Frequently Asked Questions

SIOTA's EMS is an IoT-based platform that monitors, analyses, and helps control energy consumption across your entire facility — or multiple facilities — in real time. It connects to your existing electrical infrastructure via smart meters and IoT sensors and streams live consumption data to a cloud dashboard accessible from any device.

SIOTA's EMS is designed for commercial and industrial facilities including corporate offices, IT parks, co-working spaces, hospitals, manufacturing plants, retail chains, malls, hotels, banks, PSU branches, educational institutions, and gated residential societies. Any facility with a monthly electricity bill above ₹1 lakh is a viable candidate.

A basic energy meter measures total consumption at one point. SIOTA's EMS provides granular, real-time data at the circuit, asset, and zone level — across multiple locations simultaneously. It includes anomaly alerts, peak demand tracking, historical trend analysis, multi-location benchmarking, and BRSR/ESG-ready reporting, none of which a conventional meter provides.

Most installations are live within 48 hours. The physical installation at the distribution board level typically takes less than one working day. No civil work, no shutdowns, and no disruption to facility operations are required.

No. SIOTA's system is designed for non-intrusive installation. Smart meters and IoT sensors are fitted at the distribution board — not at individual equipment points — so your facility continues operating normally throughout the process.

Facilities consistently achieve 15–30% reduction in electricity costs within the first quarter. The exact saving depends on current consumption patterns, equipment mix, and how actively the team acts on the data. Hidden consumption, peak demand reduction, and anomaly detection typically each contribute 5–12% independently.

The SIOTA dashboard displays live energy consumption by circuit, zone, floor, or asset; historical trend analysis; peak demand graphs; anomaly alerts; multi-location benchmarking; carbon footprint data; and exportable reports for BRSR and ESG compliance. All data is accessible from any browser or mobile device.

Yes. SIOTA's platform is built for multi-site operations. All locations stream data to a single centralised dashboard, enabling real-time comparison of energy intensity across sites, identification of outlier locations, and portfolio-wide benchmarking — without on-site staff at each location.

Typically 2–4 months. For a facility spending ₹5 lakh per month on electricity, the 15–30% savings range represents ₹75,000 to ₹1.5 lakh saved every month. Most clients recover the implementation cost within the first billing cycle after optimisation begins.

Yes. SIOTA's EMS is retrofit-compatible and works with any electrical infrastructure — regardless of age, brand, or configuration. No changes to existing wiring, panels, or equipment are required.

The system captures total energy consumption by time period, location, and asset category; peak demand records; power factor data; and trend analysis across reporting periods. All data is exportable in standard formats and provides the documented, auditable energy trail that BRSR and ESG disclosures require.

Yes. The SIOTA dashboard is fully responsive and accessible from any smartphone, tablet, or desktop browser. Mobile alerts for anomalies and threshold breaches are also configurable.

Yes. Facility teams and management can configure custom alerts for any combination of thresholds — peak demand approaching a predefined limit, consumption in a zone exceeding baseline, or equipment drawing abnormal current. Alerts are delivered via SMS, email, or mobile push notification.

SCADA systems are typically wired, complex to deploy, expensive to maintain, and require trained engineers on-site. SIOTA's EMS is wireless, cloud-based, and deployable without civil work or specialist staff. It is built specifically for facility energy management at commercial scale, not industrial process control.

Yes. SIOTA's EMS is the centralised intelligence layer that connects to all building systems — HVAC, DG sets, lighting, and other equipment. This unified view is what enables decisions about optimisation across all energy-consuming systems simultaneously.

SIOTA's IoT devices include local data buffering. Consumption data is stored on-device during connectivity loss and synced to the cloud platform once the connection is restored. There is no permanent data loss during network interruptions.

Yes. Additional circuits, zones, or entirely new locations can be added to the existing platform without replacing any installed hardware. The cloud dashboard scales automatically as new monitoring points are onboarded.

