An intelligent workshop control system and method based on digital twin visualization technology

Abstract

The present invention relates to the field of computer science and technology, and discloses an intelligent workshop control system and method based on digital twin visualization technology. A workshop data acquisition module, a workshop data analysis module, a workshop data service module, and a workshop data control module are established. The workshop data acquisition module is responsible for collecting data, and the data analysis module calculates the workshop protection unit according to the workshop encryption index Qiy , the virtual workshop data homomorphic encryption index Rrz , the privacy protection index Bzf , and the access control coefficient Wrq . The workshop data service module increases or decreases the data encryption tools at the connections between all modules according to the workshop encryption index Qiy , the virtual workshop data homomorphic encryption index Rrz , the privacy protection index Bzf . The workshop data control module adjusts the parameters of the control tool, the monitoring tool, and the auditing tool according to the access control coefficient Wrq .

Description

Technical Field

[0001] The present invention relates to the field of computer science and technology, and specifically to an intelligent workshop control system and method based on digital twin visualization technology. Background Art

[0002] The intelligent workshop control system and method based on digital twin visualization technology provide powerful technical support for the modernization of the manufacturing industry and have been widely applied in practice. However, the issues of data security and privacy protection remain challenges that require key attention and solution technically. This not only requires strengthening protection measures at the technical level but also requires support and guidance at the policy and regulatory levels to ensure the healthy and stable operation of the system. Summary of the Invention

[0003] (I) Technical Problems to be Solved

[0004] Aiming at the deficiencies of the prior art, the present invention provides an intelligent workshop control system and method based on digital twin visualization technology, which has the advantages of data security and privacy protection and solves the problems of data leakage risk and privacy protection challenges.

[0005] (II) Technical Solutions

[0006] To achieve the above object, the present invention provides the following technical solutions: An intelligent workshop control system based on digital twin visualization technology, comprising a workshop data acquisition module, a workshop data analysis module, a workshop data service module, and a workshop data control module;

[0007] The workshop data acquisition module includes a physical workshop data unit, a virtual workshop data unit, and a workshop twin data unit. The physical workshop data unit automatically acquires physical workshop data through Internet of Things technology, numbers it, and then connects to the data analysis module through the network. The virtual workshop data unit online acquires virtual workshop data by real-time monitoring the operation status of the physical workshop, numbers it, and then connects to the data analysis module through the network. The workshop twin data unit acquires workshop twin data through a historical data storage device, and the workshop data acquisition module connects to the workshop data analysis module through the network;

[0008] The workshop data analysis module includes a physical workshop encryption unit, a virtual workshop encryption unit, a workshop twin privacy unit, and a workshop protection unit. The physical workshop encryption unit calculates a workshop encryption index based on the physical workshop data , the homomorphic encryption index of the virtual workshop data , the workshop twin data unit calculates a privacy protection index based on the workshop twin data , the workshop protection unit based on the workshop encryption index , the homomorphic encryption index of the virtual workshop data With the privacy protection index Calculate the access control coefficient , the workshop data analysis module is connected to the workshop data service module through the network;

[0009] The workshop data service module adjusts the data encryption tools at the connections between all modules according to the workshop encryption index , the virtual workshop data homomorphic encryption index , and the privacy protection index .

[0010] The workshop data control module adjusts the parameters of the control tool, monitoring tool, and auditing tool according to the access control coefficient .

[0011] Preferably, the physical workshop data unit numbers the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data according to the physical workshop data characteristics, and the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data are numbered as , , , , , , , .

[0012] Preferably, the physical workshop encryption unit calculates the workshop encryption index according to the physical workshop data, and its calculation formula is: ;

[0013] In the formula, represents the workshop encryption index, , , , , , , , respectively represent the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data, , , , , , , , respectively represent the encryption index weights of device status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data in the workshop encryption index.

[0014] Preferably, the virtual workshop data unit numbers the public key encrypted data and private key decrypted data in the data acquisition module according to the virtual workshop data characteristics. The public key encrypted data in the data acquisition module is numbered , , … , and the private key decrypted data in the data acquisition module is numbered , , … .

