An ADMS is the decision support environment that provides a shared network model (a digital twin of an electric distribution network) and a common user experience for all roles that are needed to monitor, control and orchestrate assets across the grid while optimizing and securing operations of the grid. The ADMS assists electricity distribution system operators to proactively and safely guide outage restoration activities, manage and optimize networks for improved asset utilization, and effectively manage the integration and impact of distributed energy resources (DERs). ADMS functions include: Distribution state estimation (DSE) Fault location, isolation and restoration (FLISR) Volt/volt-ampere reactive optimization (VVO) Outage management Conservation through voltage reduction (CVR) Peak-demand management Integration of distributed energy resources
Asset Performance Management (APM) is a market of software tools and applications for optimizing operational assets (such as plants, equipment and infrastructure) essential to the operation of an enterprise. Organizations invest in APM tools and technologies to reduce unplanned repair work, increase asset availability, minimize maintenance costs and reduce the risk of failure for critical assets. These products can also improve an organization's ability to comply with regulations that prescribe how assets are inspected and maintained. APM uses data capture, integration, visualization and analytics to improve operations and maintenance timing, and to identify which maintenance and inspection activities to perform on mission-critical assets.
Gartner defines FSM as software suites that support FSPs whose technicians typically travel to customer locations to provide installation, repair, inspection and maintenance services for equipment and systems (consumer, commercial or industrial). FSPs may also manage, maintain and monitor these assets under a predefined service or maintenance contract.
The global industrial IoT platform delivers multiple integrations to industrial OT assets and other asset-intensive enterprises’ industrial data sources to aggregate, curate and deliver contextualized insights that enable intelligent applications and dashboards through an edge-to-cloud architecture. The global industrial Internet of Things (IIoT) platform market exists because of the core capabilities of integrated middleware software that support a multivendor marketplace of intelligent applications to facilitate and automate asset management decision making. IIoT platforms also provide operational visibility and control for plants, infrastructure and equipment. Common use cases are augmentation of industrial automation, remote operations, sustainability and energy management, global scalability, IT/operational technology (OT) convergence, and product servitization of industrial products. The IIoT platform monitors IoT endpoints and event streams, supports and/or translates a variety of manufacturer and industry proprietary protocols, analyzes data in the platform, at the edge and in the cloud, integrates and engages IT and OT systems in data sharing and consumption, enables application development and deployment and can enrich and supplement OT functions for improved asset management life cycle strategies and processes. In some emerging use cases, the IIoT platform may obviate some OT functions.
Gartner defines manufacturing execution systems (MES) as a specialist class of production-oriented software that manages, monitors and synchronizes the execution of real-time physical processes involved in transforming raw materials into intermediate and/or finished goods. These systems coordinate this execution of work orders with production scheduling and enterprise-level systems like ERP and product life cycle management (PLM). MES applications also provide feedback on process performance, and support component and material-level traceability, genealogy and integration with process history, where required.
Rail operations management systems are integrated frameworks that optimize railway operations by managing train schedules, infrastructure and service quality. These systems utilize advanced signaling to control train movements and prevent collisions, enhancing safety and efficiency. Real-time data monitoring allows for effective traffic flow management and prompt response to operational issues. Key users, including railway operators, maintenance teams and traffic controllers, rely on these systems for schedule management, maintenance execution and ensuring safe train operations.
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