Display element dynamic secrecy method based on human-computer interaction interface

Abstract

The invention discloses a display element dynamic secrecy method based on a human-computer interaction interface, which comprises the following steps of: identifying contents of a secrecy file and a human-computer interaction interface of production field equipment, and dividing secrecy grades according to an identification result; acquiring user information, and acquiring a permission level of a user according to the user information; and matching the permission level with the confidentiality level, and dynamically displaying predetermined content in the confidential content according to a matching result. The method comprises the following steps: identifying confidential contents, and dividing confidentiality levels according to an identification result; dynamic adjustment and display of confidential information such as sensitive formulas are achieved, and the risk that the confidential information is stolen or accidentally leaked is reduced. User information is acquired, and the authority level of a user is acquired according to the user information; the authority of the user is controlled, so that the information access control is more accurate, and the practicability and the security of the system are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a dynamic confidentiality method for display elements based on a human-computer interaction interface. Background Art

[0002] In production processes involving complex recipes, operators often need to view and input sensitive information such as raw material ratios through a human-machine interface (HMI). However, traditional HMI systems lack effective security protection measures when displaying this data, which can easily lead to illegal copying or leakage of recipes, causing significant economic losses to companies. Therefore, it is urgent to develop a display technology that can meet operational needs while ensuring recipe security. Summary of the invention

[0003] In order to solve the confidentiality problem of process documents such as product formulas, the present invention provides a dynamic confidentiality method for display elements based on a human-machine interface. In industrial production involving precise formulas, while operators use a human-machine interface (HMI) to control production, this method can effectively prevent core formula data from being viewed or recorded by unauthorized personnel. In addition, while ensuring information security, this method can also ensure efficient production operations and dynamically adjust the technical solution of display information details to avoid affecting normal production operations and maintenance work due to excessive confidentiality.

[0004] The method for dynamic confidentiality of a display element based on a human-computer interaction interface comprises the following steps:

[0005] Identify the contents of confidential documents and the human-machine interface of production site equipment, and classify confidentiality levels based on the identification results;

[0006] Obtain user information, and obtain the user's permission level based on the user information;

[0007] The authority level is matched with the confidentiality level, and predetermined contents in the contents of the confidentiality file and the human-computer interaction interface of the production site equipment are dynamically displayed according to the matching result.

[0008] Preferably, the content of the human-machine interaction interface between the confidentiality document and the production site equipment includes a first visual content and a second visual content; the first visual content is open to each authority level, and the second visual content is dynamically displayed to each authority level.

[0009] Preferably, the process of identifying the contents of the confidentiality document and the human-machine interface of the production site equipment, and dividing the confidentiality level according to the identification result, includes the following steps:

[0010] Using natural language processing and machine learning algorithms to identify the content of the human-machine interface between confidential documents and production site equipment, and identifying characters in the human-machine interface between confidential documents and production site equipment; and using optical character recognition technology to extract the characters;

[0011] Determining whether the character is a parameter item of the current process;

[0012] If so, it means that the characters are confidential content, and the confidentiality level is divided according to the content of the current process parameter item.

[0013] Preferably, the process of obtaining user information and obtaining the user's authority level according to the user information comprises the following steps:

[0014] Obtaining user information of the current user, and determining whether the current user is a legitimate user based on the user information;

[0015] Verify the permission level of legitimate users and obtain the user's permission level based on the verification results.

[0016] Preferably, the method of obtaining the user information of the current user includes at least one of biometrics, password, and smart card.

[0017] Preferably, the permission level verification process adopts a method including one of a permission password, biometrics or a smart card, and the permission level verification method is a method other than obtaining user information of the current user.

[0018] Preferably, the dynamic confidentiality method for display elements based on a human-computer interaction interface also includes the following steps: obtaining the user information of the current user, if the current user is an illegal user; setting all the contents of the confidentiality file and the human-computer interaction interface of the production site equipment as a second visual file, and displaying them through a virtual image; and immediately triggering an alarm.

[0019] Preferably, the dynamic confidentiality method for display elements based on a human-computer interaction interface also includes the following steps: monitoring all user operations and recording access logs; the access logs include at least one of user information, login time, viewed content, and operation details.

