GB2550223A - Method of Analyzing Diagnostic Results from New Renewable Energy Equipment Units, and an Apparatus thereof - Google Patents

Method of Analyzing Diagnostic Results from New Renewable Energy Equipment Units, and an Apparatus thereof Download PDF

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Publication number
GB2550223A
GB2550223A GB1610944.9A GB201610944A GB2550223A GB 2550223 A GB2550223 A GB 2550223A GB 201610944 A GB201610944 A GB 201610944A GB 2550223 A GB2550223 A GB 2550223A
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Prior art keywords
information
inspection
failure
renewable energy
results
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GB1610944.9A
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GB201610944D0 (en
Inventor
Shin Won
Kim Younghwan
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Romax Technology Ltd
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Romax Technology Ltd
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Publication of GB2550223A publication Critical patent/GB2550223A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267Fault communication, e.g. human machine interface [HMI]
    • G05B23/0272Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/82Energy audits or management systems therefor
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

Abstract

A method of analysing diagnostic results from new renewable energy equipment, where the method comprises; generating work plans and sending them to the mobile devices of workers; receiving repair results and inspection results information in return, which includes information about components which have failed (failure items); generating repair and inspection results based on the received information; analysing and extracting the information about failure items in the reports; saving changes to diagnostic content on failure items which is used to update information in the work plans about that renewable energy equipment. Also claimed is an apparatus comprising a work plan generation module, a control module, a report generation module and an analysis module that perform the same method. The repair results information may include specific causes, severity levels, worker comments and how to respond to the failure items. This information may be classified into tables where repair instruction information can be generated. The diagnostic content changes may include changes on whether inspections are mandatory, inspection priorities and inspection schedule information.

Description

Method of Analyzing Diagnostic Results from New Renewable Energy Equipment Units, and an Apparatus
Thereof
Technical Field
The present invention relates to a method of analyzing diagnostic results from new renewable energy equipment units, and an apparatus thereof, and specifically, relates to a method of analyzing diagnostic results from new renewable energy equipment units, and the apparatus thereof, wherein thousands of issues discovered on-site are normalized so that they can be searched and analyzed by priority level, equipment unit, failure mode and the like to integrate the management of all kinds of maintenance and repair information.
Background Art
With growth in the installed base of power generation equipment units using new types of environmentally friendly renewable energy, such as wind power electric generators and solar power electric generators, in order to deal with the issues of depleting energy resources and environmental pollution, there is also increasing demand for continuous maintenance, repair and inspection of these new renewable energy equipment units to ensure their stability and reliability.
Ordinarily, the management of new renewable energy equipment units is carried out by workers performing on-site diagnostic and maintenance work, with these workers filling out the inspection items and other detailed information manually before and after carrying out the work and taking and saving photos of the work process with mobile phones and other devices, before transferring this information to reports prepared after returning to the office.
However, though work plans are provided to workers for this diagnostic work, the amount of information input about each inspection item varies depending on the skill levels of the workers, so that it is not easy to maintain a diagnostic quality level above a certain level.
Also, if inspection items are omitted or errors made when filling out the diagnostic results so that it is not possible to complete diagnostic work that meets the inspection standards, the worker must revisit the site and this reduces the efficiency of the diagnostic work.
At the same time, when assessing failures while performing diagnostic work on specific equipment, determinations of the specific causes and severity levels of those failures, as well as the methods of dealing with them, must depend absolutely on the performance of the on-site workers, and this has the problem of making it impossible to ensure reliability in the maintenance and repair process, as well as in the performance of maintenance and repair work at a uniform level, because the causes of and measures taken for failures varies depending on the skill level of each worker.
Furthermore, the expressions of each worker regarding the content and issues reported about each failure mode differ so that collecting this information is not only difficult, but it is also impossible to search and analyze thousands of such issues to achieve an integrated maintenance and repair management system, and this limits inspection efficiency improvements.
Literature of the Prior Art
Patent Literature (Patent Document 0001) Patent registration #10-1044264 (Republic of Korea)
Disclosure of Invention
Problems to be Solved
Therefore, an objective of the present invention is to provide a method of analyzing diagnostic results from new renewable energy equipment, and the apparatus thereof, wherein by normalizing thousands of issues discovered on-site, it is possible to search and analyze by priority, equipment and failure mode in order to manage all kinds of maintenance and repair information in an integrated way.
