modal_data={
  "aiwtp": [
  [
    {
      "def": "<div class='fw-700'>Manual Operation</div><div>Manual facility operation by personnel</div>",
      "contents": "<p> - Process and facility control performed directly by operators on-site</p><p> - No personnel (shift workers) for process and facility operation</p><p> - No monitoring/control space (central control room) for individual or entire processes</p>",
      "fac": "Direct operation and data value verification on-site",
      "score": 4
    },
    {
      "def": "<div class='fw-700'>Electric Facility Setup</div><div>Electric facility operation, dedicated personnel</div>",
      "contents": "<p> - Control panel for electric operation (relay, sequence control panel, etc.)</p><p> - Dedicated organization for partial process operation, analysis operation through personnel</p>",
      "fac": "On-site monitoring and automatic/manual operation facilities are established, monitoring available from remote surveillance space",
      "score": 8
    },
    {
      "def": "<div class='fw-700'>Control Automation Setup</div><div>Automatic control system (opening control, etc.)</div>",
      "contents": "<p> - System for facility linkage operation (pump-valve, measurement-process, etc.) (automatic control system, PLC, etc.)</p><p> - Systematic organization (shift workers) for main process monitoring/control, space exists</p><p> - Semi-automatic and automatic operation through remote control system for some processes</p>",
      "fac": "Control automation (opening, etc.), measurement data transmission for PLC logic control, sequential facility operation according to sequence, etc.",
      "score": 12
    },
    {
      "def": "<div class='fw-700'>Remote Monitoring Control Setup</div><div>Remote facility operation, monitoring, feedback control</div>",
      "contents": "<p> - System exists to monitor and control facilities of entire process</p><p> - Real-time process status analysis and AI-based predictive control, autonomous operation</p>",
      "fac": "Measurement index (water quality, quantity, etc.) based data preprocessing and analysis model algorithm configured for AI mode setting",
      "score": 16
    },
    {
      "def": "<div class='fw-700'>Full Automation Setup</div><div>Remote automatic operation (proportional control, etc.)</div>",
      "contents": "<p> - Digital twin-based integrated fully autonomous operation (EMS, predictive maintenance linkage)</p><p> - Remote facility control using smart equipment outside the water treatment plant</p>",
      "fac": "Measurement index (water quality, quantity, etc.) based data preprocessing and analysis model algorithm configured for AI mode setting",
      "score": 20
    }
  ],
  [
    {
      "def": "<div class='fw-700'>On-site Inspection</div><div>On-site visual status inspection management</div>",
      "contents": "<p> - Preventive maintenance and regular inspections, facility status verified directly by personnel on-site</p><p> - Non-systematic maintenance due to lack of specialized personnel, asset system, and regular budget for facility management</p>",
      "fac": "",
      "score": 4
    },
    {
      "def": "<div class='fw-700'>Alarm System Setup</div><div>Facility anomaly setting management</div>",
      "contents": "<p> - Personnel directly interpret facility anomalies through data analysis collected by sensors and measurement devices</p><p> - Systematic facility management possible with personnel for regular facility inspection</p>",
      "fac": "",
      "score": 8
    },
    {
      "def": "<div class='fw-700'>Real-time Status Monitoring</div><div>Real-time facility status monitoring management</div>",
      "contents": "<p> - Preventive measures possible through early alarms via facility failure alarm system</p><p> - Budget secured for facility management, immediate repair possible when abnormality occurs</p>",
      "fac": "",
      "score": 12
    },
    {
      "def": "<div class='fw-700'>AI-based Predictive Maintenance</div><div>AI-based predictive maintenance</div>",
      "contents": "<p> - Real-time facility status monitoring to predict failures or performance degradation in advance</p><p> - Stage where failures can be predicted and maintenance cycles optimized through AI and big data analysis</p><p> - Asset management system operation for comprehensive management and analysis of facility useful life, failure history, predictive maintenance results, etc.</p>",
      "fac": "",
      "score": 16
    },
    {
      "def": "<div class='fw-700'>Digital-based Facility Management</div><div>Digital twin-based integrated facility management (autonomous operation, EMS, energy management, etc. linkage)</div>",
      "contents": "<p> - Predictive maintenance results linked with autonomous operation, energy management, etc., utilized in real-time process operation</p>",
      "fac": "",
      "score": 20
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Energy Management</div><div>No energy management criteria</div>",
      "contents": "<p> - No separate power data measurement facility for each unit facility</p><p> - Energy consumption dependent on operator intuition or experience due to lack of energy management criteria</p>",
