Intelligent monitoring system for full life cycle of ship equipment

Abstract

The invention discloses a ship equipment full life cycle intelligent monitoring system, which comprises a ship equipment information integration library, a data arrangement unit, a data processing unit, a display unit and a double-library unit, and is characterized in that the data arrangement unit comprises a data information capturing module, a real-time data acquisition module and a data arrangement and arrangement module; the double-library unit comprises an equipment information temporary storage library and a state data temporary storage library, and the data information capturing module can capture life cycle data of various types of equipment of a ship from a ship equipment information integration library. According to the intelligent monitoring system for the full life cycle of the ship equipment, the state information of various ship equipment on a ship and the optimal equipment threshold analyzed according to various equipment information and multiple pieces of state information can be uniformly and intuitively displayed to an operator in the operation process, so that the operator can timely and fully know the operation state of the ship; therefore, the misoperation frequency is reduced, and the service life of various devices on the ship is prolonged.

Description

Technical Field

[0001] This invention relates to the field of ship equipment monitoring technology, specifically to an intelligent monitoring system for the entire life cycle of ship equipment. Background Technology

[0002] Marine equipment refers to any movable but non-consumable items used on board a ship, excluding spare parts.

[0003] Currently, with the further development of ship technology, the number of ship equipment is constantly increasing. Therefore, how to intuitively understand the operating status of various equipment on the ship and how to manage the entire life cycle of various equipment has become a technical challenge. Especially in actual use, due to differences in usage frequency, usage environment, staff management capabilities, and maintenance capabilities, there will inevitably be a gap between the operating status threshold of ship equipment and the set standard threshold. If timely understanding and timely adjustment can reduce the equipment failure rate and improve the service life of equipment, this application will provide a ship equipment full life cycle intelligent monitoring system to solve the above problems. Secondly, most shipyards still use manual routine inspections of all ship equipment to maintain ship equipment. This maintenance method lacks specificity, resulting in high maintenance costs for ship equipment. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an intelligent monitoring system for the entire lifecycle of ship equipment, which solves the problems mentioned in the background section.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: an intelligent monitoring system for the entire life cycle of ship equipment. This monitoring system includes a ship equipment data integration library, a data processing unit, a data processing unit, a display unit, and a dual-library unit. The data processing unit includes a data acquisition module, a real-time data acquisition module, and a data arrangement module. The dual-library unit includes a temporary storage library for equipment information and a temporary storage library for status data. The data acquisition module can extract life cycle data of various ship equipment from the ship equipment data integration library. The real-time data acquisition module can collect status parameter data of various ship equipment one by one. The data arrangement module arranges the multiple status parameter data provided by the real-time data acquisition module in sequence. The data processing unit includes an equipment information filtering module, a data comparison module, a standard threshold module, and an optimal threshold judgment module. The information filtering module extracts relevant information of various types of ship equipment from the life cycle data and stores it in the equipment information temporary storage. The data comparison module obtains the status information of various types of ship equipment from the equipment information temporary storage and compares it with the standard threshold module. Qualified threshold data will be stored in the status data temporary storage. The optimal threshold judgment module can obtain the device information and status data from the device information temporary storage and the status data from the status data temporary storage to determine the optimal threshold under the actual state. The optimal threshold proposed by the optimal threshold judgment module and the status data proposed by the data comparison module can both be displayed through the display unit.

[0006] Preferably, the device information filtering module includes a data conversion module, an invalid information blocking module, a keyword setting module, a keyword extraction module, a key statement setting module, and a key statement extraction module. The keyword setting module, keyword extraction module, key statement setting module, and key statement extraction module can comprehensively extract status data or device status information from the text.

[0007] Preferably, the data conversion module specifically converts lifecycle data or status parameters into readable text, and the invalid information filtering module specifically filters meaningless parts of the text, such as repetitions and headers, according to a pre-set rule, without deleting the specific content, thus preserving the integrity of the original data.

[0008] Preferably, the display unit includes a display body, a marking module, and an alarm module. The number of display bodies is not less than two. The marking module can mark the optimal threshold displayed by the optimal threshold judgment module through the display unit, which can enhance visual memory and provide favorable conditions for the operator to observe and learn information.