Also, another objective of the present invention is to provide a method of analyzing diagnostic results from new renewable energy equipment, and the apparatus thereof, wherein the results of analyzing causes of failures of and ways of responding to each inspection item are categorized and provided additionally in the work plans so that it is possible to perform optimized maintenance and repair work regardless of the skill levels of workers on-site, so as to improve work precision and save work time.
Also, another objective of the present invention is to provide a method of analyzing diagnostic results from new renewable energy equipment, and the apparatus thereof, wherein know-how about the causes and ways of resolving the failure modes of each equipment unit are collected so as to reduce the management barriers to entry from using new power generation equipment and to reach an optimal management level within a minimum of time.
Means of Solving the Problems
Based on one embodiment of the present invention, the above objectives are achieved using an apparatus for analyzing diagnostic results from new renewable energy equipment units comprising a database on which technical information about the new renewable energy equipment units is saved; a work plan generation module that generates work plans in which inspection item information corresponding to the work scope set up for the new renewable energy equipment units is included based on the technical information; a control module that transmits the work plans to the mobile devices of the respective workers through the send/receive module and then saves in the database the repair results information on inspection results information and failure items received from the mobile devices which correspond to the work plans; a report generation module that generates inspection results on new renewable energy equipment units based on the inspection results information and repair results information; an analysis module that analyzes the repair results information included in multiple inspection reports on new renewable energy equipment units of the same model and extracts the failure analysis information from the failure items that have been analyzed and from issue information on failure content; and wherein the control module updates information on changes to diagnostic content on failure items generated based on the failure analysis information and from the issue information and saves this information in the work plans for each same-model new renewable energy equipment unit.
Here, the repair results information includes information on specific causes, severity levels, worker comments and on how to respond to the failure items, and the analysis module may comprise a failure mode analysis part that generates the failure analysis information, including failure item lists, specific causes, frequencies of failure occurrence, severity levels and ways to respond, which are included in multiple units of repair results information, and an issue generation part that generates the issue information, including classifications of worker comment information for each failure item and work planner comments regarding this.
The failure mode analysis part can classify the specific causes and severity levels for each failure item and how to respond to each specific cause into tables and can additionally generate repair instructions information so that workers can select and input detailed information on the respective failure items when performing diagnostic work.
The control module can additionally save the repair instructions information to the respective inspection items of the work plan.
The issue generation part can additionally extract inspection items requiring inspection related to the failure items and receive input and save additional work planner issues about the failure items.
The information on changes to diagnostic content can include information on whether inspection items are mandatory, inspection priorities and/or inspection schedule information on the failure items.
The inspection priorities can be selected based on the frequency and severity levels of the failure items.
The technical information may include equipment information, ways of performing maintenance and repairs and repair history information on the respective new renewable energy equipment units, and the equipment information may include model information, installing company information, power generation estate information and manufacturer information on the new renewable energy equipment units, and the inspection item information may include inspection item lists, inspection-related manuals, information on how to evaluate severity levels when there are failures, information on inspection reference values, information on inspection reference colour coding, information on inspection methods, whether inspections are mandatory, inspection priorities and/or inspection schedule information.
At the same time, based on another embodiment of the present invention, the above objectives are achieved using a method of analyzing diagnostic results from new renewable energy equipment comprising a step of generating work plans which include inspection item information corresponding to the work scopes set up based on technical information about new renewable energy equipment units; a step of transmitting work plans to the mobile devices of the respective workers, and saving inspection results information and repair results information on failure items received from the mobile devices so as to correspond to the work plans; a step of generating inspection reports based on the inspection results information and repair results information; a step of analyzing repair results information included in multiple inspection reports on same-model new renewable energy equipment units, and extracting failure analysis information from which the failure items were analyzed, and issue information about the failure content; a step of generating information on changes to diagnostic content about failure items generated based on the failure analysis information; and a step of updating and saving the information on changes to the diagnostic content to the work plan.
