CN114187250A

CN114187250A - Real-time detection method, device and system for cloth and processor

Info

Publication number: CN114187250A
Application number: CN202111468048.1A
Authority: CN
Inventors: 赵振洪; 陈钟浩; 管瑞峰; 刘运春
Original assignee: Shanghai Zhijing Information Technology Co ltd
Current assignee: Shanghai Zhijing Information Technology Co ltd
Priority date: 2021-12-03
Filing date: 2021-12-03
Publication date: 2022-03-15

Abstract

The embodiment of the invention provides a real-time detection method and device for cloth, a processor and a storage medium. The method comprises the following steps: acquiring a fabric image obtained by carrying out image acquisition on woven fabric through an area array CCD camera, carrying out image detection on the fabric image, determining defect data of defects under the condition that the fabric defects exist on the fabric image, and generating a defect report corresponding to the woven fabric according to the defect data; remotely monitoring the loom; and controlling the loom where the weaving cloth with the quality problem is positioned to stop when the weaving cloth with the quality problem is determined to have the quality problem according to the defect data.

Description

Real-time detection method, device and system for cloth and processor

Technical Field

The invention relates to the technical field of computers, in particular to a real-time detection method, a real-time detection device, a real-time detection system, a real-time detection storage medium and a real-time detection processor for cloth.

Background

In the textile industry, yarn to raw material grey cloth is an important part, and after the raw material grey cloth is produced by a weaving mill, cloth inspection is needed to check the defect condition of the cloth, and the defective cloth can be cleared, repaired, cut and graded in quality according to the condition.

In the prior art, the cloth inspection method mainly comprises manual cloth inspection and automatic cloth inspection, most of traditional textile enterprises adopt manual cloth inspection, and the manual cloth inspection has certain technical requirements and visual requirements on inspectors. The long-term vision concentration easily causes eyestrain and occupational diseases, limits the width of cloth, and easily causes missing tests and misjudgments. The automatic cloth inspection is divided into an online cloth inspection device and an offline cloth inspection device, and when an online cloth inspection mode is adopted, the cloth inspection cannot be effectively performed due to the fact that image migration is caused by vibration in the production process. The off-line cloth inspecting device is high in manufacturing cost and unstable in work, so that the cloth inspecting process is invalid and carried out normally and orderly. In addition, in the image recognition technology, the automatic cloth inspection mostly adopts a statistical method to analyze the flaw points of the image recognition, however, the solutions can not meet the complexity requirement of industrialization on flaw recognition.

Disclosure of Invention

The embodiment of the invention aims to provide a real-time detection method, a real-time detection device, a real-time detection system, a real-time detection storage medium and a real-time detection processor for cloth.

In order to achieve the above object, a first aspect of the present invention provides a real-time detection method for a fabric, including:

acquiring a fabric image obtained by carrying out image acquisition on the woven fabric through an area array CCD camera;

carrying out image detection on the fabric image;

determining defect data of the defects under the condition that the fabric defects exist on the fabric images, wherein the defect data comprises the sizes of the defects and the positions of the defects;

generating a defect report corresponding to the woven cloth according to the defect data;

remotely monitoring the loom;

and controlling the loom where the weaving cloth with the quality problem is positioned to stop when the weaving cloth with the quality problem is determined to have the quality problem according to the defect data.

In an embodiment of the present application, in a case where it is determined from the defect data that there is a quality problem in the woven cloth, controlling the loom stop at which the woven cloth having the quality problem is located includes: and when the condition that the warp and/or weft breakage exists in the woven cloth is determined according to the defect data, starting an alarm prompt and controlling the loom in which the woven cloth is positioned to stop running.

In an embodiment of the present application, the real-time detection method further includes: obtaining rechecking data obtained after a user rechecks the woven fabric according to the fault report; and storing the rechecking data.

In the embodiment of the application, each woven fabric corresponds to one woven fabric number; the real-time detection method further comprises the following steps: generating a quality inspection report corresponding to the woven fabric according to the rechecking data and the defect report; and storing the quality inspection report and the weaving number of the weaving in a database in a correlated manner.

In the embodiment of the application, an area array CCD camera and a cropping button are installed for each loom; the real-time detection method further comprises the following steps: and summarizing the defects of the woven fabrics and generating a quality inspection report corresponding to the woven fabrics under the condition that each woven fabric is produced and the triggering instruction of the cropping button is obtained.

