Maintenance decision automatic generation system and method based on fault diagnosis result

Abstract

This invention discloses an automatic maintenance decision generation system and method based on fault diagnosis results, specifically relating to the field of equipment operation and maintenance technology. It includes an indicator receiving module, a decision matrix module, a decision matching engine, and a result output and push module. The indicator receiving module receives comprehensive health indicators and auxiliary severity indicators from the fault diagnosis system. The decision matrix module stores and maintains the predefined decision matrix. The decision matching engine executes the matching logic between indicators and the decision matrix, generating maintenance decision results. The result output and push module outputs the decision results and can push them to external systems. All decision-making processes in this invention are traceable, facilitating operation and maintenance audits and effectiveness evaluations, and enabling continuous optimization of maintenance strategies. This invention achieves efficient and standardized decision-making, realizes a closed-loop operation and maintenance system, reduces reliance on expert experience, and improves management transparency.

Description

Technical Field

[0001] This invention relates to the field of equipment operation and maintenance technology, and more specifically, to an automatic maintenance decision generation system and method based on fault diagnosis results. Background Technology

[0002] With the development of intelligent diagnostic technology, the monitoring and evaluation of equipment status has become highly automated and accurate. For example, vibration signal analysis can be used to calculate quantitative indicators reflecting the health status of equipment. However, in current operation and maintenance practices, the process from obtaining diagnostic results to generating and executing maintenance work orders often still relies on manual judgment and operation. Maintenance engineers need to interpret diagnostic reports, judge the severity and urgency of the fault based on personal experience, and then manually create maintenance tasks in the work order system. This model has several significant drawbacks: 1) Decision delay: There is a time lag between diagnosis and action, which may cause the best window for repair to be missed; 2) Inconsistent decision-making: Different engineers have different levels of experience and may make different maintenance decisions for the same diagnostic results, lacking standardization; 3) Inefficiency: Manually creating and dispatching work orders is labor-intensive, and in enterprises with a large number of devices, this process becomes extremely cumbersome.

[0003] Therefore, there is an urgent need for an automatic maintenance decision generation system and method based on fault diagnosis results to solve the above problems. Summary of the Invention

[0004] To overcome the aforementioned deficiencies of existing technologies, embodiments of the present invention provide an automated maintenance decision generation system and method based on fault diagnosis results. This invention eliminates manual judgment, achieves second-level decision-making, ensures consistency in processing diagnostic results across different devices and at different times, and significantly improves the standardization level of operation and maintenance management. This invention connects the entire chain from "data perception" to "diagnostic analysis" to "maintenance execution," truly realizing an automated closed loop for predictive maintenance and significantly shortening fault response time. This invention solidifies the decision-making experience of senior engineers into a decision matrix, enabling ordinary operation and maintenance personnel to make expert-level decisions, reducing the enterprise's reliance on specific individuals. All decision-making processes in this invention are traceable, facilitating operation and maintenance audits and effectiveness evaluations, and continuously optimizing maintenance strategies. This invention achieves efficient and standardized decision-making, realizes a closed-loop operation and maintenance system, reduces reliance on expert experience, and improves management transparency, thus addressing the problems raised in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an automatic maintenance decision generation system based on fault diagnosis results, comprising an indicator receiving module, a decision matrix module, a decision matching engine, and a result output and push module; The indicator receiving module is used to receive comprehensive health indicators and auxiliary severity indicators from the fault diagnosis system; The decision matrix module is used to store and maintain the predefined decision matrix; The decision matching engine is used to execute the matching logic between indicators and decision matrices, and generate maintenance decision results; The result output and push module is used to output the decision results and can push them to external systems.

[0006] In a preferred embodiment, the result output and push module integrates an application programming interface (API) with at least one work order management system to enable automatic data transmission.

[0007] The automatic maintenance decision generation method based on fault diagnosis results includes the aforementioned automatic maintenance decision generation system based on fault diagnosis results and the following steps: Step 1: Receive the comprehensive health index used to characterize the overall health status of the equipment and the auxiliary severity index used to characterize the stage of failure development; Step 2: Match the comprehensive health index and auxiliary severity index with a predefined decision matrix. The decision matrix stores the mapping relationship between different ranges of index combinations and fault level, maintenance urgency level and recommended maintenance strategy. Step 3: Based on the matching results, automatically generate and output maintenance decision results including fault level, maintenance urgency level, and specific recommended maintenance strategies; Step 4: Automatically convert the maintenance decision results into a standardized work order format and push it to the work order management system or the designated maintenance terminal.

[0008] In a preferred embodiment, the decision matrix in step two includes at least five fault levels: “normal”, “attention”, “warning”, “critical”, and “dangerous”. Each fault level is associated with a unique maintenance urgency level and one or more recommended maintenance strategies.

