CN111382975B - Needle management method and system for sewing machine, storage medium and computer equipment - Google Patents
Needle management method and system for sewing machine, storage medium and computer equipment Download PDFInfo
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- CN111382975B CN111382975B CN202010172189.8A CN202010172189A CN111382975B CN 111382975 B CN111382975 B CN 111382975B CN 202010172189 A CN202010172189 A CN 202010172189A CN 111382975 B CN111382975 B CN 111382975B
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- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a sewing machine needle management method, a system, a storage medium and computer equipment, which are applied to a sink node server, wherein the sink node server is communicated with a management cabinet in an adjacent node area, and the method is characterized by comprising the following steps: when judging that a user enters a node area, acquiring identity information of the user and needle information of a sewing needle to be returned, and opening a corresponding management cabinet, wherein the needle information comprises the sewing needle and a needle dial; identifying the integrity of the sewing machine needles placed in the management cabinet by a user to obtain return information of the user, wherein the integrity of the sewing machine needles comprises the types, the number and the damage degree of the sewing machine needles; and generating a corresponding return record according to the return information of the user, and forwarding the return record to the sink node server while displaying the return record through the management cabinet. The invention can identify, send and receive records and standardized management to the sewing machine needle, and meets the actual application requirements.
Description
Technical Field
The invention relates to the technical field of tool management, in particular to a needle management method and system for a sewing machine, a storage medium and computer equipment.
Background
Prison is an important place for criminal penalty execution, and labor transformation is an important method for transforming criminals. In the work of the criminal's labor improvement, different labor production tools (articles) such as sewing machine needles, small scissors, large scissors, screwdrivers, tweezers, folding knives, wire stripper, nipper pliers, electric pens and the like are used according to the type of the produced products. These items meet the need for labor improvement of criminal skills on the one hand, and are also potential secondary crime tools or suicide tools on the other hand, which need to be strictly managed.
For this purpose, prisons use RFID technology to strictly manage these items. According to the method, each article is hung with one RFID tag, so that real-time reading is realized, and real-time online of the articles and judgment of the positions or areas of the articles connected with the tags are ensured. However, the RFID coding management method is not suitable for managing the needle heads of the sewing machine, and the needle heads of the sewing machine are manually managed, so that the problems of inconvenient counting, inconsistent integrity standard, inaccurate in-and-out record and potential risk of tool loss are generally caused.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a sewing machine needle management method, system, storage medium and computer device capable of identifying, transmitting/receiving a record and standardized management of a sewing machine needle.
A sewing machine needle management method applied to a sink node server, the sink node server communicating with a management cabinet in an adjacent node area, the method comprising:
when judging that a user enters a node area, acquiring identity information of the user and needle information of a sewing needle to be returned, and opening a corresponding management cabinet, wherein the needle information comprises the sewing needle and a needle dial;
identifying the integrity of the sewing machine needles placed in the management cabinet by a user to obtain return information of the user, wherein the integrity of the sewing machine needles comprises the types, the number and the damage degree of the sewing machine needles;
and generating a corresponding return record according to the return information of the user, and forwarding the return record to the sink node server while displaying the return record through the management cabinet.
According to the sewing machine needle management method provided by the invention, when the fact that a user enters a node area is judged, the identity information of the user and the needle information of the sewing machine needle to be returned are obtained, and the corresponding management cabinet is opened, so that the user can return the sewing machine needle to be returned conveniently; the method has the advantages that the completeness of the sewing machine needles placed in the management cabinets by users is identified, so that corresponding return records are generated according to the return information of the users, the return records are displayed through the management cabinets and are forwarded to the sink node server, so that the sink node server can count the distribution condition of the sewing machine needles in each management cabinet, and can adjust the cargo management progress and types according to the hot degree of the sewing machine needles in each cabinet in each node area, the problem that the prior art is not applicable to management of the sewing machine needles, the RFID coding management method is not applicable to management of the sewing machine needles by relying on manual management is solved, the problems that the quantity is usually inconvenient to count, the integrity standard is inconsistent, the warehouse entry and exit records are inaccurate, and potential risks exist due to tool loss are solved, the intelligent identification, the receiving and transmitting records and standardized management of the sewing machine needles are realized, and the practical application requirements are met.
