A system and method for QR code-based equipment management

Abstract

A system and method for QR Code (RTM) based equipment management comprises a module (202) for generating and printing unique QR Codes that can be attached to equipment or components, a database module

Description

Fig.l GB 2632390 A 100 User Interface Module (204) AI Troubleshoot Guidance Module (208) Integration Module (212) Training Module (214) A System and Method for QR Code-Based Equipment Management 100 Fig. 1 202 204 206 208 210 200 Memory (302) QR Code Generation Module (202) User Interface Module (204) Platform Module (206) AI Troubleshoot Guidance Module (208) Database Module (210) Integration Module (212) Training Module (214) Fig. 3 Database (410) System for providing augmented reality (AR) integration Data Acquisition Module (502) Data Pre-processing Module (504) Machine Learning (506) Prediction Module (508) Alert Module (510) System for providing a predictive maintenance Fig. 5 System for monitoring equipment performance and operating conditions Interactive Troubleshooting Module (702) User Input Module (704) Equipment Condition Monitoring Module (706) Dynamic Adjustment Module (708) Display Module (710) System for providing interactive troubleshooting of equipment Notification Database (802) Notification Module (804) Communication Module (806) User Preference Module (808) Customization Module (810) Notification System (800) Security Module (910) System for equipment issue resolution and collaboration Mobile Application Module (1002) Parts and Supplies Database (1004) Ordering Module (1006) Shipping Module (1008) QR Code Module (1010) Equipment Monitoring Module (1012) User Profile Module (1014) System for automated equipment parts ordering Integration Module (1102) Secure data transfer module (1104) Device compatibility Module (1106) User access control module (1108) System for cloud storage integration module 1100 Training Module (1202) User Progress Tracking Module (1206) Content Management Module (1210) Reporting Module (1214) System for equipment maintenance and repair training and certification Open API Module (1302) Compatibility Module (1306) Customization Module (1310) System for API integration Mobile Application Module (1402) Offline Mode Module (1404) Data Storage Module (1406) Synchronization Module (1408) Task Management Module (1410) User Interface Module (1412) Security Module (1414) System for offline mode operation Compliance Module (1502) Compliance Tracking Module (1504) Compliance Tracking Module (1506) Audit Trail Module (1508) Reporting Module (1510) User Access Control Module (1512) System for equipment compliance tracking Authentication and Encryption Module (1602) Privacy Policy and Compliance Module (1606) Firewall and Incident Response Module (1604) Training and Awareness Module (1608) Monitoring and Auditing Module (1610) System for Data Security and Privacy i 1600 Energy Consumption Monitoring Module (1702) Energy Analytics Module (1704) Energy Dashboard Module (1706) Equipment Optimization Module (1708) Reporting Module (1710) Data Visualization Module (1712) User Control Access Module (1714) System for energy efficiency monitoring Intellectual Property Office Application No. GB2306202.9 RTM Date :21 November 2024 The following terms are registered trade marks and should be read as such wherever they occur in this document: QR Code Intellectual Property Office is an operating name of the Patent Office www.gov.uk / ipo A SYSTEM AND METHOD FOR QR CODE-BASED EQUIPMENT MANAGEMENT FIELD OF INVENTION

[0001] The present invention relates to equipment management and maintenance, particularly in industries where many machines, plants and equipment are used. More particularly, the present invention is relating to a system and method for QR code-based equipment management. BACKGROUND OF THE INVENTION

[0002] In manufacturing, building or retail environments, engineers or laymen often need to access information about the equipment they are working with. However, obtaining this information can be time-consuming and challenging.

[0003] The field of equipment management and maintenance has always been a complex and time-consuming task for businesses in various industries, including manufacturing, retail, and building management. The lack of centralized information and resources about equipment specifications, parts, and maintenance procedures can lead to inefficient maintenance practices, equipment downtime, and increased costs. In addition, troubleshooting equipment faults and diagnosing problems can be challenging for engineers and laymen, especially when dealing with unfamiliar equipment.

[0004] To address these challenges, a QR code-based equipment management system is proposed in the present disclosure.

[0005] SUMMARY OF THE INVENTION

[0001] In light of the requirements mentioned in the previous section, the following summary is provided to facilitate an understanding of some of the innovative features unique to the present invention and is not intended to be a full description. A full appreciation of the various aspects of the invention can be gained by taking the entire specification and drawings as a whole.

[0002] Embodiments of the present invention disclose a system and method for QR code-based equipment management. According to an embodiment of the present invention, the QR codebased equipment management system provides access to equipment-related information by scanning a QR code fixed to each equipment.

[0003] According to an embodiment of the present invention, the system further comprises a database of equipment manuals, instruction guides, and troubleshooting tips.

[0004] According to an embodiment of the present invention, the system further comprises AI-based troubleshooting that provides guidance for common faults related to specific equipment models.

[0005] According to an embodiment of the present invention, the system further comprises a mobile app that quickly displays all equipment information to engineers.

[0006] According to an embodiment of the present invention, the system further comprises a platform where businesses can generate and print their own QR codes for their equipment, as well as host all necessary information about their equipment.

[0007] According to an embodiment of the present invention, the system further comprises integration with existing field service management software to provide engineers with access to all relevant equipment information.

[0008] According to an embodiment of the present invention, a method for using the QR codebased equipment management system comprises scanning the QR code on the equipment to access all relevant information, including manuals, instruction guides, troubleshooting tips, and Al-based troubleshooting guidance.

[0009] This summary is provided merely for the purposes of summarizing some example embodiments, to provide a basic understanding of some aspects of the subject matter described herein. Accordingly, it will be appreciated that the above-described features are merely examples and should not be construed to narrow the scope or spirit of the subject matter described herein in any way. Other features, aspects, and advantages of the subject matter described herein will become apparent from the following detailed description and figures.

[0010] The abovementioned embodiments and further variations of the proposed invention are discussed further in the detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] FIG. 1 illustrates a block diagram representing all the modules for QR code-based equipment management system according to the embodiments of the present disclosure.

[0012] FIG. 2 illustrates a method for QR code-based equipment management according to the embodiments of the present disclosure.

