Frequently asked questions

The Industrial Internet of Things (IIoT) refers to the integration of connectivity and smart sensors with industrial equipment. 

This enables the collection and analysis of operational data, thereby improving operational efficiency, predictive maintenance, and informed decision-making.

Of course. In fact, we recommend the IIoT approach for aging equipment. This way, you can collect usage data from your legacy machines. 

The process to equip a machine is quite simple:

Collecting data from your installations provides several direct advantages:

Not necessarily. You have several options to manage your data flows as you wish:

During our discussions, we will advise you on the best approach to adopt based on your constraints.

IIoT allows for the collection of operational data through smart sensors.

Artificial Intelligence consists of algorithms that use input data to provide an interpretation of that data as output.

Therefore, IIoT and AI are complementary. We use IIoT to collect data about your activity, and then AI to calculate the indicators you need.

For our new clients and industries looking to evolve their structures, we recommend the Proof Of Concept (POC) approach.

We offer a solution that addresses your issues within a limited scope (1 to 3 sensors). The idea is to equip 1 or 2 machines to study the profitability of a project.

Our solutions are complete, including hardware and software, and are pre-configured. You won't need a dedicated expert installer to set up your equipment on your machines.

Several types of sensors are commonly used, primarily:

LoRaWAN (Long Range Wide Area Network) is a wireless communication protocol designed for the Internet of Things (IoT). Its main features are long-distance data transmission combined with very low energy consumption.

Communication range:

Energy consumption:

Infrastructure cost:

Data throughput:

Specific applications:

The theoretical range of the LoRaWAN network varies depending on the environment and the installation conditions of the devices. In theory, the network supports several kilometers of transmission.

In reality, in an industrial environment with heavy metal walls and numerous machines, the network range can be reduced to a few hundred meters.

We recommend a preliminary LoRaWAN coverage study before installing a large number of sensors to determine the number and arrangement of LoRaWAN gateways.

Yes. One of the strengths of the LoRaWAN network is its range. Based on our tests and real installations, the sensors can communicate effectively, even when installed in isolated metal enclosures.

No, a private gateway allows you to have your own LoRaWAN network to communicate with your sensors. However, the operator Orange provides public LoRaWAN network coverage that covers 95% of the French territory. In this case, you use Orange's infrastructure and services to route your traffic to your software.

As privileged partners of Orange, we offer personalized support for the implementation of such solutions.

To use Orange's public LoRa network, you need to configure your sensor in Orange's LiveObjects software. 

Integral System is an official partner and reseller of the LiveObjects solution.

The LoRaWAN network is particularly secure. LoRaWAN incorporates mechanisms including end-to-end encryption, mutual authentication, and data integrity, ensuring that communications are protected against interception and tampering.

If you choose an Integral System solution, you will not need a specific installer. Our equipment is pre-configured and ready to use. We also provide installation manuals to set up the sensors efficiently.

However, for certain specific sensors (such as measurement units), electrical certification may be required to connect the device.

We offer turnkey solutions that include both hardware and software. You purchase the hardware, and we offer the software as an annual license for the Cloud version and a lifetime license for the local version.

Yes. Integral System offers only sensors, gateways, and software compatible with the widest range of brands and manufacturers that use industry-standard communication protocols.

We also provide personalized support and training to help you integrate third-party equipment into your solution. 

Yes. You can choose to purchase your sensors from Integral System while using your own software for data storage and utilization.

We also provide support services for integrating data into your systems.

Yes. We have a team of engineers and technicians who are experts in software, hardware, and IoT to support you in your decision-making and the implementation of the best infrastructure for your needs.

Predictive maintenance is a proactive approach that allows for forecasting future equipment failures. By using real-time operational data coupled with advanced Artificial Intelligence algorithms, the goal is to predict failures before they occur.

Predictive maintenance helps keep equipment in good working condition, reduce production downtime, and save costs by preventing unexpected breakdowns.

To predict failures of monitored equipment, improve the maintenance efficiency of your factory, achieve substantial cost savings, and reduce the carbon footprint of your activity.

Predictive maintenance offers numerous advantages. In recent years, with the substantial improvement in AI algorithms and the rise of IoT, the deployment costs of predictive maintenance have become accessible for small and medium-sized enterprises (SMEs) in the industry.

Integral System provides a turnkey predictive maintenance solution based on vibration analysis. This type of solution allows you to monitor all types of electric motors (pumps, compressors, filters, etc.) as well as more complex machines (conveyor belts, cutting machines, etc.).

By adding electrical consumption data, you can also consider monitoring other types of equipment (servomotors, ovens, etc.).

The fault detection algorithm provided by Integral System relies on several elements to calculate a health score and a 7-day rolling prediction.

The calculation of indicators is based on ISO-10816 standards, the study of machine operation, rotational speed for motors, and electrical consumption. A pre-trained AI model on a large dataset of motors is also utilized.

The raw vibration data is collected from a sensor compliant with ISO-10816 standards.

Therefore, the data used and the algorithm are based on reliable metrics and concrete machine operation studies. The algorithm is highly effective and becomes increasingly efficient over time with the accumulation of operational data.

Yes. Our predictive maintenance solution is ideal for monitoring rotary motors of this type.

The predictive maintenance system from Integral System is based on vibration data collected by the Wise-2410 sensor.

After installing the sensor on the motor, the algorithm requires 200 data sets to complete its learning process.

Once the motor's operational data is assimilated by the algorithm, the prediction can then begin.

Not all systems are the same. The system offered by Integral System is easy to install. We pre-configure the devices and software in our workshop, and you only need to install the sensor on the machine of your choice.

Yes. In fact, it is recommended to multiply data sources to increase the accuracy of diagnostics. The configuration we recommend includes a vibration sensor, a current sensor, and a temperature sensor.

Data collection can provide valuable insights into the operational state of a business. Data analysis helps identify bottlenecks, points of excessive energy consumption, improve maintenance, etc.

IIoT, as a whole, provides tools to collect data and use it effectively. Integral System is involved from the outset of your project to help you define your needs and offer effective solutions.

The return on investment (ROI) of an IoT installation is calculated differently depending on the sensors installed and the project's objectives.

For example, you can measure the ROI of a predictive maintenance solution by comparing production downtimes from the previous year (year N-1).

You can measure the ROI of a consumption monitoring solution by calculating the energy savings achieved compared to the deployment cost of the overall solution.

Integral System supports you in setting up your dashboards efficiently to manage your activity with intelligent indicators.

There are several ways to access your data:

Yes. Integral System offers the Wise-IoT software developed by Advantech.

It includes comprehensive management of organizations and users, allowing you to precisely define your production sites, buildings, floors, production lines, and machines with the desired granularity. 

You can also define user access to specific areas or functionalities.

By default, we first propose an in-person or virtual meeting to define the objectives of the digitization.

Next, we present a Proof Of Concept (POC) solution that you install on your premises. Once the POC phase is validated, we can expand the project to your other production lines/machines/etc.