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Optimize your WasteFlow

with MSA

Automated monitoring of waste feeding in waste-to-energy plants ensures quick detection of irregularities, enhancing combustion stability and preventing costly shutdowns.

MARTIN's digital promise: Optimize the operation of your waste-to-energy plant with our new tool Waste Flow Analysis.

Our innovative AI-assisted system of the next generation offers fully digitized, customer-oriented processes for combustion, enhancing the resilience and efficiency of your waste feeding process. This advanced system increases automation and improves operational safety to ensure stable and highly efficient combustion.

Problem to be solved

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Drop in load caused by inefficient feeding - blockages

 

Blockages in the chute can disrupt the smooth feeding of waste, introduce false air into the furnace and in the worst case lead to a complete shutdown of the system. In the illustrated case, the blockage was cleared within 20 minutes yet still resulted in a significant reduction in steam production by approximately 5 tons.

Fast and reliable detection of blockages before they have an impact on operation enables a direct response and avoids revenue losses.

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Overload peaks caused by inefficient feeding - waste slipping through

When fuel with a high specific weight (e.g. due to a high water content) slips through the chute and ends up directly on the grate, this may cause overfeeding. Overfeeding results in uneven ignition and leads to steam peaks and the release of unburnt gases due to an insufficient combustion air flow. Sudden, uncontrolled ignition subjects the furnace to a significant thermal load and may trigger emission peaks.

Monitoring the volume flow through the feed chute provides a clear and actionable key figure, enabling prompt and effective measures to ensure optimal combustion conditions.

Solution

How we do it

Computer vision for waste-to-energy plants

We leverage cutting-edge computer vision technology to accurately detect the waste volume in the feed chute. By continuously monitoring the waste as it moves, we can identify any material slipping into the furnace in real time. The system records the volume of the waste, providing precise data on the amount being processed.

Furthermore, we gain deeper insight into the overall feeding process by correlating the movement of the feed rams with the volume flow in the chute. This correlation allows us to detect waste blockages and waste slipping through with a high confidence interval.

 

Installation

1_install

Camera

Fitting of a camera providing a clear view of the feed chute and the waste

2_connect

Connect

Installing the Waste Flow Analysis hardware and connecting it to the DCS

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Configure

Adapting the software to the specific dimensional proportions and processing the signals for use

Features

stability

Stability

Stable combustion: precise monitoring of the waste volume flow facilitates detecting anomalies and changes in the waste in real time so that adjustments can be arranged for.

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Updates

Continuous development: benefit from an active product lifecycle with ongoing maintenance and updates.

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Retrofitting

Quick and easy: stand-alone hardware with standard interfaces enables implementation with minimal effort.
           

UX

Usability

Simple and straightforward: employees can intuitively access relevant information via a web-based interface. 

maintainability

Maintainability

Exceptional service standards: simple maintenance and ongoing improvements in safety and reliability ensure uninterrupted system operation.

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Operational safety

Enhancing plant safety: detect blockages in the feed chute and potentially resulting fires in the chute and counteract them at an early stage.

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