[0015] Preferably, the virtual workshop data homomorphic encryption index , and its calculation formula is: ;

[0016] In the formula, represents the virtual workshop data homomorphic encryption index, , , … represent the public key encrypted data in the data acquisition module, , , … represent the private key decrypted data in the data acquisition module.

[0017] Preferably, the workshop twin data unit numbers the historical production data, historical device status data, historical environmental monitoring data, and historical quality control data according to the workshop twin data characteristics. The historical production data, historical device status data, historical environmental monitoring data, and historical quality control data are numbered , , , .

[0018] Preferably, the workshop twin data unit calculates the privacy protection index , and its calculation formula is: ;

[0019] In the formula, represents the privacy protection index, , , , respectively represent historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data, , , , represent the weights of historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data corresponding to the privacy protection index, represents the time decay factor.

[0020] Preferably, the workshop protection unit calculates the access control coefficient according to the workshop encryption index , the homomorphic encryption index of virtual workshop data and the privacy protection index , and its calculation formula is: ;

[0021] In the formula, represents the access control coefficient, represents the workshop encryption index, represents the homomorphic encryption index of virtual workshop data, represents the privacy protection index.

[0022] Preferably, the workshop data service module increases or decreases the data encryption tools at the connections between all modules according to the workshop encryption index , the homomorphic encryption index of virtual workshop data , and the privacy protection index ;

[0023] The workshop data control module adjusts the parameters of the control tool, monitoring tool, and audit tool according to the access control coefficient .

[0024] Preferably, an intelligent workshop control method based on digital twin visualization technology includes the following steps:

[0025] Step 1: Establish a workshop data acquisition module, a workshop data analysis module, a workshop data service module, and a workshop data control module;

[0026] Step 2: The workshop data acquisition module includes a physical workshop data unit, a virtual workshop data unit, and a workshop twin data unit;

[0027] Step 3: The data analysis module includes a physical workshop encryption unit, a virtual workshop encryption unit, a workshop twin privacy unit, and a workshop protection unit, and calculates the workshop protection unit according to the workshop encryption index , the homomorphic encryption index of virtual workshop data , the privacy protection index and the access control coefficient ;

[0028] Step 4: The workshop data service module increases or decreases the data encryption tools at the connections between all modules according to the workshop encryption index , the homomorphic encryption index of the virtual workshop data , and the privacy protection index .

[0029] Step 5: The workshop data control module adjusts the parameters of the control tool, the monitoring tool, and the auditing tool according to the access control coefficient .

[0030] Compared with the prior art, the present invention provides an intelligent workshop control system and method based on digital twin visualization technology, having the following beneficial effects:

[0031] 1. By calculating the workshop encryption index of the present invention, when the device status data reflects its importance in the production environment according to the weight , when is greater than 30%, it means that it occupies more than 30% of the proportion when calculating the encryption index. Therefore, when transmitting data to the next link, the data management module takes three - layer encryption measures for the sensitive data of the device status. For insensitive data (video monitoring data), when its weight is between 1% and 5%, the encryption measure takes a one - layer encryption measure.

[0032] 2. The calculation formula of the homomorphic encryption index of the virtual workshop data of the present invention includes the numerical ratio of data encryption and decryption data. According to the numerical range of the homomorphic encryption index of the virtual workshop data, it helps to determine whether there are loopholes in the transmission process from encrypted data to decrypted data. By continuously monitoring this index, it can ensure the security and privacy of data while the virtual workshop operates efficiently.

[0033] 3. By calculating the access control coefficient of the present invention, the system can dynamically adjust access permissions to cope with different security threats. When it is detected that there is a risk of data leakage during the data collection process of the data collection module, the data management module can immediately close the user access permission and the module information sharing permission of the data collection module to enhance access control and prevent sensitive information from being illegally accessed. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a schematic structural diagram of the present invention;

[0035] Figure 2 is a flowchart of the method steps of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] Please refer to Figure 1 - Figure 2 , an intelligent workshop control system based on digital twin visualization technology, including a workshop data acquisition module, a workshop data analysis module, a workshop data service module, and a workshop data control module;

