Real-Time PLC-IoT Control Dashboard

@muhammadali33345

You’re essentially building a web-native “mini-SCADA”. I can deliver a production-ready stack that hits your <1s refresh and ≤2s command round-trip, with a clean, role-based UI. Plan & deliverables - PLC + IoT bridge: a protocol-agnostic connector service that normalizes tags/units, handles polling/subscriptions, and verifies command acknowledgements. - Real-time streaming: WebSockets to push live values; SSE option if you prefer simple fallbacks. - Time-series storage: TimescaleDB (recommended) schema/migrations for efficient writes + downsampling; export endpoints for CSV. - Alerts: threshold drift detection, visual flags on the dashboard, and reliable alert logging (timestamp, user, ack status) with optional email/SMS. - Security & UX: view-only vs control RBAC, audit trail, responsive layout for desktop/tablet. - Deployment: concise Docker-based on-prem scripts + env var driven setup. For the UI insertion point, use this tag: Cleverly Friendly: Which PLC brands/protocols and approximate number of tags/sensors will you support initially for sizing the connector and one-second refresh performance? Close: Once we align on the exact PLC brands/protocols and expected sensor counts, we’ll lock the timeline and start wiring end-to-end.

@cesur135

My decade-long experience in industrial automation, particularly in areas like wastewater and water treatment plants and energy automation, has equipped me with a significant understanding of PLC systems that will be essential in delivering this project. In the projects I have previously executed, similar to your requirements, I employed the same veri Drift limits feature hat you seek, where system alerts are promptly flagged and delivered via multiple channels- SMS or email. Given my hands-on proficiency with technologies such as MQTT and extensive work exposure to secure on-prem installations similar to your specification, I am confident in providing the reliable real-time data flow required for your informational needs. Having created web-based systems for monitoring and control in previous projects using tools like WinCC SCADA program reinforces my competence in delivering a clean dashboard with role-based logins to fit your unique requirements. Finally, my expertise wouldn't be complete without mentioning my ability on trend, search and export; functionalities entailed for which a proper database is crucial. With a repertoire of TimescaleDB&TIA

@hayteekeys

HI, KINDLY READ THROUGH MY PROPOSA I will deliver a complete, lightweight browser-based SCADA system that provides real-time monitoring and control for your PLCs and IoT sensors clean dashboard, sub-second updates, reliable command execution, historical trending, and alerts, fully deployable on-prem. MY APPROACH ✅ Phase 1: Backend with OPC UA / Modbus / MQTT connectors, time-series database (InfluxDB), WebSocket real-time streaming, and secure role-based authentication. ✅ Phase 2: Responsive React/Vue dashboard with live values, trends, alarms, and command interface + Docker Compose deployment. RELEVANT PROJECT - Real-time web SCADA for manufacturing line (Siemens PLC + ESP32 IoT sensors) using Node.js + InfluxDB + React + WebSockets. Sub-second updates, command control, alerts, and on-prem Docker deployment. DELIVERABLES - Full source code (frontend + backend) - PLC & IoT connection library - Database schema + migrations - Docker deployment package + detailed README - Hand-off recording covering architecture and operation QUESTIONS 1. Which PLC brands/models and communication protocols are you using (e.g. Siemens S7, Allen-Bradley, Modbus TCP, OPC UA)? 2. How many tags/signals do you need to monitor and control approximately? 3. Any preference for tech stack (e.g. Node.js/Python backend, specific DB, or frontend framework)? Ready to start immediately once we align on the stack and priorities.

@CauaAlves

Hi, I can build the lightweight web-based SCADA layer: live PLC/IoT readings on a clean dashboard, with safe command write-back. What it will do: • Connect simultaneously to traditional PLCs and IoT devices, with ~1s (or faster) updates and rock-solid command acknowledgements. • Store every data point in a time-series database (InfluxDB/TimescaleDB) so you can trend, search and export history. • A clean real-time dashboard with charts and status, plus authorised control commands back to the field. • Role-based access and reliable error handling so operations stay safe. I work daily with backend development, APIs and real-time data visualisation, so the live updates, historian and control path will be dependable. To scope it: which PLCs/protocols (Modbus, OPC-UA, MQTT) and how many tags/devices? Any preference on the time-series DB? With one device's details I'll stand up the live read + dashboard first, then add control.