[0013] FIG. 3 illustrates a block diagram representation of the processing subsystem located on a remote server according to the embodiments of the present disclosure.

[0014] FIG. 4 illustrates a block diagram representation of a system for providing augmented reality (AR) integration according to the embodiments of the present disclosure.

[0015] FIG. 5 illustrates a block diagram representation of a system for providing a predictive maintenance system according to the embodiments of the present disclosure.

[0016] FIG. 6 illustrates a system for monitoring equipment performance and operating conditions according to the embodiments of the present disclosure.

[0017] FIG. 7 illustrates a system for interactive troubleshooting of equipment according to the embodiments of the present disclosure.

[0018] FIG. 8 illustrates a system for notification system for equipment-related issues, maintenance schedules or updates according to the embodiments of the present disclosure.

[0019] FIG. 9 illustrates a system for equipment issue resolution and collaboration according to the embodiments of the present disclosure.

[0020] FIG. 10 illustrates a system for automated parts ordering according to the embodiments of the present disclosure.

[0021] FIG. 11 illustrates a system for cloud storage integration according to the embodiments of the present disclosure.

[0022] FIG. 12 illustrates a system for equipment maintenance and repair training and certification according to the embodiments of the present disclosure.

[0023] FIG. 13 illustrates a system for API integration according to the embodiments of the present disclosure.

[0024] FIG. 14 illustrates a system for offline mode operation according to the embodiments of the present disclosure.

[0025] FIG. 15 illustrates a system for equipment compliance tracking according to the embodiments of the present disclosure.

[0026] FIG. 16 illustrates a system for data security and privacy according to the embodiments of the present disclosure. FIG. 17 illustrates a system for energy efficiency monitoring according to the embodiments of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0027] In the following description of the embodiments of the invention, reference is made to the accompanying drawings that form a part hereof, and which are shown by way of illustration of specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present invention.

[0028] The specification may refer to “an”, “one” or “some” embodiment(s) in several locations. This does not necessarily imply that each such reference is to the same embodiment(s), or that the feature only applies to a single embodiment. Single feature of different embodiments may also be combined to provide other embodiments.

[0029] As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well unless expressly stated otherwise. It will be further understood that the terms “includes”, “comprises”, “including” and / or “comprising” when used in this specification, specify the presence of stated features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features integers, steps, operations, elements, components, and / or groups thereof. As used herein, the term “and / or” includes any and all combinations and arrangements of one or more of the associated listed items.

[0030] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It will be further understood that terms, such as those defined in commonly used dictionaries should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0031] The utility of the devices described herein will be explained further in detail in the following sections of this document referring to the figures. Specific terms used herein do not restrict the scope of the present disclosure.

[0032] Embodiments of the present invention disclose a system and method for QR code-based equipment management.

[0033] FIG. 1 illustrates a block diagram representing all the modules for QR code-based equipment management system according to the embodiments of the present disclosure. The system comprises of a QR code generation module (202), a user interface module (204), a platform module (206), an AI troubleshoot guidance module (208), a database module (210), an integration module (212) and a training module (214).

[0034] According to an embodiment of the present invention, the QR code-based equipment management system provides access to equipment-related information by scanning a QR code fixed to each equipment.

[0035] According to an embodiment of the present invention, the system further comprises a database of equipment manuals, instruction guides, and troubleshooting tips.

[0036] According to an embodiment of the present invention, the system further comprises AI-based troubleshooting that provides guidance for common faults related to specific equipment models.

[0037] According to an embodiment of the present invention, the system further comprises a mobile app that quickly displays all equipment information to engineers.

[0038] According to an embodiment of the present invention, the system further comprises a platform where businesses can generate and print their own QR codes for their equipment, as well as host all necessary information about their equipment.

[0039] According to an embodiment of the present invention, the system further comprises integration with existing field service management software to provide engineers with access to all relevant equipment information.

[0040] According to an embodiment of the present disclosure, the QR code generation module is configured to generate a unique QR code for each of the equipment and the QR codes are to be printed on labels that can be attached to the equipment.

[0041] According to an embodiment of the present disclosure, the user interface module (204) is configured to provide a user-friendly interface for scanning QR codes using a user device and displaying all the equipment information to engineers or laymen.

[0042] According to an embodiment of the present disclosure, the platform module (206) is configured to provide a centralized platform for businesses to generate and print QR codes for equipment and host necessary information about the equipment.

[0043] According to an embodiment of the present disclosure, the database module (210) is configured to store all the necessary information about various types of equipment, including manuals, instruction guides, and troubleshooting tips.

[0044] According to an embodiment of the present disclosure, the AI troubleshooting guidance module (208) is configured to provide troubleshooting guidance for common faults related to specific equipment models.

[0045] According to an embodiment of the present disclosure, the integration module (212) is configured to integrate the system with existing field service management software to provide engineers with access to all the relevant equipment information.

[0046] According to an embodiment of the present disclosure, the training module (214) is configured to provide training to businesses on how to use the platform and QR codes to help streamline their maintenance and repair processes.

[0047] Overall, each of these modules would work together to create a comprehensive and efficient system for equipment management and maintenance.

[0048] According to an embodiment of the present disclosure, the system is further configured to facilitate the use of the QR code technology to control the hire and use of plant and machinery, wherein the QR code is linked to a dedicated mobile application that is configured to register the user and approved based on relevant documentation. In a scenario when the equipment is activated, the mobile application displays the details such as for how long the equipment is used for and charge the users accordingly for the equipment usage.

[0049] The system (100) architecture can be enhanced to include the following:

[0050] Maintenance reminders: The system (100) is configured to track machinery maintenance schedules through the QR code system and send users reminders when it's time to schedule servicing.

[0051] Live location tracking: The system (100) is configured to incorporate GPS technology into the QR code system to enable live tracking of machinery location and ensure it's being used as intended.

[0052] User ratings: The system (100) is configured to allow users to rate and comment on machinery after use and use this feedback to help other customers make informed decisions about what equipment to hire.

[0053] The activation and working method of the QR code system (100), the system (100) can activate the engine through several methods, including but not limited to linking the QR code to a digital system that sends a signal to the engine’s onboard computer or a controller to start the engine. In another approach, the QR code triggers a relay or switch that physically connects the engine to a power source, effectively starting the engine.