This process may further comprise a step of updating and saving the information on changes to diagnostic content and issue information to each work plan for same-model new renewable energy equipment units.
The step of extracting failure analysis information may further comprise a step of itemizing, classifying and counting the specific causes, frequencies of failure occurrence, severity levels and how to respond to each input failure item included in each of the multiple units of repair results information; a step of creating tables and generating repair instructions information so that workers can select and input each item; and a step of additionally saving the repair instructions information to the inspection items of the work plan.
The step of generating issue information may further comprise a step of additionally extracting inspection items requiring inspection which are related to failure items; and a step of receiving input and saving additional issues from work planners regarding the failure items.
Effects of the Invention
Therefore, based on the method of analyzing diagnostic results from new renewable energy equipment units of the present invention, and an apparatus thereof, thousands of issues discovered on-site are normalized so that they can be searched and analyzed by priority level, equipment unit, failure mode and the like to integrate the management of all kinds of maintenance and repair information.
Also, as workers can select and input detailed content for the respective failure items when performing diagnostic work, it is very easy for workers to input failure items, even as expressions that each worker inputs differently are normalized, so that data consistency can be maintained, the causes and measures taken for each failure mode statistically analyzed and the value of the analyzed data increased even more.
Also, by providing ways to evaluate whether specific inspection items have failed and lists of detailed possible causes of failure conditions, this method makes it easy to evaluate specific causes, and by providing maintenance and repair methods (response methods) which have previously been performed for each specific cause. an appropriate level of maintenance and repairs work can be performed regardless of the skill levels of workers.
Brief Description of the Figures
Figure 1 is a block diagram of the apparatus for analyzing diagnostic results from new renewable energy equipment units based on one embodiment of the present invention.
Figures 2 and 3 are screens shown on mobile devices based on one embodiment of the present invention.
Figures 4 and 5 are screens of inspection reports based on one embodiment of the present invention.
Figure 6 is one screen showing issue information based on one embodiment of the present invention.
Figure 7 is a flow diagram of the method of analyzing diagnostic results from new renewable energy equipment units based on another embodiment of the present invention.
Figure 8 is a flow diagram of the method of analyzing diagnostic results from new renewable energy equipment units based on yet another embodiment of the present invention.
Detailed description of the Invention
The following is a detailed description of one embodiment of the present invention, with reference to the attached drawings.
Before starting the description, it is hereby made clear that new renewable energy equipment units (100) in the present specification refers specifically, for example, to power generation equipment that uses new renewable energy, such as wind power electric generators and solar power electric generators, but that the application of the present invention is not limited to the new renewable energy field, and can be applied without limit to various fields and types of electric equipment on which diagnostic work is performed.
Referring to Figure 1, the apparatus for analyzing diagnostic results (10) from new renewable energy equipment units based on one embodiment of the present invention comprises a database (11), a send/receive module (12), a control module (13), a work plan generation module (14), a report generation module (15) and an analysis module (16).
The following is a description of the individual components.
The database (11) includes technical information about new renewable energy equipment units (100) and various information to be described later is saved thereof.
First, to explain overall, information saved in the database (11) is composed of a part that defines detailed information for new renewable energy equipment units (100) and the detailed properties of actual power generation estates (for example, the technical information), a part that assigns the scope and properties of tasks for each inspection project (work plans, which are to be described later), and a part that expresses the results of inspections and work in the form of reports (inspection reports, failure analysis information, issue information and information on diagnostic content changes, which are to be described later).
The work plans generated based on the technical information are analyzed using the inspection reports and the like, and the analyzed content is again updated to the technical information and work plans and saved in the database (11).
The following is a discussion of the above content in sequence.
The technical information may include equipment information, maintenance and repair methods and repair history information on new renewable energy equipment units (100).
The equipment information may include model information, installing company information, power generation estate information and manufacturer information on new renewable energy equipment units (100).
Each new renewable energy equipment unit (100) refers to a single power generation equipment unit installed in a specific location and operating independently and can be assigned unique identifying information to distinguish it from other power generation equipment units. In other words, power companies may have multiple power generation estates, and each power generation estate may have multiple power generation equipment units, so that the equipment information which is represented by the identifying information may include information about the power company and the power generation estate.
