azeti Networks remote asset management software enables companies to monitor and manage their critical infrastructure (e.g. gensets, batteries, HVAC’s, access systems) at remote locations. azeti’s software runs locally on Intel-based IoT gateways and provides visibility into and control over passive infrastructure at e.g. cell sites, secondary substations, bank branches, manufacturing plants or oil wells.
The software collects and processes any type of sensor data (environmental and energy data or data on performance, theft, damage) locally on IoT gateways as well as using them to automate processes based on a predefined logic. azeti's remote asset management software helps to optimize maintenance cycles and energy consumption of remote sites as well as helps to protect them against destruction, vandalism and theft.
The data is processed and filtered at the IoT gateway, using azeti’s remote asset management software, which includes protocol conversion capabilities to connect directly to sensors (analog & digital), to I/O modules attached to sensors or directly to machinery (connecting to IP & non-IP based devices).
The software provides users with a rule engine (configurable through a cloud- based control panel), which enables them to set thresholds for automated actions to be taken. The collected sensor values are then compared against the thresholds so alerts can be issued or actions taken if a threshold is crossed. For example, a rule could
be set to monitor the temperature of a warehouse and turn on the air conditioning any time it rises above thirty degree Celsius, or to send an alert to the network operations center to assign an engineer to check the cause. Organizations can configure orupdate a large-scale deployment of gateway devices at once, using the cloud-based control panel, enabling them to implement new modules when required, with modules available to manage fuel, batteries, doors, generators and cooling units. Mechanisms are also available, for example enabling users to con gure all the sensors across their network and then push those parameters down to the gateways.
Intelligence at the Edge
By maintaining intelligence at the edge – i.e. running analytics at the gateway, before data gets to the cloud – the azeti solution optimizes reaction time, minimizing bandwidth and processing requirements, keeping IT costs down and reducing delays due to local data processing at the edge, which are kept under 20 miliseconds (according to azeti internal testing).
Having this logic run on the gateway itself, which also o ers storage capacity for up to one year’s worth of data, removes the need for constant connectivity. This in turn enables faster decision making. Data is analyzed and actions or alerts triggered in the time it would take a purely cloud-based model to send all data to the central platform for analysis. In this way, organizations can respond quicker to any issues or opportunities, or even pre-empt them. For example, the performance of di erent devices within a eet can be compared and if a piece of factory equipment is starting to run slowly
or a diesel tank is under half-full, an alert can be triggered for an employee to address the issue and prevent it becoming a problem.
The data that is fed up to the cloud for more detailed analysis can be selected or ltered to optimize e ciency. For instance, data from 20 di erent temperature sensors within a warehouse can be taken, and the average reading calculated at the gateway, which then sends just the average number to the cloud. Internal testing by azeti found this cut data traffic by up to 98 percent.
