Industrial Internet of Things (IIoT) Design & Development Services
At Sahoma Controlware, we are dedicated to transforming industries through our cutting-edge Industrial Internet of Things (IIoT) Services. Our comprehensive solutions harness the power of data and connectivity, providing a wide range of services and platforms to address unique customer challenges in the realm of IIoT.
What We Offer:
IIoT Hardware Engineering & Design: Customized hardware solutions designed to connect and monitor industrial assets, sensors, and devices for real-time data acquisition and analysis.
IIoT Software Development: Cutting-edge software development for IIoT applications, including cloud-based platforms, data analytics, and visualization tools for actionable insights.
Sensor Integration & Deployment: Seamless integration of sensors and actuators into existing industrial systems, enabling data-driven decision-making and process optimization.
Edge Computing Solutions & Deployments: Deploying intelligent edge devices for data processing and analytics at the source, reducing latency and optimizing bandwidth usage.
Connectivity & Communication: Implementing robust communication protocols, such as MQTT and OPC UA, to establish secure and reliable connections between IIoT devices and the central system.
Cybersecurity & Data Protection: Ensuring the highest level of cybersecurity measures to protect critical industrial data and prevent unauthorized access.
Predictive Maintenance: Utilizing machine learning algorithms and AI-driven analytics to enable predictive maintenance, reducing downtime and increasing asset reliability.
Integration with Industrial Automation Systems: Integrating IIoT solutions with existing industrial automation systems, such as SCADA, DCS, and PLCs, for enhanced process control and efficiency.
Cloud-Based IIoT Development & Implementation: Building scalable and flexible cloud-based architectures to store, analyze, and manage large volumes of industrial data in real-time.
Remote Monitoring & Control: Enabling remote monitoring and control of industrial processes and assets through user-friendly interfaces and mobile applications.
Data Visualization & Reporting: Developing interactive dashboards and custom reports to present critical insights and KPIs for effective decision-making.
IIoT System Deployment & Maintenance: Full-cycle support, from initial system deployment to ongoing maintenance and upgrades, ensuring optimal performance and reliability.
Why Choose Sahoma Controlware:
Proven Track Record: Sahoma Controlware has a solid track record of successfully delivering IIoT projects and solutions for a diverse range of industries. Our satisfied clients attest to our commitment to excellence and dedication to delivering results.
Customer-Centric Approach: We prioritize our clients’ needs and goals, working closely with them to understand their challenges and develop solutions that drive real value. Our customer-centric approach ensures that we always put our clients first.
Expert Team: Our team of experienced and skilled professionals brings expertise in IIoT, data analytics, cloud computing, cybersecurity, and more. With a passion for innovation, we strive to deliver the best outcomes for our clients.
End-to-End Support: From the initial strategy development to implementation, monitoring, and ongoing support, Sahoma Controlware provides comprehensive end-to-end support throughout your IIoT journey. We are committed to ensuring your success every step of the way.
Focus on Data Security: We understand the importance of data security in the IIoT landscape. Our solutions include robust cybersecurity measures to protect your critical information and ensure compliance with industry regulations.
Global Reach: With offices in the Europe (Zurich Switzerland), and United States for project execution capabilities in North America, South America, Sahoma Controlware has a global reach to serve clients across the world.
Choose Sahoma Controlware as your trusted IIoT partner, and embark on a transformative journey towards increased efficiency, productivity, and innovation in your industry. Experience the power of data-driven decision-making and unleash the full potential of your business with our cutting-edge IIoT Services.
Resolutions to Common Customer Problems:
Improved Operational Efficiency: Our IIoT solutions streamline processes, reduce downtime, and optimize resource utilization, leading to enhanced operational efficiency and productivity.
Data-Driven Decision Making: Real-time data analytics empowers businesses with valuable insights for data-driven decision-making, increasing agility and competitiveness.
Enhanced Asset Performance: Predictive maintenance capabilities ensure proactive monitoring and timely intervention, extending asset lifespan and minimizing maintenance costs.
Remote Monitoring and Control: Our IIoT services enable remote monitoring and control, allowing businesses to manage operations from anywhere and improving accessibility and flexibility.