In addition, the above-mentioned needle management method of the sewing machine according to the present invention may further have the following additional technical features:
further, the method for identifying the integrity of the sewing machine needle placed in the management cabinet by the user comprises the following steps:
acquiring image information of the sewing machine needle, and carrying out noise reduction treatment on the image information of the sewing machine needle through a bilateral filtering algorithm to obtain a preprocessed image;
and detecting, dividing, counting and comparing the edges of the preprocessed image to obtain the return information of the user.
Further, the method for performing noise reduction processing on the image information of the sewing machine needle through a bilateral filtering algorithm to obtain a preprocessed image comprises the following steps:
converting the image information of the sewing machine needle into a gray image, and performing Gaussian blurring treatment;
calculating the gradient of the gray level image subjected to Gaussian blurring, calculating the edge amplitude and angle of the gray level image according to the gradient, and performing compression processing on a non-maximum signal to obtain an intermediate image;
and performing binarization processing on the intermediate image subjected to the dual-threshold edge connection processing to obtain the preprocessing image.
Further, the method for detecting, dividing, counting and comparing the edges of the preprocessed image comprises the following steps:
detecting and edge outlining the preprocessed image through a machine vision shape recognition algorithm, so that a complete image of the sewing machine needle is obtained;
image segmentation is carried out on the complete image of the sewing machine needle through an image gray histogram algorithm, an effective area is reserved, noise is removed through corrosion and expansion, and the area is communicated;
and determining the number of the machine needles by carrying out edge detection on the communication area, drawing out the shape outline of the machine needles, and comparing the machine needles with the machine needles stored in the database.
Further, when the sewing machine needle placed in the management cabinet is a newly added object, warehousing processing is carried out on the sewing machine needle.
Further, the method for warehousing the sewing machine needle comprises the following steps:
acquiring a needle image of the sewing needle, and carrying out marginalization processing on the needle image to obtain warehousing information of the sewing needle, wherein the warehousing information comprises the type, the model, the needle handle pixel, the needle handle length, the needle head pixel, the needle head length and the length proportionality coefficient of the sewing needle;
and displaying and storing the warehouse-in information through a management cabinet and forwarding the warehouse-in information to a sink node server.
Further, the method further comprises:
acquiring the return degree of a user on a borrowed sewing machine needle in a current management cabinet within a preset time period;
and when judging that the returning degree of the sewing machine needle by the user is smaller than the lowest preset returning degree in the preset time period, controlling the management cabinet to be switched from the normal management mode to the forced maintenance mode.
Another embodiment of the present invention also proposes a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method.
Another embodiment of the present invention also provides a computer device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the above method when executing the program.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flowchart of a needle management method of a sewing machine according to a first embodiment of the present invention;
fig. 2 is a specific flowchart of step S101 in the first embodiment of the present invention;
fig. 3 is a block diagram showing a needle management system of a sewing machine according to a second embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a method for managing needle tubes of a sewing machine according to a first embodiment of the present invention includes steps S101 to S103:
step S101, when judging that a user enters a node area, acquiring identity information of the user and needle information of a sewing needle to be returned, and opening a corresponding management cabinet, wherein the needle information comprises the sewing needle and a needle dial.
And step S102, identifying the integrity of the sewing machine needles placed in the management cabinet by the user to obtain the return information of the user, wherein the integrity of the sewing machine needles comprises the types, the numbers and the damage degree of the sewing machine needles.
And step S103, generating a corresponding return record according to the return information of the user, and forwarding the return record to the sink node server while displaying the return record through the management cabinet.
In order to improve the reliability of implementation of the method, the management range of the sewing machine needle can be divided into a plurality of node areas according to the type, the position, the distance or the working area of each sewing machine management cabinet during implementation, and each node area can be provided with a plurality of management cabinets for managing the sewing machine needle. The management cabinet comprises a man-machine interaction module, a visual technology module, a control module, a cabinet platform, a communication module and an identity recognition module. The man-machine interaction module has the functions of human body perception, video monitoring, identity recognition, switch cabinet door and data display; the vision technology module is provided with a CCD camera, and can identify a standard dial and a machine needle through machine vision image identification; the control module is stored with a database and can generate control signals to control the corresponding module to operate; the cabinet module comprises a cabinet structure, a power supply module and a heat dissipation module; the communication module is used for communication inside the cabinet and communication between the communication module and the sink node server; the identity recognition module has an IC card or fingerprint recognition function, can recognize the identity of a user so as to determine the legitimacy and authority of an operator, and can only open the cabinet door when the identity of the operator is legal.