      "fac": "",
      "score": 3
    },
    {
      "def": "<div class='fw-700'>Utility Energy Management</div><div>Energy management criteria, unit facility management</div>",
      "contents": "<p> - Individual power data measurement facilities exist</p><p> - Unit facility energy management criteria exist, manual energy management based on set power consumption targets</p>",
      "fac": "",
      "score": 6
    },
    {
      "def": "<div class='fw-700'>Real-time Energy Management</div><div>Real-time power measurement management, energy management system established</div>",
      "contents": "<p> - Real-time individual power data integrated monitoring system established</p><p> - High-efficiency energy consumption planning and operation through device energy consumption pattern analysis</p>",
      "fac": "",
      "score": 9
    },
    {
      "def": "<div class='fw-700'>AI-based Energy Management</div><div>AI-based energy management system established and operated</div>",
      "contents": "<p> - Energy consumption optimization through high-efficiency facility operation based on real-time individual energy consumption data</p><p> - Autonomous operation of all operating facilities according to business site power consumption targets</p>",
      "fac": "Acquisition data-based learning algorithm for residual (±) analysis, autonomous diagnosis to determine anomaly status, program logic-based system established",
      "score": 12
    },
    {
      "def": "<div class='fw-700'>Digital-based Integrated Energy Management</div><div>Digital twin-based integrated energy management (autonomous operation, predictive maintenance, etc. linkage)</div>",
      "contents": "<p> - All facilities and systems in the water treatment plant interact in real-time, AI optimizes energy use at all stages of facility operation</p>",
      "fac": "",
      "score": 15
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Criteria, Items, Manual</div><div>No criteria, items, etc.</div>",
      "contents": "<p> - Safety and security matters managed directly by personnel without separate criteria, procedures, or systems</p>",
      "fac": "",
      "score": 2
    },
    {
      "def": "<div class='fw-700'>Criteria, Items, Manual Exist</div><div>Safety, security-related criteria, items, etc. exist</div>",
      "contents": "<p> - Enterprise-level safety and security management procedures with personnel involvement</p><p> - Non-systematic data management due to lack of system and budget</p>",
      "fac": "",
      "score": 4
    },
    {
      "def": "<div class='fw-700'>Safety/Security System Setup</div><div>Safety/security system established and operated</div>",
      "contents": "<p> - Some automated safety and security systems introduced for real-time risk monitoring</p><p> - Specialized personnel and regular budget secured for safety/security system operation</p>",
      "fac": "",
      "score": 6
    },
    {
      "def": "<div class='fw-700'>AI-based Safety Management</div><div>Manual facility operation by personnel</div>",
      "contents": "<p> - Safety/security system established and operated using latest ICT technologies such as intelligent CCTV, smart security, etc.</p><p> - Real-time AI video analysis technology applied to CCTV for facility and facility security, industrial safety accident recognition without spatial or temporal limitations</p>",
      "fac": "",
      "score": 8
    },
    {
      "def": "<div class='fw-700'>Digital-based Integrated Safety</div><div>Digital twin-based integrated safety/security management</div>",
      "contents": "<p> - All systems in the water treatment plant fully integrated, AI manages and optimizes overall safety and security</p><p> - AI oversees entire process from accident prevention to response and recovery</p>",
      "fac": "",
      "score": 10
    }
  ],
    [
      {
        "def": "<div class='fw-700'>No Criteria, Items</div><div>No management criteria or items</div>",
        "contents": "<p> - No criteria, dedicated personnel, dedicated system, or budget to evaluate and manage data quality such as accuracy, consistency, completeness</p>",
        "fac": "",
        "score": 3
      },
      {
        "def": "<div class='fw-700'>Criteria, Items Exist</div><div>Management goals, items, etc. criteria exist</div>",
        "contents": "<p> - Standardized process or guidelines for evaluating and managing enterprise-level data quality exist</p><p> - Non-systematic data management due to lack of personnel, system, and budget</p>",
        "fac": "",
        "score": 6
      },
      {
        "def": "<div class='fw-700'>Real-time Quality Management</div><div>Real-time quality management system established</div>",
        "contents": "<p> - Real-time water information system established, DB structured for real-time data collection and aggregation</p><p> - Personnel assigned for regular data inspection and quality improvement work</p><p> - Data standards and quality management criteria/guidelines exist</p><p> - Outlier and missing value handling methods defined through criteria, but data quality management performed by personnel</p>",
