CN120954664A

CN120954664A - Cloud-based remote fault diagnosis, repair, and guidance system for medical equipment

Info

Publication number: CN120954664A
Application number: CN202511045782.5A
Authority: CN
Inventors: 李淼; 李炯宏
Original assignee: Changsha Ruiying Medical Equipment Co ltd
Current assignee: Changsha Ruiying Medical Equipment Co ltd
Priority date: 2025-07-29
Filing date: 2025-07-29
Publication date: 2025-11-14

Abstract

The invention discloses a cloud platform-based remote fault diagnosis maintenance and guidance system for medical equipment. In the invention, the deep reconstruction of the maintenance ecology of the medical equipment is realized by constructing the digital service network covering the whole process. The AR cooperation platform at the maintenance engineer end and the real-time data intercommunication at the hospital end break the space-time limit of technical support in the traditional maintenance mode, so that a remote expert can directly participate in on-site fault diagnosis, and the first-time repair rate is greatly improved by matching with the historical maintenance archives and fault tree analysis provided by the intelligent work order system. The intelligent dispatch algorithm of the management background is combined with the order-taking mechanism of the mobile terminal, so that the geographic distribution efficiency of engineer resources is optimized, accurate butt joint is realized through skill label matching, the problem of industrial pain caused by scarce maintenance resources of special equipment is solved, systematic improvement is brought to operation and maintenance management of medical equipment by modularized design and data interconnection characteristics, and the fine control of equipment management cost and the continuous improvement of service quality are realized.

Description

Medical equipment remote fault diagnosis maintenance and guidance system based on cloud platform

Technical Field

The invention belongs to the technical field of medical equipment, and particularly relates to a cloud platform-based remote fault diagnosis maintenance and guidance system for medical equipment.

Background

The remote fault diagnosis of the medical equipment is a technical system for remotely monitoring, analyzing and diagnosing the operation state of the medical equipment by an information technology means. The method is based on advanced technologies such as Internet of things, cloud computing, big data analysis, artificial intelligence and the like, and realizes real-time acquisition, transmission and intelligent processing of operation data of medical equipment, so that potential faults or abnormal conditions of the equipment are rapidly identified, and corresponding maintenance suggestions or early warning information are provided. The technology is widely applied to hospitals, medical instrument manufacturers and maintenance service institutions, and is beneficial to improving equipment maintenance efficiency, reducing downtime, guaranteeing medical service continuity and reducing site inspection cost and manpower dependence. The remote fault diagnosis system generally comprises a device end sensor, a communication network, a data analysis platform, a user management interface and other core modules, has the functions of fault prediction, remote control, data visualization and the like, is an important supporting technology for promoting intelligent and digital operation and maintenance of medical equipment, and is an important component for realizing an intelligent medical system.

However, the prior art has the problems of lag fault response and low efficiency of resource scheduling, the traditional maintenance mode relies on manual dispatch to cause low matching degree of engineer skill and equipment requirement, and lacks of real-time data intercommunication and remote cooperation tools, so that the condition that repeated door-up or technical support is not timely occurs frequently, meanwhile, equipment maintenance records are scattered in each system, full life cycle files are difficult to form, preventive maintenance is difficult to land, and service quality evaluation lacks objective basis due to opaque information.

Disclosure of Invention

The invention aims to solve the problems and provide a cloud platform-based remote fault diagnosis maintenance and guidance system for medical equipment.

The technical scheme adopted by the invention is that the remote fault diagnosis maintenance and guidance system for medical equipment based on a cloud platform comprises a maintenance engineer end, a hospital/manufacturer mechanism end, a management background end, a public display demand front end and a maintenance mobile end;

and the user and the authority management module at the management background end are respectively connected with an account number and qualification management at the maintenance engineer end, a demand release and management at the hospital/manufacturer organization end and an interactive service center at the front end of public display demand.

The service execution tool module at the maintenance engineer end is in real-time interconnection with the cooperation and communication module at the hospital/manufacturer institution end through an AR cooperation function, and the settlement and evaluation module at the maintenance engineer end is in data synchronization with the data statistics and analysis module at the management background end and the data analysis module at the hospital/manufacturer institution end.

The searching and navigation system module at the front end of the public display demand is respectively linked with the system configuration and operation module at the management background end and the resource management module at the hospital/manufacturer institution end, and the information display area module at the front end of the public display demand calls the data statistics and analysis module at the management background end through an interface so as to display real-time service data.

