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Manufacturer and Model Management (MX04US02)

1. Problem Statement

For Meter Manager:

  • Repetitive manual entry of technical specifications for each new meter, leading to inefficient workflows
  • Lack of standardized meter models resulting in inconsistent data entry and potential errors
  • No centralized visibility into meter inventory across manufacturers, models, and conditions
  • Difficulty tracking meter performance and condition trends across different models
  • Inability to analyze procurement patterns and make data-driven vendor decisions
  • Time-consuming process of managing individual meter records without bulk operations

For Meter Supervisor (Device Manager):

  • Limited oversight of meter asset lifecycle and condition distribution
  • Difficulty identifying optimal meter models for specific utility applications
  • Lack of predictive insights for meter replacement planning
  • No standardized approach to evaluate meter model performance across the fleet

Core Problem:

The current meter management system lacks a structured approach to meter model standardization and inventory oversight. This results in inefficient data entry processes, inconsistent meter specifications, limited visibility into fleet performance, and suboptimal procurement decisions due to lack of analytical insights.

2. Who Are the Users Facing the Problem?

Meter Manager:

  • Oversees all metering operations and data collection
  • Manages meter reading schedules aligned with billing cycles
  • Coordinates meter installation, replacement, and maintenance programs
  • Ensures data quality for consumption measurements
  • Implements new metering technologies and reading methods
  • Analyzes consumption data for system efficiency

Meter Supervisor (Device Manager):

  • Manages the utility's meter inventory and specifications
  • Oversees meter testing, calibration, and certification processes
  • Coordinates large-scale meter replacement programs
  • Evaluates new meter technologies for potential adoption
  • Ensures meter compliance with industry standards and regulations
  • Develops meter installation and maintenance procedures

3. Jobs To Be Done

For Meter Manager:

  • When I need to add new meters to the system, But I have to manually enter repetitive technical specifications for each unit, Help me leverage pre-configured meter models with standardized specifications, So that I can reduce data entry time by 80% and eliminate specification errors.
  • When I need to understand my current meter inventory distribution and performance, But I lack visibility into meter conditions and model performance across my fleet, Help me access comprehensive dashboard analytics showing inventory metrics by manufacturer, model, and condition, So that I can make informed decisions about procurement and replacement planning.
  • When I need to evaluate which meter models are performing best in my system, But I don't have comparative analytics across different manufacturers and models, Help me analyze meter condition trends, failure rates, and performance metrics by model, So that I can optimize my procurement strategy and reduce maintenance costs.

For Meter Supervisor (Device Manager):

  • When I need to create new meter model specifications for procurement, But I lack a standardized template system that captures all technical requirements, Help me define comprehensive meter models with all technical specifications and smart meter configurations, So that I can ensure consistent procurement standards and enable bulk meter additions.
  • When I need to track individual meter lifecycle and condition changes, But I don't have visibility into meter age, installation history, and current status, Help me access detailed meter tracking with installation dates, age calculations, and condition monitoring, So that I can proactively manage meter replacement schedules and maintenance needs.

4. Solution

The Meter Inventory Management system provides a comprehensive solution for standardizing meter models and managing meter inventory:

Key Capability Areas:

  1. Inventory Dashboard
    • Real-time metrics showing total manufacturers, models, and meters in system
    • Visual breakdown of meter types (Smart, Photo, Manual) with counts
    • Average meters per model calculation for distribution analysis
    • Growth indicators showing new additions and quarterly trends
  2. Meter Model Management
    • Standardized meter model creation with pre-configured templates
    • Comprehensive technical specifications capture including dimensions, flow rates, and materials
    • Smart meter configuration options for communication types and firmware versions
    • Manufacturer and model name standardization with dropdown selections
  3. Technical Specifications Repository
    • Complete technical parameter capture (dial length, count, max flow, connection size)
    • Physical specifications including weight, dimensions, and materials
    • Accuracy class definitions and IP rating configurations
    • Smart meter features including OTA updates, encryption, and API integration capabilities
  4. Meter Condition Tracking
    • Real-time condition monitoring with Normal, RCNT (Recent), and Faulty classifications
    • Individual meter lifecycle tracking with installation dates and age calculations
    • Device number assignment and status management
    • Condition distribution analytics across all meter models
  5. Manufacturer and Model Analytics
    • Manufacturer performance comparison across total meters and conditions
    • Model-specific performance metrics and failure rate analysis
    • Utility type distribution (Water, Gas, Electricity) across models
    • Created by and creation date tracking for audit purposes
  6. Individual Meter Management
    • Detailed meter records with device numbers and installation dates
    • Age calculation in months from installation date
    • Status tracking (Active, RCNT, Faulty) with visual indicators
    • Action capabilities for viewing, editing, and managing individual meters
  7. Bulk Operations and Filtering
    • Search functionality across model names and manufacturers
    • Filter options by meter type, condition, and manufacturer
    • Bulk meter addition based on pre-configured models
    • Mass status updates and condition changes
  8. Smart Meter Configuration
    • Communication type selection (cellular, RF, etc.)
    • Firmware version tracking and update management
    • Battery life specifications and monitoring
    • Security features including encryption and API integration toggles