[0054] According to an embodiment of the present disclosure, the specific implementation would depend on the type of the engine and the requirements of the system. Some of such method include but not limited to:

[0055] Remote Start: The system (100) is configured to use the QR code to initiate a remote start command to the engine through a digital system or mobile app that is connected to the engine's onboard computer or controller. This approach becomes useful when starting engines that are in hard-to-reach or dangerous locations.

[0056] Biometric Scanning: The system (100) is configured to include a biometric scanning technology, such as facial recognition or fingerprint scanning, in the QR code system to activate the engine only by authorized personnel. This would prevent unauthorized use and improve the overall security.

[0057] Time-Delayed Start Technique: With this technique of the system (100), the QR code is scanned, and a timer is initiated before the engine starts, preventing accidental or unauthorized engine starts. For instance, the delay can be set to a specific time interval such as for 5 minutes or it can be dynamic based on the specific conditions of the environment or the engine.

[0058] Multi-Level Authentication: The system (100) is configured to use multiple levels of authentication, such as a QR code scan and a password, to activate the engine, providing an extra layer of security.

[0059] These enhancements can improve the overall efficiency and security of the QR code system, making it an even more valuable tool for businesses using plants and machinery.

[0060] FIG. 2 illustrates the method for QR code-based equipment management according to the embodiments of the present disclosure. The method comprises generating a unique QR code for each equipment and attaching the printed QR code label to the equipment at step 202. At step 204, the method comprises of storing equipment information including its full specification, parts list, process and instructional manuals, troubleshooting tips, and other relevant data in a centralized database.

[0061] At step 206, the method comprises providing access to the equipment information via a centralized platform and scanning the QR code on the equipment label using a mobile application on a user device.

[0062] At step 208, the method comprises retrieving equipment information from the database using the mobile application and displaying the equipment information the mobile application. Finally, at step 210, the method comprises using the information provided by the mobile application to troubleshoot, diagnose, or perform maintenance on the equipment and update the equipment information in the database to reflect the changes made.

[0063] FIG. 3 illustrates a block diagram representation of the processing subsystem located on a remote server according to the embodiments of the present disclosure. The system (300) includes a processor(s) (306), bus (304) and memory (302) coupled to the processor (306) via the bus (304). The processor(s) (306), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor (306), a microcontroller, a complex instruction set computing microprocessor (306), a reduced instruction set computing microprocessor (306), a very long instruction word microprocessor (306), an explicitly parallel instruction computing microprocessor (306), a digital signal processor (306), or any other type of processing circuit, or a combination thereof. The bus (302), as used herein, is a communication system that transfers data between components inside a computer, or between computers. The memory (302) includes a plurality of modules stored in the form of an executable program which instructs the processor (306) to perform the method steps illustrated in Figure 3. The memory (302) has the following modules comprising the QR code generation module (202), user interface module (204), platform module (206), AI troubleshoot guidance module (208), database module (210), integration module (212) and training module (214).

[0064] Computer memory (302) elements may include any suitable memory device for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (306).

[0065] This system provides a convenient way for businesses to manage their equipment by attaching a QR code to each unit. The QR code contains all necessary information about the equipment, including its full specifications, parts list, maintenance procedures, and troubleshooting tips. This information can be accessed by scanning the QR code with a mobile device, which then directs the user to a platform where all the relevant information is stored.

[0066] The platform allows businesses to generate and print their own QR codes for their equipment, as well as host all necessary information about their equipment. The system also uses AI to provide troubleshooting guidance for common faults related to specific equipment models. Integration with existing field service management software ensures that engineers have access to all relevant information in the field, and a mobile app simplifies the QR code scanning process.

[0067] Overall, the QR code-based equipment management system offers a comprehensive and efficient solution for businesses to manage their equipment, reduce downtime, and improve maintenance practices.

[0068] FIG. 4 illustrates a block diagram representation of a system (400) for providing augmented reality (AR) integration according to the embodiments of the present disclosure. The system (400) can provide augmented reality (AR) integration. The augmented reality (AR) integration comprises of a mobile device (402) configured to execute the mobile application, a camera (404) associated with the mobile device (402) for capturing video of equipment, an AR processor (406) configured to receive the captured video and superimpose virtual content onto the equipment and an user interface (408) for displaying the superimposed virtual content on the mobile device, thereby enabling users to visualize repair and maintenance processes directly on the equipment, making it easier to follow instructions and perform tasks. The system (400) further includes a database (410) of repair and maintenance procedures, wherein the AR processor (406) is further configured to retrieve and display the relevant repair and maintenance procedures on the mobile device (402) based on the captured video of the equipment. The system (400) further comprises of a virtual content of step-by-step instructions, diagrams, and animations for completing the repair and maintenance procedures.

[0069] FIG. 5 illustrates a block diagram representation of a system (500) for providing a predictive maintenance system according to the embodiments of the present disclosure. The predictive maintenance system (500) for equipment management comprises of a data acquisition module (502) configured to collect equipment data, a data pre-processing module (504) configured to clean and prepare the collected equipment data for analysis, a machine learning module (506) configured to train on the cleaned equipment data and generate predictive models to forecast potential equipment failures or maintenance needs, a prediction module (508) configured to apply the predictive models generated by the machine learning module (506) to the current equipment data to determine if maintenance is needed and an alert module (510) configured to notify relevant personnel if maintenance is predicted to be required, enabling proactive scheduling of maintenance and reducing equipment downtime.

[0070] FIG. 6 illustrates a system (600) for monitoring equipment performance and operating conditions according to the embodiments of the present disclosure. The system (600) for monitoring equipment performance and operating conditions comprising one or more sensors (602) configured to capture data related to the equipment's performance and operating conditions, an loT (Internet of Things) platform (604) configured to receive and process the captured data from the sensors, a QR code module (606) configured to provide user access to the processed data and a user interface (608) configured to display the processed data to users, enabling them to make informed decisions regarding equipment maintenance and repairs based on the captured data.