Data Security and Compliance: Robust cybersecurity measures safeguard critical data and ensure compliance with industry regulations, guaranteeing data integrity and confidentiality.
Below are the industries in which we design and development Industrial Internet of Things (IIoT) solutions for both the edge and cloud:
Project Process
Define Project Scope: We work closely with our clients to clearly outline the project's goals, deliverables, and boundaries. By defining the scope upfront, we ensure that all stakeholders have a shared understanding of the project's objectives and limitations.
Define Schedule: Developing a well-structured project schedule is essential for effective time management and resource allocation. Our team meticulously plans the project timeline, considering critical milestones and dependencies.
Define Budget (+/- 50%): Accurate budget estimation is crucial for project success. We carefully analyze the project scope, resource requirements, and potential risks to provide a realistic budget estimate, allowing for flexibility during the project's execution.
Develop Business Case: As part of the conceptualization phase, we collaborate with our clients to develop a comprehensive business case. This involves assessing the project's strategic alignment, potential benefits, and risks, ensuring that it aligns with the overall organizational objectives.
Cost Benefit Analysis: Our team conducts a thorough cost-benefit analysis to assess the project's financial viability. We evaluate the anticipated costs against the expected benefits to determine the project's potential return on investment.
Return on Investment (ROI): Understanding the ROI is crucial for making informed decisions about project prioritization and resource allocation. We work closely with our clients to calculate the projected ROI, helping them make data-driven choices.
NOTE: Internal Cost
During the conceptualization phase, we emphasize transparency, collaboration, and thorough analysis to ensure that our clients' projects are well-defined and have a solid foundation. By working together in this critical stage, we set the stage for successful project execution and long-term value creation. Trust Sahoma Controlware to guide you through the Conceptualization phase and lay the groundwork for a successful and rewarding project journey.
Project Scoping and Requirements Gathering: Define the scope and objectives of the IIoT project in collaboration with the client. Conduct extensive requirements gathering to understand the specific needs, pain points, and desired outcomes.
Feasibility Study: Assess the technical and economic feasibility of the IIoT implementation. Identify potential challenges and risks, as well as opportunities for optimization.
System Architecture Design: Develop a high-level system architecture that outlines the components, data flow, communication protocols, and integration points within the IIoT ecosystem.
Sensor and Device Selection: Identify the most suitable sensors, devices, and actuators for data collection and control within the industrial environment. Consider factors like accuracy, reliability, and compatibility.
Data Integration Plan: Formulate a plan for seamless integration of data from various sources, including legacy systems, sensors, and third-party applications. Define data formats and protocols for smooth data flow.
Communication Infrastructure Design: Design a robust communication infrastructure that facilitates reliable data transmission between edge devices and cloud-based platforms. Select communication protocols such as MQTT, OPC UA, or LoRaWAN.
Edge Computing Strategy: Determine the optimal edge computing approach to process data locally and reduce latency for real-time decision-making. Define edge analytics and processing capabilities.
Security and Privacy Considerations: Develop a comprehensive security strategy to safeguard IIoT data, devices, and communication channels. Implement encryption, access controls, and other security measures to mitigate potential threats.
User Interface Design: Design intuitive and user-friendly interfaces for real-time monitoring, analytics, and control. Ensure that data visualization and reporting meet the specific needs of end-users.
Data Storage and Analytics Plan: Determine the appropriate cloud-based or on-premises data storage solution for the IIoT project. Develop an analytics plan to extract valuable insights from the collected data.
Scalability and Future Expansion: Design the IIoT system with scalability in mind to accommodate future growth and expansion. Consider factors like increased data volume, additional devices, and integration with other systems.
Cost Estimation and Budgeting: Provide a detailed cost estimation for the front-end engineering design phase. Create a budget for the IIoT project, taking into account equipment, software, personnel, and other expenses.
Risk Assessment and Mitigation: Identify potential risks and uncertainties associated with the IIoT project. Develop risk mitigation strategies to ensure smooth project execution.