The service execution tool module of the maintenance mobile terminal is in data intercommunication with the same-name module of the maintenance engineer terminal, and the settlement and evaluation module of the maintenance mobile terminal is synchronously connected with the settlement system of the management background terminal and the evaluation feedback channel of the hospital/manufacturer institution terminal.

In a preferred embodiment, the maintenance engineer end is internally provided with:

And the account number and qualification management module is used for constructing a core framework of an engineer professional identity system and realizing full-period management from basic information input to professional skill verification through a hierarchical authentication flow.

And the order taking system integrates an intelligent allocation and autonomous selection dual mechanism. The intelligent dispatch engine accurately interfaces maintenance requirements with engineers and expertise based on geographic location services and skill matching algorithms.

And the service execution module is internally provided with an integrated digital tool, so that the field operation efficiency is improved. The intelligent work order system automatically retrieves the equipment history file and the fault diagnosis tree, and provides standardized maintenance guidance for engineers.

And the settlement and evaluation module is internally provided with service reward accounting and quality feedback closed-loop management. The dynamic billing system automatically calculates engineer income according to the preset proportion of the basic service fee and the additional service fee, and distinguishes the reward standard of the conventional maintenance and emergency tasks.

In a preferred embodiment, the hospital/vendor institution end is internally provided with:

And the demand issuing and managing module is internally provided with a maintenance demand reporting and tracking tool.

And the resource management module is internally provided with a function module for integrating equipment information accessory management and service resource allocation.

and the data analysis module is internally provided with three functions of cost analysis equipment evaluation and service provider management.

And a manufacturer exclusive functional module, wherein a cost simulator is arranged in the module, and the input equipment is used for maintaining the quantity fault rate parameters.

In a preferred embodiment, the management backend is internally provided with:

and the user and authority management module is internally provided with a full-role identity authentication and authorization system, so that the fine management of the life cycle of the user is realized.

The order scheduling center module is internally provided with order dispatching strategy configuration, exception handling and resource scheduling optimization functions.

The order scheduling center module firstly collects basic data such as equipment type, fault level, geographical position and the like of hospital report and repair orders in real time, and establishes a dynamic matching model by combining a skill label library of engineers, historical service scores, current position coordinates and work order load states. The system innovatively introduces space-time weight factors, when a Critical emergency order is received, an algorithm can automatically expand the geographic search radius and improve the skill matching precision, and pre-judgment area work order density peaks are analyzed through thermodynamic diagrams, and pre-order receiving reminding is pushed to potential idle engineers 30 minutes in advance. For a conventional order, an improved Hungary algorithm is adopted to optimize an engineer-order matching matrix, and on the premise of meeting the skill requirement, engineers with nearest distances and highest repair rates of historical equipment with the same model are preferentially allocated, and meanwhile, a load balancing mechanism is embedded, so that the daily pick-up quantity of a single engineer is prevented from exceeding 8 single threshold values. The abnormal order processing submodule automatically triggers a resource scheduling chain by setting three-level early warning threshold values, such as a primary early warning pushing peer engineers to rob a single pool, a middle early warning linkage area standby engineer library, and a high early warning directly interfaces with a manufacturer technical support special line to form a closed loop type abnormal processing mechanism, wherein a comprehensive proper matching degree scoring formula of engineers is as follows:

wherein:

s represents the comprehensive fitness score of the engineer for a specific order;

M represents the skill matching coefficient value range 0-1 and is calculated by the coincidence degree of the skill label of the engineer and the order requirement;

D is a linear distance unit kilometer between the current position of the engineer and the repair site, P is an average service score value range of 1-5 minutes for 3 months;

e is the order emergency degree weight regular order 1.0 emergency order 1.5 special order 2.0;

αβγδ is a weight coefficient system default value for each dimension, and α=0.4β=0.3γ=0.2δ=0.1.

In a preferred embodiment, the management backend is internally provided with:

And the data statistics and analysis module is internally provided with a full-dimension business data monitoring system, and visual analysis support is provided for operation decision.

And the system configuration and operation and maintenance module is internally provided with platform basic parameter configuration and technical support functions, so that stable operation and flexible expansion of the system are ensured.

