Optimization method of equipment maintenance method, equipment maintenance auxiliary system and related equipment

Abstract

The invention provides an optimization method of an equipment maintenance method, an equipment maintenance auxiliary system and related equipment, and the optimization method comprises the steps: receiving a first maintenance method of target equipment, and obtaining a stored second maintenance method corresponding to the target equipment; determining a first equipment feature in the first maintenance method and a second equipment feature in the second maintenance method in response to the fact that the maintenance types of the first maintenance method and the second maintenance method are the same but the maintenance operations are different; in response to the fact that the first equipment feature and the second equipment feature are at least partially the same, obtaining a first maintenance result index of the first maintenance method and a second maintenance result index of the second maintenance method; and in response to the fact that the data value of the first maintenance result index is superior to the data value of the second maintenance result index, storing the first maintenance method to replace the second maintenance method. The optimization method, the auxiliary system and the related equipment provided by the invention are simple and convenient, the maintenance method can be updated timely and effectively, and the maintenance quality is improved.

Description

Technical Field

[0001] This application relates to the field of equipment maintenance technology, and in particular to an optimized method for equipment maintenance, an equipment maintenance auxiliary system, and related equipment. Background Technology

[0002] Pumped storage hydroelectric power utilizes electricity generated during periods of low electricity demand to pump water into an upper reservoir. During periods of high electricity demand, the water stored in the upper reservoir is released into a lower reservoir to generate electricity. It is also known as energy storage power generation. It can convert excess electricity during periods of low grid load into high-value electricity during periods of high grid load. It is suitable for frequency and phase regulation, can be used to stabilize the frequency and voltage of the power system, is suitable for emergency backup, and can also improve the efficiency of thermal power plants and nuclear power plants in the power system.

[0003] With the rapid development of science and technology and the continuous improvement of industrial automation, as the scale of industrial production expands and the complexity of equipment increases, the maintenance of pumped storage power stations has become increasingly important to ensure the safe and stable operation of equipment. Maintenance methods also need to be constantly updated to improve maintenance effectiveness. At present, there are a large number of maintenance methods for similar equipment, and how to optimize the existing maintenance methods is an urgent problem to be solved. Summary of the Invention

[0004] In view of this, the purpose of this application is to propose an optimized method for equipment maintenance, an equipment maintenance auxiliary system, and related equipment to solve the above-mentioned technical problems.

[0005] A first aspect of this application provides an optimization method for an equipment maintenance method, comprising: receiving a first maintenance method for a target device, and acquiring a second maintenance method stored corresponding to the target device; in response to the first maintenance method and the second maintenance method having the same maintenance category but different maintenance operations, determining a first equipment feature corresponding to the target device in the first maintenance method and a second equipment feature corresponding to the target device in the second maintenance method; in response to the first equipment feature and the second equipment feature being at least partially the same, acquiring a first maintenance result index of the first maintenance method and a second maintenance result index of the second maintenance method; and in response to the data value of the first maintenance result index being better than the data value of the second maintenance result index, storing the first maintenance method to replace the second maintenance method.

[0006] Furthermore, the equipment characteristics of the target equipment include equipment brand, equipment model, equipment capacity, equipment service life, equipment industry, equipment operating temperature, equipment operating pressure, or equipment operating flow rate; the first equipment characteristic and the second equipment characteristic are at least partially the same, including: the feature overlap rate of the first equipment characteristic and the second equipment characteristic reaches a preset overlap rate or higher; or, the equipment model, equipment capacity, and equipment service life in the first equipment characteristic and the second equipment characteristic are all the same.

[0007] A second aspect of this application provides an equipment maintenance assistance system, comprising: a database configured to store second maintenance methods; a maintenance terminal located near a target device, communicatively connected to the database, configured to receive a first maintenance method for the target device, and acquire a second maintenance method stored for the target device; in response to the first maintenance method and the second maintenance method having the same maintenance category but different maintenance operations, determining a first device feature corresponding to the target device in the first maintenance method and a second device feature corresponding to the target device in the second maintenance method; in response to the first device feature and the second device feature being at least partially identical, acquiring a first maintenance result index for the first maintenance method and a second maintenance result index for the second maintenance method; and in response to the data value of the first maintenance result index being better than the data value of the second maintenance result index, storing the first maintenance method to replace the second maintenance method.