[0009] Preferably, the alarm module issues an alarm prompt after detecting that the status data displayed by the data comparison module through the display unit is much less than or much greater than the standard threshold provided by the standard threshold module, thereby enabling the operator to promptly identify and repair the corresponding equipment.

[0010] Preferably, the monitoring system also includes an identity verification module and a data encryption module. The identity verification module verifies the user's identity during the startup of the monitoring system to prevent tourists or irrelevant personnel from easily obtaining the equipment status data inside the ship equipment data integration database. The identity verification module includes fingerprint verification and card swipe verification, and fingerprint verification and card swipe verification can be used together or separately.

[0011] Preferably, the data encryption module uses PBKDF2 to encrypt the status data of various types of ships within the ship equipment data integration database, thereby ensuring the security of the ship equipment data within the database. Data security means that critical user information stored in the database cannot be directly accessed or obtained by unauthorized personnel. This information needs to be encrypted and protected. Therefore, for the security of the status data of various types of ship equipment stored within the ship equipment data integration database, the data encryption module will specifically use PBKDF2 to encrypt the information. The advantage of PBKDF2 over other algorithms is that even if the data is leaked, the most critical encrypted information can still be effectively protected. When the number of encryption iterations reaches a certain value, cracking the password will take at least a long time. Furthermore, the encoding can be arbitrarily specified in length, is irreversible, and has high security.

[0012] Preferably, the ship equipment data integration database also includes a ship equipment management unit, which includes a basic equipment information management module, an equipment monitoring feature management module, an equipment operation data update module, an equipment safe operation module, an equipment status calculation module, and an equipment historical maintenance module.

[0013] Preferably, the equipment history maintenance module includes an equipment card information management sub-module and an equipment history information maintenance sub-module.

[0014] Preferably, the equipment basic information management module manages the basic information of various types of equipment on the ship, the equipment monitoring feature management module inputs and maintains equipment monitoring feature parameters, and the equipment operation data update module records the real-time operation data of various types of equipment on the ship. The equipment safety operation module is responsible for inputting and maintaining the normal operating range of the monitoring characteristics of the equipment and determining the CWBT ship maintenance level. The equipment status calculation module includes the ImDTW algorithm to calculate the correlation between ship equipment. The equipment health status prediction module uses ImDTW-MTGNN to predict the ship's operating status. The equipment maintenance level calculation module determines the equipment maintenance level according to the CWBT standard based on the prediction results. The equipment card information management module is used to record the equipment maintenance information and is responsible for recording the equipment's historical maintenance information.

[0015] Beneficial effects This invention provides an intelligent monitoring system for the entire lifecycle of ship equipment, which has the following beneficial effects: This intelligent monitoring system for the entire lifecycle of ship equipment can display the status information of various ship equipment and the optimal threshold values ​​of the equipment analyzed from multiple equipment information and status information to the operator in a unified and intuitive way. This allows the operator to understand the ship's operating status in a timely and comprehensive manner, thereby reducing the frequency of erroneous operations and extending the service life of various equipment on the ship.

[0016] The intelligent monitoring system for the entire lifecycle of ship equipment features a verification module that can authenticate users during initial use or repeated operation, thereby enhancing the overall security and reliability of the system during use.

[0017] This intelligent monitoring system for the entire lifecycle of ship equipment uses information technology through a set of ship equipment management units to improve the ability to maintain and manage ship equipment and to accurately analyze the operating status of ship equipment. This provides technical support for the development of ship equipment maintenance plans and solves the problems existing in the current technology. Attached Figure Description

[0018] Figure 1 This is a schematic diagram illustrating the principle of the present invention; Figure 2 This is a schematic diagram of the ship equipment management unit of the present invention; Figure 3 This is a schematic diagram of the management method of the ship equipment management unit of the present invention.