[0071] FIG. 7 illustrates a system (700) for interactive troubleshooting of equipment according to the embodiments of the present disclosure. The system (700) for interactive troubleshooting of equipment comprises an interactive troubleshooting module (702) configured to provide step-by-step instructions for addressing equipment issues. The system comprises of a user input module (704) configured to receive user inputs related to the equipment issues, an equipment condition monitoring module (706) configured to monitor the equipment's condition and provide information to the interactive troubleshooting guide, a dynamic adjustment module (708) configured to adjust the interactive troubleshooting guide based on the user inputs and the equipment condition information and a display module (710) configured to display the adjusted interactive troubleshooting guide to the user, enabling the user to quickly identify issues and follow the step-by-step guide to address the problem.

[0072] FIG. 8 illustrates a system (800) for notification system for equipment-related issues, maintenance schedules or updates according to the embodiments of the present disclosure. The notification system (800) for equipment-related issues, maintenance schedules, or updates, comprises a notification database (802) comprising equipment-related data, maintenance schedules, and updates, a notification module (804) configured to monitor the notification database and generate notifications based on the equipment-related data, maintenance schedules, or updates, a communication module (806) configured to send notifications to users through email, SMS, or push notifications through the mobile app, a user preference module (808) configured to receive and store user preferences for notification frequency and type of notification and a notification customization module (810) configured to customize the notifications based on the user preferences and the type of equipment-related data, maintenance schedules, or updates, enabling the user to stay informed about equipment-related issues and maintenance schedules.

[0073] FIG. 9 illustrates a system (900) for equipment issue resolution and collaboration according to the embodiments of the present disclosure. The system (900) for equipment issue resolution and collaboration comprises a communication module (902) configured to enable users to communicate with colleagues, share updates, and collaborate on resolving equipment issues, a collaboration module (904) configured to provide tools for users to work together on resolving equipment issues, a platform (906) configured to integrate the communication and collaboration modules with the equipment monitoring and troubleshooting modules, a user profile module (908) configured to store user information and preferences for communication and collaboration and a security module (910) configured to provide secure access to the communication and collaboration tools, ensuring data privacy and confidentiality during communication and collaboration among the users.

[0074] FIG. 10 illustrates a system (1000) for automated equipment parts ordering according to the embodiments of the present disclosure. The system (1000) for automated parts ordering comprises of a mobile application module (1002) configured to enable users to scan the QR code and directly order replacement parts and supplies, a parts and supplies database (1004) configured to store information about the replacement parts and supplies, including part numbers, pricing, and availability. An ordering module (1006) configured to receive the user’s order and process the payment, a shipping module (1008) configured to generate shipping labels and track the delivery status of the replacement parts and supplies, a QR code module (1010) integrated with an equipment monitoring module (1012), enabling users to scan the QR code to access equipment information and order replacement parts and supplies and a user profile module (1014) configured to store user information, order history, and preferences, enabling users to quickly order replacement parts and supplies and streamline the ordering process, reducing downtime and improving efficiency.

[0075] FIG. 11 illustrates a system (1100) for cloud storage integration according to the embodiments of the present disclosure. The system (1100) for cloud storage integration comprises of integration module (1102) configured to integrate the system with popular cloud storage platforms, a secure data transfer module (1104) configured to transfer equipment information securely to and from the cloud storage platforms, a device compatibility module (1106) configured to enable businesses to access equipment information from any device with internet access and a user access control module (1108) configured to ensure secure access to equipment information, allowing businesses to securely store and access equipment information from anywhere and on any device.

[0076] FIG. 12 illustrates a system (1200) for equipment maintenance and repair training and certification according to the embodiments of the present disclosure. The system (1200) for equipment maintenance and repair training and certification comprises a training module (1202) within the app configured to provide users with comprehensive instructions and best practices for equipment maintenance and repair, a certification module (1204) configured to offer certification programs to users based on their performance in completing the training modules (1202). Further a user progress tracking module (1206) configured to track the progress of users in completing the training modules and certification programs, a user feedback module (1208) configured to gather feedback from users on the training modules and certification programs, a content management module (1210) configured to manage the training module content, update the content regularly based on user feedback and industry standards, and ensure the accuracy and completeness of the training materials. Also, a communication module (1212) configured to communicate the importance of training and certification to users and motivate them to improve their skills and knowledge and a reporting module (1214) configured to generate reports on user progress and performance, enabling businesses to identify areas for improvement and measure the effectiveness of the training and certification programs.

[0077] FIG. 13 illustrates a system (1300) for API integration according to the embodiments of the present disclosure. The system (1300) for API integration comprising an open API module (1302) configured to allow for easy integration with other enterprise software and management systems, such as Enterprise Resource Planning (ERP) or Computerized Maintenance Management System (CMMS), a data exchange module (1304) configured to streamline the exchange of data between the system and other enterprise software and management systems using the open API. It further comprises of a compatibility module (1306) configured to ensure compatibility between the system and other enterprise software and management systems, a security module (1308) configured to ensure secure access to the system and other enterprise software and management systems during the data exchange process, a customization module (1310) configured to enable businesses to customize the data exchange process based on their unique needs and requirements and a reporting module (1312) configured to generate reports on the data exchange process, enabling businesses to measure the effectiveness of the API integration and improve overall business operations.

[0078] FIG. 14 illustrates a system (1400) for offline mode operation according to the embodiments of the present disclosure. The system (1400) for offline mode operation comprises of a mobile application module (1402) configured to provide essential information and perform tasks related to equipment monitoring and maintenance and an offline mode module (1404) configured to enable users to access essential information and perform tasks even when they do not have internet connectivity. The system (1400) further comprises of a data storage module (1406) configured to store essential information related to equipment monitoring and maintenance locally on the mobile device, a synchronization module (1408) configured to synchronize the essential information stored locally on the mobile device with the cloud server once internet connectivity is restored, a task management module (1410) configured to enable users to perform essential tasks related to equipment monitoring and maintenance in offline mode and automatically synchronize the completed tasks once internet connectivity is restored, a user interface module (1412) configured to display essential information and enable users to perform essential tasks related to equipment monitoring and maintenance in offline mode and a security module (1414) configured to ensure secure access to the essential information and tasks performed in offline mode, protecting the data privacy and confidentiality of users.

