Moicon at Hannover Messe 2023
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15 min read

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27 Apr 23

Moicon at Hannover Messe 2023

Our Moicon professionals wrapped up a fantastic #HM23 event last week! This year, Autodesk gave us the opportunity to attend the HANNOVER MESSE, the biggest trade show for industry anywhere in the globe. The technological and physical innovations that are revolutionizing this industry were amazing to observe.

One of the key highlights of Autodesk's presence at Hannover Messe is its advanced manufacturing software, which includes tools for generative design, additive manufacturing, and simulation. These solutions help manufacturers to optimize their designs, reduce production costs, and improve product quality.

Autodesk exhibition at Hannover Messe 2023

Autodesk exhibition at Hannover Messe 2023

Another important aspect is its focus on sustainability. The company has been highlighting its software solutions that can help businesses to reduce their carbon footprint and minimize waste in the production process. Autodesk's software can be used to optimize building designs for energy efficiency or to reduce material usage in manufacturing.

Moicon booth at Hannover Messe 2023

Moicon booth at Hannover Messe 2023

At the booth, we presented a factory demo with selected solutions used by our customers:

  • Cloud-based browser application,
  • Process analysis,
  • Cost estimation,
  • Material flows visualization,
  • Particle sensor,
  • Moving sensor.

Cloud-based browser application

The big advantage of the Moicon app is that there is no installation on devices, all your data is in the cloud. There is no need for expensive high-end computers, just a device with a browser and internet access.

Process Analysis

Process Analysis is a function that allows you to model, evaluate, and optimize a wide range of industrial processes. You can improve performance and detect possible bottlenecks before they materialize on the manufacturing floor by visualizing the process. You may also enhance line balancing and review production decisions, equipment settings, capacity, work in process, and inventory reductions.

Create a functional model of your prospective assembly line, factory, or industrial equipment, then run it through a simulation to detect possible bottlenecks and improve performance based on design requirements.

Learn how to set up a process scheme and start using the simulation

Cost Estimation

Cost estimation is a crucial aspect of manufacturing, as it enables companies to determine the cost of producing a product or providing a service. By accurately estimating costs, companies can make informed decisions about pricing, budgeting, and profitability.

There are several methods that companies can use to estimate the cost of manufacturing a product. One common approach is to use historical data, such as past production costs, to determine the cost of producing similar products. This method can be effective if the company has a long history of producing similar products, and if the production process has remained relatively consistent over time.

Our solution can take into account a wide range of factors, such as raw material costs, labor costs, overhead expenses, machine utilization rates, and purchasing new equipment cost to provide a comprehensive estimate of the cost of producing a product.

Process analysis presentation

Process analysis presentation

The set of output data will give you an overall view of how profitable your production line is. Because of the many variables coming from the production line, the application will help you forecast, plan, implement and review. By using historical data and software tools, companies can gain a better understanding of their production costs, and make informed decisions about pricing, budgeting, and profitability.

Learn more about how to be cost conscious, reduce these costs and increase ROI

Material Flow and Gemba Walks

In the context of process improvement and lean manufacturing, "material flow" refers to the movement of materials and products through a production system. A well-designed material flow path can help minimize waste, reduce costs, and improve overall efficiency.

One way to improve material flow is through the use of physical pathways or "lanes" within a production area. These lanes can be marked off with tape, painted lines, or other visual indicators to help guide the movement of materials and products through the system.

Similarly, a "Gemba Walk" is a lean manufacturing technique where team members observe the production process in action, looking for opportunities to improve efficiency and eliminate waste. By following a predefined path through the production area, team members can systematically examine each step in the process, identify areas for improvement, and develop strategies to address them.

Presentation of flow paths

Presentation of flow paths

Finally, employee training can also benefit from the use of defined pathways. For example, a new employee might be given a guided tour of the production area, following a predefined path through the system to learn about each step in the process. This can help new employees quickly get up to speed on the production process and better understand their role within the team. All this can be done remotely and repetitively from your device with a browser and the Internet.

Learn more about what value it provides and how to build an effective material flow or gemba walk

Particle Sensor

Particle sensors are a type of sensing technology that can be used in manufacturing to monitor the concentration of particles in the air. These sensors can detect various types of particles, including dust, smoke, and aerosols. By monitoring the concentration of particles in the air, manufacturers can identify potential hazards, improve air quality, and ensure compliance with regulatory standards.

For the task of detecting a high concentration of a substance on site and visualizing it in the model, there are several steps that need to be taken to ensure successful completion of the exercise.

First, it is important to determine the appropriate sensor technology that can detect a substance. Depending on the substance, different sensor technologies may be required. For example, if the substance is a gas, a gas sensor such as a photoionization detector (PID) or an electrochemical sensor may be needed. On the other hand, if the substance is a particle, a sensor such as a laser sensor or optical counter may be required.

For our example, we used an optical sensor, and the visualization before spraying the aerosol showed the color blue.

Visualization of the particle sensor before detection of PM2.5/PM10 particles

Visualization of the particle sensor before detection of PM2.5/PM10 particles

After the aerosol particles enter the chamber, the graphs immediately indicate higher concentrations of PM2.5 and PM10 particles, and the visualization in the model shows the red color.

Visualization of PM2.5/PM10 detection

Visualization of PM2.5/PM10 detection

Once the appropriate sensor technology has been identified, it needs to be calibrated and installed in the appropriate location to ensure accurate detection. Calibration involves adjusting the sensor's sensitivity to ensure that it accurately detects the substance at the desired concentration. Installation involves placing the sensor in a location where it can detect the substance effectively, such as near the source of the substance or in an area where the concentration is expected to be high.

Once the sensor is installed and calibrated, it will begin to detect the substance and transmit data to a monitoring system. Our solution uses the most popular MQTT protocol standard and collects data to the cloud through AWS tools, where at the very end the Moicon App communicates with the database. The monitoring system can then visualize the data in a model to provide a clear and accurate representation of the substance concentration on site. The model can be used to identify areas where the concentration is highest and to track changes in concentration over time.

In addition, the model is easily accessible through web browsers, giving access for specific employees and management. Creating a visual representation of the data in the form of particles, their density and color, and graphs will allow you to accurately assess factory conditions.

Learn more about one of the many ways to implement sensors

Moving Sensor

In technical terms, this technology uses a sensor called an accelerometer, which is built into selected mobile devices. The accelerometer measures the device's acceleration and orientation, and this data is then processed by Moicon App to determine the device's movement.

The result is a digital equivalent displayed on a screen in the form of a 3D asset representation, such as a moving device in real-time. This technology has a wide range in manufacturing. It allows manufacturers to track the movement of mobile devices and equipment, such as robotic arms or conveyors, in real-time. This data can be used to optimize the manufacturing process, identify inefficiencies, and make adjustments to improve productivity and quality.

These are just two of the capabilities of the different types of sensors we use. Access sensor data from any location, analyze graphs and be aware of the status of your facility and any events in advance.

If you have a need for a specific implementation, get in touch with us

Overall, 130,000 people were inspired by 14,000 thousand products and more than 4,000 exhibitors from 23 different industries. See you next April at #HM24 in Hannover!

Autodesk Team at Hannover Messe 2023

Autodesk Team at Hannover Messe 2023


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