Equipment maintenance management system and method
Through the equipment maintenance management system, data visualization and machine learning technology are integrated, the problems of inconvenience and inefficiency in equipment maintenance management caused by manual records and paper documents are solved, and the intelligent and efficient management of equipment maintenance is achieved.
Patent Information
- Application Number
- CN202510688637.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-27
- Publication Date
- 2025-08-29
AI Technical Summary
In the prior art, equipment maintenance management relies on manual records and paper documents, resulting in loss of information, long-term search of historical records, inefficient efficiency, and ineffective management of the operating status of the equipment.
It provides an equipment maintenance management system, including equipment information management, work order management, maintenance record and historical data management, component inventory and procurement management, cost control and analysis, data report and analysis, equipment failure prediction and optimization modules, and uses data visualization and machine learning technology to generate data reports and fault prediction information.
It realizes the intelligence and automation of equipment maintenance management, improves management efficiency, reduces manual errors, ensures the accuracy and transparency of information, optimizes the maintenance process, and reduces costs.
Smart Images
Figure CN120563103A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of equipment management, and in particular to an equipment maintenance management system and method. Background Art
[0002] As industrialization continues to accelerate, equipment is becoming increasingly important in the production process. The proper functioning of equipment is directly linked to the continuity of the production process and the stability of production capacity. Equipment failure or performance degradation due to untimely maintenance can lead to production stagnation, significantly reducing production capacity and negatively impacting the company's economic performance. Therefore, effectively managing equipment maintenance and ensuring it remains in optimal operating condition has become a critical issue that needs to be addressed in all production operations.
[0003] Currently, companies generally rely on manual record-keeping and paper documents for equipment maintenance management. Specifically, when equipment malfunctions and requires repair, maintenance personnel use paper documents to record the equipment failure information, repair process, and repair results. Furthermore, equipment maintenance arrangements and maintenance personnel scheduling also rely heavily on manual coordination and record-keeping.
[0004] However, with the continuous expansion of production scale and the increasing variety of equipment, the use of manual record-keeping and paper documents has presented numerous problems. First, manual record-keeping and paper documents are prone to information loss due to poor management, environmental factors, and other factors. Once critical information is lost, subsequent equipment repair tracing and fault analysis will be greatly complicated. Second, paper documents are extremely inconvenient to manage. Searching for historical maintenance records for a specific piece of equipment requires a significant amount of time and manpower, resulting in low efficiency. Summary of the Invention
[0005] The present application provides an equipment maintenance management system and method to solve the technical problem that equipment maintenance management is currently managed by manual records and paper documents, which makes equipment maintenance management extremely inconvenient and inefficient.
[0006] The first aspect of the present application provides an equipment maintenance management system, comprising:
[0007] Equipment information management module, work order management module, maintenance record and historical data management module, parts inventory and procurement management module, cost control and analysis module, data reporting and analysis module, equipment failure prediction and optimization module;
[0008] The device information management module is configured to record and manage device information; the device information includes: device model, device status, device location, and device installation date;
[0009] The work order management module is configured to obtain a device maintenance request and generate a maintenance work order according to the device maintenance request;
[0010] The maintenance record and historical data management module is configured to record historical maintenance data of the equipment;
[0011] The parts inventory and procurement management module is configured to record the inventory of parts;
[0012] The cost control and analysis module is configured to record maintenance costs; the maintenance costs include: parts costs, labor costs, external service costs, and transportation costs;
[0013] The data reporting and analysis module is configured to generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports;
[0014] The equipment failure prediction and optimization module is configured to generate equipment failure prediction information and maintenance plans based on the equipment's historical maintenance data and operation data using machine learning and data mining techniques.
[0015] In some embodiments, the maintenance work order includes: equipment repair handover form, maintenance plan confirmation form, equipment maintenance test report, equipment repair and maintenance site confirmation form, inverter maintenance service site confirmation form, handling labor information, and vehicle information; the work order management module is further configured to:
[0016] Acquire maintenance information based on the maintenance work order; the maintenance information includes: the type of equipment to be repaired, the type of fault, and the workload status of the maintenance personnel;
[0017] A maintenance personnel is determined based on the maintenance information, and the maintenance work order is assigned to the maintenance personnel.
[0018] In some embodiments, the work order management module is further configured to:
[0019] Obtain the real-time status of the maintenance work order; the real-time status includes: created, in progress, completed and closed.
[0020] In some embodiments, the maintenance record and historical data management module is further configured to:
[0021] Record equipment maintenance data; the equipment maintenance data includes: equipment failure cause, maintenance content, parts used, and maintenance personnel information;
[0022] Determine equipment failure information and generate maintenance plans based on historical equipment maintenance data;
[0023] Capture and record images of the equipment disassembly and repair process.
