Equipment full life cycle management system and method, storage medium and equipment

Abstract

The invention provides an equipment full life cycle management system and method, a storage medium and equipment. The system comprises an equipment full-life-cycle management module which is configured to be used for overall management of equipment information in a life cycle; the equipment monitoring module is configured to be used for monitoring the equipment state according to the equipment real-time data and triggering an alarm based on a preset early warning condition; the equipment detection module is configured to be used for detecting and maintaining equipment based on a preset period; the fault management module is configured to receive and respond to the fault report from the equipment monitoring module; and the health management module is configured to perform preventive maintenance and health assessment on the equipment and predict potential fault risks. According to the equipment full-life-cycle management system, the reliability and the management efficiency of the equipment are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of instrument and equipment, and particularly relates to a device full-life cycle management system, method, storage medium, and device. Background Art

[0002] With the rapid development of railway transportation, as an important transportation infrastructure, the safety, reliability, and efficiency of the railway system have been increasingly emphasized. The operation and maintenance of the electrical and signal equipment in the railway system, as a key component to ensure the normal operation of the railway, cover multiple fields such as communication, signal, and power. Its management level and maintenance efficiency are directly related to the overall performance and operation safety of the railway system.

[0003] In recent years, with the rapid progress of information technology, especially the wide application of technologies such as big data, cloud computing, and the Internet of Things, opportunities have been brought to the management of the electrical and signal equipment in the railway system. By integrating advanced technologies to achieve real-time monitoring, intelligent analysis, and efficient management of device data has become an important means to improve the overall performance of the railway system, reduce operation risks, and improve maintenance efficiency.

[0004] However, in the current field of managing the electrical and signal equipment in the railway system, although some management systems and methods have been widely applied, there are still many deficiencies, including:

[0005] System dispersion: Each communication and signal subsystem is often independently constructed, lacking a unified management platform and data standard, resulting in risks in data sharing and interface security, and affecting the overall performance and stability of the system;

[0006] Inconsistent data standards: Due to the different data models of each subsystem and inconsistent data standards, it is difficult to ensure data consistency, increasing the difficulty and complexity of data processing;

[0007] Lack of full-life cycle management: Existing management methods often only focus on the current state of the device, lacking effective management of the full life cycle of the device, resulting in a lack of scientific basis for the device maintenance plan and increasing the operation risks of the railway system;

[0008] Insufficient application of big data analysis: Although the railway system generates a large amount of operation data, the existing level of big data analysis application is limited, lacking systematic analysis, resulting in the data not being fully utilized and unable to provide strong support for device management;

[0009] Limitations in device status judgment: Existing device status judgment methods can often only achieve simple judgments of normal or abnormal, unable to accurately predict the remaining life of the device, resulting in a lack of accuracy in the maintenance plan, affecting maintenance efficiency and the service life of the device. Summary of the Invention

[0010] In view of the deficiencies of the prior art, the present invention provides a device full - life - cycle management system, method, storage medium, and device. An integrated management system is constructed through the device full - life - cycle management module, device monitoring module, device detection module, fault management module, and health management module, comprehensively covering every key link from device procurement, installation, commissioning, operation, maintenance to scrapping. It can realize real - time monitoring, intelligent analysis, and efficient management of device data, improve the overall performance of the railway system, reduce operation risks, and improve maintenance efficiency.

[0011] The present invention is implemented through the following technical solutions:

[0012] The device full - life - cycle management module is configured to overall manage device information within the life cycle;

[0013] The device monitoring module is configured to monitor the device status according to real - time device data and trigger an alarm based on preset warning conditions;

[0014] The device detection module is configured to detect and maintain the device based on a preset period;

[0015] The fault management module is configured to receive and respond to fault reports from the device monitoring module;

[0016] The health management module is configured to perform preventive maintenance and health assessment on the device, and predict potential fault risks.

