CN114626091A - System and encryption method for remote maintenance of sewing equipment - Google Patents

System and encryption method for remote maintenance of sewing equipment Download PDF

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Publication number
CN114626091A
CN114626091A CN202210237012.0A CN202210237012A CN114626091A CN 114626091 A CN114626091 A CN 114626091A CN 202210237012 A CN202210237012 A CN 202210237012A CN 114626091 A CN114626091 A CN 114626091A
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equipment
data
sewing
product
maintenance
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CN202210237012.0A
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Chinese (zh)
Inventor
崔林涛
潘建国
徐仙国
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Jack Technology Co Ltd
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Jack Technology Co Ltd
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Priority to CN202210237012.0A priority Critical patent/CN114626091A/en
Publication of CN114626091A publication Critical patent/CN114626091A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245Protecting personal data, e.g. for financial or medical purposes
    • 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
    • G06Q10/20Administration of product repair or maintenance
    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H04L63/0435Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply symmetric encryption, i.e. same key used for encryption and decryption
    • 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

Abstract

The invention discloses a system and an encryption method for remote maintenance of sewing equipment. The method aims to solve the problems that the prior art lacks the secrecy of the data transmission process of the equipment and the secrecy of the partner data; the system of the present invention comprises: the sewing factory is used for mapping the product data into equipment data in a correlation manner, encrypting the equipment data and uploading the encrypted equipment data to a cloud database; or directly sending a maintenance request to a sewing equipment manufacturer; the cloud database stores encrypted data uploaded by a sewing factory; and the sewing equipment manufacturer acquires the corresponding encrypted equipment parameters from the cloud database at regular time or after receiving the maintenance request, matches the maintenance mode after decryption and issues a maintenance instruction. The encrypted transmission of the equipment data between the sewing factory and the sewing equipment manufacturer avoids the interception of other people to the parameters, and ensures the information safety. The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed.

Description

System and encryption method for remote maintenance of sewing equipment
Technical Field
The invention relates to the field of equipment maintenance, in particular to a system and an encryption method for remote maintenance of sewing equipment.
Background
For manufacturers of sewing equipment, there is a need to remotely manage the sewing equipment, which is under the obligation of maintenance and repair for the sold sewing equipment. Therefore, the participation in the site is not needed, and the human resources are saved.
The existing intelligent sewing equipment has a networking function, and can upload self parameters of the equipment to a gateway of a factory for operations such as equipment maintenance and the like. For example, a "maintenance and management system for sewing equipment" disclosed in chinese patent literature, which is disclosed under the publication No. CN105785884B, includes a main control module of a sewing machine and a client wirelessly connected to the main control module, the client is connected to a display terminal and a monitoring terminal, the main control module collects operation data of the sewing equipment and transmits the operation data to the display terminal through the client to be classified and displayed according to a preset method, and the monitoring terminal monitors the operation data in real time and gives an alarm through the display terminal. However, this solution does not take into account the problem of confidentiality of the data.
On one hand, a sewing equipment manufacturer remotely operates and maintains equipment in a factory according to the monitored and fed back equipment parameters; because the parameter relates to enterprise secrets and is needed in the data transmission process, interception of the parameter by other people is avoided, and information safety is ensured.
On the other hand, since the device manufacturer and the factory may be different enterprises, the parameter monitoring of the operation and maintenance may involve product data, and the factory, including design patterns, shapes, and the like of the product, does not want to be known by the device manufacturer, and involves privacy problems of the partner.
Disclosure of Invention
The invention mainly solves the problems that the prior art lacks the secrecy of the data transmission process of the equipment and the secrecy of the partner data; the system and the encryption method for remote maintenance of the sewing equipment are provided, so that the equipment data is prevented from being intercepted by outsiders, and the private data between the partners is guaranteed while the equipment is maintained.
The technical problem of the invention is mainly solved by the following technical scheme:
a system for remote maintenance of sewing equipment comprising:
the sewing factory is used for mapping the product data into equipment data in a correlation manner, encrypting the equipment data and uploading the encrypted equipment data to a cloud database; or directly sending a maintenance request to a sewing equipment manufacturer;
the cloud database stores encrypted data uploaded by a sewing factory;
and the sewing equipment manufacturer acquires the corresponding encrypted equipment parameters from the cloud database at regular time or after receiving the maintenance request, matches the maintenance mode after decryption and issues a maintenance instruction.