In a preferred embodiment, the public display requirement front end is internally provided with:

and the home page module is internally provided with a core window for outward display, and integrates brand image display, service entrance navigation and real-time data visualization functions.

And the information display area module is internally provided with an open sharing platform of industry knowledge and service resources, and comprises a case library, an information center and an engineer display three plates.

And the searching and navigation system module is internally provided with an intelligent information searching and service guiding tool, so that the efficiency of acquiring resources by a user is improved.

The interactive service center module is internally provided with an interactive platform for user participation and experience optimization and comprises online consultation, opinion feedback and activity participation functions.

In a preferred embodiment, the maintenance mobile terminal is internally provided with:

And the account number and qualification management module is internally provided with an engineer mobile identity management system which supports qualification verification and professional file maintenance functions.

And the order taking system module is internally provided with a task acquisition and management tool of a mobile scene, and integrates intelligent pushing, order robbing and task planning functions.

And the service execution tool module is internally provided with a full-flow auxiliary function module which comprises work order management, technical support and resource scheduling tools.

And the settlement and evaluation module is internally provided with mobile management of service reward accounting and feedback interaction, and comprises income management, evaluation processing and data query functions.

In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:

1. In the invention, the deep reconstruction of the maintenance ecology of the medical equipment is realized by constructing the digital service network covering the whole process. The AR cooperation platform at the maintenance engineer end and the real-time data intercommunication at the hospital end break the space-time limit of technical support in the traditional maintenance mode, so that a remote expert can directly participate in on-site fault diagnosis, and the first-time repair rate is greatly improved by matching with the historical maintenance archives and fault tree analysis provided by the intelligent work order system. The intelligent dispatch algorithm of the management background is combined with the order-taking mechanism of the mobile terminal, so that the geographic distribution efficiency of engineer resources is optimized, the accurate butt joint of 'man-machine-skill' is realized through skill label matching, and the problem of industry pain caused by scarce maintenance resources of special equipment is effectively solved.

2. In the invention, the modularized design and the data interconnection characteristic bring systematic promotion to the operation and maintenance management of the medical equipment. The holographic file of the equipment at the hospital end is in seamless butt joint with the accessory circulation platform at the manufacturer end, so that the whole process tracing from fault repair to accessory replacement is realized, and the preventive maintenance is changed from passive response to active early warning by matching with the equipment health report generated by the data analysis module. The case knowledge base at the front end of the public display and the engineer training module form a knowledge closed loop, individual maintenance experience is converted into platform shared resources, a transparent service evaluation system and a settlement system construct a multiparty trust mechanism, maintenance service is promoted to be delivered from a single technology to full life cycle value service transformation, and finally, the power-assisted medical institution realizes the refined control of equipment management cost and the continuous improvement of service quality.

Drawings

Fig. 1 is an overall system block diagram of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

Referring to fig. 1, a remote fault diagnosis maintenance and guidance system for medical equipment based on a cloud platform comprises a maintenance engineer end, a hospital/manufacturer organization end, a management background end, a public display demand front end and a maintenance mobile end;

The user and authority management module of the management background end are respectively connected with the account number and qualification management of the maintenance engineer end, the demand release and management of the hospital/manufacturer organization end and the interactive service center of the public display demand front end.

The inside of maintenance engineer's end is provided with:

account number and qualification management module:

The module builds a core framework of an engineer professional identity system, and realizes full-period management from basic information input to professional skill verification through a hierarchical authentication flow. The system sets three-level authentication standards, which correspond to verification of validity of the basic information authenticity verification skill certificate and evaluation of actual operation capability respectively, and ensure that the quality of engineers accords with the industry standard. The dynamic label system automatically generates multidimensional labels such as equipment type technical grade service radius and the like according to maintenance records, and the training archives integrate the online course learning record real-operation assessment results and the certificate validity management functions to form a complete professional development archive.

Order taking system:

As the main entry for the engineer to get the task, the module merges the intelligent allocation and autonomous selection dual mechanisms. The intelligent dispatch engine accurately interfaces the maintenance requirement with the engineer based on the geographic position service and the skill matching algorithm, and the emergency dispatch hall adopts a visual map interface and cooperates with screening conditions such as equipment type emergency compensation range and the like to enable the engineer to select a proper order independently. The order bulletin board displays task state progress nodes and reward details in real time, and task priorities are distinguished through color coding, so that engineers are helped to plan a workflow efficiently.