[0019] In the diagram: 1. Ship equipment data integration library; 2. Data organization unit; 3. Data processing unit; 4. Display unit; 5. Dual-database unit; 6. Identity verification module; 7. Data encryption module; 8. Ship equipment management unit. Detailed Implementation

[0020] Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1 This invention provides a technical solution: an intelligent monitoring system for the entire life cycle of ship equipment. The monitoring system includes a ship equipment data integration library 1, a data processing unit 2, a data processing unit 3, a display unit 4, and a dual-library unit 5. The data processing unit 2 includes a data acquisition module, a real-time data acquisition module, and a data arrangement module. The dual-library unit 5 includes a temporary storage library for equipment information and a temporary storage library for status data. The data acquisition module can extract life cycle data of various types of ship equipment from the ship equipment data integration library 1. The real-time data acquisition module can collect status parameter data of various types of ship equipment one by one. The data arrangement module arranges the multiple status parameter data provided by the real-time data acquisition module in order. Data processing unit 3 includes an equipment information filtering module, a data comparison module, a standard threshold module, and an optimal threshold judgment module. The information filtering module extracts relevant information of various ship equipment from life cycle data and stores it in the equipment information temporary storage. The equipment information filtering module includes a data conversion module, an invalid information masking module, a keyword setting module, a keyword extraction module, a key statement setting module, and a key statement extraction module. The keyword setting module, keyword extraction module, key statement setting module, and key statement extraction module can comprehensively extract status data or equipment status information from the text. The data conversion module specifically converts lifecycle data or status parameters into readable text, while the invalid information masking module specifically masks meaningless parts of the text, such as repetitions and headers, according to pre-set rules, without deleting the actual content and preserving the integrity of the original data. The data comparison module retrieves the status information of various ship equipment from the equipment information temporary storage and compares it with the standard threshold module. Qualified threshold data will be stored in the status data temporary storage. The optimal threshold judgment module can obtain the equipment information and status data from the equipment information temporary storage and judge the optimal threshold under the actual state. The optimal threshold proposed by the optimal threshold judgment module and the status data proposed by the data comparison module can be displayed through the display unit 4.

[0022] In summary, this intelligent monitoring system for the entire lifecycle of ship equipment can display the status information of various ship equipment and the optimal threshold values ​​of the equipment analyzed from multiple equipment information and status information to the operator in a unified and intuitive way. This allows the operator to understand the ship's operating status in a timely and comprehensive manner, thereby reducing the frequency of erroneous operations and extending the service life of various equipment on the ship.

[0023] Example 2 A smart monitoring system for the entire lifecycle of ship equipment is disclosed. The monitoring system includes a ship equipment data integration library 1, a data processing unit 2, a data processing unit 3, a display unit 4, and a dual-library unit 5. The data processing unit 2 includes a data acquisition module, a real-time data acquisition module, and a data arrangement module. The dual-library unit 5 includes a temporary storage library for equipment information and a temporary storage library for status data. The data acquisition module can extract lifecycle data of various types of ship equipment from the ship equipment data integration library 1. The real-time data acquisition module can collect status parameter data of various types of ship equipment one by one. The data arrangement module arranges the multiple status parameter data provided by the real-time data acquisition module in order. Data processing unit 3 includes an equipment information filtering module, a data comparison module, a standard threshold module, and an optimal threshold judgment module. The information filtering module extracts relevant information about various ship equipment from lifecycle data and stores it in the corresponding equipment information temporary storage. This module includes a data conversion module, an invalid information masking module, a keyword setting module, a keyword extraction module, a key statement setting module, and a key statement extraction module. The keyword setting, keyword extraction, key statement setting, and key statement extraction modules can comprehensively extract status data or equipment status information from text. The data conversion module specifically converts lifecycle data or status parameters into usable data. The text reading and invalid information filtering module specifically filters out meaningless parts of the text, such as repetitions and headers, according to pre-set rules, but does not delete the specific content, thus preserving the integrity of the original data. The data comparison module obtains the status information of various ship equipment from the equipment information temporary storage and compares it with the standard threshold module. Qualified threshold data will be stored in the status data temporary storage. The optimal threshold judgment module can obtain the equipment information from the equipment information temporary storage and the status data from the status data temporary storage to judge the optimal threshold under the actual state. The optimal threshold proposed by the optimal threshold judgment module and the status data proposed by the data comparison module can both be displayed through the display unit 4. Display unit 4 includes a display body, a marking module, and an alarm module. The number of display bodies is no less than two. The marking module can mark the optimal threshold value displayed by the optimal threshold judgment module through display unit 4, which can enhance visual memory and provide favorable conditions for the operator to observe and learn information. The alarm module will issue an alarm prompt when it detects that the status data displayed by the data comparison module through the display unit 4 is much less than or much greater than the standard threshold provided by the standard threshold module, so that the operator can promptly discover and repair the corresponding equipment.

