Cengiz Özemli
Academic
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Adroit Technologies Takes Revolutionary Steps in Alarm Management
Adroit Technologies has released its updated Alarm Management software suite, aiming to reduce alarm intensity and optimize process interventions in industrial production environments. This digital architecture objectively measures control room alerts against international standards, ensuring that field operators and maintenance personnel receive prioritized and actionable notifications.
Reducing Alarm Intensity and Standardization
In industrial control environments, alarm systems alert operators to abnormal process conditions. However, poorly configured systems often generate unnecessary alarms, leading to "alarm intensity" which diminishes operators' capacity to identify critical events. To address this issue, organizations are moving away from reactive maintenance by adopting formal alarm management strategies compliant with recognized engineering standards such as ISA-18.2 and IEC 62682.
The software measures system outputs against these recognized alarm standards, providing baseline metrics for continuous improvement programs. Johan Nieuwenhuizen, Sales Director and Co-CEO of Adroit Technologies, states that objective measurement allows organizations to identify specific improvement opportunities that yield measurable operational benefits. By quantifying alarm performance, facilities eliminate background noise and reconfigure thresholds, thereby enhancing process stability and equipment reliability.
Mobile Notifications and Operational Data Logging
Beyond centralized control rooms, the platform extends notification capabilities directly to field personnel via the Adroit AIR mobile application. The software delivers secure push notifications on major mobile operating systems, relaying critical alarms to designated engineers and supervisors.
To support root cause analysis and incident investigations, the system features an integrated Digital Logbook. This structured logging platform enables operators and maintenance teams to record reasons for acknowledgment, operational notes, and corrective actions tied to specific alarm events. Through SQL database integration, these logged events can automatically trigger work orders within integrated maintenance environments and broader enterprise architectures.
Predictive Maintenance with Cloud Analytics
The software ecosystem scales to Adroit Cloud to provide browser-based dashboards, performance reports, and key performance indicator (KPI) tracking for distributed sites. Its analytics engine leverages artificial intelligence (AI) to evaluate historical datasets, identifying specific patterns indicative of recurring 'bad actor' alarms and process inefficiencies.
By monitoring acknowledgment performance and exception reporting over time, engineering teams gain visibility into emerging mechanical issues before they escalate into unplanned downtime. This transition from isolated notifications to integrated workflow intelligence improves system traceability, regulatory compliance, and incident response times across the production infrastructure.
Competitive Analysis and Technical Details
In the industrial automation sector, standardized alarm management solutions compete directly with software modules such as AVEVA Alarm State Manager and Yokogawa Exaquantum/ARA. Primary target benchmarks for these platforms are governed by the ISA-18.2 standard, which specifies optimal performance metrics such as fewer than 150 alarms per operator per day and less than 1% of operating time spent in alarm flood conditions (defined as more than 10 alarms in a 10-minute period).
When evaluating mobile notification systems, applications like Adroit AIR are often benchmarked against specialized notification engines such as Win-911 or Seqent. Competitive differentiation in this category is measured by delivery latency, the ability to establish redundant communication protocols (e.g., SMS, voice, and push notification pathways), and the system's capacity for bidirectional synchronization with active directory security architectures. Platform-agnostic tools utilizing standard SQL databases generally offer lower integration friction compared to software heavily reliant on proprietary historical databases.


