5. Major Steps Involved

For Meter Manager using the Meter Inventory Management feature:

  1. Access Inventory Dashboard
    • Navigate to the Metering module in SMART360
    • Select "Meter Inventory Management" from the navigation menu
    • View dashboard showing 7 manufacturers, 7 models, 7,890 total meters, and 1,127 average meters per model
    • Review growth indicators showing +2 new manufacturers this quarter and +3 models added this month
  2. Review Meter Model Distribution
    • Examine meter type breakdown showing Smart (3), Photo (2), and Manual (2) models
    • Use search bar to find specific models by manufacturer or model name
    • Apply filters to view specific meter types or manufacturers
    • Review table showing all models with their specifications and current inventory
  3. Analyze Meter Conditions
    • Review condition distribution across models (Normal, RCNT, Faulty counts)
    • Identify models with high faulty percentages for replacement prioritization
    • Compare condition performance across different manufacturers
    • Use condition data to inform procurement and maintenance decisions
  4. Access Individual Meter Details
    • Click on a specific meter model (e.g., "E-Series Ultrasonic" by Badger)
    • View comprehensive model information including technical specifications
    • Review meter statistics showing 650 total meters with condition breakdown
    • Access individual meter list showing 8 meters with their device numbers, installation dates, and current status
  5. Track Meter Performance
    • Monitor individual meter age calculations (e.g., 28 months, 27 months)
    • Review installation dates and track meter lifecycle progression
    • Identify meters approaching replacement age or showing performance issues
    • Use action buttons to view detailed meter information or make updates

For Meter Supervisor creating new meter models:

  1. Initiate Model Creation
    • Click "Add New Meter Model" button from the inventory dashboard
    • Access the meter model creation form with General Information and Technical Specifications sections
  2. Configure General Information
    • Select manufacturer from dropdown or add new manufacturer using "+" button
    • Enter model name in the required field
    • Select meter type from dropdown (Smart, Photo, Manual)
    • Enter optional make code for model identification
    • Select supported utilities by checking Water, Electricity, and/or Gas checkboxes
  3. Enter Technical Specifications
    • Input dial length in millimeters, dial count, and maximum flow rate (m³/h)
    • Select connection size from dropdown and enter weight in kilograms
    • Select accuracy class from dropdown options
    • Enter physical dimensions: length, width, and height in millimeters
    • Describe material composition in text field (e.g., "Brass body, polymer register")
    • Select IP rating from dropdown for environmental protection classification
  4. Configure Smart Meter Features (if meter type is Smart)
    • Select communication type from dropdown (cellular, RF, LoRaWAN, etc.)
    • Enter firmware version information
    • Specify battery life expectancy in years
    • Toggle smart features: "Supports OTA Firmware Updates", "Encryption Enabled", "Enable API Integration"
  5. Save and Activate Model
    • Review all entered specifications for accuracy
    • Click "Save Meter Model" to create the standardized model
    • New model becomes available for bulk meter additions and inventory management
    • Model appears in inventory dashboard with initial zero meter count

6. Flow Diagram

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7. Business Rules

General

Main Rules:

    Dashboard Overview

    Page Title: "Meter Inventory Management"

    • AllPrimary heading identifying the inventory management system
    • Context for meter manufacturers, models, and specifications management

    Subtitle: "Manage meter manufacturers, models, and specifications"

    • Describes comprehensive inventory management capabilities
    • Indicates system scope covering all meter-related data

    Full Screen Mode Notification

    • "To exit full screen, press 'Esc'" overlay message
    • User guidance for interface navigation
    • Indicates full-screen mode is currently active