Access is role-based and configurable. Facility managers monitor day-to-day consumption and anomalies. CFOs and finance teams access cost and savings reports. Sustainability heads use the carbon and ESG data. CXOs typically access the executive summary view showing portfolio-wide performance.

The system tracks demand in 15-minute intervals — matching the metering window used by DISCOMs for maximum demand charges. When consumption approaches a predefined peak threshold, alerts fire immediately. Over time, the data reveals which assets, times, and sequences drive peak events, enabling active demand management.

Yes. Scheduled reports can be configured to deliver daily, weekly, or monthly summaries to specified recipients via email. Reports include consumption breakdowns, anomalies detected, savings vs baseline, and progress against sustainability targets.

SIOTA's HVAC Automation is an IoT-based system that monitors and intelligently controls air conditioning, ventilation, and cooling equipment across commercial facilities. It replaces fixed timers and manual operation with occupancy-based, schedule-based, and data-driven control — reducing cooling costs by 15–25% without compromising comfort.

SIOTA's system works with all major types of commercial HVAC equipment — split ACs, VRF/VRV systems, chillers, AHUs (Air Handling Units), FCUs (Fan Coil Units), and packaged units. It is brand-agnostic and compatible with equipment from Daikin, Voltas, Blue Star, Carrier, Trane, LG, Hitachi, and others.

No. SIOTA's system is retrofit-compatible. IoT controllers and sensors are installed on your existing HVAC equipment. No replacement of existing units is required, and the installation does not void existing equipment warranties.

Occupancy-based control uses motion sensors, CO2 sensors, or integration with access control systems to detect actual building occupancy in real time. The HVAC system automatically reduces cooling load in unoccupied zones and adjusts setpoints when occupancy increases — eliminating the single largest source of HVAC energy waste: cooling empty spaces.

Facilities typically achieve 15–25% reduction in cooling-related electricity costs. HVAC accounts for 40–60% of a commercial building's total electricity consumption, so this saving is substantial. For a facility spending ₹3 lakh per month on electricity, the HVAC saving alone can be ₹45,000–₹75,000 per month.

Yes. Facility managers and operations teams can monitor and adjust temperature setpoints, scheduling, and zone-wise controls from any device via the SIOTA dashboard — without being on-site. Unauthorised override of setpoints by occupants can also be restricted through the system.

Pre-cooling involves running HVAC at full capacity before the peak demand window (typically 9–11 AM and 2–4 PM) to bring the building to a comfortable temperature, then reducing load during the peak period. SIOTA's system automates this strategy, which can reduce peak demand charges — one of the largest and most avoidable components of a commercial electricity bill.

IoT sensors continuously monitor current draw, refrigerant pressure proxies, operating temperatures, and runtime patterns for each HVAC unit. When any parameter deviates from established baseline — such as a compressor drawing more current than normal — the system generates an alert, enabling intervention before a fault becomes a failure or an emergency.

Yes. SIOTA's platform supports zone-level control across any number of floors, wings, or separate buildings. All zones are managed from a single dashboard, with the ability to set different schedules, setpoints, and occupancy triggers for each zone independently.

Physical installation typically takes less than one working day for a standard commercial floor. The system is live within 48 hours. No civil work, no duct modification, and no shutdown of operations is required.

Yes. The system captures detailed records of HVAC energy consumption by zone and time period — data that is directly relevant to the energy intensity disclosures required under BRSR. It also documents the efficiency improvements achieved through automation, which is increasingly material for ESG reporting.

Schedule-based control switches HVAC on and off based on fixed times (e.g., 9 AM–7 PM on weekdays). Occupancy-based control responds to actual building use in real time — so HVAC reduces automatically when an area empties during lunch or a public holiday, even if the schedule says it should be on. Occupancy-based control delivers significantly greater savings.

