In an era where digitization is reshaping industries and everyday life, the ability to capture
and analyze relevant information has never been more critical. At Woodtech, we have
identified seven critical stages of digitization, each integral to harnessing the power of new
technologies, powerful algorithms, and big data processing. The second of the seven stages
delves into the importance of relevant information and the methods to obtain it, shedding
light on how we implement these processes to enhance decision-making and operational
efficiency.
The Importance of Relevant Information
Not all information is equally valuable in the context of digitization. It is crucial to identify and
extract data that significantly impacts the operation and management on each industry. To
achieve this, we start by identifying the variables critical to the operation.
In the case of the forestry industry, these variables may include wood volume, log
biometrics, and other physical characteristics of wood. To measure each one of these
variables, we use sensors that capture the necessary information, whether directly or
indirectly.
Methods to Obtain Relevant Information
LIDAR (Light Detection and Ranging) is the ideal technology for digitizing the three-
dimensional shape of objects with high precision. This data is then processed to extract
wood log biometric variables, such as volume, diameters, crookedness, etc. Another
advantage of LiDAR is that it works in a wide range of ambient conditions: day or night,
indoors or outdoors, and even under rain or snow. Industrial grade LiDAR sensors can
operate in extreme temperatures, from -50°C in Canada to over 40°C in the central zone of
Chile. That is why LiDAR is the primary sensor used in Woodtech systems.
Cameras and artificial vision systems can be used to capture high-resolution images of wood
logs and analyze characteristics such as texture, color and possible defects, complementing
the data obtained by LiDAR sensors.
Using RFID tags and barcodes to identify and track logs throughout the supply chain
ensures that an accurate record of wood is kept from its origin to its final destination. We
integrate RFID readers in our systems to identify the truck and fetch information regarding its
load, such as supplier and wood type.
Regardless, all these sensors must withstand the challenges of the operating conditions of
the forestry industry. These can include weather conditions, wide temperature ranges, and
lack of internet connectivity and power.
Stage Two: Sensor Utilization and Data Integration
Obtaining the information is just the first step. Real digitization involves integrating this data
into advanced analysis systems that allow the information to be interpreted and used
effectively. At Woodtech, we carefully select and implement technologies based on their
relevance to our client’s operations to ensure the most accurate and relevant information is
obtained.
For example, our Logmeter system uses LiDAR sensors to capture detailed data on log
volume and biometrics. This data is integrated into our data management platforms, allowing
exhaustive analysis and the generation of reports that facilitate decision-making. These
platforms can be integrated with Enterprise Resource Planning systems for comprehensive
resource management.
In addition, implementing predictive analysis tools allows us to anticipate problems and
optimize operations based on historical and real-time data. Using dashboards and data
visualization interfaces also helps operators and managers better understand the information
and make informed decisions quickly. This comprehensive approach ensures that Woodtech
leverages the most suitable technologies for our client’s operations, recognizing that not all
technologies are equally effective in every context.
Looking Ahead
Digitization in the forestry industry goes beyond mere object detection and measurement.
It involves extracting and analyzing relevant information to optimize processes and enhance
decision-making. By identifying key parameters, using appropriate technology, and
integrating data into advanced analysis systems, the forestry industry can achieve significant
improvements in efficiency and management.
Stay tuned for more detailed explanations of the seven stages of digitization and how they
can transform industry processes. In the next article, we will be looking at the Coordination
and Flexibility of the Orchestrator.
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