        "fac": "",
        "score": 9
      },
      {
        "def": "<div class='fw-700'>AI-based Quality Prediction/Management</div><div>AI-based quality prediction and management</div>",
        "contents": "<p> - Data lifecycle integrated system structured (planning, installation, consumption, management, etc.)</p><p> - Data quality strategy/standards/procedures/execution plan/management organization exist</p><p> - System established and operated to detect, display, and manage errors through real-time data collection</p><p> - Budget regularly secured for system operation, improvement, or quality management services</p>",
        "fac": "",
        "score": 12
      },
      {
        "def": "<div class='fw-700'>Digital-based Integrated Quality Management</div><div>Digital twin-based integrated quality management (autonomous operation, EMS, predictive maintenance, etc. linkage)</div>",
        "contents": "<p> - AI perfectly integrated with data generated during water treatment plant operation</p><p> - Automatically corrects data errors or defects and self-relearns</p>",
        "fac": "",
        "score": 15
      }
    ]
],
  "wtpdt": [
  [
    {
      "def": "<div class='fw-700'>2D Drawing Management</div><div></div>",
      "contents": "<p> - Drawings not managed or managed only with 2D drawings</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>LOD 100 Level</div><div>Conceptual model</div>",
      "contents": "<p> - Similar appearance to reality, approximate dimensions reflected</p><p> - Basic design, layout review</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>LOD 200 Level</div><div>Basic shape model</div>",
      "contents": "<p> - 3D shape + attributes (material, specifications, management number, etc.)</p><p> - Construction documentation, asset management, maintenance basic data, AR/VR</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>LOD 300 Level</div><div>Attribute-included model, BIM level</div>",
      "contents": "<p> - Construction-level precision, modeling down to component level</p><p> - Process management, construction planning, basic simulation functions included</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>LOD 400 Level</div><div>Precision reality model</div>",
      "contents": "<p> - High-precision model based on actual measurement data (LiDAR, drone scan, 3D scanner, etc.) at completion and operation stage</p><p> - Level capable of operation inspection, high-dimensional simulation utilization</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>On-site Monitoring, Basic Data Collection Stage or Below</div><div></div>",
      "contents": "<p> - Selective collection of core sensors only (flow, water pressure/level, residual chlorine, power, etc.). File/batch upload centered.</p><p> - Data logger/Excel/simple DB, tag standard/unit system definition started.</p><p> - Data dictionary (tag, unit, description), collection cycle/retention period regulations, quality indicator (missing rate) draft.</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Real-time Monitoring</div><div></div>",
      "contents": "<p> - IoT, SCADA linkage, real-time collection and display of main data, event notification provided</p><p> - Early detection of anomalies, operation status visualization</p><p> - Real-time dashboard and threshold-based alarm.</p><p> - User role-based notification (system/mobile/email)</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Integrated Monitoring</div><div></div>",
      "contents": "<p> - Combined with GIS, BIM, 3D model, asset/specification information and operation data fusion</p><p> - Integrated facility management, on-site remote linkage monitoring</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Predictive Monitoring</div><div></div>",
      "contents": "<p> - Early detection of anomaly/failure prediction (e.g., residual chlorine drop, turbidity spike), schedule-based preventive maintenance proposal</p><p> - Advance maintenance, operation list minimization</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>DT-based Monitoring</div><div></div>",
      "contents": "<p> - AI autonomous operation linkage and response, simulation function considering external factors</p><p> - Asset lifecycle data (acquisition/replacement) and operation data linkage, one-click traceability of work orders/inspection results.</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Simulation System, Simple Experiments</div><div></div>",
      "contents": "<p> - No simulation system</p><p> - Basic design calculations performed only through simple experiments</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Unit Process Design Formula Available</div><div></div>",
      "contents": "<p> - Simple offline calculation-based simulation for each unit process</p><p> - Simulation performed using static models or empirical formulas for some processes</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Measured Data-based Integrated Physical Model Available</div><div></div>",