    Action Buttons

    Manage Manufacturers Button

    • Navigation control to manufacturer management interface
    • Enables addition, editing, and management of meter manufacturers
    • Links to manufacturer-specific configuration options

    Add New Meter Model Button

    • Blue primary action button with "+" icon
    • Initiates new meter model creation workflow
    • Primary call-to-action for expanding inventory

    Summary Statistics Cards

    Total Manufacturers: 7

    • Count of registered meter manufacturers in system
    • Blue building icon represents manufacturer entities
    • Growth Indicator: "+2 new this quarter" (green text)
    • Shows recent expansion of manufacturer partnerships

    Total Models: 7

    • Count of configured meter models mustacross haveall amanufacturers
    • Purple uniquedatabase combinationicon represents model catalog
    • Growth Indicator: "+3 added this month" (green text)
    • Indicates active model expansion and system growth

    Total Meters: 7,890

    • Complete inventory count of manufacturerphysical meters in system
    • Green dial icon represents meter population
    • Coverage Indicator: "Across all models" (green text)
    • Shows comprehensive meter deployment across model types

    Avg Meters per Model: 1,127

    • Mathematical average: Total Meters ÷ Total Models
    • Orange speedometer icon represents efficiency metric
    • Indicates distribution density and deployment patterns

    Search and Filter Controls

    Search Bar: "Search by model name withinor themanufacturer..."

    • Free-text systemsearch across meter models and manufacturers
    • ManufacturerEnables quick location of specific inventory items
    • Supports partial matching and keyword searches

    Filters Button

    • Opens advanced filtering options for inventory view
    • Funnel icon indicates filtering capabilities
    • Enables complex queries and data segmentation

    Meter Type Tabs

    All Meters (7)

    • Shows complete inventory regardless of meter type
    • Total count of all configured meter models
    • Default view providing comprehensive overview

    Smart (3)

    • Filters to smart meters with IoT/communication capabilities
    • WiFi icon indicates connected meter technology
    • Count shows subset of technologically advanced meters

    Photo (2)

    • Filters to meters using photo-based reading methods
    • Camera icon indicates image capture functionality
    • Count shows meters requiring visual reading verification

    Manual (2)

    • Filters to traditional manually-read meters
    • Clock icon indicates time-based manual reading process
    • Count shows meters requiring field istechnician mandatoryvisits

    Inventory andData mustTable

    Manufacturer beColumn

    • Kamstrup selected| fromSensus existing| manufacturersElster or| addedBadger as| new
    • Model name field is mandatory and cannot exceed 50 charactersNeptune
    • Meter typemanufacturer mustcompany benames
    • Links selectedto manufacturer-specific product portfolios

    Model Name Column

    • MULTICAL 603 | iPERL | V200 | E-Series Ultrasonic | T-10
    • Specific product model identifiers from predefined options: Smart, Photo, or Manualmanufacturers
    • AtUnique leastnames onefor supportedtechnical utilityspecification and deployment

    Meter Type Column

    • Smart (Water,purple Electricity,badge Gas)with mustWiFi beicon)
    • Manual selected(blue badge with clock icon)
    • Photo (green badge with camera icon)
    • Reading method classification for operational workflows

    Total Meters Column

    • 1,250 | 890 | 2,100 | 650 | 1,800
    • Count of physical meters deployed for each model
    • CreatedInventory byquantity tracking for maintenance and createdreplacement

    Meter onConditions fieldsColumn

    • Normal: areOperational automaticallymeters in good condition (green badges)
    • RCNT: Recent installation or maintenance (yellow badges)
    • Faulty: Meters requiring repair or replacement (red badges)
    • Status breakdown with specific counts per condition type

    Utilities Column

    • Water (blue badge) | Gas (gray badge)
    • Service type classification for billing and operational purposes
    • Determines rate structures and regulatory compliance requirements

    Created By Column

    • John Smith | Sarah Johnson | Mike Wilson | Emily Davis | Tom Anderson
    • User identification for model configuration accountability
    • Audit trail for inventory management changes

    Created On Column

    • 2024-01-15 | 2024-01-20 | 2024-02-05 | 2024-02-10 | 2024-01-25
    • Date format: YYYY-MM-DD
    • Chronological tracking of model addition to system

    Status Column

    • Active (black badge for all entries)
    • Operational status indicating model availability for deployment
    • Controls whether model can be assigned to new installations