[0020] Preferably, the process of using natural language processing and machine learning algorithms to identify the content of the human-machine interface between the confidential document and the production site equipment, and identifying the characters in the human-machine interface between the confidential document and the production site equipment; and extracting the characters using optical character recognition technology includes the following steps:

[0021] Obtain the contents of the confidential document and the human-machine interaction interface of the production site equipment that need to be displayed, and divide the area containing characters in the process document into rectangular character areas;

[0022] Divide the rectangular character area into a plurality of character blocks;

[0023] Then, the outline pixels representing characters in each character block are extracted through the existing natural language processing and machine learning algorithms, and then the optical character recognition technology is used to extract the characters to obtain the character content in each character block.

[0024] Preferably, the process of determining whether the character is a parameter item of the current process includes:

[0025] The characters are compared with the pre-stored or previously recorded process parameters. When the similarity between the characters and the pre-stored or previously recorded process parameters is greater than or equal to 50%, it means that the characters in the character block are process parameter contents, and the characters in the character block are identified as parameter items of the previous process.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The dynamic confidentiality method for display elements based on the human-machine interaction interface described in the present invention identifies the contents of the human-machine interaction interface between confidential documents and production site equipment, and divides the confidentiality level according to the identification results; dynamically adjusts and displays confidential information such as sensitive formulas, reduces the risk of confidential information being stolen or accidentally leaked, and protects the core intellectual property rights of the enterprise. By obtaining user information, the user's authority level is obtained according to the user information; the user's authority control is implemented to make information access control more accurate, which not only meets the work needs of different positions, but also strengthens the granularity of information security management, and enhances the practicality and security of the system. By matching the authority level with the confidentiality level, the predetermined content in the content of the human-machine interaction interface between the confidential document and the production site equipment is dynamically displayed according to the matching results. The user authority dynamic adjustment information display is realized, and the information security.

[0028] Traditional manual management methods are difficult to accurately and timely identify and protect all sensitive information. The dynamic confidentiality method of display elements based on the human-computer interaction interface provided by the present invention can automatically identify sensitive parts in the recipe data and dynamically adjust the display strategy according to preset rules or real-time analysis to adapt to complex production environments and changing operating scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A dynamic confidentiality method for a display element based on a human-computer interaction interface in an embodiment of the present invention;

[0030] Figure 2 The present invention is a flowchart of obtaining user information and obtaining the user's authority level according to the user information in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings and the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0032] Reference Figure 1 This embodiment discloses a dynamic confidentiality method for a display element based on a human-computer interaction interface, comprising the following steps:

[0033] Step S1, identify the contents of the confidentiality file and the human-machine interface of the production site equipment, and divide the confidentiality level according to the identification results. Natural language processing (NLP) and machine learning algorithms can be used to analyze the process files of the equipment and automatically analyze the process parameters of the current equipment. After the personnel log on to the machine, the preset OCR (Optical Character Recognition) in the HMI is read and matched with the process parameters analyzed above to automatically identify sensitive information such as formula ingredients and ratios on the interface. There is no need for manual preset labels, and it is suitable for formula data in different formats and expressions.

[0034] The confidentiality level of the content of the human-computer interaction interface between confidential documents and production site equipment can be set to L, and L can be set to 1 / 2 / 3 / 4 / 5, etc. The larger the L value, the higher the confidentiality level. The confidentiality level can be determined according to the content in the human-computer interaction interface between confidential documents and production site equipment. Files of different confidentiality levels can only be displayed normally under specific conditions. Under non-specific conditions, it is replaced by other virtual pictures or symbols to prevent leakage. The L value can be set according to actual conditions. Specifically, different confidentiality levels can be specific content that needs to be kept confidential in the content of the human-computer interaction interface between confidential documents and production site equipment.

[0035] The content of the human-machine interface between the confidential document and the production site equipment includes a first visual content and a second visual content of a predetermined authority level, wherein the first visual content is content that can be viewed normally at all authority levels, and the first visual content can be viewed by all users as long as their identity is legal. The second visual content can be set to the confidentiality level.

