Introduction: The Purpose of Operational Intelligence via IIoT
In the dynamic Industry 4.0 landscape, the pursuit of operational efficiency, cost reduction, and optimized maintenance drives the adoption of Industrial Internet of Things (IIoT) solutions. The ultimate goal is clear: transform raw data generated by machines and processes into actionable intelligence, accessible remotely and in real time. Whether in a vast industrial plant, a remote sanitation plant, or a complex commercial building, the ability to monitor, analyze, and act on accurate information is an undeniable competitive advantage.
However, the journey to achieving this connected operational intelligence often comes up against a fundamental technology decision: which IIoT platform to adopt? The choice directly impacts the solution's feasibility, cost, and flexibility, especially regarding integration with instrumentation (sensors, PLCs, meters, etc.).
The Connectivity Dilemma: Integrate Legacy or Start from Scratch?
When considering an IIoT platform, companies typically find themselves in one of two main scenarios:
- Existing Automation Infrastructure: Many operations already have fully functioning on-premises automation systems , consisting of Programmable Logic Controllers (PLCs) and a variety of integrated sensors (temperature, pressure, vibration, level, etc.). This operational instrumentation represents significant investments made over time. The challenge, in these cases, is how to connect these often isolated systems to a centralized cloud platform to aggregate analytics, intelligence, and remote access, while maximizing the existing functional infrastructure .
- Unmonitored or Unautomated Points: There are numerous assets or measurement points that, historically, did not justify the high cost of a complete PLC-based automation system. Isolated pumps, dedicated motors, remote tanks, and others could benefit greatly from monitoring, but the complexity and cost of traditional automation were prohibitive. The challenge, in this case, is finding a cost-effective way to implement monitoring and data collection at these points.
The choice of IIoT platform should consider how it effectively addresses both scenarios.
The Risk of Platforms with Proprietary Instrumentation
Some IIoT solutions on the market adopt a model based on proprietary instrumentation . That is, the platform works primarily or exclusively with a limited set of sensors and devices developed by the solution provider itself. While they may claim simplicity in certain cases, this approach has significant limitations:
- Limited Measurement Scope: No proprietary instrumentation supplier can cover the vast range of variables and operating conditions encountered in industry. Sensors for specific parameters (thermography, particular types of gases, complex vibrations, etc.) may simply not exist in the supplier's portfolio.
- Technology Lock-in: The company is tied to the supplier's ecosystem. Any expansion or need to monitor new variables not covered by proprietary sensors will require the search for other platforms or solutions, creating data silos and management complexity.
- Disposal of Functional Assets: For measurements covered by the proprietary platform, the company may be forced to replace perfectly functional and already installed market sensors (connected or not to PLCs) with supplier-specific instrumentation, generating unnecessary costs and underutilizing previous investments.
- Restricted Flexibility: The choice of the best sensor technology for a specific application is limited to what the supplier offers, which is not always the technically ideal or most economical option available on the broad market.
- High Total Cost of Ownership (TCO): The potential need for multiple platforms, replacement of existing sensors, and lack of negotiating power with a single vendor can inflate the total cost of the solution in the long run.
It is crucial to note that the idea of “replacing any existing instrumentation with proprietary sensors” is, in most cases, technically unfeasible and economically prohibitive, and is a misunderstanding of the real problem posed by these limited platforms.
The Strategic Advantage of Universal Compatibility
In contrast, an IIoT platform designed with a focus on universal compatibility with market instrumentation offers a more flexible, strategic, and cost-effective approach:
- Legacy Utilization: Allows connection and integration with the vast majority of PLCs, controllers and sensors (analog, digital, with standard protocols – such as Modbus, MQTT, etc.), already existing in the plant, protecting the investments made.
- Freedom of Choice: The company can select the best instrumentation for each specific measurement need from among millions of options available on the market, ensuring technical suitability and optimizing costs.
- Unified Solution: Enables centralized monitoring of multiple variables and assets on a single platform, regardless of the sensor's origin or local automation system, eliminating data silos.
- Easy Expansion of New Monitoring Points: Monitoring isolated points that previously did not justify the installation of a dedicated PLC now becomes an economically viable option, through the use of market sensors connected directly to intelligent communication gateways.
- Scalability and Future-Proofing: The platform can grow organically, incorporating new measurement verticals or new instrumentation technologies as they emerge, without being locked into a single vendor.
- Interoperability: They are generally built on industry standard protocols (MQTT, OPC UA, etc.), facilitating integration with other corporate systems (ERP, SCADA, CMMS).
Demystifying “Plug-and-Play”
The argument that proprietary instrumentation offers a superior "plug-and-play" experience needs to be critically analyzed. Ease of integration doesn't lie in the sensor's proprietary nature, but rather in the IIoT platform to connect to and interpret industry-standard signals and protocols.
Traditional industrial sensors (analog 4-20mA, 0-5V, digital on/off) and those using widely used open protocols (such as Modbus) can be integrated as plug-and-play as any proprietary sensor, as long as the chosen solution is designed for this . Compatible converters and gateways make this integration a standard reality on a platform with universal connectivity. The complexity or simplicity lies in the intelligence of the solution, not the origin of the sensor.
Bridgemeter: Universal Connectivity and Integrated Intelligence
Bridgemeter, developed by Above-Net , is the definitive IIoT platform solution that combines universal connectivity and embedded intelligence . It was designed to overcome the limitations of existing restrictive solutions and meet the real needs of critical applications:
- Comprehensive Compatibility:
- Connects natively to PLCs and controllers from a wide range of manufacturers and generations.
- It integrates directly with a wide range of market sensors: analog, digital and smart (supporting more than 150 industrial protocols).
- It allows you to monitor both complex, already automated infrastructures and simple, isolated points in a cost-effective way.
- Unified Horizontal Platform: Consolidates data from multiple sources and verticals (electrical, mechanical, hydraulic, environmental, etc.) into a single environment, providing a holistic view of the operation.
- Artificial Intelligence and Predictive Analytics: It goes beyond simple data collection, using AI to:
- Detect anomalies and predict failures based on multiple parameters.
- Calculate key indicators such as OEE (Overall Equipment Effectiveness).
- Allow the creation of complex business rules and calculated functions.
- Optimize processes and trigger predictive or prescriptive maintenance actions.
- Agile Implementation: Despite its robustness, the platform allows for rapid configuration through an intuitive web interface, often in just a few days, without interrupting existing processes.
- SaaS Model with Integrated IaaS: Eliminates the need for large upfront investments in communication/processing hardware and software, offering the complete solution as a service with a predictable monthly cost.
Conclusion: The Smart Choice for the Future of Industry
The decision about which IIoT platform to adopt has long-term implications for a company's flexibility, cost, and innovation capacity. Platforms that require proprietary instrumentation may initially seem straightforward for a very limited scope, but they create technological dependencies, limit horizontal expansion, and can lead to hidden costs and information silos.
The universal connectivity approach, embodied by Bridgemeter , offers a superior strategy. It respects existing investments, provides freedom of choice for the best market instrumentation, unifies operational vision, and enables intelligent monitoring in a scalable and cost-effective manner. True agility and plug-and-play functionality come from the platform's intelligence in addressing industry standards, not proprietary constraints.
In the era of Industry 4.0, the ability to flexibly and intelligently integrate legacy with new technologies is crucial. Bridgemeter embodies this vision, offering the most robust and adaptable path to digital transformation in industrial operations.
Ready to transform your operations with a truly flexible and intelligent IIoT platform?
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