The encrypted equipment data are uploaded to a cloud database, and the encrypted transmission of the equipment data between a sewing factory and a sewing equipment manufacturer avoids interception of parameters by other people, so that the information safety is ensured. The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed.
Preferably, the sewing factory comprises:
a product database for storing set product data of each product;
the product identification module is used for acquiring product data produced by the sewing equipment at each stage;
the data judgment module is used for comparing the acquired product data with the corresponding set product data, and if the error of the product data is greater than a set threshold value, the product data is mapped into equipment parameters and then a maintenance request is sent;
and the product data mapping module is used for associating the product data with the equipment parameters, finishing quantitative mapping by time alignment and reserving mapping marks.
The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed. And completing quantitative mapping of the product data and the equipment parameters through time alignment, and acquiring corresponding equipment parameters through an error time period of the product data.
Preferably, the sewing machine manufacturer includes:
the historical fault library comprises an equipment fault library and a product error library, and the decrypted equipment parameters are matched with the corresponding data in the historical fault library according to the mapping marks;
the equipment failure library stores historical equipment failure problems, corresponding equipment parameter expressions and solving modes;
and the product error library stores the association relation comprising the equipment parameters and the product data and historical solutions.
Whether the equipment is a problem or a product error is determined by the existence of the mapping mark, and equipment parameters need to be adjusted. And acquiring a solution for solving the problem through matching of the historical data. More pertinence is realized, even if the same parameter is expressed, different problems can be analyzed, and product errors under normal operation of equipment can be identified.
Preferably, the sewing factory further comprises:
the image encryption module is used for encrypting the monitored equipment data or the equipment data obtained by mapping into image data and uploading the image data to the cloud database;
the sewing machine manufacturer further comprises:
the image decryption module is used for restoring the image data acquired from the cloud database into equipment data and carrying out maintenance and judgment;
the maintenance request and the maintenance instruction between the sewing factory and the sewing equipment manufacturer are encrypted by a symmetric algorithm.
And the interaction of data and the interaction of instructions are encrypted by different encryption modes, so that the information security is enhanced.
An encryption method for remote maintenance of sewing equipment, comprising the steps of:
s1: monitoring equipment data of sewing equipment and product data of each stage in real time by a sewing factory; the device data are encrypted and uploaded to a cloud database;
s2: if the error of the product data exceeds the threshold value, the product data is mapped into equipment parameters in a correlation mode, and a maintenance request is sent to a sewing equipment manufacturer after a mapping mark is reserved;
s3: after receiving the maintenance request or at regular time, the sewing equipment manufacturer acquires corresponding equipment data from the cloud database, matches the maintenance mode in the corresponding historical database after decryption, and issues a maintenance instruction.
The encrypted equipment data are uploaded to a cloud database, and the encrypted transmission of the equipment data between a sewing factory and a sewing equipment manufacturer avoids interception of parameters by other people, so that the information safety is ensured. The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed.
Preferably, the device data encryption is image encryption; the image encryption comprises the following specific processes:
constructing a pixel matrix by taking time as a horizontal axis and an object as a vertical axis;
converting the equipment parameters into binary numbers;
taking eight binary numbers as a pixel bit, sequentially converting the equipment parameters into three pixel bits representing RGB numerical values, and supplementing 0 forwards when the equipment parameters are insufficient;
and generating a corresponding color block according to the converted RGB numerical value, and filling the color block to the position of a corresponding pixel matrix.
Through the process of the scheme, the equipment parameters are encrypted into the image data in a organized manner, the encryption rule is set only between a sewing factory and a sewing equipment manufacturer, and only two parties know the object represented by the longitudinal axis and the time represented by the transverse axis, so that the data is prevented from being intercepted and divulged by a third party in the transmission process, and the data safety is guaranteed.