[0079] FIG. 15 illustrates a system (1500) for equipment compliance tracking according to the embodiments of the present disclosure. The system (1500) for equipment compliance tracking comprising a compliance database (1502) configured to store information related to regulatory compliance requirements for the equipment, including safety and environmental regulations, a compliance tracking module (1504) configured to track and manage the regulatory compliance for the equipment, using the information stored in the compliance database, a compliance notification module (1506) configured to generate notifications to alert businesses of impending compliance deadlines or non-compliant equipment, an audit trail module (1508) configured to generate an audit trail of compliance-related activities for the equipment, enabling businesses to maintain compliance records and prove compliance during audits or inspections, a reporting module (1510) configured to generate compliance reports, enabling businesses to track compliance trends and identify areas for improvement and a user access control module (1512) configured to ensure secure access to the compliance-related information and activities, protecting the data privacy and confidentiality of businesses.

[0080] FIG. 16 illustrates a system (1600) for data security and privacy according to the embodiments of the present disclosure. The system (1600) for advanced data security and privacy comprises of an authentication and encryption module (1602) configured to prevent unauthorized access or data breaches, a firewall and incident response module (1604) to prevent malware attacks and respond promptly to security incidents. Further a privacy policy and compliance module (1606) to ensure adherence to data security and privacy regulations. Further a training and awareness module (1608) to educate users on best practices and raise awareness of potential risks and threats. Also, a monitoring and auditing module (1610) to detect and investigate suspicious activities or potential breaches, maintaining the confidentiality and integrity of the system.

[0081] FIG. 17 illustrates a system (1700) for energy efficiency monitoring according to the embodiments of the present disclosure. The system (1700) for energy efficiency monitoring comprises of an energy consumption monitoring module (1702) configured to capture data related to energy consumption for the equipment, an energy analytics module (1704) configured to analyze the captured data and identify inefficiencies and opportunities for energy optimization, an energy dashboard module (1706) configured to display the analyzed data and insights to users, enabling them to make informed decisions regarding energy usage, an equipment optimization module (1708) configured to optimize the energy usage of the equipment based on the analyzed data and insights, a reporting module (1710) configured to generate reports on energy consumption and savings, enabling businesses to measure the effectiveness of the energy efficiency monitoring and optimization, a data visualization module (1712) configured to provide graphical representations of the energy consumption and savings data, making it easier for users to interpret and understand the data and a user access control module (1714) configured to ensure secure access to the energy consumption and savings data, protecting the data privacy and confidentiality of businesses.

[0082] Examples described herein can also be used in various other scenarios and for various purposes. It may be noted that the above-described examples of the present solution are for the purpose of illustration only. Although the solution has been described in conjunction with a specific embodiment thereof, numerous modifications may be possible without materially departing from the instructions and advantages of the subject matter described herein. Other substitutions, modifications, and changes may be made without departing from the spirit of the present solution. All of the features disclosed in this specification (including any accompanying claims, abstract, and drawings), and / or all of the steps of any method or process so disclosed, may be combined in any arrangement, except combinations where at least some of such features and / or steps are mutually exclusive.

[0083] The present description has been shown and described with reference to the foregoing examples. It is understood, however, that other forms, details, and examples can be made without departing from the spirit and scope of the present subject matter.

Claims

1. A QR code-based equipment management system (100), comprising:a QR code generation module (102) configured to generate a unique QR code for one or more equipment and print the QR code on labels for attachment to the equipment;a user interface module (104) configured to provide an user interface for scanning QR codes using a user device and displaying one or more equipment information to users;a platform module (106) configured to provide a centralized platform for businesses to generate, print QR codes for one or more equipment, and host necessary information about the one or more equipment;an AI troubleshoot guidance module (108) configured to provide artificial intelligence based troubleshooting guidance for faults related to specific equipment models, utilizing a combination of machine learning techniques and rule-based systems, and capable of self-improvement based on new data;a database module (110) configured to store one or more equipment-related information comprising at least one of manuals, instruction guides, troubleshooting steps, and to receive updates reflecting changes made during maintenance;an integration module (112) configured to integrate with existing field service management to provide comprehensive access to equipment information; anda training module (114) configured to provide training to businesses on utilizing the platform and QR codes, employing a variety of formats comprising at least one of videos, interactive tutorials, and gamified elements to adapt to user's learning progress and feedback,wherein the system is further configured to track maintenance schedules via the QR code, send servicing reminders, incorporate GPS for live location tracking of the one or more equipment, and enable user ratings and feedback on equipment use.

2. The QR code-based equipment management system as claimed in claim 1, further comprising:an augmented reality (AR) integration system (400) comprising a mobile device (402) configured with a camera (404) for capturing video of the one or more equipment, an AR processor (406) configured to superimpose virtual content onto the captured video and display it on the mobile device (402) via a user interface (408), wherein the virtual content comprises step-by-step instructions, diagrams, and animations for equipment repair and maintenance,wherein the AR processor (406) is further configured to differentiate between types of equipment using machine learning techniques and spatial mapping techniques, and to select and display relevant repair and maintenance procedures stored in a database (410) based on the captured video,wherein the mobile device (402) is optimized for AR performance with high-processing power, motion tracking sensors, and specialized AR hardware to support the superimposition of virtual content, andwherein the camera (404) is enhanced with image stabilization techniques, comprising Optical Image Stabilization (OIS) and Electronic Image Stabilization (EIS), and low-light performance enhancements, such as larger aperture lenses and Back-Illuminated Sensor (BSI) technology, to improve the capture of video in various environmental conditions and enhance AR experiences,wherein the augmented reality (AR) integration system (400) further configured to provide step-by-step visual instructions for maintenance and repair using 3D models, interactive overlays, and real-time guidance.