The model information may include the model name, GPS location, installation date, detailed configuration, manufacturer and class of the gearbox being used and information on the person-in-charge of work for the new renewable energy equipment units (100).
The maintenance and repair information may include inspection methods for each inspection item classified in the model information, and the types of failures expected, as well as ways of responding thereof.
The repair history may include information on the past repair history of the respective new renewable energy equipment units (100), and the content of the inspection results information, which is to be described later, can be updated by the control module (13).
The send/receive module (12) sends and receives data to and from the mobile devices (30) belonging to workers, through wired or wireless networking.
The mobile devices (30) are devices belonging to workers performing diagnostic work on each new renewable energy equipment unit (100) and are provided so as to be connectable through wired or wireless networking to the apparatus for analyzing diagnostic results (10) from new renewable energy equipment units.
Various types of well-known devices may be used without restriction for mobile devices (30), including smartphones, tablet computers and notebook computers, and specifically, mobile devices may be provided as smartphones on which specialized applications have been installed to perform diagnostic work.
As illustrated in Figure 1, the mobile devices (30) may comprise an image generation module (31), a send/receive module (33), an input/output module (35) and a report generation module (37). Each configuration is explained in the following related items.
The work plan generation module (14) generates work plans that include inspection item information corresponding to the work scope set up for new renewable energy equipment units (100) based on the technical information.
In terms of the work scope of diagnostic projects for the operation of power generation estates, various combinations of work are performed in the same way for multiple electric generators so that multiple work plans can be set up to include the same inspection items based on the work scope.
In other words, inspections can be performed using the same inspection item list every time, but the detailed inspection items can also be changed depending on the power generation equipment inspection objectives. Thus, since changes can be made even to the same inspection items in terms of whether inspection items are mandatory, their priority levels or their inspection schedules, based on the occurrence of failure items, to be described later, and inspection results, the work plans can be generated based on work scopes set up to reflect such changes.
The work plans may include various content, and for example, may include the equipment information, inspection item information and worker information.
The inspection item information may include information for new renewable energy equipment units (100) that includes inspection item lists, inspection-related manuals, information on how to evaluate severity levels of failures, information on inspection reference values, information on inspection reference colour coding, information on inspection methods, whether inspections are mandatory, inspection priorities and/or inspection schedule information.
As previously described, the work plans can differ from each other depending on new renewable energy equipment unit (100) models, and can also naturally even differ for the same models depending on the performance objectives of the diagnostic work.
Work plans generated in this way are transmitted by the control module (13) through the send/receive module (12) to the mobile devices (30) of the respective workers.
Here, the control module (13) can push-transmit the work plans to the mobile devices (30) of the respective workers, but the mobile devices (30) can also attempt to connect to the apparatus for analyzing diagnostic results (10) from new renewable energy equipment units so that the work plans are transmitted if the connection is granted.
In the latter case, the apparatus for analyzing diagnostic results (10) from new renewable energy equipment units may further include a security authentication module to determine whether to grant connections to mobile devices (30) attempting to connect.
Furthermore, the mobile devices (30) can also receive information whenever they connect to the apparatus for analyzing diagnostic results (10) in order for workers to perform diagnostic work on-site, but the work plans can also already be saved on the mobile devices (30).
In the latter case, the workers can still check the task information and perform diagnostic and management work even if wired or wireless networking is unavailable in the locations at which new renewable energy equipment units (100) are installed. After that, the work plans and inspection results information for inspections performed are synchronized with the apparatus for analyzing diagnostic results (10) in areas where wired or wireless networking is possible. In such cases, the standard synchronization times can be based on the time on the apparatus for analyzing diagnostic results (10). Meanwhile, when multiple mobile devices (30) access the database (20) through the apparatus for analyzing diagnostic results (10), multiple connections are permitted for read-mode access, but when accessing in write mode, a sequence can be assigned so that updates are performed in order.
The control module (13) saves inspection results information and repair results information, which are the results of workers performing diagnostic work based on the work plans, in the database (11) so as to correspond to the work plans.