Referring to fig. 2, the method for identifying the integrity of the sewing machine needle placed in the management cabinet by the user comprises the following steps:
step S1011, obtaining the image information of the sewing machine needle, and carrying out noise reduction processing on the image information of the sewing machine needle through a bilateral filtering algorithm to obtain a preprocessed image. Noise is removed by using a bilateral filtering algorithm, so that the image definition is high.
Further, the image information of the sewing machine needle is converted into a gray level image, and Gaussian blur processing is carried out, so that the complexity of image processing is reduced, the image processing efficiency is improved, and the Gaussian blur processing can further reduce the noise of the image and the detail level of the image; calculating the gradient of the gray level image subjected to Gaussian blurring, calculating the edge amplitude and angle of the gray level image according to the gradient, and performing compression processing on a non-maximum signal to reduce distortion, so that an intermediate image is obtained; and performing binarization processing on the intermediate image subjected to the dual-threshold edge connection processing to obtain the preprocessing image.
Specifically, in order to ensure that the photo is clearly identifiable, the lamplight compensation is required to be performed on the object to be photographed by adopting the lamplight auxiliary device. The photographing height of the CCD camera for photographing is fixed, so that the ratio of the length of the machine needle to the pixel is unchanged in the same environment. In this embodiment, an openCV library is used to read in an image of a sewing machine needle to be processed.
Step S1012, detecting, dividing, counting and comparing the edges of the preprocessed image to obtain the return information of the user.
Further, detecting and edge outlining the preprocessed image through a machine vision shape recognition algorithm, so that a complete image of the sewing machine needle is obtained; image segmentation is carried out on the complete image of the sewing machine needle through an image gray histogram algorithm, an effective area is reserved, noise is removed through corrosion and expansion, and the area is communicated; and determining the number of the machine needles by carrying out edge detection on the communication area, drawing out the shape outline of the machine needles, and comparing the machine needles with the machine needles stored in the database.
Specifically, a Canny edge detection algorithm is used to detect edges and contours are obtained from the edges. The number of contours corresponds to the number of needle discs. If the dial is inclined, the picture is righted by using a transformation function, so that the comparison of the contours is convenient. Because the pictures are righted, the communication areas which can be framed by the same horizontal square frame all belong to the same needle, so that the influence of the middle partition on the length of the needle can be avoided, and the number of the machine needles can be known by counting the number of the square frames. And then, carrying out edge detection on the communicated areas, drawing out the shape outline of the needle, and converting the shape outline (total pixel z) of each needle into a needle handle (pixel b) and a needle head (pixel t). The length formula of the needle is z=b+t. It can be understood that by inputting needle parameters, comparing the total length, if not, comparing the next needle until all needles in the model library are compared, and if none of the needles is successfully compared, then considering the new model or broken needle; otherwise, the length of the machine needle is equal to that of a machine needle of a certain model, the coefficient ratio is compared, and if the length is equal to that of the machine needle, the machine needle model is found and the actual physical length is output; otherwise, the broken needle can be judged, at the moment, the broken needle can be conveniently identified by adopting a frame coloring method, then the machine needle model number and the quantity are listed and counted, and the borrowing and returning bill of the operation is output.
The standard dial adopts the existing dial as far as possible, but has certain requirements:
the first requirement is that the photo identification surface is transparent, each sewing machine needle can be clearly seen, the color difference between the bottom color of the needle dial and the color of the sewing machine needle is large, for example, the bottom color is black, and the sewing machine needle is silver;
the second requirement, requiring a fixed number of needles per dial, such as 10 or 20 per dial or other fixed value, ensures the standardization of the management.
Further, when the sewing machine needle placed in the management cabinet is a newly added object, warehousing processing is carried out on the sewing machine needle.
Specifically, a needle image of the sewing needle is obtained, and the needle image is subjected to marginalization processing to obtain warehousing information of the sewing needle, wherein the warehousing information comprises the type, the needle model, a needle handle pixel, a needle handle length, a needle head pixel, a needle head length and a length proportionality coefficient of the sewing needle; and displaying and storing the warehouse-in information through a management cabinet and forwarding the warehouse-in information to a sink node server.