[0009] In a preferred embodiment, the "normal" level corresponds to planned maintenance without a specific maintenance strategy; the "attention" level corresponds to "low" urgency and "intensified monitoring" strategy; the "warning" level corresponds to "medium" urgency and "preparing spare parts" strategy; the "serious" level corresponds to "high" urgency and "planned shutdown for maintenance" strategy; and the "dangerous" level corresponds to "urgent" urgency and "immediate shutdown for maintenance" strategy.

[0010] In a preferred embodiment, the matching process in step two is as follows: first, a preliminary fault level range is determined based on the comprehensive health index, and then the final fault level is determined within this range based on the auxiliary severity index.

[0011] The technical effects and advantages of this invention are as follows: This invention eliminates the manual judgment step, achieving second-level decision-making and ensuring consistency in the processing of diagnostic results across different devices and at different times. This significantly improves the standardization level of operation and maintenance management. It connects the entire chain from "data perception" to "diagnostic analysis" to "maintenance execution," truly realizing an automated closed loop for predictive maintenance and significantly shortening fault response time. This invention solidifies the decision-making experience of senior engineers into the decision matrix, enabling ordinary operation and maintenance personnel to make expert-level decisions, reducing the company's reliance on specific individuals. All decision-making processes in this invention are traceable, facilitating operation and maintenance audits and effectiveness evaluations, and continuously optimizing maintenance strategies. This invention achieves efficient and standardized decision-making, realizes a closed-loop operation and maintenance system, reduces reliance on expert experience, and improves management transparency. Detailed Implementation

[0012] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. 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.

[0013] This invention provides an automatic maintenance decision generation system based on fault diagnosis results, including an indicator receiving module, a decision matrix module, a decision matching engine, and a result output and push module; The indicator receiving module is used to receive comprehensive health indicators and auxiliary severity indicators from the fault diagnosis system; The decision matrix module is used to store and maintain the predefined decision matrix; The decision matching engine is used to execute the matching logic between indicators and decision matrices, and generate maintenance decision results; The result output and push module is used to output the decision results and can push them to external systems.

[0014] The result output and push module integrates an application programming interface with at least one work order management system to enable automatic data transmission.

[0015] The automatic maintenance decision generation method based on fault diagnosis results includes the aforementioned automatic maintenance decision generation system based on fault diagnosis results and the following steps: Step 1: Receive the comprehensive health index used to characterize the overall health status of the equipment and the auxiliary severity index used to characterize the stage of failure development; Step 2: Match the comprehensive health index and auxiliary severity index with a predefined decision matrix. The decision matrix stores the mapping relationship between different ranges of index combinations and fault level, maintenance urgency level and recommended maintenance strategy. Step 3: Based on the matching results, automatically generate and output maintenance decision results including fault level, maintenance urgency level, and specific recommended maintenance strategies; Step 4: Automatically convert the maintenance decision results into a standardized work order format and push it to the work order management system or the designated maintenance terminal.

[0016] In step two, the decision matrix includes at least five fault levels: "normal", "attention", "warning", "serious" and "dangerous". Each fault level is associated with a unique maintenance urgency level and one or more recommended maintenance strategies.

[0017] The “Normal” level corresponds to planned maintenance without a specific maintenance strategy; the “Attention” level corresponds to “low” urgency and a “intensified monitoring” strategy; the “Warning” level corresponds to “medium” urgency and a “prepare spare parts” strategy; the “Severe” level corresponds to “high” urgency and a “planned shutdown for maintenance” strategy; and the “Danger” level corresponds to “urgent” urgency and an “immediate shutdown for maintenance” strategy.

[0018] The matching process in step two is as follows: first, a preliminary fault level range is determined based on the comprehensive health index, and then the final fault level is determined within this range based on the auxiliary severity index.