[0017] Optionally,

[0018] The overall management of device information within the device life cycle includes:

[0019] Establishing a basic device information file; tracking device installation information; recording device status monitoring information, device detection, and maintenance information; updating device scrapping records.

[0020] Optionally,

[0021] The device monitoring module is further configured to:

[0022] Analyze the device status according to real - time device data and monitor the device status;

[0023] Set warning conditions based on indicators within the normal range of the device. If the device status meets the warning conditions, trigger an alarm.

[0024] Optionally,

[0025] The device monitoring module is further configured to:

[0026] Perform hierarchical classification processing according to preset rules, determine the alarm level, locate the corresponding device position, and generate a fault report to be sent to the fault management module.

[0027] Optionally,

[0028] The device detection module is further configured to:

[0029] Regularly detect and maintain the device according to a preset time period;

[0030] Establish a prediction model based on big data analysis and artificial intelligence algorithms for predictive maintenance.

[0031] Optionally,

[0032] The fault management module includes: a fault analysis unit and a comprehensive maintenance unit,

[0033] The fault analysis unit is configured to:

[0034] Obtain fault data and perform preprocessing;

[0035] Classify the preprocessed fault data to identify fault patterns;

[0036] Based on historical fault data, establish a fault feature library and diagnose faults in combination with the fault patterns.

[0037] Optionally,

[0038] The system further includes:

[0039] A database module, configured to store the collected real-time device data and provide data sharing for the device full life cycle management module, device monitoring module, device detection module, fault management module, and health management module.

[0040] The present invention also provides a device full life cycle management method for implementing the foregoing method, and the system includes:

[0041] Overall manage the device information within the life cycle through the device full life cycle management module;

[0042] Monitor the device status according to the device real-time data through the device monitoring module and trigger an alarm based on preset warning conditions;

[0043] Detect and maintain the device based on a preset period through the device detection module;

[0044] Receive and respond to the fault report from the device monitoring module through the fault management module;

[0045] Perform preventive maintenance and health assessment on the device through the health management module to predict potential fault risks.

[0046] Optionally,

[0047] The device information within the overall management of the device life cycle includes:

[0048] Establish a basic device information file; track device installation information; record device status monitoring information, device detection and maintenance information; update device scrapping records.

[0049] Optionally,

[0050] The method of monitoring the device status according to the real-time data of the device by the device monitoring module and triggering an alarm based on preset warning conditions includes:

[0051] Analyze the device status based on the real-time data of the device and monitor the device status;

[0052] Set warning conditions based on the indicators within the normal range of the device. If the device status meets the warning conditions, trigger an alarm.

[0053] Optionally,

[0054] The method further includes:

[0055] Perform hierarchical classification processing according to preset rules, determine the alarm level, locate the corresponding device location, and generate a fault report to be sent to the fault management module.

[0056] Optionally,

[0057] The method further includes:

[0058] Store the collected real-time data of the device through the database module and provide data sharing for the device full life cycle management module, device monitoring module, device detection module, fault management module, and health management module.

[0059] The present invention also provides a computer-readable storage medium storing one or more programs, which can implement the aforementioned device full life cycle management method when the one or more programs are executed.

[0060] The present invention also provides a device, including a processor, a communication interface, a computer-readable storage medium, and a communication bus; wherein, the processor, the communication interface, and the computer-readable storage medium communicate with each other through the communication bus;

[0061] The processor is used to execute the program stored in the computer-readable storage medium.

[0062] Compared with the prior art, the present invention has the following advantages:

[0063] 1. The equipment full - life - cycle management system proposed by the present invention constructs an integrated management system through the equipment full - life - cycle management module, equipment monitoring module, equipment detection module, fault management module, and health management module, comprehensively covering the entire life cycle from equipment planning, procurement, installation and commissioning, operation and maintenance, fault handling, upgrade and transformation to scrapping and disposal. Through a systematic management process, it ensures that the equipment can be scientifically and efficiently managed at each stage, improving the reliability and management efficiency of the equipment.