Preferably, the specific process of step S2 is as follows:
product data obtained by monitoring is differenced with preset product data in a product database to obtain a product data error;
comparing whether the error of the product data is larger than a set threshold value, if so, mapping the product data into corresponding equipment parameters, and keeping a mapping mark, otherwise, continuing monitoring and judging;
and uploading the mapped equipment parameter image and the mapping mark to a cloud database after encrypting the mapped equipment parameter image.
And reserving a mapping mark for distinguishing whether the equipment parameter is used for judging the inherent problem of the equipment or the parameter configuration problem in the production process of the product.
Preferably, the mapping process is as follows:
setting association parameters, and associating equipment data influencing the same product data with the product data;
and when the error of the product data is larger than the threshold value, mapping the product data into corresponding and associated equipment data of the stage.
The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret involvement is reduced, and the privacy data among the cooperative parties is guaranteed.
Preferably, the specific process of step S3 is as follows:
acquiring corresponding equipment data from a cloud database after receiving a maintenance request or at regular time;
converting the encrypted image data into equipment data corresponding to time and an object in an inverse process;
judging whether the equipment data has a mapping mark, if so, matching the equipment data with data in a product error library; otherwise, matching the data with the data in the equipment fault library;
if the matching is successful, the corresponding solution mode is obtained, a maintenance instruction is generated and is sent to a sewing factory after being encrypted, otherwise, an expert request is sent.
And the mapping marks are matched with the corresponding historical database to distinguish whether the equipment parameters are used for judging the inherent problems of the equipment or the parameter configuration problems in the production process of the product.
The invention has the beneficial effects that:
1. the encrypted equipment data are uploaded to a cloud database, encrypted transmission of the equipment data between a sewing factory and a sewing equipment manufacturer is avoided, other people are prevented from intercepting parameters, and information safety is guaranteed.
2. The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed.
3. And the mapping marks are matched with the corresponding historical database to distinguish whether the equipment parameters are used for judging the inherent problems of the equipment or the parameter configuration problems in the production process of the product.
4. And the interaction of data and the interaction of instructions are encrypted respectively through different encryption modes, so that the information security is enhanced.
5. The device parameters are encrypted into image data in a regulated manner, so that the leakage of secret caused by interception of a third party in the data transmission process is avoided, and the data security is guaranteed.
Drawings
Fig. 1 is a schematic diagram of data transmission of the remote maintenance system of the device of the present invention.
Fig. 2 is a flow chart of the encryption algorithm for remote maintenance of the device of the present invention.
In the figure, 1 is a sewing factory, 1-1 is a product database, 1-2 is a product identification library, 1-3 is a data judgment module, 1-4 is a product data mapping module, 1-5 is an image encryption module, 2 is a cloud database, 3 is a sewing equipment manufacturer, 3-1 is a historical fault library, 3-2 is an image decryption module, 3-3 is an equipment fault library, and 3-4 is a product error library.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
The embodiment is as follows:
a system for remote maintenance of sewing equipment according to the present embodiment, as shown in fig. 1, includes a sewing factory 1, a cloud database 2, and a sewing equipment manufacturer 3.
The sewing factory 1 purchases sewing equipment for producing products and performing operations including sewing of clothes.
The sewing machine manufacturer 3 manufactures sewing machines, and sells the sewing machines to the sewing factory 1, which has an obligation to maintain and repair the sewing machines.
The sewing factory 1 maps the product data into the device data in a correlation manner, encrypts the device data image and uploads the encrypted device data image to the cloud database 2. Or the sewing factory 1 directly sends the encrypted maintenance request to the sewing device manufacturer 3.
The sewing factory 1 comprises a product database 1-1, a product identification module 1-2, a data judgment module 1-3, a product data mapping module 1-4 and an image encryption module 1-5.
The product database 1-1 stores therein set product data of each product. Ideal product data of each stage of the product are stored in advance, for example, parameters such as the shape, the size, the position and the stitch density of the patterns are set in the clothes embroidering stage.
The product identification module 1-2 acquires product data produced by the sewing equipment at each stage. Including but not limited to cameras and pressure sensors, etc.
For example, a camera is used to photograph the semi-finished product at each stage, and product data such as the position, size and stitch density of the pattern of the clothes after the embroidering stage are obtained through image recognition.