@jaroslavcaprata

Hi, there. Hope you are doing well. I reviewed your requirements and understand that you need a web-based industrial monitoring and control platform capable of collecting live data from PLCs and IoT devices, visualizing it in real time, storing historical records, and securely sending control commands back to the field. I have experience building real-time monitoring systems involving MQTT, WebSockets, industrial protocols, time-series databases, role-based access control, and responsive dashboards for operational environments. Similar projects have included live telemetry collection, alarm management, device communication layers, trend visualization, and audit logging with strict reliability requirements. For this project, I would implement a scalable architecture with a dedicated data acquisition layer for PLC and IoT connectivity, a real-time messaging pipeline, a time-series database for historical analysis, and a responsive dashboard optimized for both desktop and tablet use. Alerting, command acknowledgements, user permissions, and activity logging will be designed to ensure operational transparency and reliability. The entire solution will be containerized and documented for straightforward on-premise deployment behind your firewall. I am confident in delivering a stable, maintainable platform with fast data updates, secure control workflows, and clear documentation for long-term operation and expansion. Thanks.

@mahads31

Hi, I have experience building real-time monitoring and control platforms involving industrial devices, APIs, WebSockets, MQTT, dashboards, and time-series data storage. For this project, I would recommend a stack using React, Node.js/Python, MQTT/WebSockets, and InfluxDB or TimescaleDB to achieve sub-second updates, reliable command acknowledgements, historical trending, alerts, and role-based access control while remaining easy to deploy on-premise via Docker. A few questions: Which PLC brands and protocols are involved (Modbus TCP, OPC UA, Siemens S7, Allen-Bradley, etc.)? Approximately how many devices and data points will be monitored initially? Do you already have an SMS/email provider for alerts, and is high availability required for the first release? I can deliver the complete SCADA-style solution, including the PLC/IoT integration layer, responsive dashboard, database setup, deployment scripts, documentation, and handoff session, with a strong focus on performance, scalability, and maintainability. Regards, Solves Inn

@jagratip3

Hi, I have 13+ years of experience in .NET and strong hands-on expertise in building real-time industrial monitoring systems, SCADA-style dashboards, and IoT integrations using .NET Core, SignalR, and MQTT-based architectures. I’ve previously delivered similar systems involving: • Real-time machine/PLC data dashboards using WebSockets/SignalR • IoT sensor ingestion pipelines (MQTT → backend → time-series DB like InfluxDB/TimescaleDB) • Role-based control panels for live command execution with audit logging • Low-latency alerting systems with email/SMS triggers and rule engines • On-prem deployments using Docker and Windows/Linux services behind firewalls For your project, I would typically design: • Backend: .NET Web API + SignalR for real-time streaming • Device layer: MQTT/OPC-UA adapters for PLC & IoT connectivity • Database: TimescaleDB or InfluxDB for efficient time-series storage • Frontend: Blazor or React dashboard with live charts + role-based controls • Deployment: Dockerized setup with simple offline/on-prem install script I understand your key benchmarks (sub-1s refresh, ≤2s command round-trip, reliable alerting) and will structure the system around event-driven, low-latency messaging to meet them consistently. Happy to discuss the PLC protocols you’re using (Modbus, OPC UA, Ethernet/IP, etc.) so I can align the integration layer correctly from day one.

@niralp4

Dear Client, I have worked on real-time monitoring and industrial automation solutions involving PLCs, IoT devices, telemetry collection, live dashboards, alerting systems, and role-based control panels. One recent project involved collecting live machine data via Modbus/MQTT, storing time-series data, generating alerts, and providing operators with a real-time monitoring dashboard and historical reports. For your solution, I would recommend React + FastAPI/Node.js, WebSockets/MQTT for real-time communication, and InfluxDB or TimescaleDB for historical storage and analytics. This architecture can comfortably support sub-second updates, reliable command acknowledgements, alert management, and on-premise deployment. The deliverables will include the dashboard, PLC/IoT connectivity layer, database schema, documentation, and deployment setup. I would be happy to discuss the PLC models, communication protocols (Modbus TCP, OPC-UA, MQTT, etc.), and finalize the architecture. Best regards, Niral Patel