The inside of maintenance engineer's end is provided with:

The service execution module:

Technical support and resource scheduling in the focusing maintenance process are realized, and the module integrates the digital chemical industry to improve the field operation efficiency. The AR collaboration platform supports a real-time labeling function, allows a remote expert to add an indication mark in a video picture, and realizes immediate technical support in cooperation with screen sharing. The accessory quick-matching system links a central inventory and regional logistics network, provides accessory availability query distribution track tracking and signing confirmation functions, and ensures that maintenance resources are in place in time.

Settlement and evaluation module:

And constructing a fair and transparent value exchange system, and realizing service reward accounting and quality feedback closed-loop management by the module. The dynamic billing system automatically calculates engineer income according to the preset proportion of the basic service fee and the additional service fee, and distinguishes the reward standard of the conventional maintenance and emergency tasks. The bi-directional assessment mechanism allows engineers to score hospital compliance equipment conditions while receiving assessment feedback of the service object's speed of response to skill level. The income analysis center provides the functions of automatically calculating and presenting the tax amount of the visual report, and helps engineers manage personal finance.

The inside of the hospital/manufacturer institution end is provided with:

The demand release and management module:

The module provides a convenient maintenance requirement reporting and tracking tool for a mechanism user, and the core functions comprise an intelligent report-repair platform emergency response mechanism and maintenance progress monitoring. The intelligent repair report table supports the automatic calling of basic information such as model parameter acquisition date and the like through the unique identification of the equipment, realizes standardized repair report description in cooperation with the fault phenomenon selector, can trigger emergency service of 4 hours to arrive at the scene by one key, and automatically starts a cost overflow mechanism. The maintenance cockpit displays the task progress in a Gantt graph mode, integrates the functions of real-time positioning and historical maintenance record inquiring of engineers, and realizes the whole-flow visual management.

And a resource management module:

A digital archive system is built around the whole life cycle management of the equipment, and equipment information accessory management and service resource allocation functions are integrated. The device holographic file records complete life cycle data from installation and debugging to scrapping treatment, a built-in maintenance calendar automatically pushes preventive maintenance reminding, a VIP green channel sets priority identification for key devices, and a dedicated customer service and quick response team are equipped to ensure core service continuity. The accessory traceability system realizes new and old accessory identification through unique codes, records replacement history and quality guarantee period limit, and supports classification management of original factory parts and authentication substitutes.

The inside of the hospital/manufacturer institution end is provided with:

and a data analysis module:

And providing operation and maintenance decision support for the institutions through multidimensional data modeling, wherein the operation and maintenance decision support comprises three functions of cost analysis equipment evaluation and service provider management. The cost analysis center counts maintenance expenditure according to the dimensionalities such as equipment type department attribution, generates a comparison ring ratio analysis chart and sets a budget early warning threshold value, and the equipment health evaluation model synthesizes parameters such as the frequency of faults, the maintenance cost, the residual life and the like, and outputs maintenance or scrapping decision suggestions. The service provider portrait system generates engineer ranking based on indexes such as response aging technology capability satisfaction and the like, and provides data basis for the organization to select high-quality service resources.

Vendor specific functional module:

And aiming at the customized module required to be developed by the equipment manufacturer, optimizing fitting circulation and brand popularization by focusing on cost. The cost simulator predicts the cost saving rate and the return on investment period after the platform service is adopted by the parameters such as the quantity fault rate and the like of the input equipment, and the accessory circulation platform integrates the second-hand member detection authentication transaction tracking function to realize the resource utilization of idle accessories. The brand exhibition hall provides white book downloading and successful case exhibition space for product parameter query technology, and supports manufacturers to release up-to-date policies and to hold online product recommendation activities.

The inside of management backstage end is provided with:

User and rights management module:

And constructing an identity authentication and authorization system covering the whole roles, and realizing the fine management of the life cycle of the user. The role management module presets basic roles such as engineers, hospital administrators, manufacturer representatives and the like, supports custom role creation and authority item combination, and forms a matrix authority framework. The qualification checking system integrates an OCR recognition technology, automatically extracts key information such as an identity card, a qualification certificate and the like, performs true and false checking, and provides a difference marking and checking opinion recording function in a manual checking link. The account security center monitors abnormal login behavior, sets password strength requirements and periodic replacement reminding, supports temporary freezing and thawing operations of the account, and ensures that the system accesses security compliance.