In an embodiment of the present application, acquiring a fabric image obtained by image-capturing a woven fabric with an area-array CCD camera includes: acquiring images of the woven fabric by using an area array CCD camera arranged on a loom to obtain woven fabric images; and acquiring a woven fabric image transmitted by the area array CCD camera through gigabit Ethernet communication.

A second aspect of the present invention provides a processor configured to execute a real-time detection method for a cloth material as described above.

In a third aspect, the invention provides a real-time detection apparatus for a fabric, the apparatus comprising a processor for a real-time detection method for a fabric.

The invention provides a real-time detection system device for cloth, which is used for carrying out image acquisition on woven cloth to obtain a fabric image; and a real-time detection device for the cloth.

A fifth aspect of the present invention provides a machine-readable storage medium having stored thereon instructions which, when executed by a processor, cause the processor to be configured to execute the above-described real-time detection method for a cloth.

The real-time cloth detection method comprises the steps of acquiring a fabric image obtained by acquiring an image of a woven fabric through an area array CCD camera; carrying out image detection on the fabric image; determining defect data of defects under the condition that the fabric defects exist on the fabric image; and generating a defect report corresponding to the woven cloth according to the defect data, remotely monitoring the loom, and controlling the loom in which the woven cloth with the quality problem is positioned to stop under the condition that the woven cloth with the quality problem is determined according to the defect data. By the method, the problems of high cloth inspection cost and unstable work are solved, a complete digital flow from production to quality grading to warehousing is established, the loom can be monitored in real time, and once the quality of the cloth woven by the loom is poor, the loom can be controlled to stop, so that the quality of the woven cloth is improved.

Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:

fig. 1 schematically shows a flow chart of a method for real-time detection of a cloth according to an embodiment of the present invention;

FIG. 2 schematically illustrates a computer-implemented software flow diagram of a method for real-time detection of a fabric according to an embodiment of the invention;

fig. 3 schematically shows an internal structure diagram of a computer apparatus according to an embodiment of the present invention.

Detailed Description

The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.

Fig. 1 schematically shows a flow chart of a method for detecting a cloth in real time according to an embodiment of the present invention. As shown in fig. 1, in an embodiment of the present invention, a method for detecting a fabric in real time is provided, which includes the following steps:

step 101, acquiring a fabric image obtained by acquiring an image of a woven fabric through an area array CCD camera.

And 102, carrying out image detection on the fabric image.

And 103, determining defect data of the defects under the condition that the fabric defects exist on the fabric image, wherein the defect data comprises the sizes of the defects and the positions of the defects.

And 104, generating a defect report corresponding to the weaving according to the defect data.

Step 105, remotely monitoring the loom.

And 106, controlling the loom in which the weaving cloth with the quality problem is positioned to stop when the weaving cloth with the quality problem is determined to have the quality problem according to the defect data.

As shown in fig. 2, a picture collecting device is installed on the loom, and the picture collecting device comprises a set of slide rails, an area array CCD camera, a cropping button and a stop button. The CCD camera is a semiconductor device capable of converting an optical image into a digital signal, and has the characteristics of small volume, light weight, no influence of a magnetic field, vibration resistance, impact resistance and the like; the cropping button can control the production length of one piece of cloth in the production process; the shutdown button can realize manual shutdown and then change the shaft for variety; in the production process, the CCD camera moves back and forth at the cloth output end of the loom through the slide rail to continuously acquire the fabric images. After the fabric image acquisition is finished, the fabric image is quickly transmitted to the cloud storage center, and the fabric image of the cloud storage center is analyzed through the AI image recognition center to find the quality defect of the cloth cover. That is, image detection is performed on a fabric image of each fabric, and when a fabric defect is detected on the fabric image, defect data of the defect can be specified. Wherein the defect data includes the size of the defects and the locations of the defects. Specifically, the quality defects comprise the number of broken warp and broken weft, the corresponding picture of broken warp and broken weft, the coordinates of broken warp and broken weft on the cloth cover, the length and width of broken warp and broken weft and the like, and the AI image recognition center generates a defect report according to the cloth number, the number of broken warp and broken weft, the corresponding picture of broken warp and broken weft, the coordinates of broken warp and broken weft on the cloth cover, the length and width of broken warp and broken weft; and transmitting the generated defect information to a service system through a message queue, and generating a unique quality inspection report of the cloth after the operation and the cropping of a user. Specifically, a user clicks a cropping button to collect the defects, generates a unique quality inspection report of the cloth according to the number of the cloth, and transmits the quality inspection report of the cloth to a background to establish a filing record in batches through a message queue; the method comprises the steps that the data are instantly pushed to a client side through mobile phone short messages, micro-message public numbers and the like and fed back to related users, the users mark and process flaws through rechecking in a cloth flaw processing stage, the data are recorded in a database, an AI image recognition center collects quality inspection reports after rechecking of the users, an AI algorithm neural network conducts machine learning according to a large amount of data, an optimization algorithm is automatically adjusted, and the accuracy of automatic recognition is improved.