In practical implementation, according to a single needle photograph of a sewing machine shot by a CCD camera, a Canny edge detection algorithm is utilized to outline the shape outline (represented by a pixel zx), in practical use, the shape outline of the needle is converted into two parts of a needle handle pixel (bx) and a needle head pixel (tx) because the shooting and computer costs are too high due to too high pixels, and zx=bx+tx represents the total length. The physical lengths BL and TL of the needle handle and needle tip are actually measured and correspond to pixels bx and tx, respectively. Conversion and correspondence between pixels and physical length are achieved. And the machine needle model, the needle handle pixel bx and the physical length BL, the needle head pixel tx and the physical length TL, and the ratio K (=bx/tx) of the needle handle and the needle head are stored and put in storage. It can be understood that the warehouse-in information is displayed on the management cabinet, so that an operator can check the warehouse-in information again, the warehouse-in reliability is improved, the warehouse-in information is stored and then forwarded to the sink node server, so that after the current management cabinet fails, has misoperation or malicious modification, information can be downloaded again, meanwhile, the type and the lending condition of the machine needles in each management cabinet and the management cabinet of the adjacent node area can be obtained through the sink node service, the management is facilitated, and the lending personnel can know the condition conveniently.
It should be further noted that, in other embodiments of the present invention, the method further includes: acquiring the return degree of a user on a borrowed sewing machine needle in a current management cabinet within a preset time period; and when judging that the returning degree of the sewing machine needle by the user is smaller than the lowest preset returning degree in the preset time period, controlling the management cabinet to be switched from the normal management mode to the forced maintenance mode.
Specifically, when the user returns the needle of the sewing machine that the user lends in the current management cabinet in a preset time period, such as three months, for example, the degree of returning the needle is small and the preset degree of returning the needle is small, the user indicates that the articles in the management cabinet are in a lending state for a long time, or the integrity degree of the needle returned by the user is low, normal lending can be affected, and therefore maintenance, such as reclassifying and putting on the shelf, of the articles is needed. In other embodiments of the present invention, the management cabinet may also display the location, number of items, reservation time, lending period, etc. of other cabinets that the user may lend or return.
According to the sewing machine needle management method provided by the invention, when the fact that a user enters a node area is judged, the identity information of the user and the needle information of the sewing machine needle to be returned are obtained, and the corresponding management cabinet is opened, so that the user can return the sewing machine needle to be returned conveniently; the method has the advantages that the completeness of the sewing machine needles placed in the management cabinets by users is identified, so that corresponding return records are generated according to the return information of the users, the return records are displayed through the management cabinets and are forwarded to the sink node server, so that the sink node server can count the distribution condition of the sewing machine needles in each management cabinet, and can adjust the cargo management progress and types according to the hot degree of the sewing machine needles in each cabinet in each node area, the problem that the prior art is not applicable to management of the sewing machine needles, the RFID coding management method is not applicable to management of the sewing machine needles by relying on manual management is solved, the problems that the quantity is usually inconvenient to count, the integrity standard is inconsistent, the warehouse entry and exit records are inaccurate, and potential risks exist due to tool loss are solved, the intelligent identification, the receiving and transmitting records and standardized management of the sewing machine needles are realized, and the practical application requirements are met.
Referring to fig. 3, based on the same inventive concept, a method and a system for managing needle tubes of a sewing machine according to a second embodiment of the present invention include:
the information obtaining module 10 is configured to obtain, when it is determined that a user enters the node area, identity information of the user and needle information of a sewing needle to be returned, and open a corresponding management cabinet, where the needle information includes the sewing needle and a dial.
Further, the information acquisition module 10 includes:
the information acquisition unit is used for acquiring the image information of the sewing machine needle, and carrying out noise reduction processing on the image information of the sewing machine needle through a bilateral filtering algorithm so as to obtain a preprocessed image.
Specifically, converting the image information of the sewing machine needle into a gray image, and performing Gaussian blurring treatment; calculating the gradient of the gray level image subjected to Gaussian blurring, calculating the edge amplitude and angle of the gray level image according to the gradient, and performing compression processing on a non-maximum signal to obtain an intermediate image; and performing binarization processing on the intermediate image subjected to the dual-threshold edge connection processing to obtain the preprocessing image.
And the information processing unit is used for detecting, dividing, counting and comparing the edges of the preprocessed image so as to obtain the return information of the user.
Specifically, detecting and edge outlining the preprocessed image through a machine vision shape recognition algorithm, so as to obtain a complete image of the sewing machine needle; image segmentation is carried out on the complete image of the sewing machine needle through an image gray histogram algorithm, an effective area is reserved, noise is removed through corrosion and expansion, and the area is communicated; and determining the number of the machine needles by carrying out edge detection on the communication area, drawing out the shape outline of the machine needles, and comparing the machine needles with the machine needles stored in the database.