[0038] The workshop data acquisition module includes a physical workshop data unit, a virtual workshop data unit, and a workshop twin data unit. The physical workshop data unit automatically acquires physical workshop data through the Internet of Things technology, numbers it, and then connects to the data analysis module through the network. The virtual workshop data unit online acquires virtual workshop data by real-time monitoring the operation status of the physical workshop, numbers it, and then connects to the data analysis module through the network. The workshop twin data unit acquires workshop twin data through a historical data storage device. The workshop data acquisition module connects to the workshop data analysis module through the network;

[0039] The workshop data analysis module includes a physical workshop encryption unit, a virtual workshop encryption unit, a workshop twin privacy unit, and a workshop protection unit. The physical workshop encryption unit calculates the workshop encryption index based on the physical workshop data, the homomorphic encryption index of the virtual workshop data , the workshop twin data unit calculates the privacy protection index based on the workshop twin data, and the workshop protection unit calculates the access control coefficient according to the workshop encryption index , the homomorphic encryption index of the virtual workshop data and the privacy protection index . The workshop data analysis module connects to the workshop data service module through the network;

[0040] The workshop data service module increases or decreases the data encryption tools at the connections between all modules according to the workshop encryption index , the homomorphic encryption index of the virtual workshop data , and the privacy protection index ;

[0041] The workshop data control module adjusts the parameters of the control tool, the monitoring tool, and the auditing tool according to the access control coefficient .

[0042] The physical workshop data unit numbers the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data according to the physical workshop data characteristics. The numbers of the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data are , , , , , , , .

[0043] The physical workshop encryption unit calculates the workshop encryption index according to the physical workshop data , and its calculation formula is: ;

[0044] In the formula, represents the workshop encryption index, , , , , , , , respectively represent the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data, , , , , , , , respectively represent the encryption index weights of the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data in the workshop encryption index.

[0045] The advantages are: by calculating the workshop encryption index , when the equipment status data reflects its importance in the production environment according to the size of the weight , when is greater than 30%, it means that it occupies more than 30% of the proportion when calculating the encryption index. Therefore, when transmitting data to the next link, the data management module takes three - layer encryption measures for the sensitive data of the equipment status. For the insensitive data (video monitoring data), when its weight is between 1% and 5%, the encryption measure takes one - layer encryption measure.

[0046] The virtual workshop data unit numbers the public-key encrypted data and private-key decrypted data in the data acquisition module according to the virtual workshop data characteristics. The public-key encrypted data in the data acquisition module is numbered 、 、 、… , and the private-key decrypted data in the data acquisition module is numbered 、 、 、… 。

[0047] The homomorphic encryption index of virtual workshop data , and its calculation formula is: ;

[0048] In the formula, represents the homomorphic encryption index of virtual workshop data, 、 、 、… represents the public-key encrypted data in the data acquisition module, 、 、 、… represents the private-key decrypted data in the data acquisition module. Represents the private-key decrypted data in the data acquisition module.

[0049] The advantages are: The calculation formula of the homomorphic encryption index of virtual workshop data includes the numerical ratio of data encryption and decryption data. According to the numerical range of the homomorphic encryption index of virtual workshop data, it helps to judge whether there are loopholes in the transmission process from encrypted data to decrypted data. By continuously monitoring this index, it can ensure the security and privacy of data while the virtual workshop is operating efficiently.

[0050] The workshop twin data unit numbers the historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data according to the workshop twin data characteristics. The historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data are numbered 、 、 、 。

[0051] The workshop twin data unit calculates the privacy protection index according to the workshop twin data, and its calculation formula is: ;

[0052] In the formula, represents the privacy protection index, , , , respectively represent historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data, , , , indicate the weights of historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data corresponding to the privacy protection index, represents the time decay factor.

[0053] The advantages are as follows: By calculating the privacy protection index to reflect the sensitivity of production data, equipment status data, environmental monitoring data, and quality control data in workshop production to time, and according to historical data in different time periods, hierarchical protection is carried out, which does not enjoy the same level as existing data. By introducing the time decay factor , the weight of old data in the privacy protection index is reduced, and security protection resources can be effectively allocated to ensure that the security protection resources of workshop historical data do not occupy the security protection resources of existing data.

