CN113611006A - Product quality detection method and device, storage medium and electronic equipment - Google Patents

Product quality detection method and device, storage medium and electronic equipment Download PDF

Info

Publication number
CN113611006A
CN113611006A CN202110922142.3A CN202110922142A CN113611006A CN 113611006 A CN113611006 A CN 113611006A CN 202110922142 A CN202110922142 A CN 202110922142A CN 113611006 A CN113611006 A CN 113611006A
Authority
CN
China
Prior art keywords
target product
product
parameters
detection signal
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110922142.3A
Other languages
Chinese (zh)
Inventor
陈玉玲
郑晓岩
陈彦宇
马雅奇
陈高
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
Original Assignee
Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Gree Electric Appliances Inc of Zhuhai, Zhuhai Lianyun Technology Co Ltd filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN202110922142.3A priority Critical patent/CN113611006A/en
Publication of CN113611006A publication Critical patent/CN113611006A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
    • G07C3/14Quality control systems
    • G07C3/146Quality control systems during manufacturing process
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/887Radar or analogous systems specially adapted for specific applications for detection of concealed objects, e.g. contraband or weapons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Manufacturing & Machinery (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Electromagnetism (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The application relates to the field of quality detection, in particular to a product quality detection method, a product quality detection device and electronic equipment, wherein the method comprises the following steps: acquiring a detection signal of a target product detected by radar equipment; determining parameters of the target product according to the detection signals; and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product. The target product is accurately detected through the radar equipment, the parameters of the target product are determined according to the detection signals obtained through detection, and the quality of the target product is detected according to the parameters of the preset product and the parameters of the target product. The radar technology is a non-contact sensor technology, and radar equipment transmits out electromagnetic waves and can reflect after hitting a target product in space, and in addition, different mediums absorb and reflect the electromagnetic waves differently, and detection signals obtained by detecting the target product through the radar equipment can be used for detecting the target product more comprehensively and accurately.