[0064] 2. By integrating sensor technology and data - analysis algorithms, it realizes continuous assessment of the equipment health status, timely discovers potential faults, and predicts equipment maintenance requirements, thereby improving the reliability of the equipment.

[0065] 3. Based on the real - time operation data of the equipment, a maintenance plan is formulated, and the maintenance strategy is adjusted according to historical data and the current equipment status, reducing unnecessary maintenance work while ensuring that key components are maintained in a timely manner, thereby extending the service life of the equipment and reducing maintenance costs.

[0066] Other features and advantages of the present invention will be described in the subsequent specification, and part of them will become obvious from the specification or be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures pointed out in the specification, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following will briefly introduce the drawings required for describing the embodiments or the prior art. Obviously, the following - described drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0068] Figure 1 Shows a schematic block diagram of the structure of the equipment full - life - cycle management system;

[0069] Figure 2 Shows a schematic flow chart of the equipment full - life - cycle management method;

[0070] Figure 3 Shows a schematic diagram of the full - life - cycle management solution for railway signal equipment in the embodiments of the present invention;

[0071] Figure 4 Shows a schematic flow chart of the full - life - cycle management of signal equipment in the embodiments of the present invention;

[0072] Figure 5 Is a schematic diagram of the structure of a device in the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0073] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0074] See the attached Figure 1 , the equipment full-life cycle management system of the present invention includes:

[0075] An equipment full-life cycle management module, configured to overall manage the equipment information during the life cycle;

[0076] Among them, the overall management of the equipment information during the equipment life cycle includes: establishing an equipment basic information file; tracking the equipment installation information; recording the equipment status monitoring information, equipment inspection and maintenance information; updating the equipment scrapping record;

[0077] An equipment monitoring module, configured to monitor the equipment status according to the equipment real-time data and trigger an alarm based on a preset warning condition;

[0078] Among them, analyze the equipment status according to the equipment real-time data to monitor the equipment status; set the warning condition based on the indicators within the normal range of the equipment. If the equipment status meets the warning condition, trigger an alarm;

[0079] Among them, perform hierarchical classification processing according to a preset rule, determine the alarm level, locate the corresponding equipment position, and generate a fault report and send it to the fault management module;

[0080] An equipment inspection module, configured to inspect and maintain the equipment based on a preset period;

[0081] Among them, perform regular inspection and maintenance on the equipment according to a preset time period; establish a prediction model based on big data analysis and artificial intelligence algorithms for predictive maintenance;

[0082] A fault management module, configured to receive and respond to the fault report from the equipment monitoring module;

[0083] Among them, the fault management module includes: a fault analysis unit and a comprehensive maintenance unit. The fault analysis unit is configured to: obtain the fault data and perform preprocessing; classify the preprocessed fault data to identify the fault mode; establish a fault feature library based on the historical fault data, and diagnose the fault in combination with the fault mode;

[0084] The health management module is configured to perform preventive maintenance and health assessment on the device, and predict potential failure risks.

[0085] Among them, the system further includes:

[0086] The database module is configured to store the collected real-time device data and provide data sharing for the device full-life cycle management module, device monitoring module, device detection module, fault management module, and health management module.

[0087] Specifically,

[0088] 1. The device full-life cycle management module.

[0089] The device full-life cycle management module is configured to overall manage the device information within the life cycle. By overall managing the entire life cycle of the device through the device full-life cycle management module, from the procurement to the scrapping of the device, it realizes a comprehensive upgrade of device management and completely abandons the traditional manual form maintenance method.

[0090] In this embodiment, the overall management of the device information within the device life cycle includes:

[0091] Establishing a basic device information file; tracking device installation information; recording device status monitoring, device detection, and maintenance information; updating device scrapping records.

[0092] In this embodiment, the device full-life cycle management module obtains device information data, including but not limited to device basic information, device installation information, device status monitoring information, device detection, and maintenance information. Through the device full-life cycle management module, the device information can be updated in real time and accurately managed.