Order dispatch center module:

And as an intelligent matching hub of the service resources, integrating the functions of dispatch strategy configuration, exception handling and resource scheduling optimization. The dispatch algorithm configuration platform allows an administrator to adjust parameters such as skill matching weights, geofence ranges and the like, and supports setting different dispatch rules according to areas, such as a remote area priority dispatch mechanism. The abnormal order processing module automatically identifies abnormal conditions such as overtime non-order taking, user cancellation and the like, triggers a grading early warning mechanism, pushes a manual intervention task list and forms an operation log by making traces in the whole processing process. The resource thermodynamic diagram displays the order quantity and the on-line state of engineers in all regions of the country in real time, supports manual drag type scheduling, and balances the service pressure of the regions.

Firstly, basic data such as equipment type, fault level, geographical position and the like of a hospital report order are collected in real time, and a dynamic matching model is established by combining a skill tag library (such as subdivision field authentication such as CT machine maintenance and ultrasonic equipment calibration) of engineers, historical service scores, current position coordinates and work order load states. The system innovatively introduces space-time weight factors, when a Critical emergency order is received, an algorithm can automatically expand the geographic search radius and improve the skill matching precision, and pre-judgment area work order density peaks are analyzed through thermodynamic diagrams, and pre-order receiving reminding is pushed to potential idle engineers 30 minutes in advance. For a conventional order, an improved Hungary algorithm is adopted to optimize an engineer-order matching matrix, and on the premise of meeting the skill requirement, engineers with nearest distances and highest repair rates of historical equipment with the same model are preferentially allocated, and meanwhile, a load balancing mechanism is embedded, so that the daily pick-up quantity of a single engineer is prevented from exceeding 8 single threshold values. The abnormal order processing submodule automatically triggers a resource scheduling chain by setting three-level early warning thresholds (overtime for receiving orders for 15 minutes, overtime for arriving at the scene for 30 minutes and overtime for maintaining for 2 hours), such as a primary early warning pushing peer engineers to rob a single pool, a middle early warning linkage area standby engineer library, and a high early warning directly interfacing with a manufacturer technical support special line to form a closed-loop abnormal processing mechanism, wherein a comprehensive proper allocation scoring formula of the engineers is as follows:

wherein:

The inside of management backstage end is provided with:

And a data statistics and analysis module:

And constructing a full-dimension business data monitoring system, and providing visual analysis support for operation decisions. The core index instrument panel displays key KPIs such as order total amount, average response time, user satisfaction and the like in real time, and supports switching and viewing according to the time dimension of day, week, month and the like. The user-defined report tool provides multi-dimensional data screening and cross analysis functions, and a user can save a common report template and set an automatic pushing period. The data drill-down functionality allows for layer-by-layer drill-down from summarized data to detail records, such as maintenance records from national order volume drill-down to specific hospitals, specific facilities, helping to find business bottlenecks.

System configuration and operation module:

The platform basic parameter configuration and the technical support function are provided, and the stable operation and flexible expansion of the system are ensured. The dynamic parameter management module allows an administrator to adjust service parameters such as service rate, dispatch radius, settlement period and the like, automatically archives change records and supports version rollback. Standard templates such as repair notification, service reminding and the like are preset in a message template factory, self-defined short messages, mail content and triggering rules are supported, and notification requirements of different scenes are met. The system monitoring center monitors technical indexes such as server load, interface call success rate and the like in real time, sets a threshold alarm mechanism, and is matched with a log analysis tool to rapidly locate fault reasons so as to ensure continuous and stable operation of the platform.

The inside of public show demand front end is provided with:

The home page module:

as a core window for external display of the platform, the brand image display, service entrance navigation and real-time data visualization functions are integrated. The brand value display area adopts a dynamic image-text combination mode, and the platform core advantage is highlighted through the service flow of 'quick response-accurate matching-professional maintenance' of the micro-motion picture demonstration. The character navigation matrix sets three entrances of a hospital, an engineer and a manufacturer, each entrance is provided with a functional scene icon and a short description, and one-key jump to a corresponding service page is supported. The real-time service data board displays the national service coverage city number, the today order completion amount and the average response time length in a dynamic chart form, and the visual cognition of a user on the platform service capability is enhanced.