@sandipm1307

With my extensive experience in industrial automation and PLC programming, I am confident that I can deliver a robust and efficient solution for your real-time PLC-IoT control dashboard. My familiarity with essential industrial communication protocols like Modbus TCP/RTU, OPC UA, Ethernet/IP, and MQTT will allow me to seamlessly bridge traditional PLCs with modern IoT devices, ensuring reliable data transmission and command acknowledgement. What sets me apart is not just my technical expertise but also my practical understanding of site conditions and troubleshooting requirements. This knowledge permits me to design resilient systems that perform flawlessly even in challenging environments. My previous projects with Python, Node-RED, Google Sheets, and cloud-based systems for real-time monitoring demonstrate my ability to work with diverse technologies and platforms - a skill that will prove invaluable in realizing your project vision. Moreover, I prioritize clean code and thorough documentation - both of which are vital for seamless handovers and future builds. I am excited about the prospect of leveraging a time-series database like InfluxDB or TimescaleDB in your project but am equally open to exploring other options if required. Let's get started on a highly-functional PLC-IoT control dashboard that aligns perfectly with your needs. Together, we can automate your processes, reduce manual work, and boost system performance

@ThynkLoop

Hi, I can develop a browser-based Industrial IoT and PLC monitoring dashboard that provides real-time data visualization, secure control, historical data storage, and reliable communication between PLCs, IoT devices, and your existing cloud infrastructure. The system will be designed as a lightweight web-based SCADA solution with fast updates, secure user access, and scalable architecture. I have experience with Industrial IoT, MQTT, PLC communication, REST APIs, WebSockets, real-time dashboards, database design, and embedded systems integration. The solution will focus on reliable industrial communication, low-latency updates, role-based security, and easy on-premises deployment. Proposed Approach • Develop a backend to connect with PLCs and IoT devices using MQTT, Modbus, or other suitable industrial protocols • Build a responsive web dashboard with live data visualization, trends, alarms, and device status updates • Implement WebSockets or MQTT for real-time updates with refresh times under one second • Integrate a time-series database (InfluxDB or TimescaleDB) for historical storage, search, and export functionality • Add role-based authentication, command execution, alert notifications, audit logging, and secure communication Deliverables • Frontend and backend source code • PLC and IoT communication modules • Database schema and migration files • Handover session and documentation

@hugog17

⭐️⭐️ Hi there! ? The part that's genuinely hard here isn't streaming data to a dashboard — it's the PLC bridge layer, since mixing traditional PLC protocols (Modbus/OPC-UA) with modern IoT devices (MQTT) on one reliable polling/command loop is where most "SCADA-lite" builds quietly fail under real field conditions, not in the UI. I've built real-time industrial monitoring systems with this shape before — bridging PLC protocols and IoT sensors into a single live dashboard with sub-second updates and command acknowledgement, not just one-way readouts. I'd use Node.js with a Modbus/OPC-UA library for PLC connections and MQTT for IoT devices, normalizing both into one data layer feeding TimescaleDB for history and WebSockets for live UI updates. Command round-trips get an explicit acknowledgement step logged with timestamp and user, not just "command sent" — that's what makes the round-trip actually rock-solid instead of assumed. Key thing is testing command acknowledgement and alert thresholds against your real PLCs early, before building out the full dashboard UI — protocol quirks tend to surface there, not in the frontend. You'll get source, the connection bridge, schema/migrations, README, and a hand-off walkthrough. Timeline: 12-14 days Budget: ₹58,000 INR Which PLC protocol are you running — Modbus, OPC-UA, or something proprietary — so I can confirm the bridge approach before locking in the timeline)

@Apponn

Hey there, I went through your requirements and understand you're looking for a real-time PLC and IoT monitoring platform with live data streaming, role-based access, alerts, historical data storage, and secure control capabilities. I already have experience with similar industrial automation and IoT solutions and would be happy to share a relevant demo. I recommend building this with React, Node.js, WebSockets/MQTT, and InfluxDB for fast, reliable real-time performance. I'll ensure the system is scalable, responsive, and easy to deploy on-prem using Docker. I'll also provide the best solution based on your budget without compromising on quality. I'd love to discuss your project and get started. Thanks, Rohit

@kratika0510

Hello lets connect over chat out team work and deployed multiple hands on project in iot that align perfectly with your requirements. I, along with my experienced team of developers, have built real-time monitoring systems using different web technologies including HTML, CSS, PHP and Python. We have successfully integrated various PLCs and IoT sensors in those projects, showcasing our versatility with different protocols. In addition, our expertise extends to selecting the best databases for storing data points. We fully understand how crucial it is to easily trend, search and export historical data and we have worked extensively with time-series databases such as InfluxDB and TimescaleDB. Our ability to stream readings to the UI in real-time using WebSockets or MQTT can ensure that you always stay updated on live values. Moreover, we understand the importance of a clean and responsive interface that works seamlessly across devices. With us on board, you can rest assured that your project will be delivered within the timeline specified. We always provide comprehensive documentation for our solutions and will also offer a short hand-off session so that you gain a thorough understanding of the architecture. Let's mitigate the need to wait, and start building this amazing system together!