[0024] In some embodiments, the system further comprises:
[0025] A preventive maintenance management module, wherein the preventive maintenance management module is configured to:
[0026] If the equipment is on the maintenance-pending date, a preventive maintenance plan is generated based on the equipment's usage frequency and the equipment manufacturer's maintenance recommendations. The preventive maintenance plan includes: parts to be inspected, parts to be replaced, and parts to be lubricated.
[0027] The preventive maintenance plan is sent to a setting device; the setting device is an electronic device capable of receiving electronic information.
[0028] In some embodiments, the parts inventory and procurement management module is further configured to:
[0029] If the inventory of the component is less than the set inventory threshold, a purchase information is generated and sent to the setting device; the purchase information includes: the name of the component and the minimum purchase quantity; the minimum purchase quantity is the difference between the set inventory threshold and the inventory of the component;
[0030] Record parts supplier information; the parts supplier information includes: parts price, delivery cycle, and quality parameters.
[0031] In some embodiments, the cost control and analysis module is further configured to:
[0032] Obtain information about equipment to be repaired;
[0033] Generate a maintenance budget plan based on the equipment information to be repaired and the historical maintenance data; the maintenance budget plan includes: parts costs, labor costs, external service costs, and transportation costs;
[0034] After the equipment to be repaired is repaired, a settlement statement is generated based on the repair cost of the equipment to be repaired; the settlement statement is configured to display the repair cost items and details;
[0035] Generate an invoicing record based on the settlement statement; the invoicing record includes: invoicing date, amount, and invoice number information.
[0036] In some embodiments, the data reporting and analysis module is further configured to:
[0037] Based on the historical maintenance data, using data visualization technology, a maintenance status report is generated; the maintenance status report is configured to display the maintenance frequency, maintenance cost, and equipment downtime of the equipment;
[0038] Determining the type and cause of equipment failure based on the historical maintenance data;
[0039] Generate an optimization plan based on the fault type and cause;
[0040] Based on the optimization scheme, a failure mode analysis report is generated using data visualization technology;
[0041] Determine the health status of the equipment based on its historical maintenance and operation data;
[0042] Generate a maintenance suggestion plan based on the health status; the maintenance suggestion plan includes: whether the equipment or parts in the equipment need to be replaced or repaired;
[0043] Based on the maintenance suggestion plan, an equipment health assessment report is generated using data visualization technology.
[0044] In some embodiments, the equipment failure prediction and optimization module is further configured to:
[0045] Based on the equipment's historical maintenance and operation data, machine learning and data mining techniques are used to predict the equipment's failure type and occurrence time.
[0046] Obtaining fault prediction information based on the fault type and occurrence time;
[0047] A maintenance plan is generated based on the fault prediction information; the maintenance plan includes: maintenance personnel and information on parts to be used.
[0048] A second aspect of the present application provides an equipment maintenance management method, which is applied to an equipment maintenance management system described in any one of the first aspects above, comprising:
[0049] Record and manage device information; the device information includes: device model, device status, device location, and device installation date;
[0050] Obtaining a device maintenance request, and generating a maintenance work order based on the device maintenance request;
[0051] Record historical maintenance data of equipment;
[0052] Record the inventory of parts;
[0053] Record maintenance costs; maintenance costs include: parts costs, labor costs, external service costs, and transportation costs;
[0054] Generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports;
[0055] Based on the historical maintenance data and operation data of the equipment, machine learning and data mining technologies are used to generate equipment failure prediction information and maintenance plans.
[0056] The present application provides an equipment maintenance management system and method, the system comprising: an equipment information management module, a work order management module, a maintenance record and historical data management module, a parts inventory and procurement management module, a cost control and analysis module, a data report and analysis module, and an equipment failure prediction and optimization module; the equipment information management module is configured to record and manage equipment information; the equipment information includes: equipment model, equipment status, equipment location, and equipment installation date; the work order management module is configured to obtain equipment maintenance requests and generate maintenance work orders based on the equipment maintenance requests; the maintenance record and historical data management module is configured to record historical maintenance data of the equipment; the parts inventory and procurement management module is configured to record the parts Inventory; the cost control and analysis module is configured to record maintenance costs; the maintenance costs include: parts costs, labor costs, external service costs, and transportation costs; the data reporting and analysis module is configured to generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports; the equipment failure prediction and optimization module is configured to generate equipment failure prediction information and maintenance plans based on the equipment's historical maintenance data and operating data using machine learning and data mining technology, so as to solve the problem that equipment maintenance is currently managed by manual records and paper documents, resulting in extremely inconvenient and inefficient equipment maintenance management. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0058] Figure 1 This is a schematic diagram of the structure of the equipment maintenance management system in this application;
[0059] Figure 2 This is a flowchart of the equipment maintenance management system in this application during operation.