No — when properly configured, it improves it. Occupants benefit from consistent temperatures maintained within a defined setpoint range, faster response to occupancy changes, and elimination of the "always cold" or "always warm" problem caused by manual or timer-based control. Setpoint limits can be configured to prevent extreme over-cooling or under-cooling.

Typically 2–4 months, depending on facility size, existing HVAC load, and baseline consumption. Because HVAC is the largest energy cost in most commercial buildings, the savings are immediate and recurring from the month of implementation.

Yes. SIOTA's HVAC automation platform can integrate with existing BMS infrastructure via standard protocols (BACnet, Modbus, MQTT). For facilities without a BMS, SIOTA's system functions as a standalone IoT control layer that adds intelligent HVAC management without requiring any BMS.

SIOTA's DG Monitoring System is an IoT-based platform that provides real-time visibility into diesel generator performance, fuel consumption, operating hours, and health parameters — across one or multiple DG sets simultaneously. It enables remote monitoring, fuel theft detection, preventive maintenance, and BRSR-compliant fuel consumption reporting.

The system monitors fuel level (real-time and trend), fuel consumption rate, load (kVA/kW), power factor, voltage and current per phase, operating hours, running vs idle time, engine temperature, start/stop events, and battery voltage. All parameters are captured continuously and displayed on the live dashboard.

Yes. SIOTA's system tracks fuel level in real time and generates immediate alerts for any unexplained drops — including those that occur at night or during low-activity periods when site supervision is minimal. The historical log provides a timestamped record of every significant fuel level change, enabling investigation of suspicious events.

Fuel theft most commonly occurs via siphoning during night hours or weekends. SIOTA's system detects this as a rapid fuel-level drop outside of normal operating periods — or a fuel drop that does not correspond to any logged generator runtime. The alert fires within minutes of the anomaly beginning.

Facilities typically achieve 10–20% reduction in generator operating costs. Savings come from eliminating idle running, accurate fuel reconciliation that exposes theft or leakage, optimised maintenance scheduling that prevents costly breakdowns, and right-sizing load distribution across multiple DG sets.

Yes. SIOTA's platform supports any number of DG sets — across a single campus or across multiple locations — from a single dashboard. Each DG set has its own monitoring panel, and the system enables comparison of performance and fuel efficiency across units.

No. IoT sensors — including non-intrusive fuel level sensors, CT clamps for electrical parameters, and temperature probes — are installed without modifying the generator itself or interrupting its operation. Installation is non-intrusive and typically completed within a few hours per DG set.

The system tracks runtime hours, load patterns, and health parameters for each DG set. When a unit approaches its scheduled maintenance interval — or when health parameters indicate an emerging issue — the system generates a maintenance alert. This prevents missed servicing, reduces unplanned breakdowns, and extends equipment life.

Yes. The system monitors the DG set's status in real time. If a power outage occurs and the generator fails to start — or starts but shuts down unexpectedly — an immediate alert is sent to the facility team and management via SMS, email, or mobile push notification, enabling rapid response.

Any facility where power continuity is critical — hospitals and healthcare facilities, data centres, manufacturing plants with continuous processes, cold storage, hotels, banks, and telecommunications infrastructure. Also valuable for any multi-location operator (retail chains, bank branches, co-working networks) where manual supervision of DG sets across sites is impractical.

The system creates an automated fuel log that records every refuelling event, fuel consumption reading, and generator runtime. This can be cross-referenced against vendor invoices and consumption records to identify discrepancies — exposing both supplier short-delivery and on-site pilferage.

Yes. By correlating fuel consumption data with energy output (kWh generated), the system calculates the cost per unit of DG power in real time. This is particularly useful for facilities that need to compare DG power costs against grid tariffs or allocate energy costs across departments or tenants.

Yes. The system captures Scope 1 emissions data (direct emissions from diesel combustion) by calculating CO2 equivalent from fuel consumption records. This data is exportable in the format required for BRSR disclosures and GHG reporting frameworks.