Description

Product quality detection method and device, storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of quality detection technologies, and in particular, to a method and an apparatus for detecting product quality, a storage medium, and an electronic device.
Background
In the industries of food, medicine, cosmetics, industrial manufacturing and the like, a plurality of products need to be subjected to processes of filling, packaging or packaging and the like on a production line. The product that needs the filling needs to detect before the filling, need correct to the product of incorrectly placing on the assembly line, need in time change to damaged product, avoid the filling process, raw materials export can not aim at with the beverage bottleneck, make the raw materials can not the filling advance product, cause the raw materials extravagant, also can pollute the assembly line simultaneously. In the filling process of volatile chemical products or harmful medicament products, the raw materials are sprinkled on the production line to cause serious consequences on safety, so that the filled products also need to be detected out of products which are not in accordance with the specifications and are placed wrongly. The packaging and packaging process also needs to detect the product so as to prevent the product from being damaged and not filled or only a part of the product filled from entering the market. If adopt artifical the detection, though whether have correctly placing the product on the assembly line can be distinguished to the people's eye, can distinguish simultaneously whether damaged product appearance, but to the opaque product after the filling then need pick up every product and detect whether qualified filling thereof, lead to artifical the detection slow, inefficiency, the while product has the artifical nonconforming condition that can't see, still may lead to false retrieval, miss-checking.
Disclosure of Invention
In order to solve the above problems, the present application provides a product quality detection method, device, storage medium, and electronic apparatus.
In a first aspect, the present application provides a method for product quality detection, the method comprising:
acquiring a detection signal of a target product detected by radar equipment;
determining parameters of the target product according to the detection signals;
and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product.
In the above embodiment, the target product is accurately detected by the radar device, and the parameters of the target product are determined according to the detection signal obtained by detection, so that the quality of the target product is detected according to the parameters of the preset product and the parameters of the target product. The radar technology is a non-contact sensor technology, and radar equipment transmits out electromagnetic waves and can reflect after hitting a target product in space, and in addition, different mediums absorb and reflect the electromagnetic waves differently, and detection signals obtained by detecting the target product through the radar equipment can be used for detecting the target product more comprehensively and accurately.
According to an embodiment of the present application, optionally, in the product quality detection method, before the detection signal of the target product detected by the radar device is acquired, the method includes:
acquiring a detection signal of a target product detection area of the radar equipment;
determining all products and positions thereof in the target product area according to the detection signal of the target product area;
and determining whether product loss and/or product position offset exist in the target product area according to all products and positions thereof in the target product area and all products and positions thereof preset in the target product area.
According to an embodiment of the present application, optionally, in the product quality detection method, determining the parameter of the target product according to the detection signal includes:
and determining the appearance characteristic parameters of the target product according to the detection signals.
According to an embodiment of the present application, optionally, in the product quality detection method, determining the appearance characteristic parameter of the target product according to the detection signal includes:
acquiring distance, azimuth angle and pitch angle information of the radar equipment and the target product according to the detection signal;
analyzing the distance, azimuth angle and pitch angle information to determine the size, shape and dimension of the target product.
According to an embodiment of the present application, optionally, in the product quality detection method, determining the parameter of the target product according to the detection signal includes:
and determining the content characteristic parameters of the target product according to the detection signals.
According to an embodiment of the application, optionally, in the above product quality detection method, determining the content characteristic parameter of the target product according to the detection signal includes:
and acquiring energy, power spectrum and polarization data of the target product according to the detection signal.
According to an embodiment of the present application, optionally, in the product quality detection method, detecting the quality of the target product according to the parameter of the target product and the parameter of the preset product includes:
calculating a similarity value between the parameters of the target product and the parameters of a preset product;
if the similarity value is larger than a preset threshold value, determining that the target product is qualified in quality;
and if the similarity value is smaller than or equal to the preset threshold value, determining that the target product is unqualified in quality.
According to an embodiment of the present application, optionally, in the product quality detection method, before the detection signal of the target product detected by the radar device is acquired, the method includes: acquiring a detection signal of the radar equipment for detecting a preset product; and determining the parameters of the preset product according to the detection signal of the preset product. In the embodiment, the parameters of the preset product can be accurately acquired, so that the quality of the target product can be accurately detected.
In a second aspect, the present application also provides a product quality detection apparatus, the apparatus comprising: the detection signal acquisition module is used for acquiring a detection signal of a radar device detection target product;
the parameter determining module is used for determining the parameters of the target product according to the detection signals;
and the quality detection module is used for detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the apparatus further includes:
the area detection signal acquisition module is used for acquiring a detection signal of a target product area detected by the radar equipment;
the product and position detection module is used for determining all products and positions thereof in the target product area according to the detection signal of the target product area;
and the product determining module is used for determining whether the product lack and/or the product position offset exist in the target product area according to all products and positions thereof in the target product area and all products and positions thereof preset in the target product area.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the parameter determining module includes:
and the appearance characteristic parameter determining unit is used for determining the appearance characteristic parameters of the target product according to the detection signals.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the appearance characteristic parameter determining unit includes:
the data determining subunit is used for acquiring information of the distance, the azimuth angle and the pitch angle between the radar equipment and the target product according to the detection signal;
and the appearance characteristic parameter determining subunit is used for analyzing the distance, the azimuth angle and the pitch angle information to determine the size, the shape and the dimension of the target product.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the parameter determining module includes:
and the content characteristic parameter determining unit is used for determining the content characteristic parameter of the target product according to the detection signal.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the content characteristic parameter determination unit includes:
and the content characteristic parameter determining subunit is used for acquiring the energy, power spectrum and polarization data of the target product according to the detection signal.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the quality detection module includes:
the similarity value calculation unit is used for calculating the similarity value between the parameter of the target product and the parameter of a preset product;
the quality qualification determining unit is used for determining that the target product is qualified in quality if the similarity value is greater than a preset threshold value;
and the quality unqualified determining unit is used for determining that the target product is unqualified if the similarity value is less than or equal to the preset threshold value.
According to an embodiment of the present application, optionally, in the above product quality detection apparatus, the apparatus includes:
the system comprises a preset signal acquisition module, a preset signal processing module and a control module, wherein the preset signal acquisition module is used for acquiring a detection signal of the radar equipment for detecting a preset product;
and the preset parameter acquisition module is used for determining the parameters of the preset product according to the detection signal of the preset product.
In a third aspect, the present application provides a storage medium storing a computer program executable by one or more processors for implementing a product quality detection method as described above.
In a fourth aspect, the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the computer program is executed by the processor to perform the above-mentioned product quality detection method.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the application provides a product quality detection method, a product quality detection device, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring a detection signal of a target product detected by radar equipment; determining parameters of the target product according to the detection signals; and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product. The target product is accurately detected through the radar equipment, the parameters of the target product are determined according to the detection signals obtained through detection, and the quality of the target product is detected according to the parameters of the preset product and the parameters of the target product. The radar technology is a non-contact sensor technology, and radar equipment transmits out electromagnetic waves and can reflect after hitting a target product in space, and in addition, different mediums absorb and reflect the electromagnetic waves differently, and detection signals obtained by detecting the target product through the radar equipment can be used for detecting the target product more comprehensively and accurately.
Drawings
The present application will be described in more detail below on the basis of embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a product quality detection method according to an embodiment of the present application.
Fig. 2 is an interface block diagram of a product quality detection apparatus according to a fourth embodiment of the present application.
Fig. 3 is a connection block diagram of an electronic device according to a sixth embodiment of the present application.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
The following detailed description will be provided with reference to the accompanying drawings and embodiments, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the scope of protection of the present application.
Example one
The invention provides a product quality detection method, please refer to fig. 1, which comprises the following steps:
step S110: and acquiring a detection signal of a target product detected by the radar equipment.
A radar apparatus is an electronic apparatus that detects a target using electromagnetic waves. The radar emits electromagnetic waves to irradiate the target and receives the echo of the target, so that information such as the distance from the target to an electromagnetic wave emission point, the distance change rate, the azimuth and the height is obtained. The radar type is divided into over-the-horizon radar, microwave radar, millimeter wave radar, laser radar and the like according to the radar frequency band, and the type of the radar equipment can be selected according to specific use requirements. For example, the radar apparatus may select a millimeter wave radar. The millimeter wave radar is a radar which operates in a millimeter wave band (millimeter wave) for detection, and generally, the millimeter wave refers to a frequency domain (wavelength is 1-10 mm) of 30-300 GHz. The millimeter wave radar has a small antenna aperture and narrow beams, and the narrow beams have high anti-interference performance. Therefore, the tracking and guiding precision is high, low elevation angle tracking is easy to carry out, multipath and clutter interference are resisted, high transverse resolution is achieved on a near-space target, high angular resolution is achieved on regional imaging and target monitoring, and small targets are easy to detect. In addition, the millimeter wave radar has a larger bandwidth, so that the millimeter wave radar has a high information rate, and the narrow pulse or broadband frequency modulation signal is easy to adopt to obtain the detailed structural characteristics of the target. In addition, the method has wide spectrum spreading capability, reduces multipath and clutter, enhances anti-interference capability, has high distance resolution, and is easy to obtain accurate target tracking and identification capability. The millimeter wave radar is easy to identify the target characteristics by using the target Doppler frequency characteristics.
The millimeter wave radar can be installed at a position where the assembly line can be detected, for example, the millimeter wave radar is installed at a position right opposite to the assembly line, so that the radar and a product to be detected on the assembly line are protected from being blocked by obstacles in the middle, and the radar is kept powered on and signals are normally transmitted and received. The position of the radar equipment is fixed relative to the ground and does not move along with the movement of the assembly line conveying belt. And the radar equipment needs to be installed in a place which does not influence the work of the assembly line, and does not need to be frequently disassembled. Thereby ensuring that the radar equipment can be conveniently maintained. Electromagnetic waves emitted by the millimeter wave radar can reflect back signals when meeting a target product obstacle in space, echo signals reflected by the target product in space are collected, intermediate frequency signals are output through ADC sampling after amplification, filtering, frequency mixing and analog-to-digital conversion, and the intermediate frequency signals are filtered through a distance difference method to obtain pure signals; the position information of the target product in the space can be obtained through target detection algorithms such as coherent and incoherent accumulation, DOA (direction of arrival) estimation and the like.