[0024] In summary, this intelligent monitoring system for the entire life cycle of ship equipment compares the operational status data of ship equipment to determine whether there are any abnormalities, and then displays the corresponding alarms through the display unit 4. This enables ship operators to promptly understand any abnormalities in the ship equipment and eliminate any faults or potential hazards. Furthermore, the intuitive display, with its individual marker of the optimal threshold, can enhance the instantaneous memory of ship operators, thereby enabling them to fully understand the overall system's operational status in a short period of time.

[0025] Example 3 A smart monitoring system for the entire lifecycle of ship equipment is disclosed. The monitoring system includes a ship equipment data integration library 1, a data processing unit 2, a data processing unit 3, a display unit 4, and a dual-library unit 5. The data processing unit 2 includes a data acquisition module, a real-time data acquisition module, and a data arrangement module. The dual-library unit 5 includes a temporary storage library for equipment information and a temporary storage library for status data. The data acquisition module can extract lifecycle data of various types of ship equipment from the ship equipment data integration library 1. The real-time data acquisition module can collect status parameter data of various types of ship equipment one by one. The data arrangement module arranges the multiple status parameter data provided by the real-time data acquisition module in order. Data processing unit 3 includes an equipment information filtering module, a data comparison module, a standard threshold module, and an optimal threshold judgment module. The information filtering module extracts relevant information about various ship equipment from lifecycle data and stores it in the corresponding equipment information temporary storage. This module includes a data conversion module, an invalid information masking module, a keyword setting module, a keyword extraction module, a key statement setting module, and a key statement extraction module. The keyword setting, keyword extraction, key statement setting, and key statement extraction modules can comprehensively extract status data or equipment status information from text. The data conversion module specifically converts lifecycle data or status parameters into usable data. The text reading and invalid information filtering module specifically filters out meaningless parts of the text, such as repetitions and headers, according to pre-set rules, but does not delete the specific content, thus preserving the integrity of the original data. The data comparison module obtains the status information of various ship equipment from the equipment information temporary storage and compares it with the standard threshold module. Qualified threshold data will be stored in the status data temporary storage. The optimal threshold judgment module can obtain the equipment information from the equipment information temporary storage and the status data from the status data temporary storage to judge the optimal threshold under the actual state. The optimal threshold proposed by the optimal threshold judgment module and the status data proposed by the data comparison module can both be displayed through the display unit 4. The monitoring system also includes an identity verification module 6 and a data encryption module 7. The identity verification module 6 verifies the user's identity during the system's startup to prevent tourists or unauthorized personnel from easily accessing the equipment status data within the ship equipment data integration database 1. The identity verification module 6 includes fingerprint verification and card swipe verification, and fingerprint verification can be used in conjunction with or alone with card swipe verification. The data encryption module 7 uses PBKDF2 to encrypt the status data of various types of ships within the ship equipment data integration database 1, thereby ensuring the security of the ship equipment data within the database 1. Data security means that critical user information stored in the database cannot be directly accessed by unauthorized personnel and needs to be encrypted for protection. Therefore, for the security of the various ship equipment status data stored within the ship equipment data integration database 1, the data encryption module 7 will specifically use PBKDF2 to encrypt the information. The advantage of PBKDF2 over other algorithms is that even if data is leaked, the most critical encrypted information can still be effectively protected. When the number of encryption iterations reaches a certain value, cracking the password will take a very long time, and the encoding can be arbitrarily specified in length, is irreversible, and has high security.