[0036] The content of the human-computer interaction interface between the confidentiality file and the production site equipment includes the first visual content and the second visual content; the first visual content is open to each authority level, and the second visual content is dynamically displayed for each authority level. For example, the second visual content is the content that is kept confidential for users with a lower authority level than the corresponding user, so the content of the second visual content displayed on the display may be inconsistent with the actual content. The second visual may be information that is expected to be dynamically shielded (including but not limited to product formula, process conditions, specific ingredient names, material composition, material quotation, material unit price, material inventory and consumption, etc.); the computer device corresponding to the display may be configured to display the specific file content in a manner that only authorized users can display. The first visual content may be conventional content such as production time, BOM table name, formulater, formulation time, etc. In order to enhance security, different confidentiality levels of content may be pre-defined, so as to establish a confidentiality dictionary or vocabulary database, so as to set the confidentiality level of the second visual content. The confidentiality level of the product formula name may be defined as level 1, while the confidentiality level of the product formula content and processing conditions may be defined as level 5.

[0037] The process of generating a false image for the second visual content may also include obtaining the displayed position information and size of the second visual content, obtaining the size of the false image according to the size, and displaying the false image according to the position information, thereby realizing dynamic confidential display of the second visual content. The size may be the number of characters of the second visual content, and the position information may be the pixel position of the current display, or the position information of the row and column in the corresponding document.

[0038] The process of using natural language processing and machine learning algorithms to identify the process files and characters in the process files; and using optical character recognition technology to extract the characters includes the following steps:

[0039] Obtain the contents of the confidential document and the human-machine interface of the production site equipment that currently needs to be displayed (the process file can be an embodiment of the contents of the confidential document or the human-machine interface of the production site equipment), and divide the area containing characters in the process file into rectangular character areas. Usually, the rectangular character areas are in accordance with the screen display size. Specifically, the rectangular character areas are smaller than or equal to the screen size and can cover all the characters in the contents of the human-machine interface of the confidential document and the production site equipment. Usually, the aspect ratio is 16:9 or 4:3, and of course, it can also be other sizes.

[0040] The rectangular character area is divided into a plurality of character blocks. For example, the rectangular character area can be equally divided into 12 character blocks of 3 rows and 4 columns. By performing character recognition on a plurality of character blocks respectively, the speed of character recognition can be effectively improved.

[0041] Then, the outline pixels representing characters in each character block are extracted through the existing natural language processing and machine learning algorithms, and then the optical character recognition technology is used to extract the characters to obtain the character content in each character block.

[0042] Then, the character content of each character block is identified, and it is determined whether the character content contains the parameter items of the previous process. If so, it should be dynamically displayed as confidential content. For example, when the character content is compared with the pre-stored or recorded process parameters, when the similarity between the two is greater than or equal to 50%, it means that the character content in the character block is the process parameter content.

[0043] The process of identifying the contents of confidential documents and the human-machine interface of production site equipment and classifying confidentiality levels according to the identification results may include the following steps:

[0044] The content of the human-machine interface between confidential documents and production site equipment is identified by using natural language processing and machine learning algorithms, and the characters in the human-machine interface between confidential documents and production site equipment are identified; the characters are extracted by using optical character recognition technology; it is determined whether the characters are parameters of the current process; if so, it means that the characters are confidential content, and the confidentiality level is divided according to the content of the current process parameter item. The use of natural language processing and machine learning algorithms to identify the content of the human-machine interface between confidential documents and production site equipment can reduce manual intervention, improve system response speed and adaptability, and reduce misoperation and management costs.

[0045] The process of using natural language processing and machine learning algorithms to identify the content of the human-machine interaction interface between the confidentiality document and the production site equipment, and identifying the characters in the human-machine interaction interface between the confidentiality document and the production site equipment; and extracting the characters using optical character recognition technology includes the following steps: obtaining the content of the human-machine interaction interface between the confidentiality document and the production site equipment that currently needs to be displayed, dividing the area containing the characters in the process document into rectangular character areas; and dividing the rectangular character area into a plurality of character blocks;

[0046] Then, the outline pixels representing characters in each character block are extracted through the existing natural language processing and machine learning algorithms, and then the optical character recognition technology is used to extract the characters to obtain the character content in each character block.

[0047] The position information and size of the display of the second visual content mentioned above may be the position and size of a character block, and then the corresponding character may be covered by a virtual image.