The sewing machine management module 20 is configured to identify the integrity of the sewing machine needles placed in the management cabinet by the user, so as to obtain the return information of the user, where the integrity of the sewing machine needles includes the type, number and damage degree of the sewing machine needles.
Further, the machine needle management module 20 is further configured to perform a warehouse entry process on a sewing machine needle placed in the management cabinet when the sewing machine needle is a newly added article.
Specifically, a needle image of the sewing needle is obtained, and the needle image is subjected to marginalization processing to obtain warehousing information of the sewing needle, wherein the warehousing information comprises the type, the needle model, a needle handle pixel, a needle handle length, a needle head pixel, a needle head length and a length proportionality coefficient of the sewing needle; and displaying and storing the warehouse-in information through a management cabinet and forwarding the warehouse-in information to a sink node server.
The record generating module 30 is configured to generate a corresponding return record according to the return information of the user, and forward the return record to the sink node server while being displayed through the management cabinet.
It should be noted that, the record generating module 30 is further configured to obtain a return degree of the user to the borrowed sewing machine needle in the management cabinet within a preset period of time; and when judging that the returning degree of the sewing machine needle by the user is smaller than the lowest preset returning degree in the preset time period, controlling the management cabinet to be switched from the normal management mode to the forced maintenance mode.
According to the sewing machine needle management system provided by the invention, when the fact that a user enters a node area is judged, the identity information of the user and the needle information of the sewing machine needle to be returned are obtained, and the corresponding management cabinet is opened, so that the user can return the sewing machine needle to be returned conveniently; the method has the advantages that the completeness of the sewing machine needles placed in the management cabinets by users is identified, so that corresponding return records are generated according to the return information of the users, the return records are displayed through the management cabinets and are forwarded to the sink node server, so that the sink node server can count the distribution condition of the sewing machine needles in each management cabinet, and can adjust the cargo management progress and types according to the hot degree of the sewing machine needles in each cabinet in each node area, the problem that the prior art is not applicable to management of the sewing machine needles, the RFID coding management method is not applicable to management of the sewing machine needles by relying on manual management is solved, the problems that the quantity is usually inconvenient to count, the integrity standard is inconsistent, the warehouse entry and exit records are inaccurate, and potential risks exist due to tool loss are solved, the intelligent identification, the receiving and transmitting records and standardized management of the sewing machine needles are realized, and the practical application requirements are met. The technical features and technical effects of the needle management system of the sewing machine provided by the embodiment of the invention are the same as those of the method provided by the embodiment of the invention, and are not repeated here.
Furthermore, an embodiment of the present invention proposes a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method.
Furthermore, the embodiment of the invention also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the method.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable storage medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable storage medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other storage medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. The needle management method of the sewing machine is applied to a sink node server, and the sink node server is communicated with a management cabinet in an adjacent node area, and is characterized by comprising the following steps:
when judging that a user enters a node area, acquiring identity information of the user and needle information of a sewing needle to be returned, and opening a corresponding management cabinet, wherein the needle information comprises the sewing needle and a needle dial;
identifying the integrity of the sewing machine needles placed in the management cabinet by a user to obtain return information of the user, wherein the integrity of the sewing machine needles comprises the types, the number and the damage degree of the sewing machine needles;
generating a corresponding return record according to the return information of the user, and forwarding the return record to the sink node server while being displayed through the management cabinet;
acquiring the return degree of a user on a borrowed sewing machine needle in a current management cabinet within a preset time period; when judging that the returning degree of the sewing machine needle by the user is smaller than the lowest preset returning degree in the preset time period, controlling the management cabinet to be switched from a normal management mode to a forced maintenance mode;
the method for identifying the integrity of the sewing machine needle placed in the management cabinet by a user comprises the following steps:
acquiring the image information of the sewing machine needle, and performing noise reduction processing on the image information of the sewing machine needle through a bilateral filtering algorithm to obtain a preprocessed image, wherein the method comprises the following steps of:
converting the image information of the sewing machine needle into a gray image, and performing Gaussian blurring treatment;
calculating the gradient of the gray level image subjected to Gaussian blurring, calculating the edge amplitude and angle of the gray level image according to the gradient, and performing compression processing on a non-maximum signal to obtain an intermediate image;
performing binarization processing on the intermediate image subjected to the dual-threshold edge connection processing to obtain the preprocessing image;
detecting, dividing, counting and comparing the edges of the preprocessed image to obtain return information of the user;
the method for detecting, dividing, counting and comparing the edges of the preprocessed image comprises the following steps:
detecting and edge sketching the preprocessed image through a machine vision shape recognition algorithm, so that a complete image of the sewing machine needle is obtained, and the total pixel z of the shape outline of each needle is converted into two parts of a needle handle pixel b and a needle head pixel t, wherein the length formula of the needle is z=b+t;
image segmentation is carried out on the complete image of the sewing machine needle through an image gray histogram algorithm, an effective area is reserved, noise is removed through corrosion and expansion, and the area is communicated;
and determining the number of the machine needles by carrying out edge detection on the communication area, drawing out the shape outline of the machine needles, and comparing the machine needles with the machine needles stored in the database.