This is explained as follows, with reference to Figures 2 and 3.
Figures 2 and 3 show screens displayed on mobile devices (30) through the input/output module (30).
As illustrated in the drawings, inspection items can be categorized and provided based on the structure of the new renewable energy equipment units (100), and for example, can be configured into higher-level “Assembly” items and associated lower-level “Component” items.
On the far left of Figure 2, a special tab (Figure 2a) is provided to provide statistics generated after drafting the inspection report, which is to be described later. After that, the “Assembly” list is displayed on the tap strip and the “Component” list is located there as the content for each tab (“Assembly”) (Figure 2b). If photographs and evaluations already exist for each “Component”, then the photograph thumbnail list and highest severity levels (right-side number on Figure 2c) can be shown together.
On the other hand, as previously described, mandatory inspection items for specific “Components” that must be performed can be highlighted on the screen as in Figure 2d, and the system can be set up so that the inspection report cannot be generated if the inspection results information is not input.
Showing the mandatory inspection items that must be performed ensures that workers only have to perform the minimum necessary diagnostic work, while also giving the workers discretion to look for mandatory inspection items and perform only those when there is a lack of time for the required diagnostic work.
The system is configured so that upon viewing sub-screens for each “Component” on mobile devices (30), detailed descriptions of how to inspect specific inspection items, additional photograph buttons and severity levels and comments for each “Comment” (Figure 3a and 3b) are shown. Multiple photographs can be added continuously through the image generation module (31). This is done using the internal camera of the mobile devices (30), but the cameras can be controlled in an integrated way directly through the system API without using external camera apps in order to adjust the resolution, the flash mode and sizes after photographing and to crop and make colour adjustments.
The image generation module (31) separates and manages the storage area of photographs taken by workers from other photograph data (photograph source management), and photographs that need to be uploaded to the apparatus for analyzing diagnostic results (10) can be uploaded only when mobile devices (30) are currently on a wi-fi network. If an upload fails, it can be re-attempted for each photograph individually.
If, after taking a photograph, an inspection item is determined to be a failure item, the system switches to failure mode, evaluates the severity level of the photograph, and generates repair results information containing the specific causes and how to respond, as well as comments input by workers (Figures 3c & 3d). In this case, the repair instructions information provided from the apparatus for analyzing diagnostic results (10) can be edited or additionally input by default.
The input/output module (35) performs queries for work plans received from the diagnostic and management server (10) and inputs inspection results information. Inspection results information and repair results information through the input/output module (35) can be synchronized with the apparatus for analyzing diagnostic results (10) through the send/receive module (33), and propagated after that to other mobile devices (30) or to the diagnostic and management server.
The image generation module (31) is provided to take photographs when photographs must be input for certain inspection items of work plans.
At the same time, mobile devices (30) may further comprise a report generation module (37) that generates inspection results reports for workers based on inspection results information from inspections that have been completed.
The repair results information includes information on specific causes, severity levels and worker comments for failure items, and on how to respond to the failure items.
In other words, if certain inspection items are determined to be failure items, the repair results information contains information on failure conditions (specifically, whether it is rust, scratches, wear or corrosion), specific causes of the failures (moisture, interference, etc.) and degrees of severity level (Grades 1, 2, 3 and 4), as well as comments added by workers in addition to the above, and content on maintenance and repairs performed on the respective failure content.
The report generation module (15) generates inspection reports on the respective new renewable energy equipment units (100) based on the inspection results information and repair results information.
The report generation module (15) functions to generate documents that are compatible with a web browser and printer based on templates assigned by work reports and populated by the input of inspection results information and repair results information received from mobile devices (30).
The inspection report includes an inspection part for inspection results information on inspections performed using work plans having specific work scopes for specific new renewable energy equipment units (100) and an evaluation part for photographs and inspection results information transmitted during inspections.
The inspection report, for example, can also have multiple photographs of lower-level “Components” of specific inspection items added, and can add multiple inspection evaluations for each photograph.
Here, the inspection evaluation may include information on severity levels, failure modes, possible specific causes and follow-up measures to be taken for the specific failure items.
