MQTT data flow
Broker-based publish/subscribe communication for PLC gateways, ESP32 nodes, and browser-ready dashboards.
Factory visibility for machine status, alarms, production counters, energy, and process data.
Java Electrindo helps factories connect PLCs, gateways, sensors, and dashboards into one practical monitoring system for operators, technicians, and supervisors.
The system should not stop at one screen. It should connect field data, alarm visibility, operator use, and practical reporting.
Broker-based publish/subscribe communication for PLC gateways, ESP32 nodes, and browser-ready dashboards.
Live status, trends, counters, alarm summaries, and payload tables for operators, engineers, and supervisors.
Gauge, lamp, trend, event log, payload inspection, and role-based reporting blocks for day-to-day operations.
Both matter. Modbus is practical for reading industrial devices and machine registers. MQTT is practical for distributing that data into dashboards, alarms, and remote visibility.
MQTT uses publish/subscribe messaging through a broker. It is a strong fit for dashboard visibility, alarms, event distribution, and browser-based monitoring.
Modbus uses register-based communication for PLCs, meters, VFDs, and instruments. It is a practical base layer for local machine data collection before SCADA or MQTT distribution.
A practical dashboard should show the values that help operators, technicians, and supervisors act faster.
Run, stop, idle, fault, mode, cycle state, and simple production condition visibility.
Batch count, output count, reject count, shift target, and simple productivity tracking.
Temperature, pressure, level, flow, humidity, pH, and other process feedback values.
Voltage, current, kWh, load trend, demand pattern, and basic energy visibility.
Fault code, alarm time, recovery status, repeated alarm pattern, and maintenance priority.
Dashboard screens, trend charts, event logs, payload tables, and role-based operation views.
A useful SCADA and IoT dashboard should combine machine status, process values, counters, energy, alarms, and operator-facing event visibility in one clean operational screen.
Different sectors care about different data points. The monitoring structure should follow the actual process and operating risk.
Monitor irrigation pumps, greenhouse climate, water tank level, flow, and utility alarms for practical field visibility.
Monitor room temperature and humidity, differential pressure, batch status, alarms, and utility condition with stronger discipline.
Monitor dyeing cycle, machine status, temperature, chemical dosing, batch progress, and alarm visibility across dyehouse operations.
Monitor station status, cycle time, torque process, line stoppage, Andon escalation, and repeat downtime patterns.
Monitor burner temperature, chamber pressure, fan status, feed conveyor, and critical alarms so the incinerator runs safely and consistently.
Monitor chilled water temperature, supply and return, pump status, pressure, room condition, and utility alarms for plant comfort and process stability.
The purpose is practical: make machine conditions easier to see, respond to, and analyze without waiting for manual reports from the production floor.
Machine status, counters, alarms, and sensor values can be shown in one dashboard.
Trend and alarm data help technicians notice abnormal patterns earlier.
Data can come from PLC gateways, ESP32, HMI gateways, sensor nodes, or edge devices.
A practical deployment usually combines overview KPIs, trend charts, active alarms, and a simple event or payload table.
Not every dashboard stops at visibility. Some projects also need KPI logic such as OEE, reject quality, and counted output for production accountability.
Track availability, performance, quality, and total OEE so teams can see whether downtime, speed loss, or rejects are reducing effective output.
Useful for pharmaceutical or packaging lines that must count accepted capsules, detect rejects, and review quality trends by shift or batch.
The system can be adapted to the available machine, panel, gateway, and network condition.
A public-ready monitoring page should show not only data sources, but also who uses the dashboard and how the reporting cycle supports decisions.
A controlled workflow helps avoid unclear data points, unsafe control assumptions, and dashboard confusion.
List tags, topics, machine status, sensor values, counters, and alarms.
Connect PLC, edge device, ESP32, or HMI gateway to a reliable data path.
Create display blocks, gauges, lamps, trends, payload tables, and alarm views.
Validate update behavior, operator flow, alarm logic, and safe permission boundaries.
Prepare usage notes, topic references, login roles, and maintenance guidance.
Open the controlled dashboard, enter as guest, and test MQTT display blocks, trends, and payload inspection.
Live SO₂, NOₓ and CO simulation data, trends, alarm visibility, email reports and AI-assisted summaries.