Further, the loom may be remotely monitored, in particular in real time. Once the weaving quality problem is determined according to the defect data of the weaving on each loom, the loom where the weaving with the quality problem is positioned can be immediately controlled to stop. Further, in one embodiment, in the case where it is determined from the defect data that there is a quality problem with the woven cloth, controlling the loom on which the quality-problem woven cloth is located to stop includes: and when the condition that the warp and/or weft breakage exists in the woven cloth is determined according to the defect data, starting an alarm prompt and controlling the loom in which the woven cloth is positioned to stop running.

The method comprises the steps that a user can set a threshold value of the number of broken warps and broken wefts and a threshold value of the length and the width of the broken warps and broken wefts at an AI image recognition center, when the AI image recognition center analyzes a fabric image at a cloud storage center and finds that the number of the broken warps and broken wefts on a cloth cover exceeds the set threshold value or the length and the width of the broken warps and broken wefts exceed the set threshold value, a system automatically starts an alarm prompt, a loom where a woven cloth is located is controlled to stop running, defect data are sent to the user, and the user rechecks cloth defects to reduce loss cost.

For example, a user sets the number threshold of broken warp and broken weft to be 200 in the system, sets the length and width of the broken warp and the broken weft to be 5 cm, and performs image detection on a fabric image, when the number of broken warp and broken weft of the fabric is greater than 200 or the length and width of the broken warp and the broken weft are detected to be greater than 5 cm, the system sends out an alarm, stops the operation of a loom where the fabric is located, sends defect data to the user, and the user rechecks the fabric defects.

In one embodiment, the real-time detection method further comprises: obtaining rechecking data obtained after a user rechecks the woven fabric according to the fault report; and storing the rechecking data.

Analyzing the fabric image of the cloud storage center at the AI image recognition center, detecting that defect data exist on the fabric image, sending the defect data to a user, obtaining recheck data by rechecking the mark, confirming the number of the defects and processing the defects by the user, generating a quality inspection report corresponding to the woven fabric, and recording the recheck data and the quality inspection report into a database for storage.

In one embodiment, each fabric corresponds to a fabric number; the real-time detection method further comprises the following steps: generating a quality inspection report corresponding to the woven fabric according to the rechecking data and the defect report; and storing the quality inspection report and the weaving number of the weaving in a database in a correlated manner.

Each woven fabric corresponds to a unique woven fabric number, and a quality inspection report corresponding to the woven fabric number is generated according to rechecking data obtained by rechecking of a user and defect report data generated in an AI image recognition center; and storing the quality inspection report and the weaving number of the weaving in a database in a correlated manner.

In one embodiment, an area array CCD camera and a cropping button are installed for each loom; the real-time detection method further comprises the following steps: and summarizing the defects of the woven fabrics and generating a quality inspection report corresponding to the woven fabrics under the condition that each woven fabric is produced and the triggering instruction of the cropping button is obtained.

In one embodiment, acquiring a fabric image obtained by image acquisition of a woven fabric by an area array CCD camera comprises: acquiring images of the woven fabric by using an area array CCD camera arranged on a loom to obtain woven fabric images; and acquiring a woven fabric image transmitted by the area array CCD camera through gigabit Ethernet communication.

The method comprises the steps that an area array CCD camera and a slide rail are installed on a machine loom, the CCD camera is enabled to reciprocate at the cloth output end of the loom to continuously collect fabric images through the slide rail in the production process, woven fabric images transmitted by the area array CCD camera through gigabit Ethernet communication are obtained after the collection of the fabric images is completed, the image processing process is accelerated through a graphic processor to achieve real-time detection, and after the fabric defect images are found, defect reports are generated and reported to a background quality inspection platform.