[0008] Furthermore, the database includes a data collection module, a data storage module, a data preprocessing module, and a data security management module; the data collection module is configured to collect maintenance data; the data preprocessing module is configured to clean and label the maintenance data; the data security management module is configured to encrypt the maintenance data and set access permissions; and the data storage module is configured to store the maintenance data.

[0009] Furthermore, the cleaning includes removing duplicate data, erroneous data, or incomplete data, and the labeling includes classifying the maintenance data by setting labels using a multimodal model or a pre-trained large model.

[0010] Furthermore, the maintenance terminal includes a data query module, a report module, a graphical explanation module, an abnormal data feedback module, a report generation module, a safety briefing module, and an acceptance module. The data query module is configured to query the maintenance data in the database. The report module is configured to generate a maintenance report based on the target equipment and the maintenance data. The graphical explanation module is configured to display the maintenance instructions for the target equipment. The abnormal data feedback module is configured to issue an alarm message in response to the value of the maintenance data exceeding a preset range. The report generation module is configured to generate a report after the maintenance of the target equipment is completed. The safety briefing module is configured to display the maintenance risk information of the target equipment. The acceptance module is configured to set at least one level of acceptance node, and issue a prompt message in response to the acceptance node failing to confirm acceptance within a preset time.

[0011] Furthermore, the maintenance terminal is equipped with an artificial intelligence model assistant, which is configured to acquire problem information, analyze and determine tags, retrieve maintenance data based on the tags, and generate solution information.

[0012] A third aspect of this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement an optimized method of the device maintenance method described in the first aspect above.

[0013] A fourth aspect of this application provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform an optimized method of the equipment maintenance method described in the first aspect above.

[0014] A fifth aspect of this application provides a computer program product, including computer program instructions, characterized in that, when the computer program instructions are executed on a computer, the computer causes the computer to perform an optimized method of the equipment maintenance method described in the first aspect above.

[0015] As can be seen from the above description, this application provides an optimization method for equipment maintenance, an equipment maintenance auxiliary system, and related equipment. The optimization method includes: receiving a first maintenance method for a target device and obtaining a second maintenance method stored for the corresponding target device; in response to the first maintenance method and the second maintenance method having the same maintenance category but different maintenance operations, determining a first equipment feature corresponding to the target device in the first maintenance method and a second equipment feature corresponding to the target device in the second maintenance method; in response to the first equipment feature and the second equipment feature being at least partially the same, obtaining a first maintenance result index for the first maintenance method and a second maintenance result index for the second maintenance method; in response to the data value of the first maintenance result index being better than the data value of the second maintenance result index, storing the first maintenance method to replace the second maintenance method. By comparing maintenance categories and operations, the new maintenance method is ensured to be of the same type as the old method but with different operations, providing a basis for updating the maintenance method. By comparing equipment characteristics, it can be ensured that the new maintenance method is applicable to the target equipment corresponding to the old maintenance method, ensuring that the new maintenance method can achieve the corresponding maintenance effect. By comparing maintenance result indicators, it can be ensured that the new maintenance method can improve maintenance quality. The optimization method of this equipment maintenance method, the equipment maintenance auxiliary system, and related equipment are simple and convenient, enabling timely and effective updates to maintenance methods and improving maintenance quality. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this application or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating an optimized method for equipment maintenance according to an embodiment of this application. Figure 2 This is a schematic diagram of the structure of an equipment maintenance auxiliary system according to an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with specific embodiments and the accompanying drawings.

[0019] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this application should have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0020] With the expansion of industrial production scale and the increase in equipment complexity, the maintenance of pumped storage power stations has become increasingly important to ensure the safe and stable operation of equipment. Maintenance methods also need continuous updating to improve maintenance effectiveness. Currently, there are numerous maintenance methods for similar equipment, and optimizing existing methods is a pressing issue. For example, there are various maintenance methods for turbine unit faults, such as methods for abnormal turbine rotor vibration, turbine impeller imbalance, and turbine sediment blockage. Specific maintenance methods are required for different maintenance categories of similar equipment.