The system monitors load in real time and generates an immediate overload alert when load approaches or exceeds rated capacity. This enables the facility team to shed non-critical loads before an overload condition damages the generator or causes an automatic shutdown.

Installation is typically completed within 2–4 hours per DG set. The system is live and streaming data within 24 hours. No civil work, no DG shutdown beyond the brief installation period, and no modification to existing infrastructure is required.

SIOTA's system deploys wireless IoT sensors at critical points across a facility — server rooms, cold storage, pharmaceutical storage, hospital wards, food processing areas, warehouses — to monitor temperature and humidity in real time. The system streams live readings to a centralised dashboard and generates immediate alerts when conditions move outside predefined safe ranges.

Pharmaceutical companies and medical storage facilities (drug stability requirements), hospitals (operating theatres, ICUs, blood banks, vaccine storage), food processing and cold chain logistics, data centres and server rooms, textile and paper manufacturing (humidity-sensitive processes), and museums or archival storage. Any process or product with defined environmental requirements benefits.

Alerts are generated within seconds of a sensor reading crossing a threshold. Notifications are delivered via SMS, email, and mobile push simultaneously — so the facility team is informed immediately, not after a manual check cycle.

SIOTA's system generates a sensor offline alert independently of temperature/humidity alerts. If a sensor stops reporting, the team is notified immediately — eliminating the risk of a monitoring gap going undetected. This is critical for regulated facilities where continuous monitoring is a compliance requirement.

Yes. The platform maintains a continuous, timestamped log of every sensor reading. This log is tamper-evident and exportable for regulatory inspections, GMP (Good Manufacturing Practice) audits, CPCB compliance submissions, and BRSR reporting. Data is retained according to configurable retention policies.

There is no practical upper limit. A single facility can deploy tens or hundreds of sensors across different zones, rooms, or floors. All sensors stream to the same dashboard, and zones can be grouped by category (e.g., "Cold Storage", "Server Rooms") for easy navigation.

SIOTA's temperature and humidity sensors are wireless, battery-powered, and wall-mountable. No cabling, no civil work, and no disruption to existing operations. Installation of a standard monitoring point takes approximately 15 minutes. The sensors communicate via secure wireless protocols to the IoT gateway.

Yes, when integrated with SIOTA's broader EMS or HVAC automation platform. A temperature breach alert can trigger an automatic response — activating backup cooling, adjusting setpoints, or notifying staff — depending on the configuration. Standalone monitoring mode is also available if automated control is not required.

SIOTA's sensors cover a wide operational range: typically -40°C to +85°C for temperature and 0–100% RH for humidity. Cold chain and pharmaceutical-grade sensors with higher precision and tighter calibration are available for regulated environments.

Wireless sensors continue operating on battery backup during local power outages. The IoT gateway includes power backup capability for connectivity continuity. Data buffering at the device level ensures readings are retained and synced when connectivity is restored.

Yes. For facilities with energy-intensive cooling or climate control systems, temperature and humidity monitoring data provides the operational context for energy consumption — linking energy use to environmental maintenance outcomes. This is relevant for Scope 2 emissions reporting and energy intensity disclosures.

Yes. Each monitoring zone or individual sensor can have independently configured upper and lower threshold limits for both temperature and humidity. A server room, a pharmaceutical cold store, and a hospital blood bank will all have different alert parameters — and the system handles all of these simultaneously.

Sensor battery life depends on the reporting frequency configured. At standard commercial settings (readings every 5–15 minutes), battery life is typically 2–5 years. High-frequency reporting (every 1 minute) reduces battery life. SIOTA's platform includes a low-battery indicator on the dashboard for proactive replacement scheduling.

SIOTA's platform can produce data exports that support calibration documentation and compliance audits. For GMP-regulated environments, SIOTA also supports integration with third-party calibration certificates for individual sensors.