Step S120: and determining the parameters of the target product according to the detection signals.
Since the detection signal is obtained according to the reflection of the electromagnetic wave emitted by the radar device by the target product, the data related to the target product can be obtained from the detection signal, and the parameters of the target product can be determined according to the data.
Step S130: and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product.
The predetermined product is a product of known quality without problems, which is the same product as the target product. The quality of the target product can be judged by taking the preset product as a contrast. Specifically, parameters obtained by detecting the target product are compared with known parameters of a preset product, and if the comparison difference is large, the quality of the target product is considered to be unqualified. As an embodiment, if the size parameter a of the target product is obtained according to the detection signal, the size parameter of the preset product is B, the allowable error is C, and if a is greater than B + C, or a is less than B-C, the quality of the target product may be considered to be unqualified.
As another embodiment, when detecting the quality of the target product according to the parameters of the target product and the parameters of the preset product, a similarity value between the parameters of the target product and the parameters of the preset product may be calculated first. And if the similarity value is larger than a preset threshold value, determining that the target product is qualified in quality. And if the similarity value is smaller than or equal to the preset threshold value, determining that the target product is unqualified in quality. For example, in a boxed milk production workshop, a worker carelessly places a water cup on a milk production line, and can detect that the similarity of the shape and the size between a milk box and the water cup is smaller than a preset threshold value, and the judgment result is that the product is unqualified. If the milk box is inclined or placed in a tilted mode, the similarity between the appearance characteristics of the milk box and the characteristics of the preset products is smaller than a threshold value, unqualified milk boxes can be detected, and the phenomenon that the inclined or tilted products cannot accurately correspond to raw material outlets in a filling process to cause raw material waste and environmental pollution is avoided.
The parameters of the preset product can also be obtained by searching the data prestored in the database. It is to be understood that before the detection signal of the radar device detecting the target product is obtained, the parameters of the preset product may also be obtained in the following manner. Firstly, acquiring a detection signal of a radar device for detecting a preset product; and determining the parameters of the preset product according to the detection signal of the preset product. Through the embodiment, the parameters of the preset product can be accurately acquired, so that the quality of the target product can be accurately detected. For example, for a scene that a target product is not filled completely, an unfilled product meeting factory requirements can be selected and placed on a production line, information of the product is collected by a radar, product characteristic information is extracted through signal processing, and the product characteristic information is stored. And selecting the products which meet the factory requirements and are filled according to the scenes after the products are filled, placing the products on the production line, acquiring product information by using a radar, extracting product characteristic information and content characteristic information through signal processing, and storing the product characteristics and the content characteristic information. If the parameters of the preset product are acquired in this way, only one acquisition process is needed, and the acquired parameters of the preset product can be directly used during product quality detection. If the product that a assembly line was handled is unchangeable, for example, 500ml mineral water is handled all the time to this assembly line, and this mineral water packing shape size is unchangeable, then the parameter of the preset product that gathers before detecting product quality only need gather once and the storage can, need not carry out product quality detection work to the target product at every turn and all gather again, the radar can take out the information that has preserved automatically after the power-on work. If the production line originally treats 500ml of mineral water and then treats 300ml of mineral water, the parameters of the preset product corresponding to 300ml of mineral water need to be acquired again, namely, the characteristics of the qualified product are collected and stored again.
In summary, the present application provides a product quality detection method, including: acquiring a detection signal of a target product detected by radar equipment; determining parameters of the target product according to the detection signals; and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product. The target product is accurately detected through the radar equipment, the parameters of the target product are determined according to the detection signals obtained through detection, and the quality of the target product is detected according to the parameters of the preset product and the parameters of the target product. The radar technology is a non-contact sensor technology, and radar equipment transmits out electromagnetic waves and can reflect after hitting a target product in space, and in addition, different mediums absorb and reflect the electromagnetic waves differently, and detection signals obtained by detecting the target product through the radar equipment can be used for detecting the target product more comprehensively and accurately.
Example two
On the basis of the first embodiment, the present embodiment explains the method in the first embodiment through a specific implementation case.
In the product quality detection method, before a detection signal of a target product detected by the radar equipment is acquired, whether product loss and/or product position offset exist in a detection area on a production line or not can be judged through the following processes. Specifically, a detection signal of a target product detection area of the radar equipment is obtained; determining all products and positions thereof in the target product area according to the detection signal of the target product area; and determining whether product loss and/or product position offset exist in the target product area according to all products and positions thereof in the target product area and all products and positions thereof preset in the target product area.
The target product area is an area where products are placed on the assembly line, when the assembly line runs normally, a plurality of products can be detected in the target product area, the position relation between the radar device and the assembly line is known, the position of the products placed on the assembly line is also known, and for example, the interval between two adjacent products on the assembly line is L. The time for the radar to acquire the detection signal is also set, so that when the product passes through the radar, the position information of the product relative to the radar is also known, that is, all products and positions thereof preset in the target product area are known. And comparing the detected spatial position information of the product with the known spatial position information of the product, and if the comparison result shows that the product can be detected at the position of the preset product on the production line, determining that the product is free from missing and/or product position deviation. And if the comparison result shows that the product cannot be detected at the position of the preset product on the production line, the situation of product loss and/or product position deviation is considered to occur.