[0026] In summary, the intelligent monitoring system for the entire lifecycle of ship equipment, when started and operated, can verify the identity of users through the verification module, thereby improving the overall safety and reliability of the system during use. The protection of the status data of ship equipment within the ship equipment data integration database 1 is achieved by the data encryption module 7 using the PBKDF2 method to encrypt and protect the status data of various types of ships within the ship equipment data integration database 1. For example, the original password for the username ship is yonghuyi, with 128 iterations. After encryption, the password becomes 9D5303F721204487267FA9D1D42ABBB6. Cracking this password would require a high time cost, thus ensuring sufficient security.

[0027] Example 4 A smart monitoring system for the entire lifecycle of ship equipment is disclosed. The monitoring system includes a ship equipment data integration library 1, a data processing unit 2, a data processing unit 3, a display unit 4, and a dual-library unit 5. The data processing unit 2 includes a data acquisition module, a real-time data acquisition module, and a data arrangement module. The dual-library unit 5 includes a temporary storage library for equipment information and a temporary storage library for status data. The data acquisition module can extract lifecycle data of various types of ship equipment from the ship equipment data integration library 1. The real-time data acquisition module can collect status parameter data of various types of ship equipment one by one. The data arrangement module arranges the multiple status parameter data provided by the real-time data acquisition module in order. Data processing unit 3 includes an equipment information filtering module, a data comparison module, a standard threshold module, and an optimal threshold judgment module. The information filtering module extracts relevant information about various ship equipment from lifecycle data and stores it in the corresponding equipment information temporary storage. This module includes a data conversion module, an invalid information masking module, a keyword setting module, a keyword extraction module, a key statement setting module, and a key statement extraction module. The keyword setting, keyword extraction, key statement setting, and key statement extraction modules can comprehensively extract status data or equipment status information from text. The data conversion module specifically converts lifecycle data or status parameters into usable data. The text reading and invalid information filtering module specifically filters out meaningless parts of the text, such as repetitions and headers, according to pre-set rules, but does not delete the specific content, thus preserving the integrity of the original data. The data comparison module obtains the status information of various ship equipment from the equipment information temporary storage and compares it with the standard threshold module. Qualified threshold data will be stored in the status data temporary storage. The optimal threshold judgment module can obtain the equipment information from the equipment information temporary storage and the status data from the status data temporary storage to judge the optimal threshold under the actual state. The optimal threshold proposed by the optimal threshold judgment module and the status data proposed by the data comparison module can both be displayed through the display unit 4. The ship equipment data integration database 1 also includes a ship equipment management unit 8, which includes a basic equipment information management module, an equipment monitoring feature management module, an equipment operation data update module, an equipment safe operation module, an equipment status calculation module, and an equipment historical maintenance module. The equipment historical maintenance module includes an equipment card information management sub-module and an equipment historical information maintenance sub-module. The Equipment Basic Information Management module manages the basic information of various ship equipment. The Equipment Monitoring Feature Management module inputs and maintains equipment monitoring feature parameters. The Equipment Operation Data Update module records real-time operation data of various ship equipment. The Equipment Safe Operation module inputs and maintains the normal operation range of monitoring features and the CWBT ship maintenance level determination rules. The Equipment Status Calculation module includes the ImDTW algorithm to calculate the correlation between ship equipment. The Equipment Health Status Prediction module uses ImDTW-MTGNN to predict the ship's operating status. The Equipment Maintenance Level Calculation module determines the equipment maintenance level according to the CWBT standard based on the prediction results. The Equipment Card Information Management module is used to record equipment maintenance information and is responsible for recording historical equipment maintenance information.

[0028] In summary, by using information technology in the established ship equipment management unit 8, the ability to maintain and manage ship equipment and the ability to accurately analyze the operating status of ship equipment are improved, thereby providing technical support for the formulation of ship equipment maintenance plans and solving the problems existing in the current technology.