[0093] The device full-life cycle management module is also configured to: provide a one-stop, cross-platform management view for managers through a visual large screen and a mobile application, so as to comprehensively master the device status and achieve efficient collaboration and decision support.

[0094] 2. The device monitoring module.

[0095] The device monitoring module is configured to monitor the device status according to the device real-time data and trigger an alarm based on preset warning conditions.

[0096] In this embodiment, the device monitoring module is also configured to:

[0097] Perform device status analysis based on the device real-time data and monitor the device status;

[0098] Set warning conditions based on the indicators within the normal range of the device. If the device status meets the warning conditions, an alarm is triggered.

[0099] Through the device monitoring module, the status of key devices in the railway logistics system can be monitored in real time. Based on the real-time data analysis of the devices, the device status is analyzed. Once an abnormal situation is detected, an alarm is immediately triggered, and the real-time status of the devices is visually displayed to facilitate quickly locating the position of the problematic device.

[0100] Based on the real-time data analysis of the devices, the device status is analyzed, including: using advanced data analysis algorithms, such as machine learning models and predictive maintenance algorithms, to analyze the device status. In this implementation, a learning model based on historical data can be established to identify the differences between normal operation modes and abnormal behavior modes. Once an indicator deviating from the normal range is detected, the system will automatically trigger the early warning mechanism.

[0101] When any potential risk or actual failure is monitored, the current alarm data is analyzed, classified and processed according to preset rules to determine the alarm level (for example: prompt, warning, emergency), and the geographical location where the problem occurs is accurately located in combination with the Geographic Information System (GIS). At the same time, based on the operating status of other associated devices or systems, the scope of influence of the event can be comprehensively understood to provide support for a quick response.

[0102] Through the device monitoring module, performance indicators such as the working efficiency, energy consumption, and utilization rate of all devices can also be continuously tracked. Through the long-term accumulated data set, trend changes in the operation mode can be discovered, which helps managers optimize resource allocation and improve the overall service level.

[0103] In addition, a visual interface is provided, allowing technicians to intuitively understand the working status of each device in a graphical way, which is convenient for making timely and accurate decisions.

[0104] III. Device detection module.

[0105] The device detection module is configured to detect and maintain the devices based on a preset cycle. By introducing cutting-edge detection technologies and devices, all links of the railway logistics system can be effectively detected, providing a solid prerequisite for subsequent device replacement and repair.

[0106] In this embodiment, the device detection module is further configured to:

[0107] Detect and maintain the devices regularly according to a preset time cycle; and / or,

[0108] Establish a prediction model based on big data analysis and artificial intelligence algorithms for predictive maintenance.

[0109] In this embodiment, predictive maintenance includes: predicting the future operating status of the equipment based on time series analysis, trend prediction models and other technologies, so as to arrange preventive maintenance work. Through the prediction model established based on big data analysis and artificial intelligence algorithms, possible failures can be warned in advance, reducing unplanned downtime.

[0110] 4. Fault management module.

[0111] The fault management module is configured to receive fault reports from the equipment monitoring module and respond quickly to handle the faults. The fault management module provides strong data support for the comprehensive maintenance of the equipment through the analysis of fault data, ensuring that equipment faults can be solved in a timely and effective manner.

[0112] The fault management module includes: a fault analysis unit and a comprehensive maintenance unit.

[0113] The fault analysis unit is configured to:

[0114] Obtain fault data, including but not limited to sensor readings, operation logs, alarm information, etc., clean the raw data, remove noise and redundant information to ensure the accuracy of subsequent analysis;

[0115] Use machine learning algorithms or rule-based methods to classify fault data and identify different fault modes. By learning from historical fault data, a fault feature library is established to quickly match and diagnose new faults.

[0116] The fault analysis unit can also generate intuitive charts and reports to help technicians and management understand the fault situation and support the decision-making process. It can also be used to display the trend, frequency and distribution of faults, making it easy to track and compare changes in different time periods.

