Method, device, equipment, medium and program for managing full life cycle of public service equipment

Abstract

The invention relates to a public service equipment full life cycle management method and device, equipment, a storage medium and a computer program, and the method comprises the steps: obtaining equipment data of public service equipment, carrying out the statistical analysis of the equipment data, and obtaining an equipment statistical result of the public service equipment; inputting the equipment statistical result into a pre-constructed expert model to obtain maintenance content of the public work data; performing situation assessment on the public service equipment to obtain an assessment report of the public service equipment; performing fault diagnosis on the public service equipment to obtain a fault diagnosis result of the public service equipment; and generating an equipment maintenance plan of the public service equipment according to an inspection result in the equipment statistical result, the fault diagnosis result and the evaluation report, and performing equipment management on the public service equipment according to the equipment maintenance plan. According to the invention, the efficiency of full-life-cycle management of the public work equipment can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of railway equipment management, and in particular to a method, apparatus, device, storage medium and computer program for full life cycle management of railway equipment. Background Art

[0002] The current railway production maintenance and repair plan task management faces many challenges, resulting in low overall efficiency. On the one hand, maintenance and repair plans are usually based on currently discovered problems, routine tasks in the repair process and repair system, and special tasks formed historically, but lack effective management and utilization of equipment life cycle information, so that plan formulation often relies on experience rather than data-driven, and it is difficult to accurately match the actual needs of the equipment, resulting in waste of resources or insufficient equipment maintenance. On the other hand, the traditional management model relies too much on manual judgment in fault diagnosis and processing, and lacks systematic technical support, which not only increases the time and cost of fault handling, but may also lead to the recurrence of problems, affecting the stable operation and service quality of the railway system.

[0003] In order to improve this situation, it is urgent to introduce the concept and technology of equipment life cycle management. The current management method lacks systematic management of the entire process of equipment from demand, planning, design to final disposal, which makes the information of equipment isolated at each stage and difficult to form a closed-loop management, affecting the accuracy and timeliness of decision-making. At the same time, the lack of support for advanced design and manufacturing technology and information tools, such as parallel design, agile manufacturing, collaborative design and manufacturing, also limits the effectiveness of equipment life cycle management and hinders the efficient execution of railway maintenance and repair plan tasks. Summary of the invention

[0004] The present invention provides a method, apparatus, device, storage medium and computer program for the full life cycle management of civil engineering equipment.

[0005] In a first aspect, the present disclosure provides a method for managing the entire life cycle of a construction equipment, including:

[0006] Acquire equipment data of the engineering equipment, and use a preset data statistical analysis component to perform statistical analysis on the equipment data to obtain equipment statistical results of the engineering equipment;

[0007] Inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data;

[0008] Using a preset equipment situation assessment component, the maintenance content and the equipment data, the situation assessment of the engineering equipment is performed to obtain an assessment report of the engineering equipment;

[0009] Performing fault diagnosis on the maintenance equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment;

[0010] An equipment maintenance plan for the engineering equipment is generated based on the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and equipment management of the engineering equipment is performed based on the equipment maintenance plan.

[0011] In some embodiments, the equipment data includes: basic data, offline equipment data and equipment life cycle management data, and the equipment statistical results include: the number of online equipment, the number of equipment problems, equipment inspection results, equipment repair results and equipment maintenance results.

[0012] In some embodiments, before inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data, the method further includes:

[0013] Generate the planned maintenance rules and status maintenance rules of the maintenance equipment according to the conventional railway line maintenance rules acquired in advance;

[0014] An expert model of the maintenance equipment is constructed according to the planned maintenance rules and the status maintenance rules.

[0015] In some embodiments, the using of a preset equipment situation assessment component, the maintenance content and the equipment data to perform situation assessment on the engineering equipment to obtain an assessment report of the engineering equipment includes:

[0016] Inputting the maintenance content and the equipment data into a preset equipment status assessment component, wherein the maintenance content includes: planned maintenance content and status maintenance content;

[0017] Using the line comprehensive scoring model in the equipment situation assessment component to perform section scoring on the planned maintenance content, to obtain a comprehensive score for the planned maintenance content;

[0018] Generate equipment health evaluation details of the engineering equipment according to the comprehensive score and the status repair content, and generate an evaluation report of the engineering equipment according to the equipment health evaluation details.