      "contents": "<p> - Process flow diagrams organized, physical model functions implemented for some processes based on experimental constants</p><p> - AI model and physical model simulation rarely performed</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Physical Model + AI Model Assisted Simulation</div><div></div>",
      "contents": "<p> - Physical model, some AI models available for use</p><p> - Dynamic integrated simulation possible using some real-time measurements for changes</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Decision Support Integrated Simulation</div><div></div>",
      "contents": "<p> - Integrated simulation with physical model, CFD analysis, AI model available for each unit process</p><p> - Level capable of comparing simulation with actual values based on measured data</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Criteria, Items</div><div>No management criteria or items</div>",
      "contents": "<p> - No criteria, dedicated personnel, dedicated system, or budget to evaluate and manage data quality such as accuracy, consistency, completeness</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Criteria, Items Exist</div><div>Management goals, items, etc. criteria exist</div>",
      "contents": "<p> - Standardized process or guidelines for evaluating and managing enterprise-level data quality exist</p><p> - Non-systematic data management due to lack of personnel, system, and budget</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Real-time Management</div><div>Real-time management system established</div>",
      "contents": "<p> - Real-time water information system established, DB structured for real-time data collection and aggregation</p><p> - Personnel assigned for regular data inspection and quality improvement work</p><p> - Data standards and quality management criteria/guidelines exist</p><p> - Outlier and missing value handling methods defined through criteria, but data quality management performed by personnel</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>AI-based Prediction/Management</div><div>AI-based quality prediction and management</div>",
      "contents": "<p> - Data lifecycle integrated system structured (planning, installation, consumption, management, etc.)</p><p> - Data quality strategy/standards/procedures/execution plan/management organization exist</p><p> - System established and operated to detect, display, and manage errors through real-time data collection</p><p> - Budget regularly secured for system operation, improvement, or quality management services</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Digital-based Integrated Management</div><div>Digital twin-based integrated management (autonomous operation, EMS, predictive maintenance, etc. linkage)</div>",
      "contents": "<p> - AI perfectly integrated with data generated during water treatment plant operation</p><p> - Automatically corrects data errors or defects and self-relearns</p>",
      "fac": "",
      "score": 25
    }
  ]
],
  "pipelinedt": [
  [
    {
      "def": "<div class='fw-700'>Basic Data Stage</div><div>Analog-centered</div>",
      "contents": "<p> - Pipeline DB managed with paper drawings, CAD, Excel</p><p> - GIS available but only partially constructed</p><p> - Pipeline location identified through paper drawings and experience, no GIS-related criteria</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Basic GIS Construction Stage</div><div>Office GIS display</div>",
      "contents": "<p> - GIS available for entire pipeline, but overall quality is uneven</p><p> - Pipeline location information can be queried using GIS in office</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Pipeline DB Standardization and Maintenance Stage</div><div>Mobile map utilization</div>",
      "contents": "<p> - Consistent GIS DB constructed for entire pipeline, most omissions/errors resolved through regular DB maintenance</p><p> - Pipeline displayed on mobile devices using satellite images and cadastral maps</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Platform and System Management</div><div>High-precision location display and cadastral synchronization</div>",
      "contents": "<p> - Entire pipeline DB distinguished by unique ID and regularly managed by system</p><p> - Pipeline information displayed through mobile map via high-precision map and GPS</p><p> - Various maps (satellite and cadastral maps, etc.) automatically updated and provided to users</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Pipeline AR and Real-time Operation Information Mobile Linkage</div><div></div>",
      "contents": "<p> - Pipeline location and depth can be displayed on-site using high-precision GPS and AR functions</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>On-site Data Collection and Query</div><div>Simple information query</div>",
      "contents": "<p> - On-site patrol-based, analog meter data direct verification</p><p> - Manual recording in paper log/Excel</p><p> - Pipeline information managed with paper drawings, various facility and operation information managed separately</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Basic Remote Monitoring</div><div>Digitization</div>",