[0060] Description of reference numerals:
[0061] 1- Equipment information management module; 2- Work order management module; 3- Maintenance record and historical data management module; 4- Parts inventory and procurement management module; 5- Cost control and analysis module; 6- Data reporting and analysis module; 7- Equipment failure prediction and optimization module; 8- Preventive maintenance management module. DETAILED DESCRIPTION
[0062] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.
[0063] Because in some technologies, equipment maintenance is managed by manual records and paper documents, which makes equipment maintenance management extremely inconvenient and inefficient, in order to solve this technical problem, this application provides an equipment maintenance management system and method, which are described below:
[0064] like Figure 1 The figure shows the structure diagram of the equipment maintenance management system in this application.
[0065] The first aspect of the present application provides an equipment maintenance management system, comprising:
[0066] Equipment information management module 1, work order management module 2, maintenance record and historical data management module 3, parts inventory and procurement management module 4, cost control and analysis module 5, data report and analysis module 6, equipment failure prediction and optimization module 7.
[0067] The device information management module 1 is configured to record and manage device information; the device information includes but is not limited to: device model, device status, device location, device installation date and other information; the device information management module 1 is used to register and maintain device information; classify and manage devices according to dimensions such as device type and device status; provide device life cycle management, and track the entire process of equipment from procurement to scrapping.
[0068] The work order management module 2 is configured to obtain equipment maintenance requests and generate maintenance work orders based on the equipment maintenance requests; the maintenance work orders include: equipment repair handover form, maintenance plan confirmation form, equipment maintenance test report, equipment repair and maintenance site confirmation form, inverter maintenance service site confirmation form, handling labor information, and vehicle information.
[0069] The work order management module 2 is further configured to:
[0070] Based on the maintenance work order, maintenance information is obtained; the maintenance information includes: the type of equipment to be repaired, the type of fault and the workload status of the maintenance personnel; based on the maintenance information, the maintenance personnel are determined, and the maintenance work order is assigned to the maintenance personnel.
[0071] The work order management module 2 is further configured to:
[0072] Obtain the real-time status of the maintenance work order; the real-time status includes: created, in progress, completed and closed.
[0073] Exemplarily, the functions of the work order management module 2 include:
[0074] Automatic creation of work orders: including equipment repair handover form, maintenance plan confirmation form, equipment repair test report, equipment repair / maintenance site confirmation form, inverter maintenance service site confirmation form, handling labor and vehicle usage information (application form, visa record).
[0075] Equipment Repair Handover Form: This form is the first step in equipment maintenance management. It includes basic equipment information, a description of the fault, the repair order number, and the signatures and seals of both the sender and the repairer. A complete paper copy and photo should be uploaded to ensure the accuracy and transparency of the handover process. The system electronically archives the form, ensuring the legitimacy of the signatures, seals, and photos to prevent tampering.
[0076] Maintenance plan confirmation form: The maintenance plan must be jointly confirmed by the maintenance personnel and the relevant responsible parties, and the signed and stamped maintenance plan confirmation form must be uploaded through the electronic system.
[0077] Equipment Repair Test Report: Upon completion of equipment repair, the system automatically generates a report that includes the equipment test results, repair status, the repairer's signature, and any related approvals. A paper copy of the report must be signed and stamped, and a clear photo must be uploaded to ensure repair quality compliance.
[0078] Equipment Repair / Maintenance Site Confirmation: Upon completion of repair or maintenance, the system generates a Repair / Maintenance Site Confirmation and requires the on-site personnel to sign and stamp the form. The confirmation form is uploaded to the system and an electronic record is generated.
[0079] Inverter Maintenance Service Site Confirmation Form: For equipment requiring preventive system maintenance, such as inverters, the system provides a dedicated maintenance service site confirmation form to record the maintenance process and results. This confirmation form also requires the signature and seal of the on-site personnel and must be uploaded.
[0080] Transporter and Vehicle Information (Application Form, Visa Record): During equipment transportation, the system records the transporter's information, transport vehicle, and transportation route, and requires the upload of relevant application forms and visa records to ensure standardized and traceable transport processes. All documents must be signed, stamped, and photographed and uploaded to the system. During equipment loading and unloading, the system requires the capture and upload of photos of the loading and unloading process to ensure transparency and equipment integrity.
[0081] Work order allocation and scheduling: Automatically assign maintenance work orders to appropriate maintenance personnel based on equipment category, fault type, and maintenance personnel's workload.