2. The method for managing needle of sewing machine according to claim 1, further comprising: and when the sewing machine needle placed in the management cabinet is a newly added object, warehousing the sewing machine needle.
3. The method for managing needle of sewing machine according to claim 2, wherein the method for performing warehouse entry processing on the sewing machine needle comprises:
acquiring a needle image of the sewing needle, and carrying out marginalization processing on the needle image to obtain warehousing information of the sewing needle, wherein the warehousing information comprises the type, the model, the needle handle pixel, the needle handle length, the needle head pixel, the needle head length and the length proportionality coefficient of the sewing needle;
and displaying and storing the warehouse-in information through a management cabinet and forwarding the warehouse-in information to a sink node server.
4. The method for managing needle of sewing machine according to claim 1, further comprising:
acquiring the return degree of a user on a borrowed sewing machine needle in a current management cabinet within a preset time period;
and when judging that the returning degree of the sewing machine needle by the user is smaller than the lowest preset returning degree in the preset time period, controlling the management cabinet to be switched from the normal management mode to the forced maintenance mode.
5. A sewing machine needle management system for use with a sink node server in communication with a management cabinet in an adjacent node area, the system comprising:
the information acquisition module is used for acquiring the identity information of the user and the needle information of the sewing needle to be returned when judging that the user enters the node area, and opening a corresponding management cabinet, wherein the needle information comprises the sewing needle and a needle dial;
the sewing machine needle management module is used for identifying the integrity of the sewing machine needles placed in the management cabinet by a user so as to obtain return information of the user, wherein the integrity of the sewing machine needles comprises the types, the quantity and the damage degree of the sewing machine needles;
the record generation module is used for generating a corresponding return record according to the return information of the user, and forwarding the return record to the sink node server while being displayed through the management cabinet;
acquiring the return degree of a user on a borrowed sewing machine needle in a current management cabinet within a preset time period; when judging that the returning degree of the sewing machine needle by the user is smaller than the lowest preset returning degree in the preset time period, controlling the management cabinet to be switched from a normal management mode to a forced maintenance mode;
the method for identifying the integrity of the sewing machine needle placed in the management cabinet by a user comprises the following steps:
acquiring the image information of the sewing machine needle, and performing noise reduction processing on the image information of the sewing machine needle through a bilateral filtering algorithm to obtain a preprocessed image, wherein the method comprises the following steps of:
converting the image information of the sewing machine needle into a gray image, and performing Gaussian blurring treatment;
calculating the gradient of the gray level image subjected to Gaussian blurring, calculating the edge amplitude and angle of the gray level image according to the gradient, and performing compression processing on a non-maximum signal to obtain an intermediate image;
performing binarization processing on the intermediate image subjected to the dual-threshold edge connection processing to obtain the preprocessing image;
detecting, dividing, counting and comparing the edges of the preprocessed image to obtain return information of the user;
the method for detecting, dividing, counting and comparing the edges of the preprocessed image comprises the following steps:
detecting and edge sketching the preprocessed image through a machine vision shape recognition algorithm, so that a complete image of the sewing machine needle is obtained, and the total pixel z of the shape outline of each needle is converted into two parts of a needle handle pixel b and a needle head pixel t, wherein the length formula of the needle is z=b+t;
image segmentation is carried out on the complete image of the sewing machine needle through an image gray histogram algorithm, an effective area is reserved, noise is removed through corrosion and expansion, and the area is communicated;
and determining the number of the machine needles by carrying out edge detection on the communication area, drawing out the shape outline of the machine needles, and comparing the machine needles with the machine needles stored in the database.
6. A storage medium having stored thereon a computer program, which when executed by a processor, implements a method according to any of claims 1 to 4.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when the program is executed by the processor.
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