      "contents": "<p> - Measuring instruments installed at major points, basic remote collection through RTU/PLC</p><p> - Manual recording in paper log/Excel</p><p> - Standardized process or guidelines for evaluating and managing enterprise-level data quality exist</p><p> - Non-systematic data management due to lack of personnel, system, and budget</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Integrated Real-time Monitoring</div><div>Partial mobile linkage for pipeline management work</div>",
      "contents": "<p> - Major facility sensor network established for real-time collection</p><p> - Integrated control screen at a glance</p><p> - Event/accident alarm, history data query</p><p> - Pipeline map and facility information query on tablet/mobile, inspection/accident records registered on-site</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Intelligent Real-time Monitoring</div><div>Integrated mobile on-site work support</div>",
      "contents": "<p> - Automatic anomaly pattern detection, partial AI anomaly detection</p><p> - Location-based photo, memo/document, audio file storage</p><p> - Third-party construction on-site inspection managed through mobile and sent to main server for storage</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Comprehensive Decision Support Using Mobile Device and Digital Twin</div><div></div>",
      "contents": "<p> - Pipeline AR implementation, risk map display</p><p> - Location, specification, operation information provided on single screen during accident, shared between on-site and situation room simultaneously</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>Manual Information Modification (Office)</div><div></div>",
      "contents": "<p> - Pipeline information can be modified but no criteria, manual processing in office mainly</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Basic DB Modification Possible</div><div></div>",
      "contents": "<p> - Modification and supplementation system for pipeline information including GIS exists, but can only be done in office</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>On-site Modification Function for Some Items</div><div></div>",
      "contents": "<p> - Facility attribute information can be modified</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>On-site Correction and Modification System via Mobile Device (Batch)</div><div></div>",
      "contents": "<p> - Point/line facility specifications, location, operation information can be directly modified on mobile, but batch processing method</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>On-site Modification Possible and Bidirectional Synchronization System (Real-time)</div><div></div>",
      "contents": "<p> - Modification/new registration/mapping on mobile device linked bidirectionally in real-time</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Criteria, Items</div><div>No management criteria or items</div>",
      "contents": "<p> - No criteria, dedicated personnel, dedicated system, or budget to evaluate and manage data quality such as accuracy, consistency, completeness</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Criteria, Items Exist</div><div>Management goals, items, etc. criteria exist</div>",
      "contents": "<p> - Standardized process or guidelines for evaluating and managing enterprise-level data quality exist</p><p> - Non-systematic data management due to lack of personnel, system, and budget</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Real-time Management</div><div>Real-time management system established</div>",
      "contents": "<p> - Real-time water information system established, DB structured for real-time data collection and aggregation</p><p> - Personnel assigned for regular data inspection and quality improvement work</p><p> - Data standards and quality management criteria/guidelines exist</p><p> - Outlier and missing value handling methods defined through criteria, but data quality management performed by personnel</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>AI-based Prediction/Management</div><div>AI-based quality prediction and management</div>",
      "contents": "<p> - Data lifecycle integrated system structured (planning, installation, consumption, management, etc.)</p><p> - Data quality strategy/standards/procedures/execution plan/management organization exist</p><p> - System established and operated to detect, display, and manage errors through real-time data collection</p><p> - Budget regularly secured for system operation, improvement, or quality management services</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Digital-based Integrated Management</div><div>Digital twin-based integrated management (autonomous operation, EMS, predictive maintenance, etc. linkage)</div>",
      "contents": "<p> - AI perfectly integrated with data generated during water treatment plant operation</p><p> - Automatically corrects data errors or defects and self-relearns</p>",
      "fac": "",
      "score": 25
    }
  ]
],
  "waternet": [