[0019] In some embodiments, before using the line comprehensive scoring model in the equipment status assessment component to perform segment scoring on the planned maintenance content to obtain a comprehensive score for the planned maintenance content, the method further includes:

[0020] Generating a unit deduction rule for the engineering equipment according to the pre-acquired production index document;

[0021] Performing unit scoring on the engineering equipment according to the unit scoring rule, and performing section integration on the scoring results of the unit scoring to obtain the section scoring of the engineering equipment;

[0022] A line comprehensive scoring model in the equipment status assessment component is constructed according to the section scoring.

[0023] In some embodiments, the using a preset equipment fault diagnosis component to perform fault diagnosis on the engineering equipment to obtain a fault diagnosis result of the engineering equipment includes:

[0024] Use the preset AI big model to process the IOT return data in the equipment data to obtain the status maintenance suggestions, status maintenance plans and equipment development trends of the engineering equipment;

[0025] The condition maintenance suggestions, the condition maintenance plans and the equipment development trends are collected as the fault diagnosis results of the maintenance equipment.

[0026] In a second aspect, the present disclosure provides a full life cycle management device for engineering equipment, comprising:

[0027] A statistical analysis module is used to obtain equipment data of the engineering equipment, and to perform statistical analysis on the equipment data using a preset data statistical analysis component to obtain equipment statistical results of the engineering equipment;

[0028] A maintenance content analysis module, used for inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data;

[0029] A situation assessment module, used to use a preset equipment situation assessment component, the maintenance content and the equipment data to perform a situation assessment on the engineering equipment to obtain an assessment report on the engineering equipment;

[0030] A fault diagnosis module, used to perform fault diagnosis on the maintenance equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment;

[0031] The equipment maintenance module is used to generate an equipment maintenance plan for the engineering equipment according to the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and to manage the engineering equipment according to the equipment maintenance plan.

[0032] In a third aspect, the present disclosure provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above aspects.

[0033] In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the above aspects when executed by a processor.

[0034] In a fifth aspect, the present disclosure provides a computer program product, including a computer program / instructions, which implements the steps of the method described in the above aspects when the computer program is executed by a processor.

[0035] Compared with the prior art, the above technical solution of the present invention has the following beneficial effects:

[0036] The embodiments of the present invention collect real-time data of engineering equipment and process these data using a data statistical analysis component, so as to more accurately understand the actual operating status of the equipment. The results of the statistical analysis are input into a pre-built expert model, and maintenance suggestions based on professional knowledge can be automatically obtained, reducing the uncertainty of manual judgment. The equipment status assessment component combines the maintenance content and equipment data for a comprehensive assessment to generate an assessment report, which helps to understand the overall health status of the equipment from multiple perspectives and discover potential problems in a timely manner. The equipment fault diagnosis component is used to automatically identify possible faults, so that the problem can be quickly located, the time for troubleshooting can be reduced, and unnecessary downtime can be avoided. Finally, based on all the above information (equipment statistical results, fault diagnosis results, and assessment reports), a maintenance plan is formulated for the specific situation of each device, making the maintenance work more targeted and efficient. Therefore, the engineering equipment full life cycle management method, device, equipment and medium proposed in the present invention can solve the problem of low efficiency in the full life cycle management of engineering equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0038] Figure 1 A workflow diagram of a method for managing the entire life cycle of civil engineering equipment according to Embodiment 1 of the present invention is shown;

[0039] Figure 2 A functional module diagram of a device for managing the entire life cycle of construction equipment according to a second embodiment of the present invention is shown;

[0040] Figure 3 A schematic diagram of the composition structure of an electronic device for implementing the method for managing the entire life cycle of engineering equipment according to the third embodiment of the present invention is shown. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, and to fully understand and implement how the present disclosure applies technical means to solve technical problems and achieve the corresponding technical effects, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only embodiments of a part of the present disclosure, not all of the embodiments. The embodiments of the present disclosure and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the scope of protection of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present disclosure.

[0042] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0043] Embodiment 1

[0044] Figure 1 The following is a flow chart of a method for managing the entire life cycle of a construction equipment provided by an embodiment of the present disclosure. Figure 1 As shown, a smart device control method includes:

[0045] S1. Acquire equipment data of the engineering equipment, and use a preset data statistical analysis component to perform statistical analysis on the equipment data to obtain equipment statistical results of the engineering equipment.

[0046] In an embodiment of the present invention, the equipment data includes: basic data, offline equipment data and equipment life cycle management data, and the equipment statistical results include: the number of online equipment, the number of equipment problems, equipment inspection results, equipment repair results and equipment maintenance results.