[0082] Work order status tracking: Real-time tracking of the status of maintenance work orders, including creation, processing, completion, and closure, to ensure that maintenance work is completed on time.
[0083] The maintenance record and historical data management module 3 is configured to record the historical maintenance data of the equipment. The maintenance record and historical data management module 3 is used to record the maintenance history of all equipment to facilitate subsequent analysis and optimization of maintenance strategies.
[0084] The maintenance record and historical data management module 3 is further configured to:
[0085] Record equipment maintenance data; the equipment maintenance data includes: the cause of the equipment failure, maintenance content, parts used, and maintenance personnel information; determine the equipment failure information based on the equipment's historical maintenance data and generate a maintenance plan; obtain and record images of the equipment disassembly and maintenance process.
[0086] Specifically, the functions of the maintenance record and historical data management module 3 include:
[0087] Maintenance history record: records the cause of each equipment failure, maintenance content, parts used, maintenance personnel and other information.
[0088] Fault analysis and maintenance plan confirmation: Analyze equipment maintenance history data, identify equipment failure modes, and help optimize equipment maintenance plans.
[0089] Maintenance process records: equipment disassembly, key maintenance process photos. Upload one photo of the overall nameplate (before the equipment is disassembled), take a photo of the overall nameplate of the equipment, record the equipment model, specifications, production information, etc., to ensure that the equipment information is correct. The specific model, board number and clear photo of each module are recorded in detail. Each module after disassembly is recorded in detail, and clear photos of the module are taken and uploaded. Key information such as the board number and model are marked to ensure the accuracy of the maintenance process. One clear photo of each cable interface. When processing the cable interface inside the equipment, it is required to take and upload a clear photo of each cable interface to ensure the traceability of the maintenance operation. Record key operation links during the maintenance process, such as cleaning, replacing boards, soldering circuit boards, functional testing, etc., and take photos of the maintenance process to ensure the transparency of the maintenance process. Related manuals, schematics, circuit diagrams, wiring diagrams During the maintenance process, the system requires uploading of technical documents related to the equipment, such as manuals, schematics, circuit diagrams, wiring diagrams, etc., to ensure that the maintenance operation meets the technical requirements.
[0090] The system further comprises:
[0091] The preventive maintenance management module 8 is configured to:
[0092] If the equipment is on a maintenance-required date, a preventive maintenance plan is generated based on the equipment's usage frequency and the manufacturer's maintenance recommendations. The preventive maintenance plan includes components to be inspected, replaced, and lubricated. The plan is then sent to a configuration device (an electronic device capable of receiving electronic information). The preventive maintenance management module 8 is configured to automatically generate a regular preventive maintenance plan based on the equipment's usage frequency and the manufacturer's maintenance recommendations.
[0093] Specifically, the functions of the preventive maintenance management module 8 include:
[0094] Automatically generate preventive maintenance plans: Based on equipment operation data, the system automatically generates preventive maintenance tasks, such as regular inspections, parts replacement, lubrication, etc.
[0095] Maintenance task reminder: The system will remind relevant personnel to perform preventive maintenance through mobile phones, emails, etc. before the scheduled maintenance date.
[0096] The parts inventory and procurement management module 4 is configured to record the inventory of parts; the parts inventory and procurement management module 4 is used to manage the inventory of parts required for all equipment maintenance, ensuring that maintenance personnel can obtain the required parts in a timely manner.
[0097] The parts inventory and procurement management module 4 is further configured to:
[0098] If the inventory of a component is less than the set inventory threshold, purchase information is generated and sent to the setting device; the purchase information includes: the name of the component and the minimum purchase quantity; the minimum purchase quantity is the difference between the set inventory threshold and the inventory of the component; the component supplier information is recorded; the component supplier information includes: the price, delivery cycle, and quality parameters of the component.
[0099] The functions of the parts inventory and procurement management module 4 include:
[0100] Parts inventory management: Track parts inventory levels and automatically calculate the consumption rate of various parts to ensure sufficient inventory.
[0101] Automatic purchase reminder: When the inventory level falls below the set threshold, the system automatically issues a purchase reminder to help relevant personnel make purchases in a timely manner.
[0102] Supplier management: Record parts supplier information, including price, delivery cycle, quality, etc., to ensure that purchased parts meet quality standards.
[0103] The cost control and analysis module 5 is configured to record maintenance costs; the maintenance costs include: parts costs, labor costs, external service costs, and transportation costs; the cost control and analysis module 5 is used to record the costs of each maintenance, including parts costs, labor costs, external service costs, transportation costs, etc., to provide support for the company's budget management and cost control.