  [
    {
      "def": "<div class='fw-700'>Basic Data Stage</div><div>Analog-centered</div>",
      "contents": "<p> - Pipeline DB managed with paper drawings, CAD, Excel</p><p> - GIS available but only partially constructed</p><p> - Pipeline location identified through paper drawings and experience, no GIS-related criteria</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Basic GIS Construction Stage</div><div>Office GIS display</div>",
      "contents": "<p> - GIS available for entire pipeline, but overall quality is uneven</p><p> - Pipeline location information can be queried using GIS in office</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Pipeline DB Standardization and Maintenance Stage</div><div></div>",
      "contents": "<p> - Consistent GIS DB constructed for entire pipeline, most omissions/errors resolved through regular DB maintenance</p><p> - Pipeline displayed on mobile devices using satellite images and cadastral maps</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Platform and System Management</div><div>High-precision location display and cadastral synchronization</div>",
      "contents": "<p> - Entire pipeline DB distinguished by unique ID and regularly managed by system</p><p> - Pipeline information displayed through mobile map via high-precision map and GPS</p><p> - Various maps (satellite and cadastral maps, etc.) automatically updated and provided to users</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Digital Twin and Asset Management Linkage Level Established</div><div></div>",
      "contents": "<p> - Pipeline DB utilized and managed as digital twin (DT) or integrated platform</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>On-site Data Collection and Query</div><div></div>",
      "contents": "<p> - On-site patrol-based, analog meter data direct verification</p><p> - Manual recording in paper log/Excel</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Basic Remote Monitoring</div><div></div>",
      "contents": "<p> - Measuring instruments installed at major points, basic remote collection through RTU/PLC</p><p> - Manual recording in paper log/Excel</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Integrated Real-time Monitoring</div><div></div>",
      "contents": "<p> - Major facility sensor network established for real-time collection</p><p> - Integrated control screen at a glance</p><p> - Event/accident alarm, history data query</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Intelligent Real-time Monitoring</div><div></div>",
      "contents": "<p> - Automatic anomaly pattern detection, partial AI anomaly detection</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Predictive/Operational Monitoring</div><div></div>",
      "contents": "<p> - AI anomaly detection and predictive analysis monitoring</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>Unstructured/Experience-dependent</div><div></div>",
      "contents": "<p> - No pipeline model or model neglected</p><p> - Excel formula dependent for specific section design</p>",
      "fac": "",
      "score": 4
    },
    {
      "def": "<div class='fw-700'>Basic Model Available</div><div></div>",
      "contents": "<p> - Pipeline analysis model like EPANET available, but long-term neglect causes analysis result differences</p>",
      "fac": "",
      "score": 8
    },
    {
      "def": "<div class='fw-700'>Calibrated Standard Pipeline Analysis Model Available</div><div></div>",
      "contents": "<p> - Water pressure and flow values of major supply sections almost match actual measurement levels</p>",
      "fac": "",
      "score": 12
    },
    {
      "def": "<div class='fw-700'>Operational Decision Support Stage</div><div></div>",
      "contents": "<p> - Various decision-making functions such as chlorine and residence time analysis established and utilized</p>",
      "fac": "",
      "score": 16
    },
    {
      "def": "<div class='fw-700'>Real-time AI-based Pipeline Operation Stage</div><div></div>",
      "contents": "<p> - Pipeline analysis model synchronized with operation data in real-time to derive prediction results, integrated with AI model</p>",
      "fac": "",
      "score": 20
    }
  ],
  [
    {
      "def": "<div class='fw-700'>Manual Operation</div><div>Manual report writing by personnel</div>",
      "contents": "<p> - Pipeline operation report written directly by operator on-site</p><p> - No personnel (shift workers) for report writing</p>",
      "fac": "",
      "score": 3
    },
    {
      "def": "<div class='fw-700'>Report Writing through On-site Measurement Data</div><div>Pipeline operation, dedicated personnel exist</div>",
      "contents": "<p> - Measurement data for pipeline operation report obtained on-site</p><p> - Dedicated organization and personnel assigned for operation results and report writing</p>",
      "fac": "",
      "score": 6
    },
    {
      "def": "<div class='fw-700'>Operation Report Database Established</div><div>Operation reports stored in database</div>",