[0047] In detail, the basic data includes: general data, equipment attributes, equipment types and attribute items, wherein the general data includes: line data, line data, station data and line data.

[0048] In detail, the offline equipment data includes: rail data, turnout data, and sleeper data, wherein the rail data includes: rail main line data and rail battle line data, and the sleeper data includes: sleeper main line data and sleeper battle line data.

[0049] In detail, the equipment life cycle management data includes: equipment digital files, problem library and equipment history.

[0050] Furthermore, the digital archive of the equipment includes: data of facilities on each main line, such as: tracks, bridges, culverts, tunnels and channels, wherein the tracks include: rails, switches, ballasts, slopes, joints and ancillary equipment; the bridges include: beams, piers, supports and ancillary facilities; the tunnels include: basic information of segment units, segment unit tunnel bottom structure, portal and back slope, segment unit arch wall lining, segment unit drainage and ancillary facilities; the culverts include: beams, piers, supports and ancillary facilities; data of facilities on each front, such as: rails, switches, ballasts, curves, slopes, joints and welds.

[0051] Furthermore, the question bank is obtained based on feedback from work results, manual reporting, and IOT data, wherein IOT data refers to data collected by applying Internet of Things (IoT) technology in rail transit.

[0052] Furthermore, the equipment history includes: equipment events, wherein the equipment history equipment display level and equipment digital archives, equipment events include: inspection, repair and maintenance, and maintenance includes: centralized repair and fault repair.

[0053] S2. Input the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data.

[0054] In an embodiment of the present invention, before inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data, the method further includes:

[0055] Generate the planned maintenance rules and status maintenance rules of the maintenance equipment according to the conventional railway line maintenance rules acquired in advance;

[0056] An expert model of the maintenance equipment is constructed according to the planned maintenance rules and the status maintenance rules.

[0057] In detail, generating the planned maintenance rules and condition maintenance rules of the maintenance equipment according to the pre-acquired conventional railway line maintenance rules involves extracting specific rules from standard documents such as the "Conventional Railway Line Repair Rules" to guide the maintenance work of the equipment, and these rules will form planned maintenance rules and condition maintenance rules.

[0058] In detail, the expert model is a rule-based system that includes equipment type, problem definition, repair cycle, processing method, etc. The model can recommend appropriate repair or maintenance task plans based on the actual status of the equipment and the problem situation.

[0059] S3. Use a preset equipment status assessment component, the maintenance content and the equipment data to conduct a status assessment on the engineering equipment to obtain an assessment report on the engineering equipment.

[0060] In an embodiment of the present invention, the use of a preset equipment situation assessment component, the maintenance content and the equipment data to assess the situation of the engineering equipment to obtain an assessment report of the engineering equipment includes:

[0061] Inputting the maintenance content and the equipment data into a preset equipment status assessment component, wherein the maintenance content includes: planned maintenance content and status maintenance content;

[0062] Using the line comprehensive scoring model in the equipment situation assessment component to perform section scoring on the planned maintenance content, to obtain a comprehensive score for the planned maintenance content;

[0063] Generate equipment health evaluation details of the engineering equipment according to the comprehensive score and the status repair content, and generate an evaluation report of the engineering equipment according to the equipment health evaluation details.

[0064] In detail, the input data preparation includes planned maintenance content and status maintenance content, among which planned maintenance refers to regularly performed preventive maintenance activities, such as regular inspection, maintenance, replacement of wearing parts, etc. Status maintenance content refers to the repair measures taken when the equipment fails or is abnormal, that is, fault repair.

[0065] In detail, equipment data usually includes basic information of the equipment, historical maintenance records, fault records, etc.

[0066] Furthermore, inputting the maintenance content and equipment data into a preset equipment status assessment component means that all maintenance content and equipment data are input into a preset software or system, which includes various algorithms and models for evaluating the equipment status.

[0067] In detail, the line comprehensive scoring model is used to perform section scoring on the planned maintenance content, wherein the line comprehensive scoring model is an algorithm based on a series of evaluation criteria, which constructs unit deduction rules according to the line comprehensive, geometric parameters and other contents in the production indicator document.

[0068] Furthermore, the unit deduction rule defines different deduction values ​​for different types of equipment problems in order to quantify the severity of the equipment problems; the section score refers to integrating the scores of each equipment unit according to the section they are in to form an overall score.

[0069] In detail, the comprehensive score means that the final segment score reflects the overall status of all equipment in the segment.