[0117] The integrated maintenance unit provides logistical support for the railway logistics system based on the analysis results of the fault analysis unit, ensuring the smooth progress of maintenance work through perfect planning management, maintenance management and maintenance guidance processes.

[0118] 5. Health management module.

[0119] The health management module is configured to assess the health status of equipment and systems and predict potential failure risks, thereby ensuring that they are always in optimal operating condition, further improving overall operational efficiency and safety.

[0120] In this embodiment, the health status of the device and system is evaluated through the health management module, including:

[0121] Obtain real-time data from equipment and perform preprocessing;

[0122] Perform data analysis based on the preprocessed real-time data of the device;

[0123] Based on the data analysis results, combined with a preset comprehensive scoring mechanism, score the health status of the device and the system.

[0124] In this embodiment, obtaining the real-time data of the device and performing preprocessing includes: obtaining the real-time data of the device; using data cleaning and normalization to eliminate noise and outliers, ensuring the quality and consistency of the data, and performing feature selection to identify the variables that have the greatest impact on the device health condition.

[0125] Performing data analysis based on the preprocessed real-time data of the device includes: using supervised learning (such as support vector machine SVM, random forest RF, gradient boosting tree GBDT) or unsupervised learning (such as K-means clustering, Gaussian mixture model GMM) algorithms to construct a prediction model. This prediction model can be trained based on historical failure records and a sample data set under normal operating conditions to accurately identify early signs of failure.

[0126] Based on the data analysis results, combined with a preset comprehensive scoring mechanism, give scores according to the importance of each index of the device and its current state, and form an index that intuitively reflects the overall health of the device.

[0127] In this embodiment, it may further include a database module, which is configured to store the collected real-time data of the device and provide data sharing for the device full life cycle management module, device monitoring module, device detection module, fault management module, and health management module.

[0128] The database module can be used as a data source to store the collected real-time data of the device and the data of each module in the system, provide data support for each module in the system, and achieve data sharing.

[0129] The methods for collecting real-time data include but are not limited to:

[0130] Using Internet of Things technology, equip each key device with intelligent sensors and RFID tags to collect operation data in real time and upload it to the database module through wireless communication technology; an intelligent terminal integrating multiple functions through Internet of Things devices can not only collect local information, but also interact with other devices through networking to achieve remote control and automatic adjustment

[0131] Using an intelligent sensor network, intelligent sensors deployed at each key location can collect physical parameters such as temperature, humidity, pressure, and vibration in real time and transmit the data to the database module through wireless communication technology;

[0132] Utilize fiber optic sensing technology to monitor structural integrity and environmental changes through the propagation characteristics of light waves in optical fibers, which is particularly suitable for monitoring requirements in long-distance and complex environments, such as infrastructure like bridges and tunnels;

[0133] Utilize drone inspections. For critical facilities in hard-to-reach or dangerous areas, use drones equipped with various types of detection instruments for regular inspections to obtain high-resolution image data.

[0134] In this embodiment, a strategy of deeply integrating the cloud computing platform and Internet of Things (IoT) technology can also be adopted to update device information in real time and manage it precisely, including:

[0135] Upload device real-time data, maintenance records, status monitoring information and other data to the cloud server;

[0136] Combined with big data analysis algorithms and machine learning models, deeply mine and analyze the massive data collected. It can not only immediately identify abnormal device states and early warning of potential faults, but also intelligently predict maintenance cycles and spare part requirements based on data such as device usage frequency and maintenance history, realizing refined and intelligent device management, ensuring the real-time, accurate and comprehensive nature of device information, and greatly improving management efficiency and decision-making accuracy.

[0137] In this embodiment, it is also possible to integrate each independently constructed subsystem, break the information silos, and achieve seamless connection of the full life cycle management of the device.