[0021] Furthermore, even within the same category of maintenance methods, there are multiple different operational procedures. Which method to retain requires comprehensive consideration. Related technologies may retain a method based on the effectiveness of the maintenance results, but this method may not be suitable for the equipment at this power station. For example, this power station may have a method for troubleshooting a turbine unit fault, specifically abnormal rotor vibration. The turbine unit's rotor diameter is 3m, and the specific maintenance method involves adjusting the rotor circuit wiring, resulting in a rotor vibration amplitude of less than 0.6. However, related technologies also have a method for troubleshooting a turbine unit fault, also categorized as abnormal rotor vibration, but with a rotor diameter of 6m. This method involves adjusting the rotor's center of gravity, resulting in a rotor vibration amplitude of less than 0.5. Although the method in the related technology is more effective, the two methods correspond to different equipment models and sizes, making direct comparison impossible. Even if the maintenance methods in the relevant technologies are applied to the equipment of this power station for maintenance, they may not be applicable, may not achieve the desired effect, or may even result in ineffective maintenance. For example, the center of gravity of a small-diameter rotor is usually stable. If the center of gravity is adjusted according to the maintenance methods in the relevant technologies, it may aggravate the vibration.

[0022] Furthermore, in traditional maintenance work, equipment information is not intuitive and inconvenient to query. Maintenance personnel typically use paper-based maintenance work instructions on-site, but the complexity of the maintenance environment and work makes paper materials inconvenient to use, easily soiled or damaged. Additionally, the skill level of maintenance personnel can lead to sloppy and erroneous data recording. Moreover, the varying experience of maintenance personnel means that problems encountered during maintenance cannot be effectively guided or are handled solely based on experience, reducing maintenance quality and even causing danger. During maintenance, it is difficult to efficiently consult drawings or solutions, and effective comparison and analysis with historical data is not possible, making it easy to overlook anomalies. Furthermore, maintenance processes are relatively rigid, technological innovation lags behind, and maintenance speed and quality cannot be optimized.

[0023] The following describes specific embodiments in conjunction with... Figures 1 to 3 The technical solution of this application will be described in detail below.

[0024] Some embodiments of this application provide an optimized method for equipment maintenance, such as... Figure 1 As shown, the method includes the following steps: S1. Receive the first maintenance method of the target device and obtain the second maintenance method that has been stored for the target device.

[0025] The target equipment refers to equipment within a pumped-storage power station requiring maintenance, such as turbine units, speed control systems, or inlet valves. The first maintenance method is a newly received maintenance method for the target equipment, such as a turbine unit fault maintenance method. The optimization method for this equipment maintenance method can be applied to the equipment maintenance auxiliary system. When the equipment maintenance auxiliary system receives the first maintenance method, it retrieves the second maintenance method for the target equipment already stored in the system, providing a basis for determining whether to update the maintenance method.

[0026] S2. In response to the fact that the maintenance categories of the first maintenance method and the second maintenance method are the same, but the maintenance operations are different, the first equipment feature corresponding to the target equipment in the first maintenance method and the second equipment feature corresponding to the target equipment in the second maintenance method are determined.

[0027] Maintenance operation refers to the specific actions performed according to the maintenance method; maintenance category refers to the type of maintenance operation within the maintenance method. For example, for turbine unit fault maintenance methods, the maintenance categories include abnormal rotor vibration, impeller imbalance, and blade wear. When the first and second maintenance methods have the same maintenance category but different maintenance operations, it means that the first maintenance method is a new operation mode but the category remains the same. This avoids situations where the first and second maintenance methods have completely identical operations, leading to ineffective updates and wasted resources. It also avoids situations where the first and second maintenance methods are of different categories, leading to incorrect updates and the omission of specific maintenance methods, thus affecting the maintenance effect.

[0028] After comparing the maintenance categories and maintenance operations of the first and second maintenance methods, the equipment characteristics of the target equipment corresponding to the two maintenance methods are determined. The equipment characteristics refer to the parameter information of the equipment actually applied by the maintenance method, such as equipment brand, equipment model, equipment capacity, equipment service life, equipment industry, equipment operating temperature, equipment operating pressure or equipment operating flow rate, etc.

[0029] S3. In response to the fact that the first equipment feature and the second equipment feature are at least partially the same, the first maintenance result index of the first maintenance method and the second maintenance result index of the second maintenance method are obtained.

[0030] Even if the maintenance category is the same but the maintenance operations are different, as mentioned earlier, there may be situations where the maintenance methods are not applicable or the maintenance effects cannot be compared. This is because the equipment characteristics of the corresponding target equipment are different. Therefore, it is necessary to compare the equipment characteristics corresponding to the two maintenance methods to ensure that the first equipment characteristics and the second equipment characteristics are partially the same or completely identical. This indicates that the first maintenance method can be applied to the target equipment of this power station. In this step, the first maintenance method can also be saved directly, and the second maintenance method can also be saved for maintenance personnel to choose from during actual maintenance. Maintenance personnel can use the appropriate maintenance method to confirm the maintenance results.