Explaining with reference to Figures 4 and 5, the report generation module (15), for example, may comprise a document structure generation part, a database query execution part, a photograph memory management part, a report editing part, a table of contents generation part and a PDF document generation part.
Specifically, the document structure and queries are included in templates, and the document structure can be expanded by replacing the document tags with query results. The photograph memory management part can prevent the problem of loading operations stopping early due to lack of memory when loading thousands of photographs in the browser at the same time. It does this by downloading from the database (11) and saving locally only the photographs which are being displayed on the screen or which are of nearby areas, thus reducing the loading time of the document itself. Also, the respective information for all items (severity levels, photographs, comments, etc.) input for inspection results information or repair results information can be edited through the report editing part, with the edits updated to the database (11). As shown in Figure 4, a table of contents can be expanded automatically so that the location currently being edited can be seen on the right side of the screen.
In the inspection report, photographs (images) can be processed as the most basic unit of data, and the evaluation of photographs and inspections can be expressed so as to include colour codes (yellow or blue), as illustrated in Figure 5.
There can be a separate photograph uploading part for editing inspection reports through the report editing part. Through this, new photographs or external photographs can be easily added to reports in the browser so that photograph data not generated in the mobile devices (30) of workers can be integrated in.
The PDF document generation part can comprise a program for converting web screens to PDFs, database tables for managing PDF output and a module for converting document structures to print output in print mode. This functions to allow documents to be viewed through a web browser when requests for PDF generation are made, with the report generation module (15) leaving snapshots of the respective reports at each point in time. The ability to edit inspection reports can be turned off after being changed to submission mode following review and approval.
The analysis module (16) analyzes the repair results information included in multiple inspection reports about same-model new renewable energy equipment units (100) and extracts failure analysis information for which failure items have been analyzed and issue content about the failure content.
The analysis module (16) may comprise a failure mode analysis part (161) and an issue generation part (163).
The failure mode analysis part (161) generates the failure analysis information containing information on failure item lists, specific causes, failure occurrence frequencies, severity levels and ways of responding, which are included in each of the multiples units of repair results information.
The failure mode analysis part (161) analyzes the specific causes and distribution of measures taken which correspond to the failure modes for each same model and each inspection item (“Component”) in order to provide distribution lists and an auto-complete function based on each detailed input part of the inspection evaluation when drafting inspection reports.
In other words, the distribution list and auto-complete function are used to maintain consistency by normalizing each of the individual expressions which differ a little from each other when individual workers draft reports, and to enable the building of a larger database of causes and measures taken for each failure mode, thus determining the major distribution of faults in order to raise on-site inspection efficiency.
For example, the failure analysis information can include the statistical values and distributions of failure modes for each inspection item as in Figure 2a, and can categorize symptoms and causes and generate tables as in Figures 3d and 3d.
Here, the analyzed inspection reports can include all the inspection reports of models which are the same as the models for which the failure items occurred.
The failure mode analysis part (161) can classify and organize into tables the specific causes and severity levels of individual failure items and ways of responding to specific causes, and generate additional repair instructions information.
The repair instructions information uses results analyzed by the failure mode analysis part (161) and maintenance and repair information accumulated so far in order to respond effectively when workers perform diagnostic work on failure modes on-site.
In other words, as illustrated in Figure 2, this method makes it easy to evaluate specific causes by providing ways to evaluate whether specific inspection items have failed and lists of specific possible causes of failure conditions, and makes it so that appropriate maintenance and repair work can be performed regardless of the skill levels of workers by providing maintenance and repair methods (response methods) which have previously been performed for each specific cause.
Furthermore, repair results information input additionally based on the repair instructions information is collected again through the inspection reports and analyzed through the analysis module (16) so that the process of updating the work plans again with repair instructions information is repeated.
The control module (13) saves the repair instructions information additionally to the respective inspection items of work plans.
The issue generation part (163) generates the issue information, which includes the classification of worker comment information for each failure item and the work plan comments for this.
The issue generation part (163) may comprise a function of providing separate automatic summary tables for issues requiring additional attention within the inspection report unit, and a function of providing summary tables on issues for each project within the work scope.