[0104] The cost control and analysis module 5 is further configured to:
[0105] Obtain information about equipment to be repaired; based on the information about the equipment to be repaired and according to the historical maintenance data, generate a maintenance budget plan; the maintenance budget plan includes: parts costs, labor costs, external service costs, and transportation costs; after the equipment to be repaired is repaired, generate a settlement statement based on the maintenance costs of the equipment to be repaired; the settlement statement is configured to display maintenance cost items and details; based on the settlement statement, generate an invoicing record; the invoicing record includes: invoicing date, amount, and invoice number information.
[0106] The functions of the cost control and analysis module 5 include:
[0107] Cost data statistics: Statistics on the cost of each equipment maintenance to help companies analyze the components of maintenance costs.
[0108] Budget preparation: Help enterprises formulate reasonable maintenance budgets based on equipment maintenance history data.
[0109] Cost analysis report: Generate maintenance cost analysis reports regularly to help management understand the overall expenditure on equipment maintenance.
[0110] Settlement Statement: Upon completion of the repair service, the system will generate a settlement statement detailing all expenses and details, and require signatures from all relevant personnel. A paper copy of the settlement statement must be signed and stamped and uploaded to the system for archiving.
[0111] Invoicing records: Based on the settlement statement, the system automatically generates invoicing records, including invoicing date, amount, invoice number and other information, and archives them electronically to ensure the compliance of the settlement process.
[0112] The data reporting and analysis module 6 is configured to generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports; the data reporting and analysis module 6 is configured to generate multi-dimensional data reports through data visualization technology to help enterprise management conduct a comprehensive analysis of the maintenance status of the equipment.
[0113] The data reporting and analysis module 6 is further configured to:
[0114] Based on the historical maintenance data, a maintenance status report is generated using data visualization technology; the maintenance status report is configured to display the maintenance frequency, maintenance cost, and equipment downtime of the equipment; based on the historical maintenance data, the failure type and cause of the equipment are determined; based on the failure type and cause, an optimization plan is generated; based on the optimization plan, a failure mode analysis report is generated using data visualization technology; based on the historical maintenance data and operation data of the equipment, the health status of the equipment is determined; based on the health status, a maintenance recommendation plan is generated; the maintenance recommendation plan includes: whether the equipment or parts in the equipment need to be replaced or repaired; based on the maintenance recommendation plan, an equipment health assessment report is generated using data visualization technology.
[0115] The functions of the data reporting and analysis module 6 include:
[0116] Maintenance status report: displays equipment maintenance frequency, maintenance cost, equipment downtime and other indicators.
[0117] Failure mode analysis: Analyze common equipment failure types and causes based on historical maintenance data and provide optimization suggestions.
[0118] Equipment health assessment: Evaluate the health status of equipment based on its maintenance records and operating data, and provide recommendations on whether it needs to be replaced or repaired in advance.
[0119] The equipment failure prediction and optimization module 7 is configured to generate equipment failure prediction information and maintenance plans based on the equipment's historical maintenance and operating data, using machine learning and data mining techniques. The equipment failure prediction and optimization module 7 uses machine learning, data mining, and other techniques to analyze the equipment's historical and operating data, predict possible failures, and provide maintenance plan optimization recommendations.
[0120] The equipment failure prediction and optimization module 7 is further configured to:
[0121] Based on the equipment's historical maintenance and operation data, machine learning and data mining techniques are used to predict the equipment's fault type and occurrence time. Based on the fault type and occurrence time, fault prediction information is obtained. Based on the fault prediction information, a maintenance plan is generated. The maintenance plan includes: maintenance personnel and information on parts to be used.
[0122] The functions of the equipment failure prediction and optimization module 7 include:
[0123] Fault prediction: Based on equipment operation data and historical maintenance data, data analysis models are used to predict the type and time of possible equipment failures.
[0124] Maintenance resource scheduling: Based on equipment failure prediction, optimize the scheduling of maintenance resources, including maintenance personnel, spare parts, etc., to ensure that maintenance is completed in the shortest time.
[0125] Maintenance plan optimization: Through intelligent algorithms, maintenance plans are optimized to minimize equipment downtime and improve production efficiency.
[0126] Exemplarily, the system further includes:
[0127] Mobile Module: To facilitate maintenance managers to review and manage maintenance progress anytime, anywhere, the system provides mobile support. Users can upload photos and documents related to maintenance via their mobile devices and track maintenance progress in real time. The mobile interface is simple and user-friendly, supporting operations such as signature stamping and process approval, enhancing the flexibility and convenience of equipment maintenance management.