[0031] The maintenance result indicators are numerical indicators of the maintenance results obtained using the corresponding maintenance methods. Examples of maintenance result indicators include maintenance time of less than 30 minutes, a 20% reduction in failure rate, and a stability improvement of more than 10%. The first maintenance result indicator can be obtained by applying the first maintenance method to the target equipment of this power plant, or by applying it to the target equipment of other power plants. The second maintenance result indicator is an indicator already stored in the equipment maintenance auxiliary system.

[0032] S4. In response to the data value of the first maintenance result indicator being better than the data value of the second maintenance result indicator, the first maintenance method is stored to replace the second maintenance method.

[0033] The data value of the first maintenance result indicator is better than that of the second maintenance result indicator. For example, if the first maintenance result indicator is a 30% improvement in stability, and the second is a 10% improvement in stability, higher stability indicates a better maintenance effect. Or, for example, if the first maintenance result indicator is a maintenance time of 10 minutes, and the second is a maintenance time of 30 minutes, shorter maintenance time indicates a better maintenance effect. After comparing the indicators, the first maintenance method with the better maintenance effect is stored, replacing the original second maintenance method, and the original second maintenance method is deleted, completing the optimization update.

[0034] By comparing maintenance categories and operations, we can ensure that the new maintenance method belongs to the same category as the old method but with different operations, thus providing a basis for updating the maintenance method. By comparing equipment characteristics, we can ensure that the new maintenance method is applicable to the target equipment corresponding to the old maintenance method, thereby ensuring that the new maintenance method can achieve the corresponding maintenance effect. By comparing maintenance result indicators, we can ensure that the new maintenance method can improve maintenance quality. By repeating the above process, we can continuously optimize the maintenance method and improve maintenance efficiency.

[0035] The optimization method for this equipment maintenance is simple and convenient, and the maintenance method can be updated in a timely and effective manner to improve the quality of maintenance.

[0036] In some embodiments, the first device feature and the second device feature are at least partially identical, including: S301, The feature overlap rate of the first device feature and the second device feature reaches or exceeds the preset overlap rate.

[0037] The number of equipment features can be multiple. The feature overlap rate refers to the percentage of the number of identical equipment features in the first and second equipment features to the total number of equipment features. The preset overlap rate is, for example, 50%, and is not specifically limited. When the feature overlap rate is greater than or equal to the preset overlap rate, it means that the first and second equipment features are relatively close. In this case, the first maintenance method can be applied to the target equipment of this power station to achieve a similar maintenance effect.

[0038] In some embodiments, the first device feature and the second device feature are at least partially identical, including: S302. Set a first weight for each device feature, and determine the first weight sum value of the first weights corresponding to all the first device features and the same device features in the second device features, wherein the first weight sum value is greater than or equal to a first preset value.

[0039] Each equipment feature is assigned a first weight, which represents the degree of influence of that feature on the applicability of the equipment to the target equipment in this application. A larger first weight indicates a greater likelihood of affecting the maintenance effect; for example, the equipment's service life is a feature with a higher weight, while the equipment brand is a feature with a lower weight. The sum of the first weights of all equipment features is 1. Therefore, the sum of the first weights corresponding to all identical first and second equipment features is less than or equal to 1. A preset first value is, for example, 0.6, etc., without specific limitation. When the sum of the first weights is greater than or equal to the preset first value, it indicates that the first and second equipment features are at least partially identical. By setting the first weight, the actual impact on maintenance applicability can be more accurately reflected, thereby ensuring maintenance quality.

[0040] In some embodiments, the first device feature and the second device feature are at least partially identical, including: S303, the equipment model, equipment capacity, and equipment service life in the first equipment feature and the second equipment feature are all the same.

[0041] As mentioned earlier, equipment characteristics have varying impacts on maintenance applicability. Testing revealed that equipment model, capacity, and service life have a significant impact on maintenance suitability. For the first maintenance method, which uses the same equipment model, capacity, and service life as the second maintenance method, the application to the target equipment in this power plant yields better results. However, equipment characteristics such as brand, industry, operating temperature, operating pressure, or flow rate, even if different from the second maintenance method, have a relatively low impact on maintenance effectiveness. From the perspective of overall maintenance quality, these characteristics can be ignored to improve the effectiveness of updating maintenance methods.