Information display area module:

An open sharing platform of industry knowledge and service resources is constructed, and the open sharing platform comprises a case library, an information center and an engineer display. The repair case library is indexed by equipment type and fault phenomenon classification, and each case contains fault description, diagnostic procedures and solutions, part of complex case preparation step disassembly diagrams and key component identifications. The industry dynamic special column periodically publishes medical instrument maintenance policy interpretation, technical standard updating and leading edge maintenance technical articles, and supports keyword retrieval and subscription push service. The engineer wind collection display area adopts a card type design to display professional fields, service scores and typical cases of authentication engineers, and a user can screen and view detailed information according to equipment types.

The inside of public show demand front end is provided with:

search and navigation system module:

And an intelligent information retrieval and service guiding tool is provided, so that the efficiency of acquiring resources by a user is improved. The semantic search function supports fuzzy query and synonym recognition, and if a 'CT machine error reporting code' is input, related fault solutions can be automatically associated, and search results are ranked according to relevance and timeliness. The service site map integrates geographic location service, displays surrounding engineer distribution and service coverage, supports screening according to conditions such as distance, score and the like, and initiates online consultation. The intelligent help robot guides the user to solve common problems by self through question and answer interaction, automatically switches over manual customer service when the user cannot answer, and automatically synchronizes customer service dialogue records to a background knowledge base.

The interactive service center module:

An interactive platform for user participation and experience optimization is created, and the interactive platform comprises online consultation, opinion feedback and activity participation functions. The instant consultation system supports various communication modes of characters, pictures and voices, is connected with the cooperative service of the artificial customer service and the intelligent robot, and the consultation history is automatically stored to facilitate subsequent inquiry. The user feedback module provides service evaluation and function suggestion entrance, the evaluation result is directly related with engineer performance, and the suggestion adoption condition is fed back in real time through system information. The marketing activity special area issues platform preferential policy, skill training and industry seminar information, and users can register online to participate in and share activity contents to form a benign interaction propagation mechanism.

The inside of maintenance mobile terminal is provided with:

account number and qualification management module:

and constructing an engineer mobile identity management system, and supporting a qualification verification and occupation file maintenance function. The certificate management module supports photographing and uploading qualification certificates, the system automatically extracts the validity period and sets expiration reminding, and the certificate state is synchronized to the management background in real time. The skill label system adopts a drag type operation interface, an engineer can automatically add or remove the professional field label, label change is required to be validated through background examination, the training center provides video courses and online examination functions, the learning progress is automatically recorded and skill authentication is associated, and the engineer is helped to continuously improve professional ability.

Order taking system module:

And a task acquisition and management tool adapting to the mobile scene integrates intelligent pushing, order robbing and task planning functions. The order pushing center intelligently matches proper maintenance tasks according to engineer skill labels and geographic positions, and a new order is reminded through vibration and voice broadcasting dual, so that timely response is ensured. The emergency bill hall displays nearby orders in a list and map double-view mode, marks critical information of task emergency degree, payment amount and equipment model, and supports one-key emergency bill and task collection. The schedule management module automatically integrates the received single tasks, generates a daily/weekly work plan, supports manual adjustment of task sequence and route planning, and synchronously pushes departure reminding and traffic navigation advice.

Service execution tool module:

And the whole flow auxiliary function of the on-site maintenance is focused, and work order management, technical support and resource scheduling tools are integrated. The electronic work order system displays equipment fault description, historical maintenance records and expected solutions, supports offline viewing and state updating, and generates an electronic signature confirmation page after maintenance is completed. AR remote assistance is used for transmitting on-site pictures in real time through a mobile phone camera, expert end labeling and voice guidance are supported, and pictures can be intercepted in key steps and saved to a work order accessory. The accessory application module links the central inventory system, inquires about accessory availability and distribution timeliness, supports emergency transfer application, and automatically associates the accessory with a corresponding work order for verification after the accessory is signed.

Settlement and evaluation module:

The mobile management of service reward accounting and feedback interaction is realized, and the mobile management comprises income management, evaluation processing and data query functions. The income detail module displays the basic payment, the urgent subsidy and the additional service fee of each order in real time, automatically calculates the tax amount and the extractable amount, binds a plurality of bank cards by the cash-in management support, displays the auditing progress in real time after the application is submitted, and pushes the account-in information in real time. The bidirectional evaluation system allows engineers to score the hospital coordination degree, receives evaluation feedback of the service quality from users, and correlates the evaluation result with personal credit, and the data center provides income trend graphs, task completion amount statistics and skill label heat analysis to support the viewing of performance according to month and quarter.