Taking a milk filling line as an example, since the filling machine works according to a specific law, assuming that the filling machine injects milk into the lower container every 1 second, the injection process line is stopped for 2 seconds, which requires that the products are placed at equal intervals, and the interval is the distance of 1 second of the conveyor belt running. Assuming that the distance between the radar device and the conveyor belt right in front of the radar device is 50cm, the product width is 5cm, the distance on the conveyor belt is 10cm, the radar detection range is 60cm in front and 20cm left and right, the radar can theoretically detect 3 targets at the position 50cm in front and has the distance of 10cm, and if the target information detected by the actual radar does not accord with the theoretical information, for example, only 1 target is detected in the range, or the detected targets have the distance of 20cm, the product is considered to be missing.
In addition, the millimeter wave radar is used for detecting the product quality, whether the product is missing or not and/or the product position is deviated can be detected, the idle articles or the damaged products on the assembly line can be detected, whether the products are filled in a qualified mode can be detected, the accuracy and the real-time performance of product quality detection are improved, labor and time cost are reduced, and therefore the millimeter wave radar has strong applicability.
EXAMPLE III
On the basis of the first embodiment, the present embodiment explains the method in the first embodiment through a specific implementation case.
As a first implementation manner, when determining the parameter of the target product according to the detection signal, the appearance characteristic parameter of the target product may be determined according to the detection signal.
Specifically, determining the appearance characteristic parameter of the target product according to the detection signal includes:
acquiring distance, azimuth angle and pitch angle information of the radar equipment and the target product according to the detection signal;
analyzing the distance, azimuth angle and pitch angle information to determine the size, shape and dimension of the target product.
As a second embodiment, when determining the parameter of the target product according to the detection signal, the content characteristic parameter of the target product may be determined according to the detection signal.
Specifically, the content characteristic parameter of the target product is determined according to the detection signal, and the method comprises the following steps:
and acquiring energy, power spectrum and polarization data of the target product according to the detection signal.
The signal that the millimeter wave radar transmitted is the toper in the space, and the product is in the irradiation range of millimeter wave radar completely, and the millimeter wave radar can obtain the distance of target, azimuth angle, pitch angle information simultaneously, because be the air around the product, the product can reflect the electromagnetic wave but the electromagnetic wave can not be reflected to the air around, according to the electromagnetic wave reflection area, combines the wide frequency spectrum characteristic and the high resolution characteristic of millimeter wave, extracts out product appearance characteristic, including size, shape, size, statistical characteristics etc.. The millimeter wave radar irradiates on the outer box of the product, a part of electromagnetic waves are reflected, and a part of electromagnetic waves can penetrate through the outer box. The content of the filled product is solid or liquid, the unfilled part of the content is air, the absorption and reflection of electromagnetic waves are greatly different due to different dielectric constants of the solid, the liquid and the gas, and the received reflected signals are processed to extract the characteristics of the content of the product.
And determining parameters for detecting the target product according to the detection signals, and detecting the quality of the product according to specific requirements. For example, in a milk production process, if a milk carton needs to be checked for quality before filling, the above-described first embodiment can be used for checking. If, after filling in the milk production, the milk box has already been filled with milk contents and is sealed, then the above-described second embodiment can be used for testing. It can be understood that the two embodiments may also be implemented in combination, for example, for a scene after the product is filled, similarity comparison may be performed between the detected appearance features and the corresponding preset appearance features, and if the similarity of all the features is greater than a threshold, the detected product is considered to be qualified in appearance; otherwise, the detected product is considered to be unqualified.
If the detected product is qualified in appearance, the product which is filled can be continuously detected. The millimeter wave radar irradiates on the outer box of the product, a part of electromagnetic waves are reflected, and a part of electromagnetic waves can penetrate through the outer box. The content of the filled product is solid or liquid, the unfilled part of the content is air, the absorption and reflection of electromagnetic waves are greatly different due to different dielectric constants of the solid, the liquid and the gas, and the received reflected signals are processed to extract the characteristics of the content of the product. And comparing the obtained content characteristics with the corresponding preset content characteristics. The corresponding content feature comparison means that the energy feature is compared with the energy feature, the power spectrum feature is compared with the power spectrum feature, and other features are analogized in the same way. If the similarity is larger than the threshold value, the detected product is qualified in filling, otherwise, the filling is unqualified. For example, in a cough syrup production line, a certain product cannot be filled, 200 ml of cough syrup should be filled according to regulations, however, only 70 ml of medicine is filled due to equipment failure, 130 ml of space above the container is air, the dielectric constant of the cough syrup is different from that of the air, so that the absorption and reflection of electromagnetic waves are different, the characteristics of the two reflected echo signals of the millimeter wave radar are different, and the product can be judged to be not filled qualified through comparison.
Example four
Referring to fig. 2, the present application provides a product quality inspection apparatus 200, which includes:
a detection signal obtaining module 210, configured to obtain a detection signal of a target product detected by a radar device;
a parameter determining module 220, configured to determine a parameter of the target product according to the detection signal;
the quality detection module 230 is configured to detect the quality of the target product according to the parameters of the target product and the parameters of a preset product.
According to an embodiment of the present application, optionally, in the product quality detection apparatus 200, the apparatus further includes:
the area detection signal acquisition module is used for acquiring a detection signal of a target product area detected by the radar equipment;