[0019] The core of this invention lies in a predefined multi-level decision matrix and an automated matching and execution process. This matrix is ​​a pre-configured rule base that maps the numerical ranges of diagnostic indicators (comprehensive health indicators and auxiliary severity indicators) to specific operational actions. The matrix defines at least five incremental fault levels (e.g., L0 Normal to L4 Dangerous), each explicitly associated with: 1) maintenance urgency (e.g., low, medium, high, urgent); 2) recommended maintenance strategies (e.g., "encrypted monitoring," "preparing spare parts," "planned downtime," "immediate downtime"). After receiving real-time diagnostic indicators, the decision matching engine immediately compares them with the rules in the decision matrix, finds the matching fault level, and automatically generates a decision result containing all key information (fault level, urgency, strategy). Furthermore, this system can integrate with the API interface of the work order management system, automatically formatting decision results into standard work orders and directly sending them to the mobile terminals of the executing departments or personnel, achieving seamless "diagnosis as work order" flow. This invention eliminates the manual judgment link, achieves second-level decision-making, ensures the consistency of diagnostic results processing across different devices and at different times, and greatly improves the standardization level of operation and maintenance management. This invention connects the entire chain from "data perception" to "diagnostic analysis" to "maintenance execution," truly realizing an automated closed loop of predictive maintenance and significantly shortening fault response time. This invention solidifies the decision-making experience of senior engineers into the decision matrix, enabling ordinary operation and maintenance personnel to make expert-level decisions, reducing the enterprise's dependence on specific individuals. All decision-making processes in this invention are traceable, facilitating operation and maintenance audits and effect evaluations, and continuously optimizing maintenance strategies. This invention achieves efficient and standardized decision-making, realizes a closed loop in operation and maintenance, reduces reliance on expert experience, and improves management transparency.

[0020] Example 1 1. Input reception: The system continuously monitors or periodically receives the latest comprehensive health indicators (e.g., 0.8) and auxiliary severity indicators (e.g., 75%) from the fault diagnosis system.

[0021] 2. Decision Matching: The decision matching engine matches the received indicators (0.5, 80%) with the predefined decision matrix. The matching process can be as follows: First, determine which range the comprehensive health indicator 0.5 falls into (for example, the range of L3 severity is 0.3-0.8). Then, determine whether the auxiliary severity indicator 80% meets the requirements of L3 level (for example, >70%). If both are met, the fault level is determined to be L3.

[0022] 3. Result Generation: Based on the matched L3 level, the system automatically generates the decision result: (1) Fault level: L3 (severe); (2) Urgency of maintenance: High; (3) Recommended maintenance strategy: Arrange for shutdown and emergency repair.

[0023] 4. Result Push (Optional): The result output and push module encapsulates the decision result into a message and sends it to the enterprise's work order management system through the integrated API interface. The work order system automatically creates a high-priority maintenance work order and assigns it to the corresponding maintenance team, while also pushing the notification to the team leader's mobile device.

[0024] Table 1: Decision Matrix Table

[0025] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it.

[0026] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system for automatically generating a maintenance decision based on a result of a failure diagnosis, characterized by: It includes an indicator receiving module, a decision matrix module, a decision matching engine, and a result output and push module; The indicator receiving module is used to receive comprehensive health indicators and auxiliary severity indicators from the fault diagnosis system; The decision matrix module is used to store and maintain the predefined decision matrix; The decision matching engine is used to execute the matching logic between indicators and decision matrices, and generate maintenance decision results; The result output and push module is used to output the decision results and can push them to external systems.

2. The system for automatic generation of maintenance decisions based on results of fault diagnosis according to claim 1, characterized in that: The result output and push module integrates an application programming interface with at least one work order management system to enable automatic data transmission.

3. A method for automatically generating a maintenance decision based on a failure diagnosis result, characterized by: Includes the automatic maintenance decision generation system based on fault diagnosis results as described in claims 1-2, and the following steps: Step 1: Receive the comprehensive health index used to characterize the overall health status of the equipment and the auxiliary severity index used to characterize the stage of failure development; Step 2: Match the comprehensive health index and auxiliary severity index with a predefined decision matrix. The decision matrix stores the mapping relationship between different ranges of index combinations and fault level, maintenance urgency level and recommended maintenance strategy. Step 3: Based on the matching results, automatically generate and output maintenance decision results including fault level, maintenance urgency level, and specific recommended maintenance strategies; Step 4: Automatically convert the maintenance decision results into a standardized work order format and push it to the work order management system or the designated maintenance terminal.

4. The automatic maintenance decision generation method based on fault diagnosis results according to claim 3, characterized in that: In step two, the decision matrix includes at least five fault levels: "normal", "attention", "warning", "critical" and "dangerous". Each fault level is associated with a unique maintenance urgency level and one or more recommended maintenance strategies.

5. The method of claim 4, wherein the method further comprises: The "Normal" level corresponds to planned maintenance without a specific maintenance strategy; the "Attention" level corresponds to "Low" urgency and "Intensive Monitoring" strategy; the "Warning" level corresponds to "Medium" urgency and "Prepare Spare Parts" strategy; the "Severe" level corresponds to "High" urgency and "Planned Shutdown for Maintenance" strategy; and the "Danger" level corresponds to "Emergency" urgency and "Immediate Shutdown for Maintenance" strategy.

6. The method of claim 3, wherein the method further comprises: The matching process in step two is as follows: first, a preliminary fault level range is determined based on the comprehensive health index, and then the final fault level is determined within this range based on the auxiliary severity index.

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