Documentation and Project Plan: Prepare comprehensive documentation of the front-end engineering design, including architectural diagrams, specifications, and project plan with milestones and timelines.
NOTE: Lump Sum 10% Conceptualization - Value
The front-end engineering design phase lays the foundation for a successful IIoT project, ensuring that all key aspects are thoroughly evaluated, planned, and designed before moving forward with implementation.
Detailed System Design: Based on the front-end engineering design, create a detailed system design that encompasses all components, interfaces, and data flows. Collaborate with stakeholders to finalize the design.
Hardware and Software Selection: Procure and integrate the selected hardware components, such as sensors, actuators, gateways, and edge devices. Choose suitable IIoT platforms and software for data processing, analytics, and visualization.
Prototyping and Testing: Develop prototypes and conduct rigorous testing to validate the functionality and performance of the IIoT system. Address any issues or gaps identified during testing.
Data Integration and Connectivity: Implement data integration solutions to ensure seamless connectivity between various devices and systems. Set up APIs and data exchange protocols for smooth data transfer.
Edge Computing Deployment: Deploy edge computing capabilities, if applicable, to process data locally and reduce latency for real-time decision-making in industrial environments.
Cloud Platform Configuration: Configure and set up the cloud-based IIoT platform, ensuring scalability, security, and compliance with industry standards. Establish data storage and analytics capabilities.
Advanced Analytics and AI Integration: Integrate advanced analytics and artificial intelligence (AI) algorithms to derive valuable insights from the collected data. Implement predictive maintenance, anomaly detection, and optimization solutions.
User Interface and Visualization: Develop user-friendly interfaces and dashboards that provide real-time data visualization, alerts, and reporting. Ensure the user interface meets the specific requirements of end-users.
Cybersecurity Implementation: Strengthen the cybersecurity measures to protect the IIoT system from potential threats. Implement encryption, access controls, and security protocols to safeguard data and devices.
Performance Optimization: Fine-tune the IIoT system to optimize performance, scalability, and responsiveness. Conduct load testing to ensure the system can handle increased data volume and user demand.
Data Privacy and Compliance: Address data privacy and compliance requirements, especially in industries with stringent regulations. Ensure that data is handled and stored securely and in accordance with applicable laws.
Integration with Existing Systems: Integrate the IIoT system with existing enterprise systems, such as SCADA, ERP, and CRM, to facilitate seamless data exchange and streamline operations.
Training and Knowledge Transfer: Provide training to end-users, operators, and maintenance personnel to ensure they are proficient in using the IIoT system and leveraging its capabilities effectively.
Documentation and Handover: Create comprehensive documentation of the engineering and development phase, including system configurations, software codes, user manuals, and maintenance guidelines. Hand over the fully functional IIoT system to the client.
NOTE: Lump Sum - 60% FEED - Value
The engineering and development phase transforms the detailed system design into a fully operational IIoT solution. With meticulous implementation and rigorous testing, Sahoma Controlware ensures that the IIoT system is robust, secure, and ready to deliver transformative outcomes for the client's industrial operations.
Pre-Commissioning Review: Conduct a pre-commissioning review to ensure that all engineering and development activities have been completed as per the design and project requirements.
Functional Testing: Perform functional testing of each IIoT component and subsystem to validate their proper functioning and adherence to the design specifications.
Data Validation and Accuracy: Verify the accuracy and integrity of data collected from sensors and devices, ensuring that the IIoT system accurately reflects the real-world industrial processes.
Connectivity and Communication Testing: Test the connectivity and communication links between edge devices, gateways, cloud platforms, and other systems to ensure seamless data transmission.
Performance Verification: Assess the IIoT system's performance against predetermined benchmarks and expected outcomes to confirm that it meets the desired performance criteria.
Security and Cybersecurity Audit: Conduct a thorough audit of the IIoT system's security features and protocols to identify potential vulnerabilities and ensure robust cybersecurity measures are in place.
User Acceptance Testing: Involve end-users in the testing process to validate the user interface, functionality, and usability of the IIoT system, ensuring it aligns with their operational needs.
Fault Tolerance and Redundancy Testing: Evaluate the IIoT system's fault tolerance and redundancy mechanisms to verify that it can handle failures and continue to operate reliably.