the product and position detection module is used for determining all products and positions thereof in the target product area according to the detection signal of the target product area;
and the product determining module is used for determining whether the product lack and/or the product position offset exist in the target product area according to all products and positions thereof in the target product area and all products and positions thereof preset in the target product area.
According to an embodiment of the present application, optionally, in the product quality detecting apparatus 200, the parameter determining module 220 includes:
and the appearance characteristic parameter determining unit is used for determining the appearance characteristic parameters of the target product according to the detection signals.
According to an embodiment of the present application, optionally, in the product quality detecting apparatus 200, the appearance characteristic parameter determining unit includes:
the data determining subunit is used for acquiring information of the distance, the azimuth angle and the pitch angle between the radar equipment and the target product according to the detection signal;
and the appearance characteristic parameter determining subunit is used for analyzing the distance, the azimuth angle and the pitch angle information to determine the size, the shape and the dimension of the target product.
According to an embodiment of the present application, optionally, in the product quality detecting apparatus 200, the parameter determining module 220 includes:
and the content characteristic parameter determining unit is used for determining the content characteristic parameter of the target product according to the detection signal.
According to an embodiment of the present application, optionally, in the product quality detecting apparatus 200, the content characteristic parameter determining unit includes:
and the content characteristic parameter determining subunit is used for acquiring the energy, power spectrum and polarization data of the target product according to the detection signal.
According to an embodiment of the present application, optionally, in the product quality detection apparatus 200, the quality detection module 230 includes:
the similarity value calculation unit is used for calculating the similarity value between the parameter of the target product and the parameter of a preset product;
the quality qualification determining unit is used for determining that the target product is qualified in quality if the similarity value is greater than a preset threshold value;
and the quality unqualified determining unit is used for determining that the target product is unqualified if the similarity value is less than or equal to the preset threshold value.
According to an embodiment of the present application, optionally, in the product quality detection apparatus 200, the apparatus includes:
the system comprises a preset signal acquisition module, a preset signal processing module and a control module, wherein the preset signal acquisition module is used for acquiring a detection signal of the radar equipment for detecting a preset product;
and the preset parameter acquisition module is used for determining the parameters of the preset product according to the detection signal of the preset product.
In summary, the present application provides a product quality detection apparatus 200, comprising: a detection signal obtaining module 210, configured to obtain a detection signal of a target product detected by a radar device; a parameter determining module 220, configured to determine a parameter of the target product according to the detection signal; the quality detection module 230 is configured to detect the quality of the target product according to the parameters of the target product and the parameters of a preset product. The target product is accurately detected through the radar equipment, the parameters of the target product are determined according to the detection signals obtained through detection, and the quality of the target product is detected according to the parameters of the preset product and the parameters of the target product. The radar technology is a non-contact sensor technology, and radar equipment transmits out electromagnetic waves and can reflect after hitting a target product in space, and in addition, different mediums absorb and reflect the electromagnetic waves differently, and detection signals obtained by detecting the target product through the radar equipment can be used for detecting the target product more comprehensively and accurately.
EXAMPLE five
The present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., where a computer program is stored, and when the computer program is executed by a processor, the method steps in the foregoing embodiments may be implemented, and specific processes may be referred to in the foregoing embodiments, and details of the embodiment are not repeated herein.
EXAMPLE six
The embodiment of the present application provides an electronic device, which may be a mobile phone, a computer, a tablet computer, or the like, and includes a memory and a processor, where the memory stores a computer program, and the computer program is executed by the processor to implement the product quality detection method as described in the first embodiment. It is understood that, as shown in fig. 3, the electronic device 300 may further include: a processor 301, a memory 302, a multimedia component 303, an input/output (I/O) interface 304, and a communication component 305.
The processor 301 is configured to execute all or part of the steps in the product quality detection method according to the first embodiment. The memory 302 is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
The Processor 301 may be implemented by an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to perform the product quality detection method in the first embodiment.
The Memory 302 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
The multimedia component 303 may include a screen, which may be a touch screen, and an audio component for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in a memory or transmitted through a communication component. The audio assembly also includes at least one speaker for outputting audio signals.
The I/O interface 304 provides an interface between the processor 301 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.
The communication component 305 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so that the corresponding Communication component 305 may include: Wi-Fi module, bluetooth module, NFC module.
In summary, the present application provides a method, an apparatus, a storage medium, and an electronic device for detecting product quality, where the method includes: acquiring a detection signal of a target product detected by radar equipment; determining parameters of the target product according to the detection signals; and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product. The target product is accurately detected through the radar equipment, the parameters of the target product are determined according to the detection signals obtained through detection, and the quality of the target product is detected according to the parameters of the preset product and the parameters of the target product. The radar technology is a non-contact sensor technology, and radar equipment transmits out electromagnetic waves and can reflect after hitting a target product in space, and in addition, different mediums absorb and reflect the electromagnetic waves differently, and detection signals obtained by detecting the target product through the radar equipment can be used for detecting the target product more comprehensively and accurately.
In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed system and method may be implemented in other ways. The system and method embodiments described above are merely illustrative.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.

