The Challenges
An increasing number of companies are involved in organizing specific solutions to address the various environmental problems in recent years, mainly caused by the non-recycling of waste or the decrease in the volume of natural energy sources. Companies working in these sectors, therefore, need sophisticated and efficient equipment to be constantly updated and monitored.
Scapigliato, an Italian company that manages waste treatment and disposal plants, was looking for a solution capable of optimizing its production processes, particularly, for improving the management and monitoring of the leachate produced in its landfill.
The Solution
Thanks to the use of the Zerynth Industrial IoT & AI Platform and, additionally, the internal presence of a GSM module, it was possible to monitor each leachate well and the entire operation process of the pumps.
The use of the IoT platform allowed interfacing with the automation systems of the leachate wells and visualizing the performance with corresponding data processing visualizations.
The gathered information included monitoring the pump status (on/off), the water level in the well, and the total running time of each pump.

The Results
Scapigliato has successfully completed its digital journey with an IoT solution capable of real-time monitoring for all 32 wells. Thanks to the help of Zerynth, in just 1 month it was able to implement all the IoT devices and configure the data processing functions.
Thanks to the reliability of the Zerynth platform, production data cannot be lost, because Zerynth stores both at-the-edge and in persistent cloud storage, implementing various data stores and dispatch logic.
Learn more details about the case study by watching the on-demand webinar.

Company
Scapigliato Srl
Industry
Environmental services
Assets
Waste management equipment
Profile
Scapigliato deals with the management and maintenance of landfills and waste treatment plants.
Results
Increased Automation on data analysis
24/7 remote monitoring
Improved Quality
100% early detection of anomalies
Decreased Consumption
ZERO operational costs for data recording