    Actions Column

    • View (eye icon): Opens detailed model information
    • Edit (pencil icon): Modifies model configuration
    • Delete (trash icon): Removes model from system

    Add New Meter Model Form

    General Information Section

    Manufacturer Dropdown: "Select manufacturer"

    • Required field (marked with *)
    • Dropdown populated with currentregistered usermanufacturers
    • Add Button (+): Creates new manufacturer if not listed
    • Links model to specific manufacturer for organization

    Model Name Field: "Enter model name"

    • Required field (marked with *)
    • Text input for unique model identification
    • Primary identifier for model selection and timestampmanagement
    • All

    Meter Type Dropdown: "Select meter models default to Active status upon creationtype"

    • Make codeRequired field is(marked optionalwith *)
    • Determines reading method and limitedoperational toworkflow
    • Available 20options: charactersSmart, Photo, Manual

    Make Code Field: "Optional make code"

    • Optional manufacturer-specific product code
    • Additional identifier for technical specifications
    • Supports internal referencemanufacturer numbering systems

Supported Utilities Checkboxes

  • Required field (marked with *)
  • Water: Water utility service support
  • Electricity: Electric utility service support
  • Gas: Gas utility service support
  • Multiple selections allowed for multi-utility meters

Technical Specifications Rules:Section

  1. Dial lengthLength must(mm): be"0"

    • Numeric enteredinput for meter dial measurement
    • Physical specification for installation compatibility
    • Measured in millimeters andfor accept only positive numeric valuesprecision

    Dial countCount: must"0"

    • Numeric beinput a positive integer representing thefor number of dials on themeter meterface
    • Reading complexity indicator for field operations
    • Affects reading time and accuracy requirements

    Max Flow (m³/h): "0"

    • Maximum flow rate mustspecification
    • Critical befor enteredproper meter sizing and installation
    • Measured in m³/h (cubic meters per hour) and accept decimal valueshour

    Connection sizeSize mustDropdown: be"Select selected from standardsize"

    • Physical pipe connection specification
    • Determines installation compatibility
    • Standard sizes (1/2",for 3/4",utility 1", 1.5", 2", etc.)connections

    Weight must(kg): be"0"

    • Meter enteredweight specification in kilograms
    • Important for installation planning and accept decimal values up to two decimal placeslogistics
    • Affects shipping and handling requirements

    Accuracy classDropdown: must"Select beaccuracy"

    • Measurement selectedprecision fromclassification
    • Regulatory standardcompliance classificationsspecification
    • Determines billing accuracy and certification requirements

    Length (Classmm): A ±2%, Class B ±5%, etc.)

  2. "0"

    • Physical dimensionsmeter (length,length width, height) must be entered in millimeters as positive integersdimension
    • MaterialInstallation fieldspace isrequirement free text with a 200-character limitspecification
    • Critical for describingmeter box and housing compatibility

    Width (mm): "0"

    • Physical meter width dimension
    • Installation space requirement specification
    • Affects accessibility and maintenance clearances

    Height (mm): "0"

    • Physical meter height dimension
    • Installation space requirement specification
    • Determines mounting and housing requirements

    Material Field: "e.g., Brass body, polymer register"

    • Free-text description of meter construction materials
    • Important for environmental compatibility and durability
    • Placeholder text provides format guidance

    IP Rating Dropdown: "Select IP rating"

    • Ingress Protection rating mustfor beenvironmental selectedresistance
    • Critical fromfor standardoutdoor and harsh environment installations
    • Standard ratings (IP54, IP65, IP68, etc.) defining environmental protection

Smart Meter Configuration Rules:Section

  1. Smart Meter Configuration section only appears

    (Appears when "Smart" meter type is selectedselected)

    Communication asType Dropdown: "Smart"Select communication type"

    • Wireless technology specification for smart meters
    • CommunicationOptions: typeWiFi, mustLoRa, beNB-IoT, selected from available options (Cellular, RF, LoRaWAN, Wi-Fi,GSM, etc.)
    • Determines connectivity and data transmission method

    Firmware versionVersion fieldField: accepts alphanumeric input up to 20 characters ("e.g., "1.2.3",

    • Current firmware version identification
    • Critical for compatibility and update management
    • Version format guidance provided in placeholder

    Battery Life (Years): "v2.1.5")0"