The data judgment module 1-3 compares the acquired product data with the corresponding set product data, and if the error of the product data is greater than the set threshold, the product data is mapped into equipment parameters and then a maintenance request is sent.
And (3) subtracting the product data acquired by each sensor from the corresponding preset product data in the product database to acquire a product data error, comparing the product data error with a set error threshold, and if the product data error is greater than the error threshold, indicating that the parameter error is too large and needs to be adjusted.
For example, the position of the acquired pattern on the garment is compared with the preset position of the pattern, and if the deviation exceeds the error threshold value of 5cm, the parameter adjustment is determined to be required.
The product data mapping module 1-4 associates the product data with the device parameters, completes quantitative mapping by time alignment, and retains mapping marks.
And the product parameter association is mapped into the equipment parameter, and the encrypted maintenance request is sent after the mapping mark is reserved.
For example, the product parameter of the pattern position is related to the equipment parameters such as needle insertion time, transfer speed, initial needle drop position and the like, the related equipment data of the embroidery stage is related to the product parameter of the pattern position, the product parameter of the pattern position is mapped into corresponding equipment parameters, and the time of the corresponding equipment data is taken as all the equipment data of the embroidery stage.
The image encryption module 1-5 encrypts the monitored equipment data or the equipment data obtained by mapping into image data and uploads the image data to the cloud database.
The image encryption method comprises the following specific processes:
the pixel matrix is constructed with time as the horizontal axis and the object as the vertical axis.
The device parameters are converted to binary numbers.
And taking eight binary numbers as a pixel bit, sequentially converting the equipment parameters into three pixel bits representing RGB numerical values, and supplementing 0 forwards when the equipment parameters are insufficient.
And generating a corresponding color block according to the converted RGB numerical value, and filling the color block to the position of a corresponding pixel matrix.
The device parameters are encrypted into image data in a organized manner, the encryption rule is set only between a sewing factory and a sewing device manufacturer, and only two parties know the object represented by the vertical axis and the time represented by the horizontal axis, so that the data is prevented from being intercepted and divulged by a third party in the transmission process, and the data safety is guaranteed.
The cloud database 2 stores encrypted data uploaded by the sewing factory 1 and periodically cleans the encrypted data.
The sewing equipment manufacturer 3 acquires the corresponding encrypted equipment parameters from the cloud database 2 at regular time or after receiving the maintenance request, matches the maintenance mode after decryption, and issues a maintenance instruction.
The sewing machine manufacturer 3 includes a history trouble library 3-1 and an image decryption module 3-2.
The image decryption module 3-2 restores the image data acquired from the cloud database 2 to the device data for maintenance and judgment.
The restoration process of the image data is the reverse process of the image encryption. The RGB data is sequentially converted into binary numbers. The abscissa corresponds to time and the ordinate corresponds to the object.
And obtaining corresponding equipment parameter raw data through binary number conversion.
The historical fault library 3-1 comprises an equipment fault library 3-3 and a product error library 3-4, and the decrypted equipment parameters are matched with the corresponding data in the historical fault library 3-1 according to the mapping marks.
The equipment failure library 3-3 stores equipment failure problems including history, corresponding equipment parameter expressions and solutions. For example, the problem of the set fault is that some part lacks lubricating oil; the corresponding equipment parameters are that the action execution time of the part is prolonged, and the temperature is increased; the solution is to add the lubricating oil.
The product error library 3-4 stores the association relationship and historical solution including the equipment parameters and the product data.
Whether the equipment is a problem or a product error is determined by the existence of the mapping mark, and equipment parameters need to be adjusted. And acquiring a solution for solving the problem through matching of the historical data. More pertinence is realized, even if the same parameter is expressed, different problems can be analyzed, and product errors under normal operation of equipment can be identified.
In the present embodiment, the maintenance request and the maintenance instruction between the sewing factory and the sewing equipment manufacturer are encrypted by a symmetric algorithm. Symmetric encryption algorithms include, but are not limited to, DES algorithm, 3DES algorithm, TDEA algorithm, Blowfish algorithm, RC5 algorithm, and IDEA algorithm.
And the interaction of data and the interaction of instructions are encrypted respectively through different encryption modes, so that the information security is enhanced.