3. The QR code-based equipment management system as claimed in claim 1, further comprising:a predictive maintenance system (500) comprising a data acquisition module (502) configured to collect equipment data comprising at least one of temperature, pressure, vibration, operational parameters, error logs, acoustical signatures, and electrical consumption;a data pre-processing module (504) configured to clean and prepare the collected data for analysis by normalizing data scales, detecting and removing outliers, and extracting relevant features;a machine learning module (506) configured to utilize regression models, classification models, and clustering techniques to generate predictive models for forecasting one or more equipment failures and maintenance needs, trained on historical equipment data with continuous learning and cross-equipment learning capabilities,wherein the machine learning module (506) is further configured to incorporate predictive maintenance algorithms, analyze sensor data for anomaly detection, and generate detailed reports on predictive maintenance records;a prediction module (508) configured to apply the predictive models to current equipment data to assess maintenance needs, using thresholds based on statisticaldeviations or predictive scores to determine alert triggers; andan alert module (510) configured to notify relevant personnel of predicted maintenance needs through methods such as email, SMS, and in-app notifications, with routing based on roles, responsibilities, and proximity, and configurable alert conditions and recipients.

4. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (600) for monitoring equipment performance and operating conditions, one or more sensors (602) configured to capture data comprising at least one of temperature, pressure, and vibration, with specific sensors like thermocouples and piezoelectric sensors recommended based on equipment type;an Internet of Things (loT) platform (604) configured to receive and process the data captured from the sensors, ensuring accurate and real-time analysis;a QR code module (606) configured to provide user access to the processed data, facilitating easy retrieval of equipment information;a user interface (608) configured to display the processed data to users, enabling them to make informed decisions regarding equipment maintenance and repairs.

5. The QR code-based equipment management system as claimed in claim 1, further comprising:an interactive troubleshooting system (700) for equipment, comprising an interactive troubleshooting module (702) configured to provide step-by-step instructions for resolving equipment issues, wherein these instructions are categorized based on common equipment issues and updated regularly to reflect new information and feedback;a user input module (704) configured to receive plurality of user inputs comprising at least one of text descriptions, error codes, photos, and voice, utilizing natural language processing (NLP) for text, image recognition for photos, and speech recognition for voice to accurately diagnose equipment issues;an equipment condition monitoring module (706) configured to monitor the equipment's condition by focusing on parameters comprising at least one of wear and tear indicators, performance metrics, and error codes, utilizing sensors and data analytics to detect early signs of issues;a dynamic adjustment module (708) configured to adjust the interactive troubleshooting guide based on user inputs and the equipment condition information,employing techniques comprising at least one of decision trees and Bayesian networks to ensure that adjustments are accurate and reflective of the diagnosed issues; anda display module (710) configured to display the dynamically adjusted troubleshooting guide, enabling users to quickly identify and address issues with clear, step-by-step guidance.

6. The QR code-based equipment management system as claimed in claim 1, further comprising:an automated equipment parts ordering system (1000), comprising:a mobile application module (1002) configured to enable users to scan a QR code to directly order replacement parts and supplies;a parts and supplies database (1004) configured to store detailed information about replacement parts and supplies, such as part numbers, pricing, and availability;an ordering module (1006) configured to receive user orders and process payments efficiently;a shipping module (1008) configured to generate shipping labels and track the delivery status of ordered parts and supplies;a QR code module (1010) integrated with an equipment monitoring module (1012), allowing users to scan the QR code to access detailed equipment information and facilitate the ordering of necessary parts and supplies;a user profile module (1014) configured to store user information, order history, and preferences to streamline the ordering process and enhance the user experience, thereby reducing equipment downtime and improving operational efficiency.

7. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (1200) for equipment maintenance and repair training and certification, comprising:a training module (1202) configured to provide users with interactive training, comprehensive instructions and best practices for equipment maintenance and repair;a certification module (1204) configured to offer certification programs basedon user performance in the training modules (1202) incorporating gamification techniques;a user progress tracking module (1206) configured to monitor the progress of users in completing the training modules and certification programs;a user feedback module (1208) configured to collect feedback from users regarding the training modules and certification programs;a content management module (1210) configured to manage and regularly update the training content based on user feedback and industry standards, ensuring accuracy and completeness of the materials;a communication module (1212) configured to communicate the importance of training and certification to users, motivating them to enhance their skills and knowledge;a reporting module (1214) configured to generate detailed reports on user progress and performance, enabling businesses to identify areas for improvement and assess the effectiveness of the training and certification programs.

8. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (1500) for equipment compliance tracking, comprising:a compliance database (1502) configured to store information related to regulatory compliance requirements for the equipment, encompassing safety and environmental regulations;a compliance tracking module (1504) configured to track and manage the regulatory compliance of the equipment using the information stored in the compliance database;a compliance notification module (1506) configured to generate notifications to alert businesses of impending compliance deadlines or instances of non-compliant equipment;an audit trail module (1508) configured to generate an audit trail of compliance-related activities for the equipment, enabling businesses to maintain compliance records and prove compliance during audits or inspections;a reporting module (1510) configured to generate compliance reports, enablingbusinesses to track compliance trends and identify areas for improvement in their regulatory practices;a user access control module (1512) configured to ensure secure access to the compliance-related information and activities, thereby protecting data privacy and confidentiality of businesses.

9. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (1600) for advanced data security and privacy, comprising:an authentication and encryption module (1602) configured to prevent unauthorized access or data breaches by employing robust encryption techniques and authentication protocols, wherein the authentication and encryption module (1602) is further configured to provide multi-factor authentication, blockchain for secure data transactions, and real-time threat detection using artificial intelligence;a firewall and incident response module (1604) configured to prevent malware attacks and respond promptly to security incidents, enhancing the system’s resilience against cyber threats;a privacy policy and compliance module (1606) configured to ensure adherence to data security and privacy regulations, facilitating compliance with national and international laws;a training and awareness module (1608) configured to educate users on best practices and raise awareness of potential risks and threats to system security; anda monitoring and auditing module (1610) configured to detect and investigate suspicious activities or potential breaches, thereby maintaining the confidentiality and integrity of the system.

10. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (1700) for energy efficiency monitoring, comprising:an energy consumption monitoring module (1702) configured to capture data on electrical, mechanical, and thermal energy consumption from sensors and smart metersattached to the equipment, wherein the energy consumption monitoring module (1702) is further configured to monitor energy consumption, provide detailed energy analytics and optimization using artificial intelligence and facilitate energy usage reduction;an energy analytics module (1704) configured to analyze the captured data using regression analysis, machine learning, and anomaly detection techniques to identify inefficiencies and opportunities for energy optimization;an energy dashboard module (1706) configured to display the analyzed data and insights to users, enabling them to make informed decisions regarding energy usage;an equipment optimization module (1708) configured to optimize the energy usage of the equipment based on the analyzed data and insights, using predictive analytics and simulation models, with optimizations being either automated or requiring manual approval depending on their impact;a reporting module (1710) configured to generate reports on energy consumption and savings, enabling businesses to measure the effectiveness of their energy efficiency monitoring and optimization efforts;a data visualization module (1712) configured to provide graphical representations of energy consumption and savings data, enhancing user understanding and interpretation of the data;a user access control module (1714) configured to ensure secure access to the energy consumption and savings data, protecting the data privacy and confidentiality of businesses.

11. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (1400) for offline mode operation comprising:a mobile application module (1402) configured to provide essential information and perform tasks related to equipment monitoring and maintenance in offline mode;offline mode module (1404) configured to enable users to access essential information and perform tasks even without internet connectivity;data storage module (1406) configured to store essential information locally on the mobile device;synchronization module (1408) configured to synchronize the locally stored information with a cloud server once internet connectivity is restored;task management module (1410) configured to enable users to perform essential tasks in offline mode and automatically synchronize completed tasks when connected;user interface module (1412) configured to display essential information and enable task performance in offline mode; andsecurity module (1414) configured to ensure secure access to essential information and tasks performed offline, protecting data privacy and confidentiality.

12. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (900) for equipment issue resolution and collaboration comprises:a communication module (902) configured to enable users to communicate in realtime and information sharing with colleagues, share updates, and collaborate on resolving equipment issues;a collaboration module (904) configured to provide tools for users to work together on resolving equipment issues comprising at least one of shared workspaces, task assignment, and document sharing.a platform (906) configured to integrate the communication and collaboration modules with the equipment monitoring and troubleshooting modules of the system.an user profile module (908) configured to store user information and preferences for communication and collaboration; anda security module (910) configured to provide secure access to the communication and collaboration tools, ensuring data privacy and confidentiality during interactions.

13. The QR code-based equipment management system as claimed in claim 1, further comprising:a system (1300) for API integration comprises:an open API module (1302) configured to facilitate seamless integration with other enterprise software and management systems, such as Enterprise Resource Planning (ERP) or Computerized Maintenance Management System (CMMS);a data exchange module (1304) configured to streamline the exchange of data between the system and other enterprise software and management systems via the open API;a compatibility module (1306) configured to ensure seamless compatibility and data interoperability between the system and other enterprise software and management systems;a security module (1308) configured to maintain secure access and data encryption during data exchange with other systems;a customization module (1310) configured to allow businesses to tailor the data exchange process to their specific needs and requirements; anda reporting module (1312) configured to generate detailed reports on the data exchange process, enabling businesses to assess the effectiveness of the API integration and identify areas for improvement.

14. The QR code-based equipment management system as claimed in claim 1, further comprises:an user feedback and customization module (116) configured to gather user feedback within the application and allow customization of the interface and functionality based on one or more user preferences; anda reporting and analytics module (122) configured to generate customizable and exportable reports with detailed analytics on equipment usage, maintenance history, and energy consumption.

15. A method for QR code-based equipment management, performed by a system (100), the method comprising:generating a unique QR code for one or more equipment and attaching the printed QR code label to the one or more equipment;storing equipment information comprising at least one of full specifications, parts list, process and instructional manuals, troubleshooting tips, and other relevant data in acentralized database;providing access to the one or more equipment information via a centralized platform, wherein a user scans the QR code on the one or more equipment label using a mobile application on a user device;retrieving (208) equipment information from the database using the mobile application and displaying the equipment information on the mobile application;using (210) the information provided by the mobile application to troubleshoot, diagnose, or perform maintenance on the equipment and updating the equipment information in the database to reflect changes made;wherein the method includes the steps of initiating a remote start of the equipment via a QR code, incorporating biometric scanning for authorized access, implementing a time-delayed start technique to prevent unauthorized starts, and requiring multi-level authentication for engine activation;further comprising training users on the use of the system through interactive, adaptive, and gamified training modules tailored to the user's skill level and progress.

16. The method as claimed in claim 11, further comprising:utilizing an augmented reality (AR) integration to enhance the visualization of equipment maintenance and repair processes, involving capturing video of the equipment using a camera (404) of a mobile device (402), superimposing virtual content including step-by-step instructions, diagrams, and animations onto the video, and displaying this content on the mobile device;employing an AR processor (406) to analyze the captured video and apply machine learning and spatial mapping techniques to recognize equipment types and retrieve the corresponding virtual content from a database (410);configuring the mobile device (402) with specific technologies for optimal AR performance, including advanced processing capabilities, motion tracking sensors, and specialized AR hardware;enhancing the camera (404) software to support AR integration by incorporating image stabilization and low-light performance technologies to ensure clear and stable video capture under varying environmental conditions, thereby enabling effective superimposition of virtual content; andstep-by-step visual instructions for maintenance and repair using 3D models, interactive overlays, and real-time guidance.

17. The method as claimed in claim 11, further comprising:collecting equipment data comprising at least one of temperature, pressure, vibration, operational parameters, error logs, acoustical signatures, and electrical consumption using a data acquisition module (502);cleaning and preparing the collected data for analysis using a data pre-processing module (504), comprising normalization, outlier detection and removal, and feature extraction;training predictive models to forecast one or more equipment failures and maintenance needs using a machine learning module (506), employing regression models, classification models, and clustering techniques, and continuously improving these models through validation, cross-validation, and incorporating ongoing equipment data;incorporating predictive maintenance algorithms, analyze sensor data for anomaly detection, and generate detailed reports on predictive maintenance records;applying the predictive models to current equipment data using a prediction module (508) to assess maintenance needs, with maintenance alerts triggered based on predefined thresholds or predictive scores; andnotifying relevant personnel of predicted maintenance needs through various methods like email, SMS, and in-app notifications via an alert module (510), with alerts customized based on roles, responsibilities, and proximity.