[0128] This application provides an equipment maintenance management system that can comprehensively record the entire process of equipment maintenance, covering equipment delivery, transportation, disassembly, maintenance process, spare parts procurement, maintenance test reports, maintenance cost settlement and other links, and can be viewed and managed in real time on mobile phones. By integrating various equipment maintenance functions, the system optimizes the maintenance management process, reduces manual errors, and improves management efficiency. It can be widely used in various systems with the same production method; it avoids the use of manual records and paper documents to manage equipment maintenance, which makes equipment maintenance management extremely inconvenient and inefficient.
[0129] It is worth noting that the equipment maintenance management system can be deployed through hardware platforms such as computer hardware, servers and mobile devices.
[0130] Exemplarily, the hardware architecture of the equipment maintenance management system includes: an equipment management server and a maintenance personnel work terminal; the equipment management server is responsible for storing basic information of the equipment, maintenance history records, maintenance work orders and other data; maintenance personnel can access and process maintenance work orders through maintenance personnel work terminals such as computers and mobile devices (such as smart phones and tablets), and update the maintenance status in real time.
[0131] A second aspect of the present application provides an equipment maintenance management method, which is applied to an equipment maintenance management system described in any of the above embodiments, comprising:
[0132] Record and manage device information; the device information includes: device model, device status, device location, and device installation date;
[0133] Obtaining a device maintenance request, and generating a maintenance work order based on the device maintenance request;
[0134] Record historical maintenance data of equipment;
[0135] Record the inventory of parts;
[0136] Record maintenance costs; maintenance costs include: parts costs, labor costs, external service costs, and transportation costs;
[0137] Generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports;
[0138] Based on the historical maintenance data and operation data of the equipment, machine learning and data mining technologies are used to generate equipment failure prediction information and maintenance plans.
[0139] It is worth noting that the effects of the above method embodiments can be found in the effects of the above system embodiments, which will not be described in detail here.
[0140] like Figure 2 As shown, this is a flow chart of the equipment maintenance management system in this application during operation.
[0141] The workflow of the equipment maintenance management system provided by this application is as follows:
[0142] 1. Equipment information entry and management:
[0143] Entering equipment information: When an enterprise purchases new equipment, the management personnel enter the basic information of the equipment (such as model, installation date, equipment location, operating status, etc.) through the system and automatically generate equipment management files.
[0144] Equipment classification and lifecycle management: The system automatically classifies equipment based on its model, status, location, and other information, and provides full lifecycle management for the equipment, tracking the entire process from procurement to scrapping.
[0145] 2.Maintenance request and work order generation:
[0146] Submit a maintenance request: When a device fails, the device manager or operator submits a maintenance request through a terminal. The request includes information such as the failure description, device number, and the time the failure occurred.
[0147] Automatic work order generation: Based on the maintenance request, the system automatically generates a maintenance work order and assigns it to the appropriate maintenance personnel through intelligent algorithms. The system automatically schedules work orders based on equipment type, fault type, and maintenance personnel workload.
[0148] Work order status tracking: The system tracks the status of work orders in real time, including creation, processing, completion, and closure, ensuring that maintenance work is completed on time and recording detailed information for each step.
[0149] 3. Maintenance process management:
[0150] Maintenance personnel receive orders: After receiving the task at their work terminal, maintenance personnel review the fault description and related equipment information, confirm the maintenance steps, and record the maintenance plan in the system.
[0151] Uploading maintenance records: During the maintenance process, maintenance personnel need to upload photos of key operation links and related documents (such as photos of equipment nameplates, photos of the disassembly process, photos of parts used in the maintenance process, functional test reports, etc.) to ensure the transparency and traceability of the maintenance process.
[0152] Maintenance status update: Maintenance personnel need to update the maintenance status in the system in real time to ensure that the task progress can be reflected in the system in real time.
[0153] 4. Work order confirmation and completion:
[0154] Repair Confirmation: After the repair is completed, the maintenance personnel will fill out the repair test report and equipment repair / maintenance site confirmation form to ensure the quality and effectiveness of the repair. The system will require the on-site personnel to sign and confirm and upload the signed and stamped confirmation form.
[0155] Repair work order closure: When all steps are completed and confirmed to be correct, the system will update the repair work order status to "Complete" and archive all relevant documents and photos.
[0156] 5. Historical data recording and analysis:
[0157] Automatically record maintenance history: After each maintenance, the system will automatically record detailed maintenance history, including the cause of the failure, maintenance content, parts used, maintenance personnel and other information.
[0158] Fault analysis and optimization: The system regularly analyzes maintenance history data to identify equipment failure modes and common failure types, thereby optimizing preventive maintenance plans and equipment management strategies.