For example, as illustrated in Figure 6, the issue generation part (163) can display whether to pay extra attention to inspections through the colours for each inspection item, can summarize and provide content on failure modes of inspection items evaluated to be failure items in previous diagnostic work, and can receive and provide additional input of comments for work plans thereby related.
Also, it can extract related inspection items requiring additional inspections related to the failure items, and can also receive input of and save additional issues thereby for work plans related to the failure items.
Additionally, the issue generation part (163) can comprise, among others, a function of providing photographs that can be compared and searched against the photographs of other electric generators for each of the same inspection items.
For this, the control module (13) updates and saves information on diagnostic content changes and issue information for the failure items generated based on the failure analysis information generated by the analysis module (16), which is to be described later, to the work plans for each same-model new renewable energy equipment unit (100).
The information on diagnostic content changes can include information on changes to the failure items, including to whether inspection items are mandatory, inspection priorities and/or inspection schedule information.
In other words, in order to maximize inspection efficiency, the control module (13) can raise the inspection priority levels for inspection items based on the frequency of the respective failure items or their severity levels, change the respective inspection items to make them mandatory inspection items, or shorten the inspection schedules.
Here, the inspection priorities can be selected based on the frequency and severity levels of the failure items.
The diagnostic results analysis explained above can not only combine inspection items for same-model power generation equipment, but can do so also for models of mutually different types.
Therefore, based on the apparatus for analyzing diagnostic results from new renewable energy equipment units of the present invention, by normalizing thousands of issues discovered on-site, it is possible to search and analyze by priority, equipment and failure mode in order to manage all kinds of maintenance and repair information in an integrated way.
Furthermore, the results of analyzing failure causes for and ways of responding to individual inspection items are categorized and provided additionally in the work plans so that optimized maintenance and repair work can be performed regardless of the skill levels of workers on-site, so as to improve work precision and save work time.
Also, an advantage of collecting know-how about the causes of and ways of dealing with failure modes of individual equipment units is that it reduces the barriers to entry for managing new power generation equipment so that an optimal management level can be reached within a minimum of time.
The following is an explanation of the method of analyzing diagnostic results from new renewable energy equipment units based on another embodiment of the present invention, with reference to the drawings.
First, work plans are generated that include inspection item information corresponding to the work scopes set up based on the technical information for new renewable energy equipment units (100) (S11).
The work plans are transmitted to the mobile devices (30) of the respective workers, and the inspection results information and repair results information on failure items received from the mobile devices (30) are saved so as to correspond to the work plans (SI2).
Inspection reports are generated based on the inspection results information and repair results information (SI 3).
The repair results information included in multiple inspection reports of same-model new renewable energy equipment units (100) is analyzed, and the failure analysis information from inspecting the failure items and issue information about the failure content is extracted (SI4).
Information is generated on diagnostic content changes to failure items, which are generated based on the failure analysis information (SI 5). After that, the information on diagnostic content changes is updated and saved to work plans (S16).
Here, the process may comprise a step of updating and saving the information on diagnostic content changes and issue information to each work plan of same-model new renewable energy equipment units (100).
On the other hand, the step of extracting failure analysis information may further comprise a step of itemizing, classifying and counting the specific causes, frequencies of failure occurrence, severity levels and how to respond to the failure items input for each failure item included in each of the multiple units of repair results information (S14); a step of creating tables and generating repair instructions information so that workers can select and input each item (S142); and a step of additionally saving the repair instructions information to the respective inspection items of work plans (S143).
Also, the step of generating issue information may further comprise a step of additionally extracting inspection items requiring inspection which are related to the failure items; and a step of receiving input and saving additional issues from work planners for the failure items.