[0042] In some embodiments, the data value of the first maintenance result indicator is better than the data value of the second maintenance result indicator, including: S401. Set a second weight for each maintenance result indicator, and determine the second weight sum value of the second weight corresponding to all first maintenance result indicators that are better than the second maintenance result indicators. The second weight sum value is greater than or equal to a second preset value.

[0043] There can be multiple maintenance result indicators. A second weight can be assigned to each indicator, representing its importance to the maintenance effect. A larger second weight indicates greater importance to the maintenance effect. For example, failure rate is a maintenance result indicator with a larger weight, while maintenance time is a relatively smaller weight. The sum of the second weights of all maintenance result indicators is 1. Therefore, the sum of the second weights corresponding to the first maintenance result indicator being better than the second maintenance result indicator is less than or equal to 1. A preset second weight value, such as 0.4, is not specifically limited. When the sum of the second weights is greater than or equal to the preset second weight value, it indicates better overall maintenance quality.

[0044] It is understood that before using the technical solutions of the various embodiments in this disclosure, users will be informed of the type, scope of use, and usage scenarios of the personal information involved in an appropriate manner, and user authorization will be obtained.

[0045] For example, upon receiving a user's active request, a prompt message is sent to the user to explicitly inform them that the requested operation will require the acquisition and use of the user's personal information. This allows the user to independently choose, based on the prompt message, whether to provide personal information to the software or hardware such as electronic devices, applications, servers, or storage media performing the operations of this disclosed technical solution.

[0046] As an optional but not limited implementation, in response to a user's active request, sending a prompt message to the user can be done via a pop-up window, where the prompt message can be presented in text format. Furthermore, the pop-up window can also include a selection control allowing the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0047] It is understood that the above notification and user authorization process are merely illustrative and do not constitute a limitation on the implementation of this disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of this disclosure.

[0048] In some embodiments of this application, an auxiliary system for equipment maintenance is provided, such as... Figure 2As shown, the device includes: a database configured to store a second maintenance method; a maintenance terminal located near the target device, communicatively connected to the database, configured to receive a first maintenance method for the target device, and acquire a second maintenance method already stored for the target device; in response to the first maintenance method and the second maintenance method having the same maintenance category but different maintenance operations, determining a first device feature corresponding to the target device in the first maintenance method and a second device feature corresponding to the target device in the second maintenance method; in response to the first device feature and the second device feature being at least partially identical, acquiring a first maintenance result index for the first maintenance method and a second maintenance result index for the second maintenance method; and in response to the data value of the first maintenance result index being better than the data value of the second maintenance result index, storing the first maintenance method to replace the second maintenance method.

[0049] A database server can be deployed within the power plant. The database is used to store maintenance data, including the second maintenance method and the second maintenance result indicators. It is stored in the form of text, flowcharts, etc. It supports artificial intelligence training models and can realize data collection, data storage, data preprocessing, and data security management.

[0050] The maintenance terminal is installed at the maintenance site. It may include a fixed control panel for direct data input or retrieval via a screen, or a mobile control panel similar to a tablet. It may also include a processor, memory, screen, battery, camera, communication module, interfaces, and an external keyboard. The maintenance terminal can collect maintenance data and implement various maintenance auxiliary functions, transmitting data via wired or wireless means, and is equipped with an artificial intelligence model assistant. The maintenance terminal may include a process optimization module for executing optimized methods of the aforementioned equipment maintenance procedures.

[0051] In some embodiments, the database includes a data collection module, a data storage module, a data preprocessing module, and a data security management module; the data collection module is configured to collect maintenance data; the data preprocessing module is configured to clean and label the maintenance data; the data security management module is configured to encrypt the maintenance data and set access permissions; and the data storage module is configured to store the maintenance data.

[0052] The data collection module is primarily used to collect maintenance data, and the data source can be selected based on the confidentiality requirements. For high confidentiality, internal documents (archived reports, instructions, etc.) can be selected as the data source; for lower confidentiality, publicly available online text can be added to increase the database's comprehensiveness and diversity. It can also be connected to the station's monitoring system to collect real-time status data from IoT devices within the station.

[0053] The data storage module is mainly used to store maintenance data. It can use a relational database for storage and is equipped with a server to provide storage hardware.