[0159] 6. Preventive maintenance management:
[0160] Generate preventive maintenance plan: Based on the equipment's operating data and the manufacturer's maintenance recommendations, the system will automatically generate a regular preventive maintenance plan, such as regular inspections and parts replacement.
[0161] Maintenance task reminder: The system will remind relevant personnel in advance to perform preventive maintenance to ensure that the equipment is always in good working condition.
[0162] 7. Parts inventory and procurement management:
[0163] Inventory management: The system tracks the inventory status of parts in real time, automatically calculates the consumption rate of various parts, and issues purchase reminders when the inventory falls below the set threshold.
[0164] Automatic purchase reminder: When the inventory is insufficient, the system will automatically issue a purchase reminder, and managers can directly initiate purchase requests through the system.
[0165] Supplier management: The system records detailed information about parts suppliers, including price, delivery cycle, quality, etc., to ensure that purchased parts meet quality standards.
[0166] 8. Cost control and analysis:
[0167] Statistics of maintenance costs: The system will count the cost of each maintenance, including parts costs, labor costs, external service costs, etc., to provide enterprises with detailed cost analysis data.
[0168] Budget management and optimization: Based on historical equipment maintenance data, the system helps companies formulate reasonable maintenance budgets and regularly generates maintenance cost analysis reports to help management understand the overall expenditure situation.
[0169] 9. Data reporting and decision support:
[0170] Data report generation: The system regularly generates multi-dimensional data reports such as equipment maintenance status, failure mode analysis, and equipment health assessment to help enterprise management comprehensively analyze the maintenance status of equipment.
[0171] Intelligent decision support: The system uses data visualization technology to display key indicators such as equipment maintenance cost, maintenance frequency, downtime, etc., to assist managers in making scientific equipment management decisions.
[0172] 10. Intelligent prediction and optimization:
[0173] Fault prediction: By analyzing the historical data and operating data of the equipment, the system uses machine learning algorithms to predict possible future equipment failures and adjust the maintenance plan in a timely manner.
[0174] Maintenance resource scheduling: Based on fault prediction and maintenance needs, the system optimizes the scheduling of maintenance personnel and parts to ensure that equipment maintenance is completed in the shortest time and minimize equipment downtime.
[0175] Maintenance plan optimization: Through intelligent algorithms, the system optimizes maintenance plans to ensure maximum equipment operating efficiency and production efficiency.
[0176] 11. Mobile support:
[0177] Check maintenance progress anytime, anywhere: Maintenance personnel can view maintenance work orders, submit maintenance requests, upload photos and documents, and sign and stamp in real time through their mobile phones, improving the flexibility and efficiency of maintenance management.
[0178] Process approval and operation: The system supports the approval and signing of maintenance processes, and relevant personnel can make necessary approvals and confirmations at any time.
[0179] Through the above-mentioned specific implementation methods, the equipment maintenance management system provided by this application can help enterprises realize the intelligence and automation of equipment maintenance management, and improve the efficiency and economic benefits of equipment management.
[0180] The equipment maintenance management system provided in this application enables efficient management and traceability of the entire equipment maintenance process. By integrating various functions, such as equipment delivery and handover, transportation management, maintenance process records, spare parts procurement, maintenance test reports, and maintenance cost settlement, and providing mobile support, it can greatly improve the transparency, accuracy, and efficiency of maintenance management. This system will significantly reduce manual errors, lower maintenance costs, and improve the quality and service level of equipment maintenance.
[0181] The above specific implementation methods further explain in detail the purpose, technical solutions and beneficial effects of the embodiments of the present application. It should be understood that the above are only specific implementation methods of the embodiments of the present application and are not intended to limit the scope of protection of the embodiments of the present application. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application should be included in the scope of protection of the embodiments of the present application.
Claims
1. An equipment maintenance management system, characterized in that: include: Equipment information management module (1), work order management module (2), maintenance record and historical data management module (3), parts inventory and procurement management module (4), cost control and analysis module (5), data report and analysis module (6), equipment failure prediction and optimization module (7); The device information management module (1) is configured to record and manage device information; the device information includes: device model, device status, device location, and device installation date; The work order management module (2) is configured to obtain a device maintenance request and generate a maintenance work order according to the device maintenance request; The maintenance record and historical data management module (3) is configured to record historical maintenance data of the equipment; The parts inventory and procurement management module (4) is configured to record the inventory of parts; The cost control and analysis module (5) is configured to record maintenance costs; the maintenance costs include: parts costs, labor costs, external service costs, and transportation costs; The data report and analysis module (6) is configured to generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports; The equipment failure prediction and optimization module (7) is configured to generate equipment failure prediction information and maintenance plans based on historical maintenance data and operation data of the equipment using machine learning and data mining technology.