18. The method as claimed in claim 1, further comprising:monitoring equipment performance and operating conditions by capturing data comprising at least one of temperature, pressure, and vibration using one or more sensors (602), with one or more sensors like thermocouples and piezoelectric sensors utilized based on the type of equipment;receiving and processing the captured data through an Internet of Things (loT) platform (604), which ensures that data is analyzed accurately and in real time;providing user access to the processed data through a QR code module (606), enabling quick and convenient access to detailed equipment information;displaying the processed data to users via a user interface (608), allowing users to assess one or more equipment conditions; andmaintaining the accuracy of the sensors (602) through regular calibration against known standards, and recalibrating or replacing any sensors that deviate beyond acceptable limits to ensure reliable data capture.

19. The method as claimed in claim 1, further comprising:providing interactive troubleshooting for equipment through an interactive troubleshooting module (702), involving the generation of step-by-step instructions that are categorized based on common equipment issues and regularly updated to incorporate new information and user feedback;receiving plurality of user inputs comprising at least one of text descriptions, error codes, photos, and voice through a user input module (704), and interpreting these inputs using natural language processing for text, image recognition for photos, and speech recognition for voice to diagnose equipment issues;monitoring the condition of the equipment using an equipment condition monitoring module (706) that focuses on parameters comprising at least one of wear and tear indicators, performance metrics, and error codes, using sensors and data analytics to detect early signs of problems;dynamically adjusting the interactive troubleshooting guide in response to user inputs and condition monitoring information through a dynamic adjustment module (708), utilizing decision trees or Bayesian networks to update the troubleshooting steps accurately;displaying the adjusted troubleshooting guide via a display module (710), enabling users to effectively follow the instructions to resolve equipment issues.

20. The method as claimed in claim 1, further comprising:providing an automated process for ordering equipment parts through a mobile application, involving:enabling users to scan QR codes via a mobile application module (1002) to access and order replacement parts and supplies directly;maintaining a database (1004) with comprehensive details about parts and supplies, including part numbers, pricing, and availability;processing user orders and payments through an ordering module (1006) to ensure efficient transaction handling;generating shipping labels and tracking the delivery status of ordered parts and supplies using a shipping module (1008);integrating a QR code module (1010) with an equipment monitoring module (1012) to allow users to scan QR codes to access equipment information and facilitate the ordering process;storing and utilizing user information, order history, and preferences through a user profile module (1014) to streamline the ordering process, thus minimizing downtime and enhancing overall operational efficiency.

21. The method as claimed in claim 1, further comprising:providing a comprehensive system for training and certification in equipment maintenance and repair, comprising:delivering comprehensive instructions and best practices through a training module (1202) within an app, tailored to enhance user competencies in equipment maintenance and repair, providing users with interactive training comprehensive instructions;administering certification programs via a certification module (1204) that evaluates users based on their performance in the training modules (1202) incorporating gamification techniques;tracking user progress in completing the training and certification programs through a user progress tracking module (1206);collecting and analyzing user feedback on the training and certification experiences using a user feedback module (1208);managing and regularly updating training content through a content management module (1210), ensuring it reflects the latest industry standards and user feedback for accuracy and relevance;engaging users and promoting the significance of ongoing training and certification through a communication module (1212), aimed at motivating improvements in their skills and knowledge;generating and reviewing reports on user progress and performance through a reporting module (1214), allowing businesses to pinpoint areas for improvement and evaluate the effectiveness of the training and certification programs.

22. The method as claimed in claim 1, further comprising:implementing a system for tracking equipment compliance, involving:storing and managing information related to regulatory compliance requirements for the equipment, including safety and environmental regulations, in a compliance database (1502);monitoring and managing regulatory compliance for the equipment using a compliance tracking module (1504), based on the data stored in the compliance database;generating and sending notifications via a compliance notification module (1506) to alert businesses about impending compliance deadlines or instances of non-compliant equipment;creating an audit trail of all compliance-related activities for the equipment using an audit trail module (1508), which facilitates maintaining accurate compliance records for audits or inspections;producing compliance reports through a reporting module (1510) that help businesses track compliance trends and identify potential areas for improvement;ensuring secure access to compliance-related information and activities through a user access control module (1512), safeguarding the privacy and confidentiality of the data.

23. The method as claimed in claim 1, further comprising:implementing a comprehensive system for data security and privacy, comprising:employing an authentication and encryption module (1602) to secure access to the system and data, using advanced encryption methods and authentication protocols to prevent unauthorized access and data breaches;providing multi-factor authentication, blockchain for secure data transactions, and real-time threat detection using artificial intelligence;utilizing a firewall and incident response module (1604) to defend against malware and respond effectively to security incidents, ensuring rapid containment and mitigation of threats;adhering to data security and privacy regulations through a privacy policy and compliance module (1606), which oversees compliance efforts and adapts to changing legal requirements;conducting training and raising awareness about security best practices and potential risks through a training and awareness module (1608), equipping users with the knowledge to protect themselves and the system from cyber threats;monitoring system activities and conducting audits via a monitoring and auditing module (1610) to detect, investigate, and respond to suspicious activities or breaches, ensuring the system’s data integrity and confidentiality.

24. The method as claimed in claim 1, further comprising:implementing a comprehensive system for monitoring and optimizing energy efficiency, comprising:capturing energy consumption data including electrical, mechanical, and thermal from sensors and smart meters attached to the equipment using an energy consumption monitoring module (1702) and monitor energy consumption, providing detailed energy analytics and optimization using artificial intelligence and facilitate energy usage reduction;analyzing the captured data to identify inefficiencies and opportunities for energy savings using regression analysis, machine learning, and anomaly detection techniques via an energy analytics module (1704);displaying analyzed data and insights on an energy dashboard module (1706), enabling users to make informed decisions about energy usage;optimizing equipment energy usage based on the analyzed data and insights through an equipment optimization module (1708), which utilizes predictive analytics and simulation models to propose optimizations, configurable for automation or manual approval;generating detailed reports on energy consumption and savings through a reporting module (1710), helping businesses to track the effectiveness of their energy efficiency strategies;visualizing energy consumption and savings data graphically via a datavisualization module (1712), facilitating easier interpretation and understanding by users;ensuring secure access to the system and its data through a user access control module (1714), maintaining data privacy and confidentiality.

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