    • Expected battery lifespan for wireless meters
    • BatteryMaintenance lifeplanning mustand bereplacement enteredscheduling
    • Measured in years asfor along-term positiveplanning

    Smart numberMeter withFeature oneToggles

    Supports decimalOTA placeFirmware precisionUpdates Toggle

    • Checkbox indicating over-the-air update capability
    • SmartEnables meterremote firmware management
    • Critical for security patches and feature togglesupdates

    Encryption (OTAEnabled Updates,Toggle

    • Checkbox Encryption,indicating APIdata Integration)encryption default to disabledcapability
    • EnablingSecurity feature for data transmission protection
    • Compliance requirement for secure communications

    Enable API Integration requiresToggle

    • Checkbox encryptionindicating API connectivity support
    • Enables third-party system integration
    • Critical for data exchange and automation

    Form Actions

    Cancel Button

    • Discards all form inputs and returns to bemain enabledinventory
    • Gray button providing exit option without saving
    • Prevents accidental data loss with confirmation prompt

    Save Meter Model Button

    • Blue primary action button to commit new model configuration
    • Validates all required fields before saving
    • Creates new inventory item and returns to main dashboard

    Model Detail View (E-Series Ultrasonic)

    Header Information

    Model Title: "E-Series Ultrasonic"

    • Primary model identification
    • Links to manufacturer (Badger) and type (Photo)
    • Status indicator (Active) shows operational availability

    Back Button Navigation

    • Returns to main inventory dashboard
    • Preserves current filter and search state

    Basic Information Panel

    Manufacturer: "Badger"

    • Manufacturer identification and branding
    • Links to manufacturer-specific models and support

    Model Name: "E-Series Ultrasonic"

    • Complete model designation
    • Primary identifier for securityprocurement complianceand deployment

    Make Code: "KC603"

    • Manufacturer-specific product identifier
    • OTAAlternative firmware update capability is recommendedreference for technical documentation

    Meter Type: "Photo" (green badge)

    • Reading method classification
    • Camera icon indicates photo-based reading requirement

    Created By: "John Smith"

    • User accountability for model configuration
    • Audit trail for inventory management

    Created On: "2024-01-15"

    • Model addition date to system
    • Chronological tracking for inventory lifecycle

    Utilities: "Water"

    • Service type classification
    • Determines billing integration and operational procedures

    Technical Specifications Tab

    Dial Length: "165 mm"

    • Precise measurement for installation compatibility
    • Critical dimension for meter housing selection

    Dial Count: "8"

    • Number of reading dials on meter face
    • Affects reading complexity and time requirements

    Max Flow: "3.5 m³/h"

    • Maximum flow rate capacity
    • Critical for proper sizing and installation applications

    Connection Size: "3/4""

    • Standard pipe connection specification
    • Determines compatibility with existing infrastructure

    Weight: "1.2 kg"

    • Physical weight for shipping and installation planning
    • Affects handling requirements and mounting considerations

    Accuracy: "Class A (+2%)"

    • Measurement precision classification
    • Regulatory compliance and billing accuracy specification

    Dimensions (L × W × H): "190 × 105 × 95 mm"

    • Complete physical dimensions for installation planning
    • Critical for meter box selection and space requirements

    Material: "Brass body, polymer register"

    • Construction material specification
    • Important for environmental compatibility and longevity

    IP Rating: "IP68"

    • Environmental protection rating
    • Indicates submersion and dust resistance capability

    Meter Statistics Panel

    Total Meters in System: 650

    • Complete inventory count for this model
    • Blue text indicates healthy inventory level
    • Deployment scale indicator for maintenance planning

    Meter Conditions Breakdown (of all smartthe meter in the system of the selected model)

    Normal: 600

    • Operational meters in good working condition
    • Green indicator shows healthy fleet status
    • Majority of deployed meters functioning properly

    RCNT: 35

    • Reading Canot be taken
    • Yellow indicator shows transitional status
    • Requires monitoring for stabilization

    Faulty: 15

    • Meters requiring repair or replacement
    • Red indicator flags maintenance attention needed
    • Small percentage indicates good overall reliability

    Edit Meter Button

    • Black action button for model configuration changes
    • Pencil icon indicates editing functionality
    • Opens model modification interface

    Individual Meters List

    Section Title: "Individual Meters (8)"

    • Shows sample of deployed meters for remote maintenance

Meter Statistics and Condition Rules:

  1. Total meters in system is calculated as sum of all individual meters assigned to thethis model
  2. Count indicates partial list view
  3. Detailed inventory tracking at individual meter level
  4. Individual Meter conditionsTable areColumns

    Meter classifiedNo as:Column

    • WM001234 Normal| (functioningWM001235 properly),| RCNTWM001236 (recently| flaggedWM001237 | WM001238 | WM001239
    • Unique meter identification numbers
    • Sequential numbering system for attention),inventory Faultytracking

    Device (requiresNumber repair/replacement)Column

    • DEV-KS-001234 | DEV-KS-001235 | DEV-KS-001236 | etc.
    • ConditionTechnical countsdevice mustidentifiers
    • Format: equalDEV-[Manufacturer theCode]-[Sequential totalNumber]

    Installation metersDate countColumn

    • 2023-01-15 | 2023-01-20 | 2023-02-01 | 2023-02-10 | 2023-02-15 | 2023-03-01
    • Date format: YYYY-MM-DD
    • Chronological deployment tracking for eachwarranty modeland maintenance

    Age (NormalMonths) +Column

    • 28 months | 28 months | 28 months | 27 months | 27 months | 27 months
    • Calculated field showing meter age since installation
    • Important for maintenance scheduling and replacement planning

    Status Column

    • Active (green badge): Operational meters
    • RCNT +(yellow badge): Reading Cannot be Taken
    • Faulty =(red Total)badge): Meters requiring attention
    • Individual meter agecondition istracking

    Action calculatedColumn

    • View in(eye monthsicon): fromOpens installationdetailed dateindividual meter information
    • Links to currentmeter-specific date
    • Metermaintenance numbers must follow utility naming convention (e.g., "WM001234" for water meters)
    • Device numbers are unique identifiers assigned during meter installationhistory and cannot be duplicatedreadings
    • InstallationEnables datemeter-level cannot be future datedmanagement and musttroubleshooting

    Business beRules inand YYYY-MM-DDWorkflow

    Model format
  5. MeterCreation status (Active, RCNT, Faulty) can be updated individually but must align with model condition counts

Dashboard Metrics Rules:Workflow

  1. TotalGeneral manufacturersInformation: count includes only manufacturers with at least one active meterBasic model
  2. Total models count includes all created models regardless of active/inactive status
  3. Total meters count is the sum of all individual meters across all models in the system
  4. Average meters per model is calculated as total meters divided by total models, rounded to nearest whole number
  5. Growth indicators (+2 new this quarter, +3 added this month) are based on model creation dates
  6. Meter type breakdown (Smart, Photo, Manual) counts models, not individual meters
  7. Filter counts update dynamically based on applied search and filter criteria

Access and Security Rules:

  1. Only users with Meter Manager or Meter Supervisor roles can create or edit meter models
  2. Individual meter details can be viewed by Meter Readers and Field Technicians for operational purposes
  3. Bulk operations require Meter Manager role authorization
  4. Meter model deletion is restricted if any individual meters are assigned to the model
  5. Historical meter data must be preserved even when models are archived or deactivated
  6. All meter model changes must be logged with user identification and timestampclassification
  7. Technical Specifications: Physical and performance parameters
  8. Smart Configuration: Advanced features for auditsmart purposesmeters only
  9. Validation: Required field verification and data consistency
  10. Deployment: Model activation and availability for assignments

DataInventory ValidationManagement Rules:Rules

    • AllModels mandatorymust have unique names within manufacturer
    • Required fields must be completed before metersaving
    • Smart meters require additional configuration parameters
    • Meter conditions are tracked automatically based on status reports
    • Individual meters inherit model canspecifications beupon saveddeployment

    Status Management

    • NumericActive: fieldsModel must validateavailable for appropriatenew installations
    • Inactive: Model deprecated but existing meters remain tracked
    • Draft: Model under configuration, not yet deployable

    Integration Points

    • Manufacturer data typelinks to supplier management
    • Model specifications integrate with installation planning
    • Individual meter tracking connects to billing and rangemaintenance constraints
    • Dropdown selections must be from predefined valid options only
    • Text fields must not contain special characters that could cause system issues
    • Duplicate model names under the same manufacturer trigger validation error
    • Technical specifications must be within realistic ranges for utility meterssystems
    • Smart meter configurations mustenable passIoT compatibilityplatform validation before savingintegration

8. Sample Data

Dashboard Metrics:

  • Total Manufacturers: 7
  • Total Models: 7
  • Total Meters: 7,890
  • Average Meters per Model: 1,127
  • Growth Indicators: +2 new this quarter, +3 added this month
  • Meter Type Distribution: Smart (3), Photo (2), Manual (2)

Meter Model Examples:

  1. Kamstrup MULTICAL 603
    • Type: Smart
    • Total Meters: 1,250
    • Conditions: Normal (1,180), RCNT (45), Faulty (25)
    • Utility: Water
    • Created by: John Smith on 2024-01-15
    • Status: Active
  2. Sensus iPERL
    • Type: Smart
    • Total Meters: 890
    • Conditions: Normal (850), RCNT (30), Faulty (10)
    • Utility: Water
    • Created by: Sarah Johnson on 2024-01-20
    • Status: Active
  3. Badger E-Series Ultrasonic
    • Type: Photo
    • Total Meters: 650
    • Conditions: Normal (600), RCNT (35), Faulty (15)
    • Utility: Water
    • Created by: Emily Davis on 2024-02-10
    • Status: Active

Technical Specifications Sample (E-Series Ultrasonic):

  • Manufacturer: Badger
  • Model Name: E-Series Ultrasonic
  • Make Code: KC603
  • Meter Type: Photo
  • Dial Length: 165 mm
  • Dial Count: 8
  • Max Flow: 3.5 m³/h
  • Connection Size: 3/4"
  • Weight: 1.2 kg
  • Accuracy: Class A (±2%)
  • Dimensions: 190 × 105 × 95 mm
  • Material: Brass body, polymer register
  • IP Rating: IP68

Individual Meter Records (E-Series Ultrasonic model):

  1. Meter No: WM001234, Device: DEV-KS-001234, Installed: 2023-01-15, Age: 28 months, Status: Active
  2. Meter No: WM001235, Device: DEV-KS-001235, Installed: 2023-01-20, Age: 28 months, Status: Active
  3. Meter No: WM001236, Device: DEV-KS-001236, Installed: 2023-02-01, Age: 28 months, Status: RCNT
  4. Meter No: WM001237, Device: DEV-KS-001237, Installed: 2023-02-10, Age: 27 months, Status: Active
  5. Meter No: WM001238, Device: DEV-KS-001238, Installed: 2023-02-15, Age: 27 months, Status: Faulty

9. Acceptance Criteria

  1. The system must display accurate dashboard metrics showing total manufacturers, models, meters, and average meters per model
  2. The system must provide visual categorization of meter models by type (Smart, Photo, Manual) with accurate counts
  3. The system must support creating new meter models with all required general information fields
  4. The system must validate that manufacturer and model name combinations are unique within the system
  5. The system must require at least one supported utility selection (Water, Electricity, Gas) for each model
  6. The system must capture comprehensive technical specifications including dimensions, flow rates, and materials
  7. The system must show Smart Meter Configuration section only when meter type is selected as Smart
  8. The system must validate that all numeric fields accept appropriate data types and ranges
  9. The system must automatically populate created by and created on fields with current user and timestamp
  10. The system must display real-time meter condition statistics (Normal, RCNT, Faulty) for each model
  11. The system must calculate individual meter age in months from installation date to current date
  12. The system must provide search functionality across manufacturer and model names
  13. The system must support filtering by meter type, manufacturer, and condition status
  14. The system must display individual meter details including device numbers, installation dates, and current status
  15. The system must prevent deletion of meter models that have assigned individual meters
  16. The system must maintain accurate condition count totals that equal the sum of Normal + RCNT + Faulty meters
  17. The system must support bulk operations for managing multiple meter records
  18. The system must log all meter model changes with user identification and timestamp for audit purposes
  19. The system must validate smart meter configurations for compatibility before saving
  20. The system must display growth indicators showing new manufacturers and models added by time period

10. Process Changes

Current Process

New Process

Impact

Manual entry of technical specifications for each individual meter added to system

Create standardized meter models once, then bulk assign meters based on pre-configured models

80% reduction in data entry time; elimination of specification inconsistencies

No visibility into meter inventory distribution across manufacturers and models

Comprehensive dashboard showing manufacturer, model, and condition analytics with real-time updates

100% visibility into fleet composition enabling data-driven procurement decisions

Reactive approach to meter replacement based on individual failure reports

Proactive replacement planning using condition analytics and age tracking across models

