the efficiency of product quality detection, and has the characteristic of high accuracy.
Description
Technical Field
The invention belongs to the technical field of product quality detection, and relates to a product quality detection system based on a sensor.
Background
With the continuous development of society, the application of electronic products is more and more extensive, and the key factor of the sales volume of the electronic products is the quality of the electronic goods, so the quality of the electronic products directly influences the market faced by enterprises.
The quality detection of the existing electronic products only detects the electronic products, and can not carry out fault detection on equipment for manufacturing the electronic products, so that the reject ratio of the electronic products is high, the detection efficiency caused by detecting the electronic products one by one is low, the detection time is greatly wasted, in order to solve the problems, a product quality detection system based on a sensor is designed, the fault detection is carried out on the equipment for manufacturing the electronic products, the fault detection can be carried out on the electronic products from the source, and the time for detecting the produced electronic products one by one is reduced.
Disclosure of Invention
The invention aims to provide a product quality detection system based on a sensor, which solves the problems that the detection efficiency of the existing electronic product is low, the failure reason of the electronic product cannot be found from the source and the like.
The purpose of the invention can be realized by the following technical scheme:
a product quality detection system based on a sensor comprises a basic parameter detection module, an image acquisition module, an image analysis module, a defect query module, an equipment database, a parameter acquisition module, an analysis server and an early warning module;
the analysis server is respectively connected with the basic parameter detection module, the parameter acquisition module, the equipment database and the defect query module, the equipment database is respectively connected with the image analysis module, the defect query module and the storage environment detection module, and the image acquisition module is connected with the defect query module through the image analysis module;
the basic parameter detection module is used for detecting the power consumption of the manufacturing equipment in the production process and sending the detected power consumption of the manufacturing equipment to the analysis server;
the image acquisition module is a high-definition camera and is used for acquiring images of all directions of the manufacturing equipment and sending the acquired images of all directions of the manufacturing equipment to the image analysis module;
the image analysis module is used for receiving the image information of each position of the manufacturing equipment sent by the image acquisition module, filtering the received image information, improving the definition of the image, extracting parts of the image after filtering, comparing the shapes of each part with the shapes of standard parts stored in an equipment database to determine the shape of the part, extracting characteristic points which can reflect the shape of the part most in the shape of the part to obtain the position coordinates of the characteristic points of each part in the image, and sending the position coordinates of the characteristic points of each part in each position image in the image to the defect query module;
the defect query module is used for receiving the position coordinates of the feature points of each part in each orientation image sent by the image analysis module, extracting the feature point standard position coordinates of each part in each orientation image in the normal operation process of the manufacturing equipment in the equipment database, comparing the received position coordinates of the feature points of each part in each orientation image with the feature point standard position coordinates of each part in each orientation image in the normal operation process of the manufacturing equipment, if the position coordinates of at least one feature point are different from the feature point standard position coordinates, indicating that the equipment is abnormal or failed, and sending the abnormal part of the manufacturing equipment in each orientation image to the analysis server;
the parameter acquisition module acquires the number of manufactured electronic components in the same time period, counts the time required for manufacturing one electronic component, and sends the time required for manufacturing a single component to the analysis server;
the equipment database is used for storing the standard position coordinates of the feature points of each part in each orientation image of the manufacturing equipment in the normal operation process, special abnormal parts, shape sets of each part and the feature points corresponding to the shapes of each part, and storing the temperature range and the humidity range of the manufacturing equipment in the operation process;
the analysis server is used for receiving abnormal parts of the manufacturing equipment in each azimuth image sent by the defect query module, comparing the abnormal parts with special abnormal parts stored in an equipment database, and if the special abnormal parts exist in the abnormal parts, sending an alarm prompt instruction to the early warning module by the analysis server; meanwhile, the power consumption of the manufacturing equipment sent by the basic parameter detection module and the time required by the manufacturing equipment for manufacturing a single component sent by the parameter receiving module are received, the power consumption of the manufacturing equipment in a fixed time period is compared with standard power consumption, the time required by manufacturing the single component is compared with standard time for manufacturing the component, and if the power consumption of the manufacturing equipment in the fixed time period is greater than the standard power consumption or the time required by manufacturing the single component is greater than the standard time for manufacturing the component, the analysis server sends an alarm prompt instruction to the early warning module;
the early warning module is a buzzer and is used for receiving an alarm prompt instruction sent by the analysis server and giving an alarm prompt to abnormal manufacturing equipment.