SIOTA's Lighting Automation system uses IoT controllers, smart switches, and motion sensors to automate the on/off scheduling, dimming, and occupancy-based control of lighting across commercial facilities — including street lights, parking lot lights, common area lighting, and interior zones. It eliminates after-hours waste, reduces lighting electricity costs by 20–40%, and enables centralised control from a single dashboard.

Street lights and pathway lights on campuses, IT parks, and institutional grounds; parking lot and basement parking lighting; building exterior and perimeter lighting; lobby, corridor, and stairwell lighting; retail floor and display lighting; office floor lighting; and signage lighting. Any lighting connected to the main electrical supply can be brought under IoT control.

Facilities typically achieve 20–40% reduction in lighting electricity costs. Street light and parking light scheduling alone can deliver 30–50% reduction versus always-on operation. Motion-sensor-controlled areas (corridors, parking, stairwells) consistently achieve up to 60% reduction. For a facility with a ₹80,000 per month lighting bill, this represents ₹24,000–₹48,000 in monthly savings.

After-hours operation — lights running throughout the night, over weekends, and during public holidays in areas with no occupants. Street lights, parking lights, and building exterior lights are the most common offenders. Most facilities have no automated mechanism to switch these off, and manual oversight is unreliable.

Dusk-to-dawn control uses light level sensors (lux sensors) to automatically switch outdoor lighting on at sunset and off at sunrise — regardless of the season or the time of year. This eliminates the need to manually adjust fixed-time schedules as daylight hours change through the year, which is a common source of after-hours waste.

PIR (Passive Infrared) or microwave motion sensors detect movement in a zone. When motion is detected, lights in that zone activate to full brightness. When the zone has been unoccupied for a configurable duration (e.g., 5–10 minutes), lights automatically dim to a low standby level or switch off entirely. This is standard for parking basements, corridors, and stairwells.

Yes. SIOTA's platform enables centralised on/off control, scheduling, and monitoring of lighting across all locations from a single dashboard. A retail chain with 50 branches, a bank with 200 offices, or a co-working network with 15 centres can manage all lighting from one interface — without on-site staff at each location.

SIOTA's system is retrofit-compatible. IoT controllers are installed in existing switch boards and light circuits — no change to existing fittings, cabling, or infrastructure is required. LEDs, tube lights, and HID fixtures (for parking and street lighting) are all compatible.

Yes, for dimmable fittings. SIOTA's platform supports 0–10V and DALI dimming protocols, enabling gradual dimming based on time of day, occupancy, or daylight availability. For fixed-brightness fittings, on/off scheduling and occupancy-based switching is applied.

For a standard floor or zone, IoT lighting controllers are installed within a few hours. A complete campus or multi-building installation typically takes 1–3 days. No civil work, no re-wiring, and no operational shutdown is required.

Yes. Manual override is available from the dashboard, from local switch panels, or via the mobile app. Overrides can be time-limited (e.g., "on for 2 hours") or permanent until manually reversed. Override events are logged in the system for energy accounting purposes.

IT parks and SEZs (large outdoor and common area footprints), hospitals and healthcare campuses (24/7 facilities with significant after-hours lighting), malls and retail complexes (large parking areas and common zones), manufacturing plants (perimeter and loading bay lighting), bank branch networks (consistent waste across large portfolios), and gated residential societies (street lights and clubhouse areas).

Yes. The system logs detailed lighting energy consumption by zone and time period. This provides the documented reduction data needed for BRSR energy intensity disclosures and supports Scope 2 emissions calculations. Automated after-hours savings are quantified and exportable.

Yes. The dashboard displays the current status of every lighting zone in real time, a schedule view showing planned on/off times, and a historical log of actual operation versus schedule. Deviations — such as a zone that remained on despite a scheduled off period — are flagged for review.

Lighting reverts to its last-set state during a connectivity outage and continues operating normally. Schedules stored on the local controller continue to execute without a cloud connection. When connectivity is restored, the system resynchronises and logs any events that occurred during the outage.