The encryption method for remote maintenance of the sewing equipment of the embodiment comprises the following steps as shown in fig. 2:
s1: monitoring equipment data of sewing equipment and product data of each stage in real time by a sewing factory; and the device data is encrypted and uploaded to a cloud database. The device data encryption is image encryption.
The image encryption method comprises the following specific processes:
the pixel matrix is constructed with time as the horizontal axis and the object as the vertical axis.
The device parameters are converted to binary numbers.
And taking eight binary numbers as a pixel bit, sequentially converting the equipment parameters into three pixel bits representing RGB numerical values, and supplementing 0 forwards when the equipment parameters are insufficient.
And generating a corresponding color block according to the converted RGB numerical value, and filling the color block to the position of a corresponding pixel matrix.
Through the process of the scheme, the equipment parameters are encrypted into the image data in a organized manner, the encryption rule is set only between a sewing factory and a sewing equipment manufacturer, and only two parties know the object represented by the longitudinal axis and the time represented by the transverse axis, so that the data is prevented from being intercepted and divulged by a third party in the transmission process, and the data safety is guaranteed.
S2: and if the error of the product data exceeds the threshold value, the product data is mapped into the equipment parameters in a correlation manner, and a maintenance request is sent to a sewing equipment manufacturer after the mapping mark is reserved.
And (4) subtracting the product data obtained by monitoring from the preset product data in the product database to obtain a product data error.
And comparing whether the error of the product data is greater than a set threshold value, if so, mapping the product data into corresponding equipment parameters, and keeping a mapping mark, otherwise, continuing monitoring and judging.
The mapping process is as follows:
setting association parameters, and associating equipment data influencing the same product data with the product data;
and when the error of the product data is larger than the threshold value, mapping the product data into corresponding and associated equipment data of the stage.
The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed.
And uploading the mapped equipment parameter image and the mapping mark to a cloud database after encrypting the mapped equipment parameter image.
And reserving a mapping mark for distinguishing whether the equipment parameter is used for judging the inherent problem of the equipment or the parameter configuration problem in the production process of the product.
S3: after receiving the maintenance request or at regular time, the sewing equipment manufacturer acquires corresponding equipment data from the cloud database, matches the maintenance mode in the corresponding historical database after decryption, and issues a maintenance instruction.
And acquiring corresponding equipment data from the cloud database after receiving the maintenance request or at regular time.
And converting the encrypted image data into device data corresponding to time and an object in an inverse process.
Judging whether the equipment data has a mapping mark, if so, matching the equipment data with data in a product error library; otherwise, the data is matched with the data in the equipment failure library.
If the matching is successful, the corresponding solution mode is obtained, a maintenance instruction is generated and is sent to a sewing factory after being encrypted, otherwise, an expert request is sent.
And the mapping marks are matched with the corresponding historical database to distinguish whether the equipment parameters are used for judging the inherent problems of the equipment or the parameter configuration problems in the production process of the product.
According to the scheme of the embodiment, the encrypted device data are uploaded to the cloud database, the encrypted transmission of the device data between a sewing factory and a sewing device manufacturer is avoided, other people can intercept the parameters, and the information safety is guaranteed. The product data are mapped into the device data and then uploaded to the cloud database, so that the possibility of secret-related reasons is reduced, and the privacy data among the partners are guaranteed.
It should be understood that the examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.

Claims (9)

1. A system for remote maintenance of sewing equipment, comprising:
the sewing factory is used for mapping the product data into equipment data in a correlation manner, encrypting the equipment data and uploading the encrypted equipment data to a cloud database; or directly sending a maintenance request to a sewing equipment manufacturer;
the cloud database stores encrypted data uploaded by a sewing factory;
and the sewing equipment manufacturer acquires the corresponding encrypted equipment parameters from the cloud database at regular time or after receiving the maintenance request, matches the maintenance mode after decryption and issues a maintenance instruction.
2. The system for remote maintenance of sewing equipment of claim 1, wherein the sewing plant comprises:
a product database for storing set product data of each product;
the product identification module is used for acquiring product data produced by the sewing equipment at each stage;
the data judgment module is used for comparing the acquired product data with the corresponding set product data, and if the error of the product data is greater than a set threshold value, the product data is mapped into equipment parameters and then a maintenance request is sent;
and the product data mapping module is used for associating the product data with the equipment parameters, finishing quantitative mapping by time alignment and reserving the mapping marks.