[0070] In detail, generating equipment health assessment details based on comprehensive scores and status maintenance contents means combining comprehensive scores and status maintenance contents to generate a detailed equipment health report, which includes the current status of the equipment, existing problems, recommended maintenance actions, etc., wherein status maintenance contents refer to fault repairs and other unplanned maintenance activities.

[0071] In detail, an assessment report is generated based on the equipment health assessment details, wherein the assessment report is a summary document generated based on the content of the equipment health assessment details, which usually includes: an overall condition assessment of the equipment, major problems found and their severity, recommended maintenance measures and improvement plans, and a schedule and priority ranking of the maintenance plan.

[0072] In detail, before the line comprehensive scoring model in the equipment status assessment component is used to score the planned maintenance content by section to obtain the comprehensive score of the planned maintenance content, the method further includes:

[0073] Generating a unit deduction rule for the engineering equipment according to the pre-acquired production index document;

[0074] Performing unit scoring on the engineering equipment according to the unit scoring rule, and performing section integration on the scoring results of the unit scoring to obtain the section scoring of the engineering equipment;

[0075] A line comprehensive scoring model in the equipment status assessment component is constructed according to the section scoring.

[0076] In detail, the production index document contains requirements on equipment maintenance, operating efficiency, safety standards, etc. It includes the technical indicators that the equipment should achieve, the allowable degree of wear and tear, the maximum operating load, etc.

[0077] In detail, the unit penalty rules are based on these technical indicators and define a set of penalty standards for different components of the equipment (i.e. "units"). For example, if the straightness deviation of the track exceeds the specified range, points may be deducted. These penalty rules are based on practical experience and engineering specifications.

[0078] In detail, unit scoring is to check each component of the equipment and compare their actual conditions with the unit deduction rules to calculate the score of each unit. For example, check the straightness of the track, the wear degree of the turnout, the response time of the signal system, etc.

[0079] In detail, the grading result means that each unit will receive a score that reflects the degree of deviation of the unit from the standard.

[0080] Specifically, the score results of all units in the same section are weighted averaged or summarized according to a certain rule to obtain the overall score of the section. For example, several consecutive station sections on a railway are regarded as one section.

[0081] In detail, segment scoring means that each segment will receive a comprehensive score, which reflects the overall health of the equipment in the segment.

[0082] S4. Perform fault diagnosis on the maintenance equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment.

[0083] In the embodiment of the present invention, the method of performing fault diagnosis on the maintenance equipment by using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment includes:

[0084] Use the preset AI big model to process the IOT return data in the equipment data to obtain the status maintenance suggestions, status maintenance plans and equipment development trends of the engineering equipment;

[0085] The condition maintenance suggestions, the condition maintenance plans and the equipment development trends are collected as the fault diagnosis results of the maintenance equipment.

[0086] In detail, the device status monitoring data returned by IOT usually refers to the data collected by sensors installed on the equipment, such as temperature, vibration, current and other indicators. The dynamic detection data comes from regular or irregular equipment detection processes, such as the performance test results of the equipment. Equipment archive data: including equipment history, maintenance records, technical specifications and other information.

[0087] In detail, an AI big model refers to a large, pre-trained artificial intelligence model that has the ability to handle complex tasks, such as pattern recognition and predictive analysis. This model usually uses deep learning technology and is trained on a large amount of data to achieve a high accuracy rate.

[0088] In detail, the condition-based maintenance recommendation is a maintenance suggestion based on the current equipment status, such as replacing parts, adjusting parameters, etc. The condition-based maintenance plan is a more specific maintenance plan, including the specific location that needs maintenance and the recommended maintenance method. The equipment development trend is to predict the future performance change trend of the equipment through data analysis, as well as the time point when failure may occur.

[0089] S5. Generate an equipment maintenance plan for the engineering equipment according to the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and perform equipment management on the engineering equipment according to the equipment maintenance plan.

[0090] In an embodiment of the present invention, the equipment maintenance plan for the engineering equipment is generated based on the inspection results in the equipment statistical results, the fault diagnosis results and the assessment report, including: interpreting the data obtained from the on-site inspection, identifying any potential problems, considering the fault prediction information provided by the equipment health prediction component, using the output of the equipment situation assessment component to understand the overall condition of the equipment, and based on the above information, formulating a specific maintenance plan, including necessary maintenance actions, schedules and priority rankings.

[0091] For example: an equipment maintenance plan includes: task items, task descriptions, recommended execution time, work locations and problem numbers, where the task items refer to specific maintenance work items, the task descriptions refer to detailed descriptions of each work, the recommended execution time refers to the best time recommended to complete this work, the work location refers to the specific location that requires maintenance, and the problem number refers to a unique identifier used to track each problem or fault.