[0048] The process of determining whether the character is a parameter item of the current process includes: comparing the character with a pre-stored or previously recorded process parameter. When the similarity between the character and the pre-stored or previously recorded process parameter is greater than or equal to 50%, it indicates that the character in the character block is the process parameter content, and the character in the character block is identified as a parameter item of the previous process.

[0049] Step S2, obtain user information, and obtain the user's authority level based on the user information. A multi-level verification mechanism is adopted, including but not limited to biometrics, passwords, smart cards, etc., to ensure that only authorized personnel who have undergone strict authentication can access the HMI system and access sensitive information. For example, before logging in, the personnel must be identified as a single person on the computer through video surveillance, and face recognition as an accessible person, and then enter the authority password for secondary identification before entering the HMI interface. It can automatically identify the sensitive parts of the recipe data, preset rules according to the user's authority level, and analyze and dynamically adjust the display strategy in real time to adapt to complex production environments and changing operating scenarios.

[0050] When obtaining user information, the number of users currently watching can also be monitored through a camera. If the current viewing user is only one person, user information verification can be performed. Otherwise, verification cannot be passed. The user can pre-register user information on the system, and the user information is set to different authority levels. For example, the authority level can be set to K, and K can be 1 / 2 / 3 / 4 / 5, etc. The larger the K value, the greater the authority. The size of K is consistent with the value of L. If the authority level is 5, then the highest level of file confidentiality is only 5. Among them, users with different authority levels can view the confidentiality of file content, which is also graded in a gradient. For example, a user with an authority level of 4 can view content with confidentiality levels of 1-4, while content with confidentiality level 5 is all open to them. The user authority level can be associated with at least one user information describing the corresponding characteristics of the user. The user information can be such as account number, ID number, biometrics, email address, contact number, etc. When registering the user information, the system retrieves the status of the registrant relative to the user. For example, the system can determine whether the registrant is a registered user of the online system. If the user is already registered, the system can prompt whether to update the old user information and whether to update the permissions, etc. User registration is performed by an account registered with a predetermined permission, for example, only users with a permission level of at least level 4 can perform the registration operation, or only administrators can perform the registration operation. If the user is not already registered, the system can remind the user to set the user level for the newly registered user.

[0051] The permission level of the user letter can be limited according to the identity of personnel in different departments. For example, the permission level of R&D personnel is 4 and they can view product formulas, process conditions, specific ingredient names, material composition, etc., while the permission level of financial personnel is 3 and they can view material quotations, material unit prices, material inventory and consumption, etc. However, financial personnel cannot view all the content that R&D personnel can view.

[0052] Reference Figure 2 The process of obtaining user information and obtaining the user's authority level according to the user information includes the following steps:

[0053] Step S21, obtaining user information of the current user, and determining whether the current user is a legitimate user based on the user information;

[0054] Step S22, verifying the authority level of the legal user, and obtaining the authority level of the user according to the verification result. Since the authority level of the user has been set in advance when registering the user information, after obtaining the user information of the current user through at least one of biometrics, password, and smart card, a secondary verification can be performed, and then the authority level can be found from a pre-set database, thereby realizing the authority level verification of the legal user and obtaining the authority level of the user, so as to dynamically display the second visual content.

[0055] The authorization level verification process adopts one of the following methods: authorization password, biometrics or smart card. The authorization level verification method is a method other than obtaining the user information of the current user. For example, if the current user is obtained through face recognition, then when verifying the authorization level, it is necessary to verify it through a method other than face recognition, such as authorization password, smart card or fingerprint verification, so as to verify it through multiple mechanisms and improve security.