[0029] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0030] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart monitoring system for the entire lifecycle of ship equipment, characterized in that: The monitoring system includes a ship equipment data integration library (1), a data processing unit (2), a data processing unit (3), a display unit (4), and a dual-library unit (5). The data processing unit (2) includes a data acquisition module, a real-time data acquisition module, and a data arrangement module. The dual-library unit (5) includes a temporary storage library for equipment information and a temporary storage library for status data. The data acquisition module can extract lifecycle data of various ship equipment from the ship equipment data integration library (1). The real-time data acquisition module can collect status parameter data of various ship equipment one by one. The data arrangement module arranges multiple status parameter data provided by the real-time data acquisition module in order. The data processing unit (3) includes an equipment information filtering module, a data comparison module, a standard threshold module, and an optimal threshold judgment module. The information filtering module extracts relevant information of various ship equipment from the life cycle data and stores it in the equipment information temporary storage. The data comparison module obtains the status information of various ship equipment from the equipment information temporary storage and compares it with the standard threshold module. Qualified threshold data will be stored in the status data temporary storage. The optimal threshold judgment module can obtain the equipment information and status data of the equipment information temporary storage and judge the optimal threshold under the actual state. The optimal threshold proposed by the optimal threshold judgment module and the status data proposed by the data comparison module can be displayed through the display unit (4).

2. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 1, characterized in that: The device information filtering module includes a data conversion module, an invalid information filtering module, a keyword setting module, a keyword extraction module, a key statement setting module, and a key statement extraction module. The keyword setting module, keyword extraction module, key statement setting module, and key statement extraction module can comprehensively extract status data or device status information from the text.

3. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 2, characterized in that: The data conversion module specifically converts lifecycle data or status parameters into readable text, while the invalid information filtering module specifically filters out meaningless parts, repetitions, and headers in the text according to pre-set rules, but does not delete the actual content, thus preserving the integrity of the original data.

4. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 1, characterized in that: The display unit (4) includes a display body, a marking module, and an alarm module. The number of display bodies is not less than two. The marking module can mark the optimal threshold displayed by the optimal threshold judgment module through the display unit (4) to enhance visual memory.

5. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 1, characterized in that: The alarm module will issue an alarm prompt after detecting that the status data displayed by the data comparison module through the display unit (4) is much less than or much greater than the standard threshold provided by the standard threshold module.

6. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 1, characterized in that: The monitoring system also includes an identity verification module (6) and a data encryption module (7). The identity verification module (6) verifies the user's identity during the startup of the monitoring system. The identity verification module (6) includes fingerprint verification and card swipe verification. The fingerprint verification method and the card swipe verification method can be used together or separately.

7. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 6, characterized in that: The data encryption module (7) uses the PBKDF2 method to encrypt the status data of various ships inside the ship equipment data integration library (1), thereby ensuring the security of ship equipment data inside the ship equipment data integration library (1).

8. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 1, characterized in that: The ship equipment data integration library (1) is also equipped with a ship equipment management unit (8), which includes a basic equipment information management module, an equipment monitoring feature management module, an equipment operation data update module, an equipment safe operation module, an equipment status calculation module, and an equipment historical maintenance module.

9. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 8, characterized in that: The equipment history maintenance module includes an equipment card information management sub-module and an equipment history information maintenance sub-module.

10. The intelligent monitoring system for the entire life cycle of ship equipment according to claim 8, characterized in that: The equipment basic information management module manages the basic information of various types of equipment on the ship, the equipment monitoring feature management module is for inputting and maintaining equipment monitoring feature parameters, and the equipment operation data update module records the real-time operation data of various types of equipment on the ship. The equipment safety operation module is responsible for inputting and maintaining the normal operating range of the monitoring characteristics of the equipment and determining the CWBT ship maintenance level. The equipment status calculation module includes the ImDTW algorithm to calculate the correlation between ship equipment. The equipment health status prediction module uses ImDTW-MTGNN to predict the ship's operating status. The equipment maintenance level calculation module determines the equipment maintenance level according to the CWBT standard based on the prediction results. The equipment card information management module is used to record the equipment maintenance information and is responsible for recording the equipment's historical maintenance information.

Images