[0054] The data preprocessing module is primarily used to process the collected maintenance data, and it has two functions: data cleaning and data labeling. Data cleaning removes duplicate, erroneous, or incomplete data to ensure accuracy. Data labeling allows you to categorize the raw maintenance data by assigning labels, such as classifying image data or tagging sentence data with part-of-speech tags. Data labeling can be achieved using multimodal models or pre-trained large models, such as the MoE large language model.

[0055] The data security management module is primarily used to protect data. It can encrypt data and set access permissions to prevent data leakage, and can also periodically update the data in the database as needed to ensure the timeliness and accuracy of the data.

[0056] In some embodiments, the maintenance terminal includes a data query module, a report module, an illustration module, an abnormal data feedback module, a report generation module, a safety briefing module, and an acceptance module. The data query module is configured to query the maintenance data in the database. The report module is configured to generate a maintenance report based on the target equipment and the maintenance data. The illustration module is configured to display the maintenance description of the target equipment. The abnormal data feedback module is configured to issue an alarm message in response to the value of the maintenance data exceeding a preset value range. The report generation module is configured to generate a report after the maintenance of the target equipment is completed. The safety briefing module is configured to display the maintenance risk information of the target equipment. The acceptance module is configured to set at least one level of acceptance node, and issue a prompt message in response to the acceptance node failing to confirm acceptance within a preset time.

[0057] The data query module is mainly used to query maintenance data. The database stores relevant information about the maintenance equipment, such as model, drawings, and historical maintenance data, which can be queried and displayed on the terminal according to personnel needs.

[0058] The reporting module is mainly used to generate maintenance reports. It can generate data charts that need to be measured or recorded for the current maintenance based on the chart format templates in the database. During the maintenance process, the data can be filled in manually or by voice input. At the same time, it can collect equipment information, such as time, size, pressure, etc., for storage or subsequent analysis.

[0059] The illustration module is mainly used to display maintenance instructions. It can display marked drawings or images with text on the terminal screen to guide maintenance personnel on how to operate or to explain the equipment being maintained. It can also display the maintenance process so that maintenance personnel understand the maintenance steps and display the tools and equipment required for maintenance.

[0060] The abnormal data feedback module is mainly used to issue alarm information when the value of maintenance data exceeds the preset value range. For example, the maintenance data is "rotor amplitude", the preset value range is ±0.7, and the alarm information is "rotor amplitude is too large", so as to remind maintenance personnel and ensure maintenance quality.

[0061] The report generation module is mainly used to generate reports. By pre-setting various required report templates, the required report can be generated and archived with one click after the maintenance is completed, saving manpower and resources.

[0062] The safety briefing module is mainly used to display maintenance risk information. It can set relevant risk point analysis and pre-control measures for the current maintenance task. Before starting work, maintenance personnel must learn and sign to confirm on the terminal. It also needs to collect personnel images for personnel information comparison to ensure that the safety briefing is in place.

[0063] The acceptance module is primarily used for personnel acceptance. It can set at least one level of acceptance nodes. When an acceptance node fails to complete acceptance confirmation within a preset time, a prompt message is issued. For example, if the preset time is 30 minutes, the prompt message might be "Perform xx acceptance promptly." There can be various acceptance nodes, such as W nodes (witness nodes) and H nodes (stop-work pending inspection nodes). Different acceptance personnel can be assigned to different nodes. The prompt message promptly notifies each level of acceptance personnel to be on duty, sign off on the acceptance, and collect personnel images for comparison. If the acceptance is not performed by the designated person, an alarm will be triggered.

[0064] In some embodiments, the maintenance terminal is equipped with an artificial intelligence model assistant, which is configured to acquire problem information, parse and determine tags, retrieve maintenance data based on the tags, and generate solution information.

[0065] Artificial intelligence (AI) model assistants, such as the MoE Large Language Model Assistant, possess excellent retrieval, question-and-answer, parsing, and understanding capabilities. They are primarily used to acquire and parse question information to determine tags, retrieve maintenance data from the database based on these tags, and generate answer information. For example, a question might be "How to perform turbine fault repair," the parsed tag might be "turbine fault," the retrieved maintenance data might be turbine fault repair methods, and the generated answer might be "Prepare wrenches, jacks, etc., the first step is to disassemble the turbine casing components for cleaning...". AI model assistants can guide maintenance personnel through the maintenance process. For instance, when maintenance personnel encounter problems, they can use voice Q&A to query or record data, or ask questions when it's inconvenient for them to operate the screen. Simultaneously, during the AI ​​model assistant's operation, newly generated data, such as user question records and corresponding answers, can be stored in the database via the terminal for subsequent training and analysis.