2. The equipment maintenance management system according to claim 1, characterized in that: The maintenance work order includes: equipment repair handover form, maintenance plan confirmation form, equipment maintenance test report, equipment repair and maintenance site confirmation form, inverter maintenance service site confirmation form, handling labor information, and vehicle information; the work order management module (2) is further configured as follows: Acquire maintenance information based on the maintenance work order; the maintenance information includes: the type of equipment to be repaired, the type of fault, and the workload status of the maintenance personnel; A maintenance personnel is determined based on the maintenance information, and the maintenance work order is assigned to the maintenance personnel.
3. The equipment maintenance management system according to claim 1, characterized in that: The work order management module (2) is further configured to: Obtain the real-time status of the maintenance work order; the real-time status includes: created, in progress, completed and closed.
4. The equipment maintenance management system according to claim 1, characterized in that: The maintenance record and historical data management module (3) is further configured to: Record equipment maintenance data; the equipment maintenance data includes: equipment failure cause, maintenance content, parts used, and maintenance personnel information; Determine equipment failure information and generate maintenance plans based on historical equipment maintenance data; Capture and record images of the equipment disassembly and repair process.
5. The equipment maintenance management system according to claim 1, characterized in that: The system further comprises: A preventive maintenance management module (8), wherein the preventive maintenance management module (8) is configured to: If the equipment is on the maintenance-pending date, a preventive maintenance plan is generated based on the equipment's usage frequency and the equipment manufacturer's maintenance recommendations. The preventive maintenance plan includes: parts to be inspected, parts to be replaced, and parts to be lubricated. The preventive maintenance plan is sent to a setting device; the setting device is an electronic device capable of receiving electronic information.
6. The equipment maintenance management system according to claim 1, characterized in that: The parts inventory and procurement management module (4) is further configured as follows: If the inventory of the parts is less than the set inventory threshold, a purchase message is generated and sent to the set device; The procurement information includes: the name of the component and the minimum procurement quantity; the minimum procurement quantity is the difference between the set inventory threshold and the component inventory; Record parts supplier information; the parts supplier information includes: parts price, delivery cycle, and quality parameters.
7. The equipment maintenance management system according to claim 1, characterized in that: The cost control and analysis module (5) is further configured to: Obtain information about equipment to be repaired; Generate a maintenance budget plan based on the information of the equipment to be repaired and the historical maintenance data; The maintenance budget plan includes: parts costs, labor costs, external service costs, and transportation costs; After the equipment to be repaired is repaired, a settlement statement is generated based on the repair cost of the equipment to be repaired; the settlement statement is configured to display the repair cost items and details; Generate an invoicing record based on the settlement statement; the invoicing record includes: invoicing date, amount, and invoice number information.
8. The equipment maintenance management system according to claim 1, characterized in that: The data reporting and analysis module (6) is further configured to: Based on the historical maintenance data, using data visualization technology, a maintenance status report is generated; the maintenance status report is configured to display the maintenance frequency, maintenance cost, and equipment downtime of the equipment; Determining the type and cause of equipment failure based on the historical maintenance data; Generate an optimization plan based on the fault type and cause; Based on the optimization scheme, a failure mode analysis report is generated using data visualization technology; Determine the health status of the equipment based on its historical maintenance and operation data; generating a maintenance suggestion plan based on the health status; The maintenance suggestion plan includes: whether the equipment or parts in the equipment need to be replaced or repaired; Based on the maintenance suggestion plan, an equipment health assessment report is generated using data visualization technology.
9. The equipment maintenance management system according to claim 1, characterized in that: The equipment failure prediction and optimization module (7) is further configured to: Based on the equipment's historical maintenance and operation data, machine learning and data mining techniques are used to predict the equipment's failure type and occurrence time. Obtaining fault prediction information based on the fault type and occurrence time; generating a maintenance plan based on the fault prediction information; The maintenance plan includes: maintenance personnel and information on parts to be used.
10. An equipment maintenance management method, applied to an equipment maintenance management system according to any one of claims 1 to 9, characterized in that: include: Record and manage device information; the device information includes: device model, device status, device location, and device installation date; Obtaining a device maintenance request, and generating a maintenance work order based on the device maintenance request; Record historical maintenance data of equipment; Record the inventory of parts; Record maintenance costs; maintenance costs include: parts costs, labor costs, external service costs, and transportation costs; Generate data reports based on the historical maintenance data using data visualization technology; the data reports include: maintenance status reports, failure mode analysis reports, and equipment health assessment reports; Based on the historical maintenance data and operation data of the equipment, machine learning and data mining technologies are used to generate equipment failure prediction information and maintenance plans.