Further, the basic parameter detection module comprises a current detection unit and a voltage detection unit, wherein the current detection unit is a current sensor and is used for detecting the magnitude of current input into the manufacturing equipment in real time, and the voltage detection unit is a voltage sensor and is used for detecting the magnitude of voltage input into the manufacturing equipment in real time.
Further, deposit environment detection module and include temperature detecting element and humidity detecting element, temperature detecting element is temperature sensor for real-time detection manufacture equipment is the temperature size in operational environment, and humidity detecting element is humidity transducer for real-time detection manufacture equipment is the humidity size in operational environment.
The storage environment detection module is used for detecting the temperature and the humidity in the operation storage environment of the manufacturing equipment in real time and sending the detected temperature and the detected humidity in the operation environment to the analysis server;
the analysis server is used for receiving the temperature and the humidity of the manufacturing equipment in the operating environment sent by the storage environment detection module, comparing the detected temperature and humidity with the temperature range and the humidity range stored in the equipment database respectively, if the temperature and the humidity are in the temperature range and the humidity range respectively, the analysis server sends temperature and humidity meeting requirement information to the display module, and if at least one of the temperature and the humidity is not in the temperature range or the humidity range, the analysis server sends temperature abnormity or humidity abnormity information to the display module.
Further, the display module is used for receiving and analyzing whether the temperature and the humidity in the operating environment where the manufacturing equipment is located, which are sent by the server, meet the temperature range or the humidity range, and displaying the temperature and the humidity.
The invention has the beneficial effects that:
according to the product quality detection system based on the sensor, provided by the invention, whether the electronic product manufactured by the manufacturing equipment has a fault or not is judged by detecting the manufacturing equipment, the reject ratio of the electronic product manufactured by the manufacturing equipment is reduced, the loss is reduced, the quality of the manufactured product is improved, the time wasted by detecting the electronic product one by one is avoided, the product quality detection efficiency is improved, and the product quality detection system has the characteristic of high accuracy.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a sensor-based product quality detection system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
Referring to fig. 1, a product quality detection system based on a sensor includes a basic parameter detection module, an image acquisition module, an image analysis module, a defect query module, a storage environment detection module, an equipment database, a parameter acquisition module, an analysis server, a display module, and an early warning module;
the analysis server is respectively connected with the basic parameter detection module, the parameter acquisition module, the equipment database, the storage environment detection module, the defect query module and the display module, the equipment database is respectively connected with the image analysis module, the defect query module and the storage environment detection module, and the image acquisition module is connected with the defect query module through the image analysis module.
The basic parameter detection module is used for detecting the power consumption of the manufacturing equipment in the production process and sending the detected power consumption of the manufacturing equipment to the analysis server;
the basic parameter detection module comprises a current detection unit and a voltage detection unit, wherein the current detection unit is a current sensor and used for detecting the current input into the manufacturing equipment in real time, and the voltage detection unit is a voltage sensor and used for detecting the voltage input into the manufacturing equipment in real time;
the image acquisition module is a high-definition camera and is used for acquiring images of all directions of the manufacturing equipment and sending the acquired images of all directions of the manufacturing equipment to the image analysis module;
the image analysis module is used for receiving the image information of each position of the manufacturing equipment sent by the image acquisition module, filtering the received image information to improve the definition of the image, extracting the parts of the filtered image, comparing the shapes of the parts with the standard parts stored in the equipment database, to determine the shape of the component, and extract the feature points in the shape of the component which can reflect the shape of the component most, to obtain the position coordinates of the feature points of each component in the image, and the position coordinates of each part feature point in each azimuth image in the image are sent to a defect query module, the characteristic points are expressed as end points or middle points of the part, two end points of a rectangle can best reflect the part in the rectangular part, the center of a five-pointed star and five end points of the five-pointed star can best reflect the part in the five-pointed star part, and the like;
the defect query module is used for receiving the position coordinates of the feature points of each part in each orientation image sent by the image analysis module, extracting the feature point standard position coordinates of each part in each orientation image in the normal operation process of the manufacturing equipment in the equipment database, comparing the received position coordinates of the feature points of each part in each orientation image with the feature point standard position coordinates of each part in each orientation image in the normal operation process of the manufacturing equipment, if the position coordinates of at least one feature point are different from the feature point standard position coordinates, indicating that the equipment is abnormal or failed, and sending the abnormal part of the manufacturing equipment in each orientation image to the analysis server;
the parameter acquisition module acquires the number of manufactured electronic components in the same time period, counts the time required for manufacturing one electronic component, and sends the time required for manufacturing a single component to the analysis server;
the equipment database is used for storing the standard position coordinates of the feature points of each part in each orientation image of the manufacturing equipment in the normal operation process, special abnormal parts, shape sets of each part and the feature points corresponding to the shapes of each part, and storing the temperature range and the humidity range of the manufacturing equipment in the operation process, wherein the special abnormal parts are parts which have important influence on the normal operation of the manufacturing equipment;
the storage environment detection module is used for detecting the temperature and the humidity in the operation storage environment of the manufacturing equipment in real time and sending the detected temperature and humidity in the operation environment to the analysis server;
the storage environment detection module comprises a temperature detection unit and a humidity detection unit, the temperature detection unit is a temperature sensor and is used for detecting the temperature of the manufacturing equipment in the operating environment in real time, and the humidity detection unit is a humidity sensor and is used for detecting the humidity of the manufacturing equipment in the operating environment in real time.