Claims (11)

1. A method of product quality inspection, the method comprising:
acquiring a detection signal of a target product detected by radar equipment;
determining parameters of the target product according to the detection signals;
and detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product.
2. The method according to claim 1, wherein before acquiring the detection signal of the radar device detecting the target product, the method comprises:
acquiring a detection signal of a target product detection area of the radar equipment;
determining all products and positions thereof in the target product area according to the detection signal of the target product area;
and determining whether product loss and/or product position offset exist in the target product area according to all products and positions thereof in the target product area and all products and positions thereof preset in the target product area.
3. The method of claim 1, wherein determining the parameter of the target product from the detection signal comprises:
and determining the appearance characteristic parameters of the target product according to the detection signals.
4. The method of claim 3, wherein determining the appearance characteristic parameter of the target product from the detection signal comprises:
acquiring distance, azimuth angle and pitch angle information of the radar equipment and the target product according to the detection signal;
analyzing the distance, azimuth angle and pitch angle information to determine the size, shape and dimension of the target product.
5. The method of claim 1, wherein determining the parameter of the target product from the detection signal comprises:
and determining the content characteristic parameters of the target product according to the detection signals.
6. The method of claim 5, wherein determining a content characteristic parameter of the target product from the detection signal comprises:
and acquiring energy, power spectrum and polarization data of the target product according to the detection signal.
7. The method of claim 1, wherein detecting the quality of the target product according to the parameters of the target product and the parameters of the preset product comprises:
calculating a similarity value between the parameters of the target product and the parameters of a preset product;
if the similarity value is larger than a preset threshold value, determining that the target product is qualified in quality;
and if the similarity value is smaller than or equal to the preset threshold value, determining that the target product is unqualified in quality.
8. The method according to claim 1, wherein before acquiring the detection signal of the radar device detecting the target product, the method comprises:
acquiring a detection signal of the radar equipment for detecting a preset product;
and determining the parameters of the preset product according to the detection signal of the preset product.
9. A product quality detection apparatus, the apparatus comprising:
the detection signal acquisition module is used for acquiring a detection signal of a radar device detection target product;
the parameter determining module is used for determining the parameters of the target product according to the detection signals;
and the quality detection module is used for detecting the quality of the target product according to the parameters of the target product and the parameters of a preset product.
10. A storage medium storing a computer program which, when executed by one or more processors, is adapted to implement the method of any one of claims 1-8.
11. An electronic device, comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, performs the method of any one of claims 1-8.
CN202110922142.3A 2021-08-12 2021-08-12 Product quality detection method and device, storage medium and electronic equipment Pending CN113611006A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110922142.3A CN113611006A (en) 2021-08-12 2021-08-12 Product quality detection method and device, storage medium and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110922142.3A CN113611006A (en) 2021-08-12 2021-08-12 Product quality detection method and device, storage medium and electronic equipment