From the above, it can be seen that:

In the invention, the deep reconstruction of the maintenance ecology of the medical equipment is realized by constructing the digital service network covering the whole process. The AR cooperation platform at the maintenance engineer end and the real-time data intercommunication at the hospital end break the space-time limit of technical support in the traditional maintenance mode, so that a remote expert can directly participate in on-site fault diagnosis, and the first-time repair rate is greatly improved by matching with the historical maintenance archives and fault tree analysis provided by the intelligent work order system. The intelligent dispatch algorithm of the management background is combined with the order-taking mechanism of the mobile terminal, so that the geographic distribution efficiency of engineer resources is optimized, the accurate butt joint of 'man-machine-skill' is realized through skill label matching, and the problem of industry pain caused by scarce maintenance resources of special equipment is effectively solved.

In the invention, the modularized design and the data interconnection characteristic bring systematic promotion to the operation and maintenance management of the medical equipment. The holographic file of the equipment at the hospital end is in seamless butt joint with the accessory circulation platform at the manufacturer end, so that the whole process tracing from fault repair to accessory replacement is realized, and the preventive maintenance is changed from passive response to active early warning by matching with the equipment health report generated by the data analysis module. The case knowledge base at the front end of the public display and the engineer training module form a knowledge closed loop, individual maintenance experience is converted into platform shared resources, a transparent service evaluation system and a settlement system construct a multiparty trust mechanism, maintenance service is promoted to be delivered from a single technology to full life cycle value service transformation, and finally, the power-assisted medical institution realizes the refined control of equipment management cost and the continuous improvement of service quality.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

The foregoing embodiments are merely for illustrating the technical solution of the present invention, but not for limiting the same, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that modifications may be made to the technical solution described in the foregoing embodiments or equivalents may be substituted for parts of the technical features thereof, and that such modifications or substitutions do not depart from the spirit and scope of the technical solution of the embodiments of the present invention in essence.

Claims

1. A cloud-based remote fault diagnosis, repair, and guidance system for medical equipment, characterized in that: the system includes: a repair engineer terminal, a hospital/manufacturer terminal, a management backend terminal, a public display demand frontend, and a repair mobile terminal;

The user and permission management module of the management backend is connected to the account and qualification management of the maintenance engineer, the demand release and management of the hospital/manufacturer, and the interactive service center of the public display demand frontend.

The service execution tool module on the maintenance engineer's end is interconnected in real time with the collaboration and communication module on the hospital/manufacturer's end through the AR collaboration function; the settlement and evaluation module on the maintenance engineer's end is synchronized with the data statistics and analysis module on the management backend and the data analysis module on the hospital/manufacturer's end.

The search and navigation system module of the public display demand front end is linked to the system configuration and operation and maintenance module of the management back end and the resource management module of the hospital/manufacturer institution. The information display area module of the public display demand front end calls the data statistics and analysis module of the management back end through the interface to display real-time service data.

The service execution tool module of the mobile repair terminal communicates with the corresponding module on the repair engineer's terminal, while the settlement and evaluation module of the mobile repair terminal is synchronously connected to the settlement system on the management back-end and the evaluation feedback channel on the hospital/manufacturer's terminal.

2. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the internal components of the repair engineer's terminal include:

Account and Qualification Management Module: This module constructs the core framework of the engineer professional identity system and realizes full-cycle management from basic information entry to professional skills verification through a hierarchical authentication process;

Order processing system: It integrates intelligent allocation and autonomous selection mechanisms; the intelligent dispatch engine is based on geolocation services and skill matching algorithms to accurately match repair needs with engineers' expertise.

3. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the internal components of the repair engineer's terminal include:

Service Execution Module: The module is equipped with integrated digital tools to improve on-site operation efficiency; the intelligent work order system automatically retrieves equipment historical records and fault diagnosis trees to provide engineers with standardized maintenance guidance;

Settlement and Evaluation Module: The module has internal settings for service fee calculation and quality feedback closed-loop management; the dynamic revenue sharing system automatically calculates the engineer's income based on the preset ratio of basic service fee and additional service fee, and distinguishes the remuneration standards for routine maintenance and emergency tasks.

4. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the internal setup of the hospital/manufacturer's terminal includes:

Request posting and management module: This module includes tools for submitting and tracking maintenance requests.

Resource Management Module: This module includes functions for integrating equipment information, parts management, and service resource allocation.

5. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the internal components of the hospital/manufacturer's terminal are configured with:

Data Analysis Module: The module has three main functions: cost analysis, equipment evaluation, and service provider management.

Manufacturer-specific function module: The module has a cost simulator built in, which is used to input parameters such as the number of devices in use and the failure rate.

6. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the management backend is internally configured with:

User and Permission Management Module: The module has an internal identity authentication and authorization system for all roles, enabling refined management of the user lifecycle;

Order Dispatch Center Module: The module has internal settings for order dispatch strategy configuration, exception handling, and resource scheduling optimization functions;

The order dispatch center module first collects basic data such as equipment type, fault level, and geographical location of hospital-reported revision orders in real time. Combined with the engineer's skill tag library, historical service ratings, current location coordinates, and work order load status, a dynamic matching model is established. The system innovatively introduces a spatiotemporal weight factor. When a critical-level emergency order is received, the algorithm automatically expands the geographical search radius and improves skill matching accuracy. Heatmap analysis predicts the peak density of work orders in a region, sending pre-acceptance reminders to potentially available engineers 30 minutes in advance. For regular orders, an improved Hungarian algorithm optimizes the engineer-order matching matrix. Under the premise of meeting skill requirements, it prioritizes assigning engineers who are closest and have the highest historical repair rate for the same equipment model. A load balancing mechanism is also embedded to prevent a single engineer from exceeding the daily order threshold of 8 orders. The abnormal order processing submodule automatically triggers a resource scheduling chain by setting three levels of warning thresholds. For example, a primary warning pushes the order-grabbing pool of engineers at the same level; a secondary warning links to the regional backup engineer pool; and a high-level warning directly connects to the manufacturer's technical support line, forming a closed-loop abnormal handling mechanism. The engineer's comprehensive suitability scoring formula is as follows:

in:

S represents the engineer's overall fit score for a specific order;

M represents the skill matching coefficient, ranging from 0 to 1, calculated based on the overlap between the engineer's skill tags and order requirements.

D is the straight-line distance between the engineer's current location and the repair location, in kilometers; P is the engineer's average service rating over the past 3 months, ranging from 1 to 5 points.

E represents the weight of order urgency: Regular orders 1.0, Urgent orders 1.5, Special orders 2.0;

α, β, γ, and δ are the system default values for the weight coefficients of each dimension, respectively: α = 0.4, β = 0.3, γ = 0.2, and δ = 0.1.

7. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the management backend is internally configured with:

Data Statistics and Analysis Module: The module has a comprehensive business data monitoring system to provide visual analysis support for operational decision-making;

System Configuration and Maintenance Module: This module has built-in platform basic parameter configuration and technical support functions to ensure stable system operation and flexible expansion.

8. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the public display demand front-end is internally configured with:

Homepage module: The module has a core window for external display, integrating brand image display, service entry navigation and real-time data visualization functions;

Information Display Area Module: This module features an open and shared platform for industry knowledge and service resources, comprising three main sections: a case study library, an information center, and an engineer showcase.

9. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the public display demand front-end is internally configured with:

Search and Navigation System Module: This module is equipped with intelligent information retrieval and service guidance tools to improve the efficiency of users in obtaining resources;

Interactive Service Center Module: This module features an interactive platform for user participation and experience optimization, including online consultation, feedback, and activity participation functions.

10. The cloud-based remote fault diagnosis, repair, and guidance system for medical equipment as described in claim 1, characterized in that: the mobile repair terminal is internally equipped with:

Account and Qualification Management Module: The module has an internal engineer mobile identity management system that supports qualification verification and professional file maintenance.

Order receiving system module: The module has built-in task acquisition and management tools for mobile scenarios, integrating intelligent push, order grabbing and task planning functions;

Service Execution Tool Module: This module includes full-process auxiliary functions, such as work order management, technical support, and resource scheduling tools.

Settlement and Evaluation Module: The module has a mobile management system for service remuneration calculation and feedback interaction, including revenue management, evaluation processing and data query functions.