The analysis server is used for receiving the abnormal part of the manufacturing equipment in each azimuth image sent by the defect query module, comparing the abnormal part with the special abnormal part stored in the equipment database, and sending an alarm prompt instruction to the early warning module if the special abnormal part exists in the abnormal part; meanwhile, the power consumption of the manufacturing equipment sent by the basic parameter detection module and the time required by the manufacturing equipment for manufacturing a single component sent by the parameter receiving module are received, the power consumption of the manufacturing equipment in a fixed time period is compared with standard power consumption, the time required by manufacturing the single component is compared with standard time for manufacturing the component, and if the power consumption of the manufacturing equipment in the fixed time period is greater than the standard power consumption or the time required by manufacturing the single component is greater than the standard time for manufacturing the component, the analysis server sends an alarm prompt instruction to the early warning module;
in addition, the analysis server is used for receiving the temperature and the humidity of the manufacturing equipment in the operating environment sent by the storage environment detection module, comparing the detected temperature and humidity with the temperature range and the humidity range stored in the equipment database respectively, if the temperature and the humidity are in the temperature range and the humidity range respectively, the analysis server sends temperature and humidity meeting requirement information to the display module, and if at least one of the temperature and the humidity is not in the temperature range or the humidity range, the analysis server sends temperature abnormity or humidity abnormity information to the display module;
the display module is used for receiving whether the temperature and the humidity in the operating environment where the manufacturing equipment is located, sent by the analysis server, meet the temperature range or the humidity range or not, displaying the temperature and the humidity, and facilitating management personnel to know the operating temperature and humidity conditions of the equipment.
The early warning module is a buzzer and is used for receiving an alarm prompt instruction sent by the analysis server and giving an alarm prompt to abnormal manufacturing equipment, so that management personnel can modify the equipment in time, the reject ratio of manufacturing equipment and components is reduced, and the energy consumption loss is greatly reduced.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (5)
1. A product quality detection system based on a sensor is characterized in that: the system comprises a basic parameter detection module, an image acquisition module, an image analysis module, a defect query module, an equipment database, a parameter acquisition module, an analysis server and an early warning module;
the analysis server is respectively connected with the basic parameter detection module, the parameter acquisition module, the equipment database and the defect query module, the equipment database is respectively connected with the image analysis module, the defect query module and the storage environment detection module, and the image acquisition module is connected with the defect query module through the image analysis module;
the basic parameter detection module is used for detecting the power consumption of the manufacturing equipment in the production process and sending the detected power consumption of the manufacturing equipment to the analysis server;
the image acquisition module is a high-definition camera and is used for acquiring images of all directions of the manufacturing equipment and sending the acquired images of all directions of the manufacturing equipment to the image analysis module;
the image analysis module is used for receiving the image information of each position of the manufacturing equipment sent by the image acquisition module, filtering the received image information, improving the definition of the image, extracting parts of the image after filtering, comparing the shapes of each part with the shapes of standard parts stored in an equipment database to determine the shape of the part, extracting characteristic points which can reflect the shape of the part most in the shape of the part to obtain the position coordinates of the characteristic points of each part in the image, and sending the position coordinates of the characteristic points of each part in each position image in the image to the defect query module;
the defect query module is used for receiving the position coordinates of the feature points of each part in each orientation image sent by the image analysis module, extracting the feature point standard position coordinates of each part in each orientation image in the normal operation process of the manufacturing equipment in the equipment database, comparing the received position coordinates of the feature points of each part in each orientation image with the feature point standard position coordinates of each part in each orientation image in the normal operation process of the manufacturing equipment, if the position coordinates of at least one feature point are different from the feature point standard position coordinates, indicating that the equipment is abnormal or failed, and sending the abnormal part of the manufacturing equipment in each orientation image to the analysis server;