3. The system for remote maintenance of sewing equipment of claim 2, wherein the sewing equipment manufacturer comprises:
the historical fault library comprises an equipment fault library and a product error library, and the decrypted equipment parameters are matched with the corresponding data in the historical fault library according to the mapping marks;
the equipment fault library stores historical equipment fault problems, corresponding equipment parameter expressions and solving modes;
and the product error library stores the association relation comprising the equipment parameters and the product data and historical solutions.
4. A system for remote maintenance of sewing equipment according to claim 1, 2 or 3, wherein the sewing plant further comprises:
the image encryption module is used for encrypting the monitored equipment data or the equipment data obtained by mapping into image data and uploading the image data to the cloud database;
the sewing machine manufacturer further comprises:
the image decryption module is used for restoring the image data acquired from the cloud database into equipment data and carrying out maintenance and judgment;
the maintenance request and the maintenance instruction between the sewing factory and the sewing equipment manufacturer are encrypted by a symmetric algorithm.
5. An encryption method for remote maintenance of sewing equipment, which adopts a system for remote maintenance of sewing equipment according to any one of claims 1 to 4, characterized by comprising the steps of:
s1: monitoring equipment data of sewing equipment and product data of each stage in real time by a sewing factory; the device data are encrypted and uploaded to a cloud database;
s2: if the error of the product data exceeds the threshold value, the product data is mapped into equipment parameters in a correlation mode, and a maintenance request is sent to a sewing equipment manufacturer after a mapping mark is reserved;
s3: after receiving the maintenance request or at regular time, the sewing equipment manufacturer acquires corresponding equipment data from the cloud database, matches the maintenance mode in the corresponding historical database after decryption, and issues a maintenance instruction.
6. The encryption method for sewing machine remote maintenance according to claim 5, wherein the device data encryption is image encryption; the image encryption method comprises the following specific processes:
constructing a pixel matrix by taking time as a horizontal axis and an object as a vertical axis;
converting the equipment parameters into binary numbers;
taking eight binary numbers as a pixel bit, sequentially converting the equipment parameters into three pixel bits representing RGB numerical values, and supplementing 0 forwards when the equipment parameters are insufficient;
and generating a corresponding color block according to the converted RGB numerical value, and filling the color block to the position of a corresponding pixel matrix.
7. The encryption method for the remote maintenance of the sewing equipment according to claim 5 or 6, wherein the step S2 is specifically performed by:
product data obtained by monitoring is differenced with preset product data in a product database to obtain a product data error;
comparing whether the error of the product data is larger than a set threshold value, if so, mapping the product data into corresponding equipment parameters, and keeping a mapping mark, otherwise, continuing monitoring and judging;
and uploading the mapped equipment parameter image and the mapping mark to a cloud database after encrypting the mapped equipment parameter image.
8. The encryption method for sewing machine remote maintenance according to claim 7, wherein the mapping process is:
setting association parameters, and associating equipment data influencing the same product data with the product data;
and when the error of the product data is larger than the threshold value, mapping the product data into corresponding associated equipment data of the stage.
9. The encryption method for remotely maintaining sewing equipment according to claim 7, wherein the step S3 comprises the following steps:
acquiring corresponding equipment data from a cloud database after receiving a maintenance request or at regular time;
converting the encrypted image data into equipment data corresponding to time and an object in an inverse process;
judging whether the equipment data has a mapping mark, if so, matching the equipment data with data in a product error library; otherwise, matching the data with the data in the equipment fault library;
if the matching is successful, the corresponding solution mode is obtained, a maintenance instruction is generated and is sent to a sewing factory after being encrypted, otherwise, an expert request is sent.
CN202210237012.0A 2022-03-11 2022-03-11 System and encryption method for remote maintenance of sewing equipment Pending CN114626091A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115695509A (en) * 2022-09-29 2023-02-03 北京宜通华瑞科技有限公司 Intelligent sewing system based on Internet of things communication protocol

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