[0092] In an embodiment of the present invention, the equipment management of the engineering equipment according to the equipment maintenance plan includes: execution of the maintenance plan, that is, assigning the tasks in the maintenance plan to the corresponding maintenance team or individual, ensuring that all necessary tools, materials and manpower are in place to perform the maintenance work, determining the execution order and time window of each task, and ensuring that the task is carried out as planned; field operation management, that is, quality supervision when performing maintenance tasks, ensuring that all work meets established standards, ensuring that all field operations follow safety regulations, reducing accident risks, monitoring the progress of maintenance work, and adjusting the plan in time to deal with delays or other problems; maintenance records and document updates, that is, recording the specific details of each maintenance, including the execution date, measures taken, parts used, etc., adding maintenance records to equipment files to form a complete equipment history record, tracking unresolved problems or recurring problems until the problems are completely resolved; performance evaluation and improvement, that is, regularly evaluating the effectiveness of maintenance activities, checking whether the expected goals have been achieved, and feeding back maintenance results to the equipment health prediction component for continuous improvement of the prediction model, and continuously optimizing maintenance plans and execution processes based on the actual effects of maintenance activities.

[0093] Embodiment 2

[0094] like Figure 2 As shown, this embodiment also provides a functional module diagram of a full life cycle management device for engineering equipment.

[0095] The apparatus 100 for managing the whole life cycle of engineering equipment described in this embodiment can be installed in an electronic device. According to the functions to be implemented, the apparatus 100 for managing the whole life cycle of engineering equipment can include a statistical analysis module 101, a maintenance content analysis module 102, a situation assessment module 103, a fault diagnosis module 104 and an equipment maintenance module 105. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, which are stored in the memory of the electronic device.

[0096] In this embodiment, the functions of each module / unit are as follows:

[0097] The statistical analysis module 101 is used to obtain equipment data of the engineering equipment, and perform statistical analysis on the equipment data using a preset data statistical analysis component to obtain equipment statistical results of the engineering equipment;

[0098] The maintenance content analysis module 102 is used to input the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data;

[0099] The situation assessment module 103 is used to use the preset equipment situation assessment component, the maintenance content and the equipment data to perform situation assessment on the engineering equipment to obtain an assessment report of the engineering equipment;

[0100] The fault diagnosis module 104 is used to perform fault diagnosis on the engineering equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the engineering equipment;

[0101] The equipment maintenance module 105 is used to generate an equipment maintenance plan for the engineering equipment according to the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and to manage the engineering equipment according to the equipment maintenance plan.

[0102] In detail, each module described in the apparatus 100 for managing the entire life cycle of engineering equipment described in the embodiment of the present invention adopts the same technical means as the method for managing the entire life cycle of engineering equipment described in Embodiment 1 and Embodiment 2 when used, and can produce the same technical effects, which will not be repeated here.

[0103] Embodiment 3

[0104] like Figure 3 As shown, this embodiment also provides a computer electronic device, which may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a full life cycle management program for engineering equipment.

[0105] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, executing the full life cycle management program for engineering equipment, etc.), and calls the data stored in the memory 11 to execute various functions of the electronic device and process data.

[0106] The memory 11 includes at least one type of medium, including flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 can also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 11 can also include both an internal storage unit of the electronic device and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device, such as the code of the full life cycle management program of the engineering equipment, but also can be used to temporarily store data that has been output or is to be output.

[0107] The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0108] The communication interface 13 is used for communication between the above-mentioned electronic device and other electronic devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0109] The figure only shows an electronic device with components. Those skilled in the art will understand that the structure shown in the figure does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0110] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0111] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0112] The engineering equipment life cycle management program stored in the memory 11 in the electronic device is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0113] Acquire equipment data of the engineering equipment, and use a preset data statistical analysis component to perform statistical analysis on the equipment data to obtain equipment statistical results of the engineering equipment;

[0114] Inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data;

[0115] Using a preset equipment situation assessment component, the maintenance content and the equipment data, the situation assessment of the engineering equipment is performed to obtain an assessment report of the engineering equipment;

[0116] Performing fault diagnosis on the maintenance equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment;

[0117] An equipment maintenance plan for the engineering equipment is generated based on the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and equipment management of the engineering equipment is performed based on the equipment maintenance plan.