Publications (1)

Publication Number Publication Date
CN113611006A true CN113611006A (en) 2021-11-05

Family

ID=78308301

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110922142.3A Pending CN113611006A (en) 2021-08-12 2021-08-12 Product quality detection method and device, storage medium and electronic equipment

Country Status (1)

Country Link
CN (1) CN113611006A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7312855B1 (en) * 2006-10-26 2007-12-25 United States Of America As Represented By The Secretary Of The Navy Combined coherent and incoherent imaging LADAR
CN104035136A (en) * 2014-06-11 2014-09-10 南京理工大学 Encasement bar-lacking microwave detection device for goods with tinfoil packages and detection method
CN104614375A (en) * 2015-01-16 2015-05-13 郑州轻工业学院 Nondestructive testing system for multi-layer food wrappage
CN105954227A (en) * 2016-07-13 2016-09-21 深圳市太赫兹系统设备有限公司 Terahertz monitoring method for aluminum-plastic panel bubble cap packaged medicines
CN206440636U (en) * 2017-01-26 2017-08-25 刘万村 Water content automatic detection device on food production line
CN110065683A (en) * 2019-04-23 2019-07-30 中山慧能科技有限公司 Automatic detection packing device
CN111474590A (en) * 2020-05-06 2020-07-31 上海大学 Non-contact electromagnetic detection system and method for dangerous liquid
CN112733877A (en) * 2020-11-27 2021-04-30 北京理工大学 Multi-laser-radar three-dimensional imaging artificial intelligence ore identification method and device

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7312855B1 (en) * 2006-10-26 2007-12-25 United States Of America As Represented By The Secretary Of The Navy Combined coherent and incoherent imaging LADAR
CN104035136A (en) * 2014-06-11 2014-09-10 南京理工大学 Encasement bar-lacking microwave detection device for goods with tinfoil packages and detection method
CN104614375A (en) * 2015-01-16 2015-05-13 郑州轻工业学院 Nondestructive testing system for multi-layer food wrappage
CN105954227A (en) * 2016-07-13 2016-09-21 深圳市太赫兹系统设备有限公司 Terahertz monitoring method for aluminum-plastic panel bubble cap packaged medicines
CN206440636U (en) * 2017-01-26 2017-08-25 刘万村 Water content automatic detection device on food production line
CN110065683A (en) * 2019-04-23 2019-07-30 中山慧能科技有限公司 Automatic detection packing device
CN111474590A (en) * 2020-05-06 2020-07-31 上海大学 Non-contact electromagnetic detection system and method for dangerous liquid
CN112733877A (en) * 2020-11-27 2021-04-30 北京理工大学 Multi-laser-radar three-dimensional imaging artificial intelligence ore identification method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵卫: "《超高时空分辨多维信息获取技术及其应用》", 30 November 2016 *

Similar Documents

Publication Publication Date Title
EP2188868B1 (en) Radio frequency signal acquisition and source location system
US8120488B2 (en) Radio frequency environment object monitoring system and methods of use
US10186136B2 (en) Systems, methods, and apparatus to permit communication between passive wireless transponders
US8477063B2 (en) System and method for obstacle detection and warning
US20090014520A1 (en) Radio Frequency Identification System and Data Reading Method
WO2007085517A1 (en) Device and method for multi-dimensional location of target objects, in particular rfid transponders
US10996315B2 (en) Radar apparatus for vehicle and method for estimating angle using same
CN107076845A (en) Radar sensor
US20230117414A1 (en) System and method for spatially detecting any foreign bodies within a product on the basis of dielectric characteristics of said product
US20180156909A1 (en) Direction error detection method and apparatus using estimated directions, and in-vehicle radar apparatus
US20200278444A1 (en) Determining relevant signals using multi-dimensional radar signals
US10209119B2 (en) System for sensing flowable substrate levels in a storage unit
CN113611006A (en) Product quality detection method and device, storage medium and electronic equipment
US20200003868A1 (en) Method of determining an alignment error of an antenna and vehicle with an antenna and a detection device
EP3035072A1 (en) Pseudo-doppler direction finding antenna adaption for RFID applications
CN114779241B (en) Package security check method and device, storage medium and electronic equipment
EP3598113B1 (en) Non-destructive detection method, non-destructive detection devices, and non-destructive detection program
US10371813B2 (en) Systems and methods for using time of flight measurements for imaging target objects
US11762083B2 (en) Method for determining the position of an object, device for determining the position of an object, and system
CN211123265U (en) Laser radar
JP2017161368A (en) Detector
US20220187200A1 (en) QUANTUM ENTANGLEMENT-BASED DETECTION SYSTEM (QE-bDS)
RU2584696C1 (en) Method for protection from passive interference and radar station therefor
RU2358285C1 (en) Method of protection from clutter and radar station to this end
US20240280666A1 (en) Object detection apparatus and object detection method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211105