[0138] Each independently constructed subsystem can be integrated through an integrated management system architecture, including:

[0139] Through the microservices architecture and API interface technology, access and integrate third-party device management systems and auxiliary systems as subsystems;

[0140] Through the preset data exchange protocol and middleware technology, transmit and share the data between the device full life cycle management system of this embodiment and each subsystem.

[0141] In this embodiment, by adopting the microservices architecture and API interface technology, it is possible to flexibly access and integrate various device management systems (such as ERP, CRM, CMMS, etc.) from different suppliers and different periods, as well as auxiliary systems such as environmental monitoring and energy consumption management; through the unified data exchange protocol and middleware technology, ensure the data circulation and sharing between each subsystem, and form a closed-loop management of the full life cycle of the device.

[0142] The present invention will be further elaborated in detail below in conjunction with the accompanying drawings and specific embodiments.

[0143] See the attached Figure 2, which shows a device full - life - cycle management method for implementing the above - mentioned method, including:

[0144] Overall management of device information within the life cycle through the device full - life - cycle management module; among them, establishing a basic device information file; tracking device installation information; recording device status monitoring information, device detection and maintenance information; updating device scrapping records;

[0145] Monitoring the device status according to the device real - time data through the device monitoring module, and triggering an alarm based on preset warning conditions; among them, analyzing the device status according to the device real - time data, monitoring the device status; setting warning conditions based on the indicators within the normal range of the device, and if the device status meets the warning conditions, triggering an alarm;

[0146] Detecting and maintaining the device based on a preset cycle through the device detection module; among them, conducting regular detection and maintenance of the device according to the preset time cycle; establishing a prediction model based on big - data analysis and artificial - intelligence algorithms for predictive maintenance;

[0147] Receiving and responding to fault reports from the device monitoring module through the fault management module; among them, obtaining fault data and performing pre - processing; classifying the pre - processed fault data to identify fault modes; establishing a fault feature library based on historical fault data, and diagnosing faults in combination with the fault modes

[0148] Performing preventive maintenance and health assessment on the device through the health management module, and predicting potential fault risks.

[0149] Figure 3 This is a schematic diagram of the full - life - cycle management solution for railway signal equipment in the embodiments of the present invention. Using the device full - life - cycle management system in this embodiment, intelligent operation and maintenance of railway signal equipment can be carried out, specifically including:

[0150] Conducting: signal equipment ledger management, tool management, and material management through the device full - life - cycle management module;

[0151] Conducting: monitoring system management and alarm standard configuration through the device monitoring module;

[0152] Conducting: detection management, patrol inspection management, and 6C management through the device detection module;

[0153] Through the fault management module: through the fault analysis unit, conducting: defect management, fault management, fault diagnosis, case - library management, and standard - library management; and through the comprehensive maintenance unit, conducting: plan management, maintenance management, report management, maintenance guidance, and statistical analysis.

[0154] Conducting: trend prediction, health assessment, and risk prediction through the health management module.

[0155] Figure 4 This is a schematic diagram of the full - life - cycle management process for signal and communication equipment in the embodiments of the present invention. In this embodiment, the specific process includes:

[0156] Equipment creation and procurement: Determine requirements, select models for procurement, and establish equipment files.

[0157] This stage includes the determination of equipment requirements, model selection, signing of procurement contracts, and arrival acceptance of equipment. Through the full - life - cycle management module of the equipment, all the above - related information is coordinated to ensure that the equipment meets technical specifications and operational requirements. At the same time, a basic information file of the equipment is established as the basis for subsequent management.

[0158] Equipment installation and commissioning: Install the equipment, perform commissioning, and verify performance.

[0159] After the equipment arrives at the site, determine the installation location, perform the installation work, and commission the equipment to ensure that the equipment can be correctly installed and reach the expected operating state. Through the full - life - cycle management module of the equipment, track the installation progress, record key data during the installation process, and verify whether the performance of the equipment meets expectations.