Description of the Symbols 10: apparatus for analyzing diagnostic results from new renewable energy equipment units 11: database 12: send/receive module 13: control module 14: work plan generation module 15: report generation module 16: analysis module 161: fault mode analysis part 163: issue generation part 30: mobile device 31: image generation module 33: send/receive module 35: input/output module 37: report generation module

Claims (12)

Claims
1. An apparatus for analyzing diagnostic results from new renewable energy equipment units comprising a database on which technical information about new renewable energy equipment units is saved; a work plan generation module that generates work plans in which inspection item information corresponding to the work scopes set up for new renewable energy equipment units is included based on the technical information; a control module that transmits the work plans to the mobile devices of the respective workers through the send/receive module and then saves in the database the repair results information on inspection results information and failure items received from the mobile devices which correspond to the work plans; a report generation module that generates inspection results on new renewable energy equipment units based on the inspection results information and repair results information; an analysis module that analyzes the repair results information included in multiple inspection reports on new renewable energy equipment units of the same model and extracts the failure analysis information from the failure items that have been analyzed and from issue information on failure content; and wherein the control module updates information on changes to diagnostic content on failure items generated based on the failure analysis information and from the issue information and saves this information in the work plans for each same-model new renewable energy equipment unit.
2. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 1 characterized wherein the repair results information includes information on specific causes, severity levels, worker comments and on how to respond to the failure items, and wherein the analysis module comprises a failure mode analysis part that generates the failure analysis information, including failure item lists, specific causes, frequencies of failure occurrence, severity levels and ways to respond, which are included in multiple units of repair results information, and an issue generation part that generates the issue information, including classifications of worker comment information for each failure item and work planner comments regarding this.
3. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 2 characterized wherein the failure mode analysis part classifies the specific causes and severity levels for each failure item and how to respond to each specific cause into tables and additionally generates repair instructions information so that workers can select and input detailed information on the respective failure items when performing diagnostic work.
4. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 3 characterized wherein the control module adds and saves repair instructions information to the respective inspection items of the work plans.
5. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 2 characterized wherein the issue generation part additionally extracts inspection items requiring inspection related to the failure items and receives input and saves additional work planner issues about the failure items.
6. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 1 characterized wherein information on diagnostic content changes includes information on changes to the failure items, including to whether inspection items are mandatory, inspection priorities and/or inspection schedule information.
7. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 6 characterized wherein the inspection priorities are selected based on the frequency and severity levels of the failure items.
8. An apparatus for analyzing diagnostic results from new renewable energy equipment units in Claim 1 characterized wherein the technical information includes equipment information, ways of performing maintenance and repairs and repair history information on the respective new renewable energy equipment units, and the equipment information includes model information, installing company information, power generation estate information and manufacturer information on the new renewable energy equipment units, and the inspection item information includes inspection item lists, inspection-related manuals, information on how to evaluate severity levels when there are failures, information on inspection reference values, information on inspection reference colour coding, information on inspection methods, whether inspections are mandatory, inspection priorities and/or inspection schedule information.
9. A method of analyzing diagnostic results from new renewable energy equipment comprising a step of generating work plans which include inspection item information corresponding to the work scopes set up based on technical information about new renewable energy equipment units; a step of transmitting work plans to the mobile devices of the respective workers, and saving inspection results information and repair results information on failure items received from the mobile devices so as to correspond to the work plans; a step of generating inspection reports based on the inspection results information and repair results information; a step of analyzing repair results information included in multiple inspection reports on same-model new renewable energy equipment units, and extracting failure analysis information from which the failure items were analyzed, and issue information about the failure content; a step of generating information on changes to diagnostic content about failure items generated based on the failure analysis information; and a step of updating and saving the information on changes to the diagnostic content to the work plans.
10. A method of analyzing diagnostic results from new renewable energy equipment units in Claim 9 further comprising a step of updating and saving the information on changes to diagnostic content and issue information to each work plan for same-model new renewable energy equipment units.
11. A method of analyzing diagnostic results from new renewable energy equipment units in Claim 9 characterized wherein the step of extracting repair results analysis information may further comprise a step of itemizing, classifying and counting the specific causes, frequencies of failure occurrence, severity levels and how to respond to each failure item input for each failure item included in each of the multiple units of repair results information; a step of creating tables and generating repair instructions information so that workers can select and input each item; and a step of additionally saving the repair instructions information to the inspection items of the work plans.
12. A method of analyzing diagnostic results from new renewable energy equipment units in Claim 9 characterized wherein the step of generating issue information further comprises a step of additionally extracting inspection items requiring inspection which are related to failure items; and a step of receiving input and saving additional issues from work planners regarding the failure items.
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