From Equipment Signals to Production Facts
Identify statuses like startup, operation, debugging, alarm, and shutdown, combined with program numbers, output, spindle, and feed data, to restore the real machining process of the equipment.
Machining Workshop Digital Management System
Machining Workshop Digital Overall Solution
Focused on equipment networking, production execution, and operational improvements in the machining workshop, establishing an integrated digital foundation covering on-site data collection, business analysis, and team collaboration, making production status visible, processes controllable, exceptions traceable, and improvements measurable.
Equipment Networking and Status ModelingMDC / OEE Production AnalysisDNC Program Version ControlWeb + APP Collaborative Execution
Core Value of the System
A unified link from on-site data to business decision-making
The system integrates equipment status, production tasks, program versions, personnel hours, and exception handling into a unified data model, establishing a connection between on-site facts and management actions, avoiding data isolation, responsibility gaps, and improvement without basis.
From Exception Records to Responsibility Closure
Assign alarms, Andon signals, maintenance, servicing, and quality exceptions to specific positions, recording response, handling, confirmation, and closure, instead of staying at the reminder level.
From Statistical Reports to Continuous Improvement
Analyze downtime, cycle time, work hours, and OEE by equipment, station, shift, product, and time slices, identify sources of loss, and verify improvement results.
From the Shop Floor to Management
Make every piece of data return to the production floor
Digital construction isn't about adding another display screen, but connecting equipment, personnel, and management actions into a verifiable workflow.
On-site Data Foundation
Establish production facts from equipment status
Connect CNC, robots, PLCs, and inspection equipment, uniformly collecting operation, alarm, output, program, and key parameters, forming on-site data traceable by equipment, station, and shift.
- Status Recognition and Unified Equipment Identity
- Linking machining processes, alarm causes, and output
Management Coordination Hub
Driving position collaboration through data analysis
Convert equipment exceptions, production progress, work hour deviations, and efficiency indicators into tasks for positions; managers see trends, team leaders see progress, equipment operators handle exceptions, and operators execute tasks according to plans.
- Dashboards, Web, and Mobile displayed by role
- Trace exceptions from response, handling, confirmation to results
Scope and Delivery
Implementation and Delivery
Projects are based on the customer's equipment list and on-site interface conditions, not abstractly promising 'full connectivity'; each phase has clear objects, fields, and acceptance results.
Implementation Targets
Mainly CNC equipment in the equipment list, combined with on-site network, NC system model, and interface conditions to determine networking method; if necessary, add spindle current collection, DI signals, or edge collection modules.
Network to Machine · Equipment Identity · Station Relations
Collected Fields
Collect five types of statuses: power on, power off, running, debugging, and alarm, as well as the number of processed parts, fault codes with start and end times, current program number, spindle speed and spindle-speed override, and feed rate.
Field mapping · Status determination · Data verification
Delivery results
Create device status overview, slice analysis, alarm records, production statistics, DNC program review and deployment, maintenance reminders, exception handling, and Web/APP access.
Page launch · Permission configuration · On-site acceptance
On-site network topology
CNC 01Machine Station Screen
CNC 02Machine Station Screen
CNC 03Machine Station Screen
CNC 04Machine Station Screen
System business loop
Device status and efficiency analysis
Draw device slices based on five statuses: power on, running, debugging, alarm, and power off; click on abnormal periods to view duration, work mode, and alarm records.
- Filter processed parts by device, station, or time
- Calculate utilization rate, downtime reasons, and OEE
Program review and deployment to specified devices
Associate programs with product names, drawing numbers, and devices; programs that are not reviewed can't be issued; once approved, they can be uploaded remotely to specified devices from the Web.
- Program number, file name, creator, reviewer, and review time
- Device program upload, preview, archiving, and version tracking
Automatic cutting time runs alongside manual Production Reporting
The system collects effective cutting time and summarizes it by team and individual; processes that can't be automatically collected keep manual reporting options for production progress and time-based wage verification.
- Shift, personnel, equipment, and actual working hours are linked
- Output, cycle deviations, and progress can be reviewed
Maintenance tasks triggered by running time
Use running, debugging, and manual time as timing criteria, and generate maintenance alerts after reaching the cycle; the tool cabinet covers issuance, approval, lifespan, inventory, and recycling.
- Maintenance confirmation, alarm clearing, and historical records
- Inventory management for main cabinet, secondary cabinet, and recycling cabinet
Exception calls and responsible role handling
On-site, device, material, production, personnel, or quality issues are reported through status boxes. The system pushes notifications to responsible positions according to rules, and processing is done via the APP.
- Exception types, notification positions, and escalation rules configuration
- Order receipt, processing, confirmation, and statistical reports
Establish maintainable equipment master data
Maintain factories, workshops, workstations, equipment types, personnel, and shifts; equipment ledgers can be imported, and the system generates a unique QR code for each piece of equipment for quick on-site location.
- Equipment location, number, type, and responsible personnel
- Display on TV screens, floating screens, web, and mobile
Expected changes
From 'people finding data' to 'data driving management'
The actual effect is verified according to the equipment list, statistical cycle, and on-site baseline; what the system brings first is a sustainable, reviewable, and replicable management mechanism.
Visible
Equipment status and production progress are displayed in a unified way
Controllable
Programs, maintenance, tools, and exceptions follow rules
Traceable
Processes, responsibilities, handling, and results are traceable
Replicable
Models, permissions, and workflows can extend to more production lines