The embodiment of the invention provides a processor, which is used for running a program, wherein the real-time detection method for cloth is executed when the program runs.

In one embodiment, a real-time detection apparatus for a cloth material is provided that includes a processor.

In one embodiment, a real-time detection system for cloth is provided, comprising:

the loom is provided with an area array CCD camera and is used for carrying out image acquisition on the woven fabric to obtain a fabric image; and

the real-time detection device for the cloth is disclosed.

An embodiment of the present invention provides a storage medium, on which a program is stored, and when the program is executed by a processor, the method for detecting cloth in real time is implemented.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) connected through a system bus. Wherein processor a01 of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises an internal memory a03 and a non-volatile storage medium a 06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a 06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program is executed by the processor a01 to implement a real-time detection method for cloth. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, a button, a trackball or a touch pad arranged on a casing of the computer device, or an external keyboard, a touch pad or a mouse.

Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring a fabric image obtained by carrying out image acquisition on the woven fabric through an area array CCD camera, and carrying out image detection on the fabric image; determining defect data of the defects under the condition that the fabric defects exist on the fabric image, wherein the defect data comprises the sizes of the defects and the positions of the defects, and generating defect reports corresponding to the woven fabrics according to the defect data; and remotely monitoring the loom, and controlling the loom in which the weaving with the quality problem is positioned to stop when the quality problem of the weaving is determined according to the defect data.

In one embodiment, in the case where it is determined from the defect data that there is a quality problem with the woven cloth, controlling the loom on which the quality-problem woven cloth is located to stop includes: and when the condition that the warp and/or weft breakage exists in the woven cloth is determined according to the defect data, starting an alarm prompt and controlling the loom in which the woven cloth is positioned to stop running.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that 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 the process, method, article, or apparatus that comprises the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A real-time detection method for cloth is characterized by comprising the following steps:

carrying out image detection on the fabric image;

in the event that a fabric defect is detected to be present on the fabric image, determining defect data for the defect, the defect data including a size of the defect and a location of the defect;

remotely monitoring the loom;

2. The method according to claim 1, wherein said controlling the loom where the fabric with quality problem is located to stop in case it is determined that there is a quality problem in the fabric based on said defect data comprises:

and when the situation of warp breakage and/or weft breakage of the woven cloth is determined according to the defect data, starting an alarm prompt and controlling the loom in which the woven cloth is positioned to stop running.

3. The method of claim 1, wherein the real-time detection method further comprises:

obtaining rechecking data obtained after rechecking the woven fabric according to the defect report by a user;

and storing the rechecking data.

4. The method of claim 3, wherein each fabric corresponds to a fabric number; the real-time detection method further comprises the following steps:

generating a quality inspection report corresponding to the woven cloth according to the rechecking data and the defect report;

and storing the quality inspection report and the weaving number of the weaving in a database in a correlated manner.

5. The method according to claim 1, characterized in that for each loom, the area array CCD camera and a cropping button are installed; the real-time detection method further comprises the following steps:

and summarizing the defects of the woven cloth and generating a quality inspection report corresponding to the woven cloth when each woven cloth is produced and the triggering instruction of the cropping button is acquired.

6. The method of claim 1, wherein the acquiring the fabric image obtained by image acquisition of the woven fabric by the area array CCD camera comprises:

carrying out image acquisition on the woven cloth through an area array CCD camera arranged on a loom to obtain a woven cloth image;

and acquiring the woven fabric image transmitted by the area array CCD camera through gigabit Ethernet communication.

7. A processor characterized by being configured to execute the real-time detection method for cloth according to any one of claims 1 to 6.

8. A real-time detection device for a cloth material, characterized by comprising a processor according to claim 7.

9. A real-time detection system for cloth, characterized by comprising:

the loom is provided with the area array CCD camera and is used for carrying out image acquisition on the woven fabric to obtain a fabric image; and

the real-time detection device for cloth according to claim 8.

10. A machine-readable storage medium having instructions stored thereon, which when executed by a processor causes the processor to be configured to perform a real-time detection method for a cloth according to any one of claims 1 to 6.