      "contents": "<p> - Operation reports stored and queried in database</p><p> - Measurement data period query possible through report detail view</p><p> - Reports stored in database for report history management</p>",
      "fac": "",
      "score": 9
    },
    {
      "def": "<div class='fw-700'>Automatic Aggregation</div><div>Statistics and revenue water rate aggregation automatically performed by system</div>",
      "contents": "<p> - Automatic aggregation of statistical data for measurement data</p><p> - Block-wise customer information and billing data linked and stored in database</p><p> - Block-wise supply volume and billing information automatically classified for automatic revenue water rate data aggregation</p>",
      "fac": "",
      "score": 12
    },
    {
      "def": "<div class='fw-700'>AI Prediction Report</div><div>Prediction data calculation through AI learning and automatic report generation</div>",
      "contents": "<p> - AI prediction model created for report items</p><p> - AI prediction data calculation for report items</p><p> - Comparison analysis report generated between AI prediction data and actual data</p>",
      "fac": "",
      "score": 15
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Criteria, Items</div><div>No management criteria or items</div>",
      "contents": "<p> - No criteria, dedicated personnel, dedicated system, or budget to evaluate and manage data quality such as accuracy, consistency, completeness</p>",
      "fac": "",
      "score": 3
    },
    {
      "def": "<div class='fw-700'>Criteria, Items Exist</div><div>Management goals, items, etc. criteria exist</div>",
      "contents": "<p> - Standardized process or guidelines for evaluating and managing enterprise-level data quality exist</p><p> - Non-systematic data management due to lack of personnel, system, and budget</p>",
      "fac": "",
      "score": 6
    },
    {
      "def": "<div class='fw-700'>Real-time Data Collection Management</div><div>Real-time data quality management system established</div>",
      "contents": "<p> - Real-time water information system established, DB structured for real-time data collection and aggregation</p><p> - Personnel assigned for regular data inspection and quality improvement work</p><p> - Data standards and quality management criteria/guidelines exist</p><p> - Outlier and missing value handling methods defined through criteria, but data quality management performed by personnel</p>",
      "fac": "",
      "score": 9
    },
    {
      "def": "<div class='fw-700'>Missing Data Recollection</div><div>Missing data recollection and re-aggregation function</div>",
      "contents": "<p> - Function to query and recollect missing data provided</p><p> - Automatic calculation function for aggregated data linked to recollected data provided</p><p> - Function to query history of recollected data provided</p>",
      "fac": "",
      "score": 12
    },
    {
      "def": "<div class='fw-700'>Automatic Data Integrity Determination through AI</div><div>Automatic determination of errors, holding, reference errors in collected data</div>",
      "contents": "<p> - Data lifecycle integrated system structured (planning, installation, consumption, management, etc.)</p><p> - Data quality strategy/standards/procedures/execution plan/management organization exist</p><p> - System established and operated to detect, display, and manage collected data errors through AI</p>",
      "fac": "",
      "score": 15
    }
  ]
],
  "assetmgmt": [
  [
    {
      "def": "<div class='fw-700'>Manual Operation</div><div>Asset status survey by personnel</div>",
      "contents": "<p> - Asset inventory and various maintenance history development for asset ledger</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Information Verification through Measurement Data and Direct On-site Confirmation</div><div></div>",
      "contents": "<p> - Asset inventory and various maintenance history data collection and database on-site</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Asset Status Modularization, Database and Measurement System Established</div><div></div>",
      "contents": "<p> - Surveyed asset status data database</p><p> - 30 asset management modules developed considering asset characteristics and condition assessment influencing factors</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Partial Automation</div><div>Asset status periodic update through system linkage</div>",
      "contents": "<p> - Asset status periodic (quarterly) update</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Automation</div><div>Real-time asset status update through system linkage</div>",
      "contents": "<p> - New asset acquisition registration automation</p><p> - Real-time update according to asset status changes</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Logic</div><div>Replacement decision through on-site visual inspection</div>",
      "contents": "<p> - Failure Mode analysis for each asset</p><p> - CAP classification and condition assessment (quantitative/qualitative) using Step Approach technique</p><p> - Logic supplementation if necessary after condition assessment verification</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Replacement Decision Based on Facility Useful Life</div><div></div>",