[0066] Maintenance personnel can utilize various auxiliary functions of the maintenance terminal during maintenance. Before commencing maintenance work, the supervisor conducts a safety briefing for staff based on the automatically generated safety risk point analysis on the terminal. After confirmation, staff sign off on the information on the terminal. During maintenance, the terminal displays various information based on the current maintenance task, such as required tools, maintenance processes, and equipment information. Maintenance personnel can prepare tools and begin work accordingly. When encountering problems, they can also use the terminal to query relevant drawings, diagrams, and solutions, or activate the AI ​​model assistant to complete questions and answers through dialogue. Simultaneously, data or images measured during the maintenance process are input into the terminal via voice, manual input, or interface import. The system will judge the data's normality in real time. If an anomaly is detected, an alarm will be triggered to alert maintenance personnel, who will then inspect and address the anomaly. The abnormal data can also be retained if necessary. When an acceptance node is encountered during maintenance, the terminal will display the acceptance personnel and acceptance items. Multiple personnel can be assigned to each acceptance level, but only one person needs to complete the acceptance. For a W node, the user can select "Accept Later" to proceed to the next step. For an H node, the interface will be locked until the corresponding acceptance personnel complete the personnel comparison and signature confirmation before proceeding to the next step. After the maintenance work is completed, a production report can be generated and saved on the terminal with a single click, as needed. Simultaneously, the maintenance methods will be continuously optimized for maintenance personnel to choose from, and the database will be enriched throughout the process.

[0067] This equipment maintenance assistance system can efficiently query equipment information and related historical data; reduce paper usage, saving energy and reducing emissions; clearly record maintenance data, simplify operation, and reduce the requirements for users; reflect data anomalies in real time, improving maintenance quality and reducing risks; provide guidance diagrams for more intuitive maintenance, or use artificial intelligence model assistants for more convenient maintenance; and dynamically optimize maintenance methods to improve maintenance efficiency and quality.

[0068] The apparatus described above is used to implement the optimized method of the corresponding equipment maintenance method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0069] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement an optimized method of the device maintenance method described in any of the above embodiments.

[0070] Figure 3 This embodiment illustrates a more specific hardware structure of an electronic device, which may include a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. The processor 1010, memory 1020, input / output interface 1030, and communication interface 1040 are interconnected internally via the bus 1050.

[0071] The processor 1010 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0072] The memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1020 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1020 and is called and executed by the processor 1010.

[0073] The input / output interface 1030 is used to connect input / output modules to realize information input and output. The input / output modules can be configured as components within the device (not shown in the figure) or externally connected to the device to provide corresponding functions. The input devices can include keyboards, mice, touchscreens, microphones, various sensors, etc., and the output devices can include displays, speakers, vibrators, indicator lights, etc.

[0074] The communication interface 1040 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (e.g., USB, Ethernet cable, etc.) or wireless means (e.g., mobile network, WIFI, Bluetooth, etc.).

[0075] Bus 1050 includes a pathway for transmitting information between various components of the device, such as processor 1010, memory 1020, input / output interface 1030, and communication interface 1040.

[0076] It should be noted that although the above-described device only shows the processor 1010, memory 1020, input / output interface 1030, communication interface 1040, and bus 1050, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0077] The electronic devices described above are used to implement the optimized methods of the corresponding equipment maintenance methods in any of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0078] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this application also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute an optimized method of the equipment maintenance method as described in any of the above embodiments.

[0079] The non-transitory computer-readable medium of this embodiment includes both permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0080] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to execute the optimized method of the equipment maintenance method as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0081] Based on the same concept, corresponding to the methods of any of the above embodiments, this application also provides a computer program product, including computer program instructions, which, when run on a computer, cause the computer to execute an optimized method of the equipment maintenance method as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0082] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of this application (including the claims) is limited to these examples; within the framework of this application, the technical features of the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations of different aspects of the embodiments of this application as described above, which are not provided in the details for the sake of brevity.

[0083] Furthermore, to simplify the description and discussion, and to avoid obscuring the embodiments of this application, the apparatus may be shown in block diagram form. This is to prevent the embodiments of this application from being difficult to understand, and it also takes into account the fact that the details of the implementation of these block diagram apparatuses are highly dependent on the platform on which the embodiments of this application will be implemented (i.e., these details should be fully within the understanding of those skilled in the art). In setting forth specific details to describe exemplary embodiments of this application, it will be apparent to those skilled in the art that the embodiments of this application may be implemented without these specific details or with variations thereof. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0084] Although this application has been described in conjunction with specific embodiments thereof, many substitutions, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description.