Integration Testing: Test the integration between the IIoT system and existing enterprise systems, verifying that data exchange and synchronization are functioning as intended.
Performance Optimization: Fine-tune the IIoT system to optimize performance, responsiveness, and efficiency based on the feedback from testing and end-users.
Documentation and Reporting: Document all commissioning activities, test results, and any modifications made during the process. Provide comprehensive reports to stakeholders.
Training and Handover: Conduct training sessions for operators and maintenance personnel to familiarize them with the commissioned IIoT system. Hand over the system to the client for operational use.
Post-Commissioning Support: Offer post-commissioning support and troubleshooting assistance to address any issues that may arise during the initial operation of the IIoT system.
Performance Evaluation: Continuously monitor and evaluate the performance of the commissioned IIoT system, making necessary adjustments and improvements as required.
NOTE: Time & Materials 30% FEED- Value
The commissioning phase ensures that the IIoT system is fully operational, reliable, and meets the client's expectations. Sahoma Controlware's meticulous commissioning process ensures that the IIoT solution seamlessly integrates into the client's industrial operations, enabling them to harness the full potential of Industrial Internet of Things technology for enhanced productivity and efficiency.
System Initialization: Power up all IIoT devices, sensors, gateways, and communication infrastructure to initiate the startup process.
Data Acquisition and Validation: Verify that data acquisition from sensors and devices is functioning correctly and that data is being transmitted to the cloud platform or edge devices as intended.
Network Connectivity Check: Ensure that all communication links and connections are established and functioning properly. Verify the connectivity between edge devices, gateways, and cloud platforms.
Data Integration and Synchronization: Validate that data integration between the IIoT system and existing enterprise systems is seamless and synchronized, enabling data exchange and real-time updates.
Alarm and Alert Configuration: Configure alarms and alerts based on predefined thresholds to trigger notifications for abnormal conditions or critical events.
Performance Monitoring: Monitor the IIoT system's performance to evaluate its efficiency, responsiveness, and data processing capabilities.
Real-Time Data Visualization: Verify that the real-time data collected by the IIoT system is accurately displayed on user interfaces and dashboards.
User Training and Familiarization: Provide training to end-users and operators on how to effectively use and navigate the IIoT system for data monitoring, analysis, and decision-making.
Testing of Control and Automation: If applicable, test the IIoT system's control and automation capabilities to ensure proper functionality and response to commands.
Cybersecurity Audit: Conduct a final cybersecurity audit to validate that all security measures are in place to protect the IIoT system and its data from potential threats.
Performance Optimization: Fine-tune the IIoT system's performance based on the insights gathered during the startup phase and end-users' feedback.
Post-Startup Support: Offer post-startup support to address any issues or questions that arise during the initial use of the IIoT system.
Performance Evaluation and Reporting: Continuously monitor and evaluate the IIoT system's performance during the initial operational phase. Prepare comprehensive reports for stakeholders.
Handover and Project Completion: Formally hand over the fully operational IIoT system to the client, marking the successful completion of the project.
NOTE: Time & Materials
The startup phase marks the transition from testing to full operational deployment of the IIoT system. Sahoma Controlware's diligent startup procedures ensure that the IIoT solution is functioning optimally, empowering the client to unlock the full potential of Industrial Internet of Things technology for enhanced productivity and business insights.
Platform Support
At Sahoma Controlware, we pride ourselves on offering comprehensive platform support to cater to the diverse needs of our clients in the Industrial Internet of Things (IIoT) domain. Our expertise extends to a wide range of IIoT platforms, ensuring seamless integration, real-time data processing, and advanced analytics capabilities. Here are some of the key platforms we support:
We leverage the power of Microsoft Azure IoT to build scalable, secure, and intelligent IIoT solutions. Azure IoT provides robust cloud services, data storage, and analytics tools to enable real-time data insights and predictive maintenance.
With Amazon Web Services (AWS) IoT Core, we enable clients to connect, manage, and secure their IIoT devices and applications at scale. AWS IoT Core offers reliable and cost-effective cloud infrastructure for industrial-grade IoT deployments.