@Sanjaysingh2018

I am professional embedded iot engineer and I have already running dashboard which I can show a demo . I have already worked and has running dashboard for my client. Drop message to discuss more and I am from india .

@trb2004

❤️Hi there❤️ Your project to build a browser-based real-time monitoring system for PLCs and IoT sensors aligns perfectly with my expertise in developing similar solutions. I am confident in delivering the required source code, database schema, and deployment script within the specified timeline. Please take a look at my profile for more details. I am excited about the opportunity to work on this innovative project that combines traditional PLCs and modern IoT devices to provide real-time monitoring capabilities. I am confident in meeting the project requirements and delivering high-quality results to enhance your operations seamlessly. Looking forward to connecting with you to discuss the project further and collaborate effectively to meet the set deadline. Warm regards, Thaveesha

@rajnishm10

Hello, Your project aligns well with our expertise in real-time web applications, Industrial IoT, and enterprise software development. At RedLinux Techno Solutions Pvt. Ltd., we have delivered solutions involving real-time device communication, live monitoring dashboards, MQTT-based messaging, role-based access control, and scalable backend architectures. For your SCADA-like platform, we can deliver: Integration with PLCs and IoT devices using protocols such as MQTT, Modbus TCP/RTU, OPC UA, or REST APIs (depending on your hardware). Real-time data streaming with WebSockets/MQTT, ensuring dashboard updates in under one second. Reliable command execution with acknowledgment tracking and complete audit logging. Time-series data storage using InfluxDB or TimescaleDB for historical trends, analytics, and exports. Responsive dashboard with role-based authentication, alarm management, and configurable email/SMS notifications. Dockerized deployment with complete documentation, installation scripts, and a knowledge transfer session. We are available to start immediately and would welcome the opportunity to discuss your architecture and project goals. Best regards, Rajnish Mishra CEO RedLinux Techno Solutions Pvt. Ltd.

@nikhilk2012

I will complete the project in 15 days using an agile development approach. Days 1–2 will cover requirement analysis, architecture, and project setup. Days 3–5 will focus on frontend, backend, database, and authentication. Days 6–8 will implement PLC/IoT communication, real-time data processing, and dashboard development. Days 9–11 will add control features, alerts, data logging, and reporting. Days 12–13 will focus on testing, optimization, bug fixes, and Docker deployment. Days 14–15 will include final QA, documentation, client feedback, and production deployment, ensuring a stable, secure, scalable, and well-documented solution delivered on time.

@Sidharth0221

As a dedicated and experienced web developer, I have a strong understanding of the intricacies required for real-time monitoring and industrial IoT projects. My arsenal of skills includes proficiency in a range of protocols such as WebSockets, MQTT, and SSE that are essential for this project. In addition to this, I have hands-on familiarity with implementing time-series databases such as InfluxDB and TimescaleDB which would be pivotal for preserving and retrieving store readings. My commitment to producing clean and responsive interfaces perfectly aligns with your requirement of compatibility across devices. Furthermore, my ability to provide concise yet comprehensive documentation will ensure that you can maintain and troubleshoot the system easily after the hand-off session. Ultimately, what sets me apart is my unwavering enthusiasm for marrying innovation with functionality in my work. By opting for my services, you are not just getting a capable developer but also someone who truly understands the intersection of technology, creativity, and user experience - crucial for building an effective control dashboard like yours. Let's discuss your tech stack preferences in-depth, establish the timeline, and get started!

@hakan1022

Hi, there! I recently developed a real-time monitoring dashboard for an industrial facility that integrated multiple PLCs and IoT sensors to track operational metrics and control processes. This project involved creating a web-based interface that displayed live data and allowed users to send commands back to the devices. In that project, I implemented WebSockets for real-time data streaming and utilized InfluxDB for time-series data storage, which facilitated efficient trending and historical analysis. A significant challenge was ensuring that command acknowledgements were received reliably within strict time constraints, which I addressed by optimizing the communication protocols and implementing robust error handling. This resulted in a responsive system that provided timely alerts for critical thresholds. For your PLC-IoT control dashboard, I plan to establish a similar architecture that supports simultaneous connections to various devices while ensuring data refresh rates meet your requirements. My unique approach includes designing a responsive UI with role-based access control and integrating a reliable alerting system that logs events for accountability. If I use my previous experience, your project will likely be completed successfully. Hope to discuss this in detail. Through detailed discussion, I think I can find a better solution to finish your project successfully. Thank you!