[0160] Equipment operation and monitoring: Monitor the equipment status in real - time, detect abnormalities and give alarms.

[0161] After the equipment is officially put into use, the equipment is monitored in real - time through the equipment monitoring module. By collecting equipment status, alarm data, operation data, etc., detect abnormal situations in a timely manner and trigger alarms. The key to this stage is to ensure the accuracy and real - time nature of the data for a quick response and handling of potential problems.

[0162] Equipment inspection and maintenance: Conduct regular inspections, provide technical support, and maintain the equipment.

[0163] Through the equipment inspection module, provide advanced inspection equipment and technical support to conduct regular inspections and maintenance of the equipment, prevent failures from occurring, and extend the service life of the equipment. At the same time, the full - life - cycle management module of the equipment synchronously updates the detailed information of each inspection and maintenance to provide a basis for subsequent fault analysis and maintenance decision - making.

[0164] Fault handling and health management: Respond quickly to faults, perform preventive maintenance, and evaluate the health status.

[0165] When a fault occurs in the equipment, receive the fault report from the monitoring system through the fault management module and respond quickly for handling. In addition, through the health management module, perform preventive maintenance and health assessment, evaluate the health status of the equipment and the system, predict potential fault risks, ensure that the equipment is always in the best operating state, and improve the overall operational efficiency and safety.

[0166] Equipment Scrap and Disposal: Scrap the equipment, handle it in compliance, and update the records.

[0167] When the equipment reaches the scrap standard or can no longer meet the operation requirements, the equipment is scrapped, and the scrap records are updated through the equipment full - life cycle management module, including the disassembly, recycling, environmental protection treatment of the equipment and the update of the scrap records, to ensure the compliant scrapping of the equipment, prevent resource waste and environmental pollution.

[0168] In addition, the embodiment of the present invention also provides an equipment full - life cycle management device, including:

[0169] An equipment full - life cycle management module that overall manages the equipment information within the life cycle; wherein, the overall management of the equipment information within the equipment life cycle includes: establishing an equipment basic information file; tracking the equipment installation information; recording the equipment status monitoring information, equipment detection and maintenance information; updating the equipment scrap records;

[0170] An equipment monitoring module that monitors the equipment status according to the real - time data of the equipment and triggers an alarm based on the preset warning conditions; wherein, the equipment status is analyzed according to the real - time data of the equipment to monitor the equipment status; the warning conditions are set based on the indicators within the normal range of the equipment. If the equipment status meets the warning conditions, an alarm is triggered; wherein, classification and grading processing are performed according to the preset rules to determine the alarm level, locate the corresponding equipment position, and generate a fault report and send it to the fault management module;

[0171] An equipment detection module that detects and maintains the equipment based on a preset cycle; wherein, the equipment is regularly detected and maintained according to the preset time cycle; a prediction model is established based on big data analysis and artificial intelligence algorithms for predictive maintenance;

[0172] A fault management module that receives and responds to the fault report from the equipment monitoring module; wherein, the fault management module includes: a fault analysis unit and a comprehensive maintenance unit. The fault analysis unit is configured to: obtain the fault data and perform pre - processing; classify the pre - processed fault data to identify the fault mode; establish a fault feature library based on the historical fault data, and diagnose the fault in combination with the fault mode;

[0173] A health management module that performs preventive maintenance and health assessment on the equipment and predicts potential fault risks.

[0174] Based on the same inventive concept, the present invention also provides a computer - readable storage medium storing one or more programs, which when executed, can implement the aforementioned equipment full - life cycle management method.

[0175] As Figure 5As shown in the figure, an embodiment of the present invention further provides a device, including a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory communicate with each other through the communication bus.

[0176] The memory is a computer-readable storage medium for storing one or more programs.

[0177] The processor is configured to execute the programs stored in the computer-readable storage medium.

[0178] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments; or it may exist separately without being assembled into the device / apparatus.