We harness the capabilities of Siemens MindSphere, a cloud-based IIoT operating system that empowers industries to connect, analyze, and visualize their operational data for enhanced efficiency and innovation.
We implement PTC ThingWorx, a leading IIoT platform that provides rapid application development, machine learning, and augmented reality capabilities to drive digital transformation in industrial settings.
We unlock the potential of GE Predix, an IIoT platform designed for industrial-scale data management, analytics, and machine learning applications to optimize asset performance and operations.
We utilize Ignition's powerful industrial automation platform for real-time data collection, visualization, and control. Ignition offers flexible and scalable solutions to meet the unique needs of your IIoT projects.
We implement Factory Studio's advanced IIoT platform (FrameWorX) for building comprehensive data-driven applications that drive operational efficiency and improve decision-making.
We leverage HighByte's data integration platform to securely and efficiently connect your industrial assets, enabling data flow and interoperability across your IIoT ecosystem.
Ensure seamless communication and data exchange between IIoT devices with HiveMQ's robust MQTT broker, supporting real-time and scalable IoT deployments.
Benefit from Flow Software's data integration and automation platform, facilitating seamless data exchange between disparate systems for streamlined operations and decision-making.
Our team of experienced professionals is well-versed in these platforms, enabling us to deliver tailored IIoT solutions that align with your specific industry requirements and business objectives. With a strong focus on platform support, Sahoma Controlware ensures that your IIoT projects are future-proof, scalable, and equipped to drive innovation and productivity in your industrial operations. Choose us as your trusted IIoT partner to embark on a transformative journey into the realm of intelligent industrial connectivity.
Brochures
View our General Services
Brochure for an easy to read guide on all of the services offer.
Protocol Support
At Sahoma Controlware, we understand that seamless communication and data exchange are critical for the success of Industrial Internet of Things (IIoT) projects. Our expertise extends to a wide range of communication protocols, ensuring efficient and secure data transmission between devices, sensors, and cloud platforms. Here are some of the key protocols we support:
MQTT (Message Queuing Telemetry Transport) is a lightweight and efficient messaging protocol, MQTT is ideal for IIoT applications with limited bandwidth and low-power devices. It ensures reliable and real-time data transmission, making it suitable for remote monitoring and control.
MQTT Sparkplug is an industrial IoT standard that provides a unified and efficient way to structure and transmit data between IIoT devices and applications. It optimizes data payloads for reduced network bandwidth and enables seamless integration with MQTT brokers.
OPC UA is a standardized and secure communication protocol for industrial automation and IIoT applications. It facilitates interoperability between different devices and systems, enabling seamless data exchange.
Modbus is a widely used serial communication protocol in industrial automation and SCADA systems. It enables communication between different devices and sensors, making it suitable for IIoT deployments with legacy equipment.
CoAP (Constrained Application Protocol) is a lightweight protocol designed for resource-constrained devices in IIoT applications. It is ideal for low-power and small footprint devices, ensuring efficient data transfer over constrained networks.
The HyperText Transfer Protocol (HTTP) and its secure version (HTTPS) are commonly used for web-based communication in IIoT applications. They provide a simple and familiar way to exchange data between devices and cloud services.
AMQP (Advanced Message Queuing Protocol) is a messaging protocol that enables reliable and secure data transmission in IIoT environments. It supports asynchronous messaging and ensures efficient delivery of messages.
DDS (Data Distribution Service) is a data-centric middleware protocol that supports real-time, scalable, and secure data exchange in distributed IIoT systems. It is well-suited for complex and mission-critical applications.
Zigbee is a low-power, wireless communication protocol widely used in IoT and IIoT deployments. It provides reliable data transmission and is suitable for applications requiring low data rates and energy efficiency.
Our proficiency in supporting these protocols, including MQTT Sparkplug, ensures that your IIoT projects are equipped with the right communication foundation, enabling seamless data integration, real-time monitoring, and control across your industrial assets. Partner with Sahoma Controlware for comprehensive protocol support and drive the success of your IIoT initiatives.