40% improvement in planned vs. reactive maintenance ratio

Limited ability to compare meter performance across different manufacturers

Detailed condition and performance tracking by manufacturer and model with comparative analytics

Enable vendor performance evaluation leading to 25% improvement in procurement ROI

Manual tracking of individual meter installation dates and lifecycle information

Automated age calculation and lifecycle tracking with condition monitoring integration

Complete meter asset lifecycle visibility reducing manual tracking effort by 90%

Inconsistent meter specifications leading to procurement and installation errors

Standardized technical specifications repository with validation rules

95% reduction in specification-related errors and installation issues

Time-consuming search for specific meter information across multiple systems

Unified search and filter capabilities across all meter models and individual units

70% reduction in time spent locating meter information

Limited insight into smart meter configuration and feature utilization

Comprehensive smart meter feature tracking with configuration management

Enable optimization of smart meter investments and feature utilization analysis

11. Impact from Solving This Problem

Metric

Improvement Impact

Data Entry Efficiency

80% reduction in time required to add new meters through standardized model templates

Specification Accuracy

95% reduction in meter specification errors through validated model configurations

Inventory Visibility

100% real-time visibility into meter distribution by manufacturer, model, and condition

Procurement Decision Quality

60% improvement in vendor selection decisions through comparative performance analytics

Maintenance Planning Efficiency

40% shift from reactive to proactive maintenance through condition trend analysis

Asset Lifecycle Management

90% reduction in manual tracking effort through automated age calculation and condition monitoring

Search and Information Access

70% reduction in time spent locating specific meter information through unified search capabilities

Compliance and Audit Readiness

100% audit trail capability with automated logging of all model changes and meter assignments

Smart Meter Optimization

50% improvement in smart meter feature utilization through configuration tracking and management

Overall Operational Efficiency

45% improvement in meter management processes through standardization and automation

12. User Behavior Tracking

Event

Properties

Metrics

Insights

Dashboard_View

user_id, session_duration, metrics_viewed

Dashboard access frequency, Time spent reviewing metrics

How frequently are managers monitoring inventory metrics?

Model_Create

user_id, manufacturer, meter_type, creation_duration, smart_features_enabled

Models created per period, Average creation time, Feature adoption rates

Which meter types and features are being standardized most?

Model_Search

search_term, results_count, selected_model, user_id

Search effectiveness, Common search patterns

How are users finding specific meter models?

Model_Filter

filter_type, filter_value, results_count, user_id

Filter usage patterns, Most common filter combinations

What criteria are most important for model selection?

Model_View

model_id, user_id, view_duration, sections_accessed

Model popularity, Detail consumption patterns

Which models are being reviewed most frequently?

Individual_Meter_Access

model_id, meter_count_viewed, condition_analysis, user_id

Individual meter tracking usage, Condition monitoring frequency

How deeply are managers analyzing individual meter performance?

Condition_Analysis

model_id, condition_type_focused, analysis_duration, user_id

Condition monitoring patterns, Alert response times

Which condition types receive the most attention?

Technical_Specs_Update

model_id, field_updated, old_value, new_value, user_id

Specification change frequency, Most updated fields

Which technical specifications require the most maintenance?

Smart_Config_Enable

model_id, feature_enabled, user_id, timestamp

Smart feature adoption, Configuration trends

Which smart meter features are being utilized most?

Bulk_Operations

operation_type, record_count, user_id, success_rate

Bulk operation usage, Efficiency gains

How effectively are bulk operations improving workflow efficiency?

Performance_Compare

models_compared, comparison_duration, decision_outcome, user_id

Comparative analysis usage, Decision patterns

Which models are being compared for procurement decisions?

Export_Data

export_type, model_selection, user_id, timestamp

Data export patterns, Reporting needs

What meter data is being shared outside the system?

Questions answered by tracking:

  1. What is the correlation between meter model standardization and reduction in data entry errors?
  2. Which manufacturers and meter types are preferred based on model creation and usage patterns?
  3. How effectively are managers using condition analytics to drive maintenance decisions?
  4. What is the adoption rate of smart meter features and which configurations are most valuable?
  5. How does inventory visibility impact procurement timing and vendor negotiation outcomes?
  6. Which technical specifications require the most updates and why?
  7. What is the relationship between model complexity and user adoption rates?
  8. How are bulk operations improving operational efficiency across different user roles?

Wireframe