      "contents": "<p> - (Facility assets) Single asset/multi-asset Decay Curve (regression) model based on condition assessment</p><p> - (Pipeline assets) Physical, economic, functional remaining life prediction using Failure Mode technique</p><p> - Logic supplementation if necessary after remaining life prediction</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Criteria, Items, Goal Setting, etc.</div><div></div>",
      "contents": "<p> - Total maintenance cost (LCC) and replacement cost calculation for each asset</p><p> - Work content and cost information database for each asset</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Partial Automation</div><div>Manual update of regulations, goals, etc.</div>",
      "contents": "<p> - LoS items and targets (KPI) set for replacement/renovation budget priority investment purpose (used as asset management goal)</p><p> - Asset relevance derived according to set LoS items and asset management modules, processes</p><p> - Set performance indicators (KPI) continuously managed through \"PDCA\" activities according to related regulations/guidelines</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Automation</div><div>Real-time update according to changes in regulations, goals, etc.</div>",
      "contents": "<p> - Core (risk) assets to be managed intensively derived, considering Probability of Failure (PoF) and Consequence of Failure (CoF)</p><p> - FMEA Library prepared for each module to review asset failure modes and impacts</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>Repair/Maintenance, Replacement Nature Determination</div><div></div>",
      "contents": "<p> - Risk Priority Number (RPN) calculation based on remaining life, LoS, BRE results</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Manual Appropriate Investment Planning</div><div></div>",
      "contents": "<p> - Investment target classification through module-specific special considerations reflection, ORDM execution</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Required Budget and Appropriate Rate Setting, etc.</div><div></div>",
      "contents": "<p> - Optimal maintenance strategy derived by preparing Task Library for each module, annual CAPEX/OPEX planning</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Partial Automation</div><div>Manual update of available budget by personnel</div>",
      "contents": "<p> - Basic data presented for required budget and appropriate rate calculation for short/mid-long term reflecting condition-based remaining life</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Automation</div><div>Real-time update according to changes in available budget</div>",
      "contents": "<p> - Asset unit portfolio, site-level asset management planning and strategy establishment</p>",
      "fac": "",
      "score": 25
    }
  ],
  [
    {
      "def": "<div class='fw-700'>No Criteria, Items</div><div>No management criteria or items</div>",
      "contents": "<p> - No criteria, dedicated personnel, dedicated system, or budget to evaluate and manage data quality such as accuracy, consistency, completeness</p>",
      "fac": "",
      "score": 5
    },
    {
      "def": "<div class='fw-700'>Criteria, Items Exist</div><div>Management goals, items, etc. criteria exist</div>",
      "contents": "<p> - Standardized process or guidelines for evaluating and managing enterprise-level data quality exist</p><p> - Non-systematic data management due to lack of personnel, system, and budget</p>",
      "fac": "",
      "score": 10
    },
    {
      "def": "<div class='fw-700'>Real-time Management</div><div>Real-time management system established</div>",
      "contents": "<p> - Real-time water information system established, DB structured for real-time data collection and aggregation</p><p> - Personnel assigned for regular data inspection and quality improvement work</p><p> - Data standards and quality management criteria/guidelines exist</p><p> - Outlier and missing value handling methods defined through criteria, but data quality management performed by personnel</p>",
      "fac": "",
      "score": 15
    },
    {
      "def": "<div class='fw-700'>Logic-based Prediction/Management</div><div></div>",
      "contents": "<p> - Data lifecycle integrated system structured (planning, installation, consumption, management, etc.)</p><p> - Data quality strategy/standards/procedures/execution plan/management organization exist</p><p> - System established and operated to detect, display, and manage errors through real-time data collection</p><p> - Budget regularly secured for system operation, improvement, or quality management services</p>",
      "fac": "",
      "score": 20
    },
    {
      "def": "<div class='fw-700'>Asset Management System-based Integrated Management</div><div></div>",
      "contents": "<p> - AI perfectly integrated with data generated during water treatment plant operation</p><p> - Automatically corrects data errors or defects and self-relearns</p>",
      "fac": "",
      "score": 25
    }
  ]
]
}