[0118] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0119] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a medium. The medium can be volatile or non-volatile. For example, the medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0120] Embodiment 4

[0121] This embodiment provides a medium storing a computer program, which, when executed by a processor, implements the steps of the method for managing the entire life cycle of civil engineering equipment as described above.

[0122] These program codes can also be loaded onto a computer or other programmable data processing device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions executed on the computer or other programmable device for implementing the process. Figure 1 The steps of a specified function in a process or multiple processes.

[0123] The medium includes permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, modules of programs or other data. Examples of media can 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 technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0124] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. When the terms "include" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or their combinations.

[0125] It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or described herein.

[0126] In the several embodiments provided by the present invention, it should be understood that the disclosed electronic device, apparatus and method can be implemented in other ways. For example, the apparatus embodiment described above is only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0127] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0128] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0129] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0130] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for managing the entire life cycle of engineering equipment, characterized in that: include: Acquire equipment data of the engineering equipment, and use a preset data statistical analysis component to perform statistical analysis on the equipment data to obtain equipment statistical results of the engineering equipment; Inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data; Using a preset equipment situation assessment component, the maintenance content and the equipment data, the situation assessment of the engineering equipment is performed to obtain an assessment report of the engineering equipment; Performing fault diagnosis on the maintenance equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment; An equipment maintenance plan for the engineering equipment is generated based on the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and equipment management of the engineering equipment is performed based on the equipment maintenance plan.

2. The method according to claim 1, characterized in that The equipment data includes: basic data, offline equipment data and equipment life cycle management data, and the equipment statistical results include: the number of online equipment, the number of equipment problems, equipment inspection results, equipment repair results and equipment maintenance results.

3. The method according to claim 2, characterized in that Before inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data, the method further includes: Generate the planned maintenance rules and status maintenance rules of the maintenance equipment according to the conventional railway line maintenance rules acquired in advance; An expert model of the maintenance equipment is constructed according to the planned maintenance rules and the status maintenance rules.

4. The method according to claim 1, characterized in that: The method of using the preset equipment situation assessment component, the maintenance content and the equipment data to assess the situation of the engineering equipment to obtain an assessment report of the engineering equipment includes: Inputting the maintenance content and the equipment data into a preset equipment status assessment component, wherein the maintenance content includes: planned maintenance content and status maintenance content; Using the line comprehensive scoring model in the equipment situation assessment component to perform section scoring on the planned maintenance content, to obtain a comprehensive score for the planned maintenance content; Generate equipment health evaluation details of the engineering equipment according to the comprehensive score and the status repair content, and generate an evaluation report of the engineering equipment according to the equipment health evaluation details.

5. The method according to claim 4, characterized in that Before performing section scoring on the planned maintenance content by using the line comprehensive scoring model in the equipment status assessment component to obtain the comprehensive score of the planned maintenance content, the method further includes: Generating a unit deduction rule for the engineering equipment according to the pre-acquired production index document; Performing unit scoring on the engineering equipment according to the unit scoring rule, and performing section integration on the scoring results of the unit scoring to obtain the section scoring of the engineering equipment; A line comprehensive scoring model in the equipment status assessment component is constructed according to the section scoring.

6. The method according to claim 1, characterized in that The method of performing fault diagnosis on the maintenance equipment by using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment includes: Use the preset AI big model to process the IOT return data in the equipment data to obtain the status maintenance suggestions, status maintenance plans and equipment development trends of the engineering equipment; The condition maintenance suggestions, the condition maintenance plans and the equipment development trends are collected as the fault diagnosis results of the maintenance equipment.

7. A full life cycle management device for engineering equipment, characterized in that: include: A statistical analysis module is used to obtain equipment data of the engineering equipment, and to perform statistical analysis on the equipment data using a preset data statistical analysis component to obtain equipment statistical results of the engineering equipment; A maintenance content analysis module, used for inputting the equipment statistical results into a pre-built expert model to obtain the maintenance content of the engineering data; A situation assessment module, used to use a preset equipment situation assessment component, the maintenance content and the equipment data to perform a situation assessment on the engineering equipment to obtain an assessment report on the engineering equipment; A fault diagnosis module, used to perform fault diagnosis on the maintenance equipment using a preset equipment fault diagnosis component to obtain a fault diagnosis result of the maintenance equipment; The equipment maintenance module is used to generate an equipment maintenance plan for the engineering equipment according to the inspection results in the equipment statistics, the fault diagnosis results and the evaluation report, and to manage the engineering equipment according to the equipment maintenance plan.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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