[0085] The embodiments of this application are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the embodiments of this application should be included within the protection scope of this application.

Claims

1. An optimized method for equipment maintenance, characterized in that, include: Receive a first maintenance method for the target device, and obtain a second maintenance method that has been stored for the target device; In response to the fact that the first maintenance method and the second maintenance method have the same maintenance category but different maintenance operations, a first equipment feature corresponding to the target equipment in the first maintenance method and a second equipment feature corresponding to the target equipment in the second maintenance method are determined. In response to the fact that the first equipment feature and the second equipment feature are at least partially the same, a first maintenance result index of the first maintenance method and a second maintenance result index of the second maintenance method are obtained. If the data value of the first maintenance result indicator is better than the data value of the second maintenance result indicator, then the first maintenance method is stored to replace the second maintenance method.

2. The optimized method of equipment maintenance according to claim 1, characterized in that, The equipment characteristics of the target equipment include equipment brand, equipment model, equipment capacity, equipment service life, equipment industry, equipment operating temperature, equipment operating pressure, or equipment operating flow rate; the first equipment characteristic and the second equipment characteristic are at least partially the same, including: The feature overlap rate between the first device feature and the second device feature reaches or exceeds a preset overlap rate; Alternatively, the device model, device capacity, and device service life in the first device feature and the second device feature are all the same.

3. An equipment maintenance auxiliary system, characterized in that, include: The database is configured to store the second maintenance method; The maintenance terminal is located close to the target device, communicates with the database, and is configured to receive a first maintenance method for the target device and obtain a second maintenance method that has been stored for the target device. In response to the fact that the first maintenance method and the second maintenance method have the same maintenance category but different maintenance operations, a first equipment feature corresponding to the target equipment in the first maintenance method and a second equipment feature corresponding to the target equipment in the second maintenance method are determined. In response to the fact that the first equipment feature and the second equipment feature are at least partially the same, a first maintenance result index of the first maintenance method and a second maintenance result index of the second maintenance method are obtained; in response to the fact that the data value of the first maintenance result index is better than the data value of the second maintenance result index, the first maintenance method is stored to replace the second maintenance method.

4. The equipment maintenance auxiliary system according to claim 3, characterized in that, The database includes a data collection module, a data storage module, a data preprocessing module, and a data security management module; the data collection module is configured to collect maintenance data; the data preprocessing module is configured to clean and label the maintenance data. The data security management module is configured to encrypt the maintenance data and set access permissions; the data storage module is configured to store the maintenance data.

5. The equipment maintenance auxiliary system according to claim 4, characterized in that, The cleaning process includes removing duplicate, erroneous, or incomplete data, and the labeling process includes classifying the maintenance data by assigning labels using a multimodal model or a pre-trained large model.

6. The equipment maintenance auxiliary system according to claim 3, characterized in that, The maintenance terminal includes a data query module, a report module, a graphical explanation module, an abnormal data feedback module, a report generation module, a safety briefing module, and an acceptance module. The data query module is configured to query the maintenance data in the database. The report module is configured to generate a maintenance report based on the target equipment and the maintenance data. The graphical explanation module is configured to display the maintenance instructions for the target equipment. The abnormal data feedback module is configured to issue an alarm message if the value of the maintenance data exceeds a preset range. The report generation module is configured to generate a report after the maintenance of the target equipment is completed. The safety briefing module is configured to display maintenance risk information of the target equipment; The acceptance module is configured to set at least one level of acceptance nodes, and to issue a prompt message if the acceptance node fails to perform acceptance confirmation within a preset time.

7. The equipment maintenance auxiliary system according to claim 6, characterized in that, The maintenance terminal is equipped with an artificial intelligence model assistant, which is configured to acquire problem information, analyze and determine tags, retrieve maintenance data based on the tags, and generate solution information.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement an optimized method of the equipment maintenance method as described in claim 1 or 2.

9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions for causing the computer to perform an optimized method of the equipment maintenance method as described in claim 1 or 2.

10. A computer program product comprising computer program instructions, characterized in that, When the computer program instructions are executed on the computer, the computer performs an optimized method of the equipment maintenance method as described in claim 1 or 2.

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