[0179] Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An equipment full life cycle management system, characterized in that Including: An equipment full - life - cycle management module, configured to overall manage equipment information within the life cycle; An equipment monitoring module, configured to monitor the equipment status according to real - time equipment data and trigger an alarm based on preset warning conditions; An equipment detection module, configured to detect and maintain the equipment based on a preset cycle; A fault management module, configured to receive and respond to fault reports from the equipment monitoring module; A health management module, configured to perform preventive maintenance and health assessment on the equipment and predict potential fault risks.

2. The system according to claim 1, wherein The overall management of equipment information within the equipment life cycle includes: Establishing an equipment basic information file; tracking equipment installation information; recording equipment status monitoring information, equipment detection and maintenance information; updating equipment scrapping records.

3. The system according to claim 1, wherein The equipment monitoring module is further configured to: Analyze the equipment status according to real - time equipment data and monitor the equipment status; Set warning conditions based on indicators within the normal range of the equipment. If the equipment status meets the warning conditions, trigger an alarm.

4. The system according to claim 3, wherein The equipment monitoring module is further configured to: Perform hierarchical and classification processing according to preset rules, determine the alarm level, locate the corresponding equipment position, and generate a fault report to be sent to the fault management module.

5. The system according to claim 1, wherein The equipment detection module is further configured to: Regularly detect and maintain the equipment according to a preset time cycle; Establish a prediction model based on big data analysis and artificial intelligence algorithms for predictive maintenance.

6. The system according to claim 1, characterized in that, The fault management module includes a fault analysis unit and a comprehensive maintenance unit. The fault analysis unit is configured to: Obtain fault data and perform pre - processing; Classify the pre - processed fault data to identify fault modes; Based on historical fault data, establish a fault feature library and diagnose faults in combination with the fault modes.

7. The system according to any one of claims 1-6, characterized in that, The system further includes: A database module, configured to store the collected real - time equipment data and enable data sharing among the equipment full - life - cycle management module, equipment monitoring module, equipment detection module, fault management module, and health management module.

8. A device full life cycle management method, characterized in that, The method includes: Overall manage equipment information within the life cycle through the equipment full - life - cycle management module; Monitor the equipment status according to real - time equipment data through the equipment monitoring module and trigger an alarm based on preset warning conditions; Detect and maintain the equipment based on a preset cycle through the equipment detection module; Receive and respond to fault reports from the equipment monitoring module through the fault management module; Perform preventive maintenance and health assessment on the equipment and predict potential fault risks through the health management module.

9. The method according to claim 8, characterized in that The overall management of equipment information within the equipment life cycle includes: Establishing an equipment basic information file; tracking equipment installation information; recording equipment status monitoring information, equipment detection and maintenance information; updating equipment scrapping records.

10. The method according to claim 8, wherein The process of monitoring the equipment status according to real - time equipment data through the equipment monitoring module and triggering an alarm based on preset warning conditions includes: Analyze the equipment status according to real - time equipment data and monitor the equipment status; Set warning conditions based on indicators within the normal range of the equipment. If the equipment status meets the warning conditions, trigger an alarm.

11. The method according to claim 10, characterized in that The method further includes: Perform hierarchical classification processing according to preset rules, determine the alarm level, locate the corresponding device position, and generate a fault report to be sent to the fault management module.

12. The method according to any one of claims 8-11, characterized in that, The method further includes: Store the collected real-time device data through the database module, and provide data sharing for the device full life cycle management module, device monitoring module, device detection module, fault management module, and health management module.

13. A computer-readable storage medium storing one or more programs, characterized in that when the one or more programs are executed, the device full life cycle management method according to any one of claims 8-12 can be implemented.

14. An electronic device, comprising a processor, a communication interface, the computer-readable storage medium according to claim 13, and a communication bus; wherein, The electronic communication among the processor, communication interface, and computer-readable storage medium via the communication bus; characterized in that the processor is configured to execute the programs stored in the computer-readable storage medium.

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