Predictive maintenance uses continuous IoT sensor data — current draw, vibration, temperature, runtime patterns — to detect early signs of equipment degradation before a failure occurs. Unlike scheduled maintenance (which services equipment at fixed intervals regardless of condition) or reactive maintenance (which responds after failure), predictive maintenance enables intervention at the optimal moment — when early warning signs appear but before the fault causes downtime or damage.

HVAC systems (chillers, AHUs, compressors, cooling towers), DG sets, pumps, motors, lifts and escalators, UPS systems, transformers, and other critical electrical and mechanical assets. The system can be applied to any equipment where early fault detection prevents costly failure.

Scheduled maintenance services equipment at fixed calendar or runtime intervals — regardless of whether the equipment actually needs it. Predictive maintenance uses real sensor data to determine when maintenance is actually required based on the equipment's condition. This eliminates unnecessary servicing of healthy equipment while ensuring deteriorating equipment is caught early.

Abnormal current draw (a motor working harder than normal due to bearing wear or mechanical resistance), unusual runtime patterns (equipment running longer to achieve the same output), operating temperature increases above baseline, increased power factor deviation, and vibration anomalies (for equipment with vibration sensors). Each of these typically precedes failure by days to weeks.

Unplanned failure costs typically include emergency repair or replacement (2–5x the cost of planned servicing), production or operational downtime, spoilage or quality losses (in cold chain or manufacturing), and emergency contractor call-out charges. Early intervention through predictive maintenance consistently reduces total maintenance costs by 20–30% and near-eliminates emergency breakdowns.

For basic current-based anomaly detection, SIOTA's existing EMS sensors provide sufficient data. For more granular predictive analysis — particularly for rotating equipment — additional sensors such as vibration probes or thermal sensors may be installed at key measurement points on the equipment.

The platform observes each equipment's operating parameters during a commissioning period (typically 2–4 weeks) and establishes a statistical baseline for normal operation under different load conditions, times of day, and seasonal patterns. Anomaly detection then identifies deviations from this specific baseline — not from generic industry averages.

Yes. SIOTA's dashboard includes a health status view that ranks equipment by anomaly severity — from "operating normally" through "watch" and "caution" to "critical alert". This enables maintenance teams to prioritise their work order queue based on actual equipment condition rather than a fixed schedule.

Hospitals (where HVAC and power system failure has direct patient safety consequences), manufacturing plants (where equipment downtime stops production lines), data centres (where thermal management failures risk hardware damage), cold chain and food storage facilities (where cooling failure causes product loss), and co-working and office campuses (where lift or HVAC failure creates a service delivery crisis).

Degrading equipment consumes more energy to deliver the same output. A chiller with a dirty heat exchanger, a motor with worn bearings, or an AHU with a blocked filter all draw excess current. SIOTA's system detects this performance degradation — which means maintenance intervention also restores equipment to optimal energy efficiency, often delivering measurable energy savings alongside reliability improvement.

Yes. SIOTA's platform can generate maintenance alerts with equipment ID, anomaly description, historical trend, and recommended action. These can be sent directly to the maintenance team via SMS, email, or integrated with the facility's existing CMMS (Computerised Maintenance Management System) if one is in use.

Clients with a robust predictive maintenance implementation typically see 60–80% reduction in unplanned equipment downtime within the first year. The majority of what were previously emergency failures are converted to planned interventions — with no operational disruption.

Yes. The system's continuous operating logs provide documented evidence of equipment operating conditions, maintenance alerts issued, and actions taken. This documentation is valuable for warranty claims (proving the equipment operated within specified conditions), insurance claims (demonstrating maintenance compliance), and regulatory inspections.

Yes. Multi-year trend data on equipment health and degradation rates enables CFOs and facility heads to plan equipment replacement or refurbishment based on data — rather than guesswork. Equipment that is degrading can be flagged for budgeted replacement well in advance, avoiding emergency capital expenditure.