[0056] Step S3, matching the authority level with the confidentiality level, and dynamically displaying the predetermined content in the content of the human-computer interaction interface between the confidentiality file and the production site equipment according to the matching result. The content to be displayed is identified by OCR technology, and then it is verified whether the identified content to be displayed exists in the given confidentiality definition dictionary or vocabulary data. If it exists, the authority level of the current user can be determined, and the content to be displayed is dynamically displayed according to the authority level. When the current user level is not enough to view all the registration files, a false image will be generated for the corresponding content to be displayed. For example, the authority of the current viewing user is level 1, and the user can only view the first visual content. Therefore, all the content that may be confidential in the content of the human-computer interaction interface between the confidentiality file and the production site equipment is the second visual content of the user. Therefore, when the user views the registration file, the content corresponding to a certain product formula can be configured in the display to be modified to a blurred state or replaced with other pictures in the spare frame sorting. The blurred state can be mosaic, blank or pure black color blocking, etc. The process of replacing with other pictures can be to pre-store the corresponding pictures in advance, and after determining the second visual content, replace the pictures with the second visual content. Dynamically adjust the display elements on the HMI interface according to the user's permission level. For unauthorized or low-privileged users, use graphic masking, character replacement, dynamic blurring and other technologies to hide sensitive information from them on the display layer, while providing a complete information view to high-privileged users to maintain operational convenience. By setting the user's permission level, the display elements on the HMI interface can be dynamically adjusted. For unauthorized or low-privileged users, use graphic masking, character replacement, dynamic blurring and other technologies to hide sensitive information from them on the display layer, while providing a complete information view to high-privileged users to maintain operational convenience.

[0057] As another preferred embodiment, in order to further improve security, a dynamic confidentiality method for display elements based on a human-machine interaction interface can set an early warning mechanism. Obtain the user information of the current user. If the current user is an illegal user, set the contents of the confidentiality file and the human-machine interaction interface of the production site equipment as a second visual file and display them through a virtual image; and immediately trigger an alarm. Once biometrics detects potential security threats or illegal access behaviors such as non-single-person access or personnel leaving the machine, an alarm is immediately triggered, and measures such as immediate restoration of the shielding state, restriction of access rights, and notification of management personnel are taken to quickly respond to security incidents.

[0058] As another preferred embodiment, in order to further ensure security, the dynamic confidentiality method of the display element based on the human-computer interaction interface also includes a monitoring mechanism, which includes monitoring all user operations and recording access logs; the access logs include at least one of user information, login time, viewed content, and operation details. The system continuously monitors all user operations and records access logs, including login time, viewed content, operation details, etc., to provide a basis for security audits and abnormal behavior tracking, and enhance the transparency and security of the system.

[0059] The dynamic confidentiality method for display elements based on the human-machine interaction interface described in the present invention identifies the contents of the human-machine interaction interface between confidential documents and production site equipment, and divides the confidentiality level according to the identification results; dynamically adjusts and displays confidential information such as sensitive formulas, reduces the risk of confidential information being stolen or accidentally leaked, and protects the core intellectual property rights of the enterprise. By obtaining user information, the user's authority level is obtained according to the user information; the user's authority control is implemented to make information access control more accurate, which not only meets the work needs of different positions, but also strengthens the granularity of information security management, and enhances the practicality and security of the system. By matching the authority level with the confidentiality level, the predetermined content in the content of the human-machine interaction interface between the confidential document and the production site equipment is dynamically displayed according to the matching results. The user authority dynamic adjustment information display is realized, and the information security.

[0060] Compared with the existing formula confidentiality technology, the formula confidentiality method based on dynamic shielding of display elements of human-machine interaction interface proposed by the present invention shows the following significant beneficial effects:

[0061] 1. Significantly enhance confidentiality: By intelligently identifying sensitive formula information and dynamically adjusting display strategies, even authorized users can only access complete information when necessary, greatly reducing the risk of formula theft or accidental disclosure, and protecting the company's core intellectual property rights.

[0062] 2. Improve operational flexibility and efficiency: This technical solution dynamically adjusts information display according to user permissions on the basis of ensuring confidentiality, ensuring the smoothness of production operations, avoiding the decline in production efficiency that may be caused by traditional confidentiality measures, and achieving a win-win situation of confidentiality and efficiency.

[0063] 3. Fine-grained permission management: The use of multi-level user identity authentication and permission control systems makes information access control more precise, which not only meets the work requirements of different positions, but also strengthens the granularity of information security management and enhances the practicality and security of the system.

[0064] 4. Improved automation and intelligence levels: With the help of advanced technologies such as natural language processing and machine learning, sensitive content can be automatically identified, reducing human intervention, improving system response speed and adaptability, and reducing misoperation and management costs.

[0065] 5. Enhanced compliance and traceability: The system records comprehensive operational behavior logs for easy review and traceability, meets industry regulatory requirements, and is conducive to enterprises establishing a sound security management system and reducing legal risks and compliance costs.