[0054] The workshop protection unit calculates the access control coefficient according to the workshop encryption index , the homomorphic encryption index of virtual workshop data and the privacy protection index , and its calculation formula is: ;

[0055] In the formula, represents the access control coefficient, represents the workshop encryption index, represents the homomorphic encryption index of virtual workshop data, represents the privacy protection index.

[0056] The advantages are as follows: By calculating the access control coefficient , the system can dynamically adjust access permissions to cope with different security threats. When it is detected that there is a risk of data leakage during the data collection process of the data collection module, the data management module can immediately close the user access permission and module information sharing permission of the data collection module to enhance access control and prevent sensitive information from being illegally accessed.

[0057] The workshop data service module increases or decreases the data encryption tools at the connections between all modules according to the workshop encryption index , the homomorphic encryption index of virtual workshop data , and the privacy protection index ;

[0058] The workshop data control module adjusts the parameters of the control tool, monitoring tool, and auditing tool according to the access control coefficient.

[0059] An intelligent workshop control method based on digital twin visualization technology includes the following steps:

[0060] Step 1: Establish a workshop data acquisition module, a workshop data analysis module, a workshop data service module, and a workshop data control module;

[0061] Step 2: The workshop data acquisition module includes a physical workshop data unit, a virtual workshop data unit, and a workshop twin data unit;

[0062] Step 3: The data analysis module includes a physical workshop encryption unit, a virtual workshop encryption unit, a workshop twin privacy unit, and a workshop protection unit, and calculates the workshop protection unit according to the workshop encryption index , the virtual workshop data homomorphic encryption index , the privacy protection index , and the access control coefficient ;

[0063] Step 4: The workshop data service module increases or decreases the data encryption tools at the connections between all modules according to the workshop encryption index , the virtual workshop data homomorphic encryption index , and the privacy protection index ;

[0064] Step 5: The workshop data control module adjusts the parameters of the control tool, monitoring tool, and auditing tool according to the access control coefficient .

[0065] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent workshop control system based on digital twin visualization technology, characterized in that: It includes workshop data collection module, workshop data analysis module, workshop data service module and workshop data control module; The workshop data acquisition module includes a physical workshop data unit, a virtual workshop data unit and a workshop twin data unit. The physical workshop data unit automatically collects physical workshop data through the Internet of Things technology, and after numbering, it is connected to the data analysis module through the network. The virtual workshop data unit collects virtual workshop data online by real-time monitoring of the operating status of the physical workshop, and after numbering, it is connected to the data analysis module through the network. The workshop twin data unit collects workshop twin data through a historical data storage device, and the workshop data acquisition module is connected to the workshop data analysis module through the network; The workshop data analysis module includes a physical workshop encryption unit, a virtual workshop encryption unit, a workshop twin privacy unit and a workshop protection unit. The physical workshop encryption unit calculates the workshop encryption index based on the physical workshop data. , Virtual Workshop Data Homomorphic Encryption Index The workshop twin data unit calculates the privacy protection index based on the workshop twin data The workshop protection unit is based on the workshop encryption index , Virtual Workshop Data Homomorphic Encryption Index Privacy Protection Index Calculating the access control coefficient , the workshop data analysis module is connected to the workshop data service module through a network; The physical workshop data unit numbers the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data and edge computing device data according to the physical workshop data characteristics, and the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data and edge computing device data are numbered as follows: , , , , , , , ; The physical workshop encryption unit calculates the workshop encryption index according to the physical workshop data , and its calculation formula is: ; In the formula, represents the workshop encryption index, , , , , , , , , They represent equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data. , , , , , , , They respectively represent the encryption index weights of equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing equipment data in the workshop encryption index; The virtual workshop data unit numbers the public key encrypted data and the private key decrypted data in the data acquisition module according to the virtual workshop data characteristics. The public key encrypted data in the data acquisition module is numbered as follows: , , ,… , the private key decryption data number in the data acquisition module is , , ,… ; The virtual workshop data homomorphic encryption index , and its calculation formula is: ; In the formula, represents the virtual workshop data homomorphic encryption index, , , ,… Indicates the public key encrypted data in the data acquisition module. , , ,… Indicates the private key decrypted data in the data acquisition module; The workshop twin data unit numbers the historical production data, historical equipment status data, historical environment monitoring data and historical quality control data according to the workshop twin data characteristics, and the historical production data, historical equipment status data, historical environment monitoring data and historical quality control data are numbered as follows: , , , ; The workshop twin data unit calculates the privacy protection index according to the workshop twin data , and its calculation formula is: ; In the formula, represents the privacy protection index, , , , Respectively represent historical production data, historical equipment status data, historical environmental monitoring data and historical quality control data, , , , Indicates the weights of historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data in the privacy protection index. represents the time decay factor; The workshop protection unit is based on the workshop encryption index , Virtual Workshop Data Homomorphic Encryption Index Privacy Protection Index Calculating the access control coefficient ; The workshop data service module is based on the workshop encryption index , Virtual Workshop Data Homomorphic Encryption Index , Privacy Protection Index Add or remove data encryption tools at the connections between all modules; The workshop data control module is based on the access control coefficient Adjust the parameters of control tools, monitoring tools and audit tools.