the parameter acquisition module acquires the number of manufactured electronic components in the same time period, counts the time required for manufacturing one electronic component, and sends the time required for manufacturing a single component to the analysis server;
the equipment database is used for storing the standard position coordinates of the feature points of each part in each orientation image of the manufacturing equipment in the normal operation process, special abnormal parts, shape sets of each part and the feature points corresponding to the shapes of each part, and storing the temperature range and the humidity range of the manufacturing equipment in the operation process;
the analysis server is used for receiving abnormal parts of the manufacturing equipment in each azimuth image sent by the defect query module, comparing the abnormal parts with special abnormal parts stored in an equipment database, and if the special abnormal parts exist in the abnormal parts, sending an alarm prompt instruction to the early warning module by the analysis server; meanwhile, the power consumption of the manufacturing equipment sent by the basic parameter detection module and the time required by the manufacturing equipment for manufacturing a single component sent by the parameter receiving module are received, the power consumption of the manufacturing equipment in a fixed time period is compared with standard power consumption, the time required by manufacturing the single component is compared with standard time for manufacturing the component, and if the power consumption of the manufacturing equipment in the fixed time period is greater than the standard power consumption or the time required by manufacturing the single component is greater than the standard time for manufacturing the component, the analysis server sends an alarm prompt instruction to the early warning module;
the early warning module is a buzzer and is used for receiving an alarm prompt instruction sent by the analysis server and giving an alarm prompt to abnormal manufacturing equipment.
2. The sensor-based product quality detection system of claim 1, wherein: the basic parameter detection module comprises a current detection unit and a voltage detection unit, wherein the current detection unit is a current sensor and used for detecting the current input into the manufacturing equipment in real time, and the voltage detection unit is a voltage sensor and used for detecting the voltage input into the manufacturing equipment in real time.
3. The sensor-based product quality detection system of claim 1, wherein: deposit environment detection module and include temperature detecting element and humidity detecting element, temperature detecting element is temperature sensor for the temperature size of real-time detection manufacture equipment in the operational environment, and humidity detecting element is humidity transducer for the humidity size of real-time detection manufacture equipment in the operational environment.
4. The sensor-based product quality detection system of claim 1, wherein: the storage environment detection module is used for detecting the temperature and the humidity in the operation storage environment of the manufacturing equipment in real time and sending the detected temperature and humidity in the operation environment to the analysis server;
the analysis server is used for receiving the temperature and the humidity of the manufacturing equipment in the operating environment sent by the storage environment detection module, comparing the detected temperature and humidity with the temperature range and the humidity range stored in the equipment database respectively, if the temperature and the humidity are in the temperature range and the humidity range respectively, the analysis server sends temperature and humidity meeting requirement information to the display module, and if at least one of the temperature and the humidity is not in the temperature range or the humidity range, the analysis server sends temperature abnormity or humidity abnormity information to the display module.
5. The sensor-based product quality detection system of claim 4, wherein: the display module is used for receiving and analyzing whether the temperature and the humidity in the operating environment where the manufacturing equipment is located, sent by the server, meet the temperature range or the humidity range, and displaying the temperature and the humidity.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111562267A (en) * | 2020-05-29 | 2020-08-21 | 重庆施鲁逊智能科技有限公司 | Visual detection system for assembling automobile fuse box |
CN112967225A (en) * | 2021-01-29 | 2021-06-15 | 绍兴隆芙力智能科技发展有限公司 | Automatic detection system, method, equipment and medium based on artificial intelligence |
CN114265390A (en) * | 2021-12-22 | 2022-04-01 | 苏州华星光电技术有限公司 | Equipment data acquisition diagnosis method and device, server and storage medium |
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2019
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111562267A (en) * | 2020-05-29 | 2020-08-21 | 重庆施鲁逊智能科技有限公司 | Visual detection system for assembling automobile fuse box |
CN112967225A (en) * | 2021-01-29 | 2021-06-15 | 绍兴隆芙力智能科技发展有限公司 | Automatic detection system, method, equipment and medium based on artificial intelligence |
CN114265390A (en) * | 2021-12-22 | 2022-04-01 | 苏州华星光电技术有限公司 | Equipment data acquisition diagnosis method and device, server and storage medium |
CN114265390B (en) * | 2021-12-22 | 2024-02-20 | 苏州华星光电技术有限公司 | Equipment data acquisition diagnosis method, device, server and storage medium |
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