[0066] 6. Strengthened emergency response capabilities: The integrated emergency response mechanism can take prompt action in the face of security threats, reduce losses, and improve system stability and the company's emergency management level.

[0067] In summary, this patented technology has not only achieved a breakthrough in confidentiality, but also taken into account production efficiency, management convenience, compliance and system stability, providing a comprehensive and efficient solution for industries involving formula confidentiality. Compared with existing technologies, it has obvious advantages and innovative value.

[0068] In summary, this patented technology has not only achieved a breakthrough in confidentiality, but also taken into account production efficiency, management convenience, compliance and system stability, providing a comprehensive and efficient solution for industries involving formula confidentiality. Compared with existing technologies, it has obvious advantages and innovative value.

[0069] The above-described embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or changes made by those skilled in the art based on the present invention are within the protection scope of the present invention. The protection scope of the present invention shall be subject to the claims.

Claims

1. A dynamic confidentiality method for display elements based on a human-computer interaction interface, characterized in that: The steps include: Identify the contents of confidential documents and the human-machine interface of production site equipment, and classify confidentiality levels based on the identification results; Obtain user information, and obtain the user's permission level based on the user information; The authority level is matched with the confidentiality level, and predetermined contents in the contents of the confidentiality file and the human-computer interaction interface of the production site equipment are dynamically displayed according to the matching result.

2. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 1, characterized in that: The content of the human-computer interaction interface between the confidentiality file and the production site equipment includes a first visual content and a second visual content; the first visual content is open to each authority level, and the second visual content is dynamically displayed to each authority level.

3. The dynamic confidentiality method for display elements based on a human-computer interaction interface according to claim 1 or 2, characterized in that: The process of identifying the contents of confidential documents and the human-machine interface of production site equipment, and classifying confidentiality levels according to the identification results, includes the following steps: Using natural language processing and machine learning algorithms to identify the content of the human-machine interface between confidential documents and production site equipment, and identifying characters in the human-machine interface between confidential documents and production site equipment; and using optical character recognition technology to extract the characters; Determining whether the character is a parameter item of the current process; If so, it means that the characters are confidential content, and the confidentiality level is divided according to the content of the current process parameter item.

4. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 3, characterized in that: The process of obtaining user information and obtaining the user's authority level according to the user information includes the following steps: Obtaining user information of the current user, and determining whether the current user is a legitimate user based on the user information; Perform permission level verification on legitimate users and obtain the user's permission level based on the verification results.

5. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 4, characterized in that: The method of obtaining the user information of the current user includes at least one of biometrics, password, and smart card.

6. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 4, characterized in that: The authorization level verification process adopts a method including an authorization password, biometrics or a smart card, and the authorization level verification method is a method other than obtaining user information of the current user.

7. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 4, characterized in that: Obtaining user information of the current user, if the current user is an illegal user; taking the contents of the confidential file and the human-computer interaction interface of the production site equipment as a second visual file, and displaying it through a virtual image; At the same time, the alarm is triggered immediately.

8. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 3, characterized in that: It also includes monitoring all user operations and recording access logs; the access logs include at least one of user information, login time, viewed content, and operation details.

9. The method for dynamic confidentiality of display elements based on a human-computer interaction interface according to claim 3, characterized in that: The process of using natural language processing and machine learning algorithms to identify the content of the human-machine interface between the confidential document and the production site equipment, and identifying the characters in the human-machine interface between the confidential document and the production site equipment; and extracting the characters using optical character recognition technology includes the following steps: Obtain the contents of the confidential document and the human-machine interaction interface of the production site equipment that need to be displayed, and divide the area containing characters in the process document into rectangular character areas; Divide the rectangular character area into a plurality of character blocks; Then, the outline pixels representing characters in each character block are extracted through the existing natural language processing and machine learning algorithms, and then the optical character recognition technology is used to extract the characters to obtain the character content in each character block.

10. The dynamic confidentiality method of display element based on human-computer interaction interface according to claim 9, characterized in that: The process of determining whether the character is a parameter item of the current process includes: The characters are compared with the pre-stored or previously recorded process parameters. When the similarity between the characters and the pre-stored or previously recorded process parameters is greater than or equal to 50%, it means that the characters in the character block are process parameter contents, and the characters in the character block are identified as parameter items of the previous process.

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