2. An intelligent workshop control method based on digital twin visualization technology, characterized in that: The following steps are involved: Step 1: Establish workshop data collection module, workshop data analysis module, workshop data service module and workshop data control module; Step 2: The workshop data acquisition module includes a physical workshop data unit, a virtual workshop data unit and a workshop twin data unit; Step 3: The data analysis module includes the physical workshop encryption unit, the virtual workshop encryption unit, the workshop twin privacy unit and the workshop protection unit, and calculates the workshop protection unit according to the workshop encryption index. , Virtual Workshop Data Homomorphic Encryption Index , Privacy Protection Index and access control coefficient ; Step 4: The workshop data service module is based on the workshop encryption index , Virtual Workshop Data Homomorphic Encryption Index , Privacy Protection Index Add or remove data encryption tools at the connections between all modules; Step 5: The workshop data control module is based on the access control coefficient Adjust the parameters of control tools, monitoring tools and audit tools; The physical workshop data unit numbers the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data and edge computing device data according to the physical workshop data characteristics, and the equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data and edge computing device data are numbered as follows: , , , , , , , ; The physical workshop encryption unit calculates the workshop encryption index according to the physical workshop data , and its calculation formula is: ; In the formula, represents the workshop encryption index, , , , , , , , They represent equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing device data. , , , , , , , They respectively represent the encryption index weights of equipment status data, environmental monitoring data, material tracking data, personnel monitoring data, energy consumption monitoring data, quality inspection data, video monitoring data, and edge computing equipment data in the workshop encryption index; The virtual workshop data unit numbers the public key encrypted data and the private key decrypted data in the data acquisition module according to the virtual workshop data characteristics. The public key encrypted data in the data acquisition module is numbered as follows: , , ,… , the private key decryption data number in the data acquisition module is , , ,… ; The virtual workshop data homomorphic encryption index , and its calculation formula is: ; In the formula, represents the virtual workshop data homomorphic encryption index, , , ,… Indicates the public key encrypted data in the data acquisition module. , , ,… Indicates the private key decrypted data in the data acquisition module; The workshop twin data unit numbers the historical production data, historical equipment status data, historical environment monitoring data and historical quality control data according to the workshop twin data characteristics, and the historical production data, historical equipment status data, historical environment monitoring data and historical quality control data are numbered as follows: , , , ; The workshop twin data unit calculates the privacy protection index according to the workshop twin data , and its calculation formula is: ; In the formula, represents the privacy protection index, , , , Respectively represent historical production data, historical equipment status data, historical environmental monitoring data and historical quality control data, , , , Indicates the weights of historical production data, historical equipment status data, historical environmental monitoring data, and historical quality control data in the privacy protection index. represents the time decay factor; The workshop protection unit is based on the workshop encryption index , Virtual Workshop Data Homomorphic Encryption Index Privacy Protection Index Calculating the access control coefficient ; The workshop data service module is based on the workshop encryption index , Virtual Workshop Data Homomorphic Encryption Index , Privacy Protection Index Add or remove data encryption tools at the connections between all modules; The workshop data control module is based on the access control coefficient Adjust the parameters of control tools, monitoring tools and audit tools.

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