Predictive Cleaning

Solution Group

Industry

Smart Facility
Building and Construction

PoC Duration

Iotellect Match

5-10 days
AI powered Low Code IoT/IIoT Platform

Optimize cleaning operations with data-driven insights. Use sensor data and machine learning algorithms to predict and prevent dirt, grime and blockage buildup, reducing cleaning frequencies and maintenance costs. Build your own predictive cleaning service or product based on a powerful IoT platform.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Predictive Cleaning Devices

image
Edge gateways
image
Smart waste bins
image
Occupancy and air quality sensors
image
Autonomous cleaning robots
image
GPS/GNSS trackers
for cleaning and maintenance vehicles
image
Smart restroom equipment
image
Restroom feedback systems
  • The wide range of device drivers are used to connect to diverse sensor types, such as occupancy sensors, air quality sensors, and smart waste bins
  • Agent SDK allows connections with legacy building management systems and devices
  • The platform's snapshot and synchronization technology is used to ensure data is captured from devices even with intermittent connectivity
  • Group operations allow facility managers to apply settings and configurations to multiple sensors or areas simultaneously
  • Remote updates and maintenance of sensor devices and gateways

Connectivity and Management

  • REST API and web services allow for seamless integration with existing scheduling, workflow management, and facility management software
  • Export/import capabilities allow for transferring data between the Predictive Cleaning solution and other enterprise systems
  • The database connectors allows for low-code integrations with existing facility databases, leveraging historical cleaning data and building information
  • Event forwarding to external notification systems enables real-time alerts to cleaning staff through SMS, email, or other applications

Integration

  • The expression language enables custom rules and thresholds to be defined for triggering cleaning alerts based on sensor readings and environmental conditions
  • The statistical process control module can be used to track historical cleaning data and identify trends in usage patterns
  • Machine learning algorithms allow for predicting cleaning needs and optimizing cleaning schedules based on historical data and real-time conditions
  • Dynamic groups are used to automatically identify areas requiring immediate attention based on real-time sensor data and predefined thresholds

Analytics

  • The visual UI editor allows users to quickly create interactive dashboards and maps to visualize cleaning needs, schedules, and resource allocation
  • Charts and diagrams provide clear and insightful representations of cleaning data, trends, and performance indicators
  • The reporting engine enables generating detailed reports on cleaning activities, resource usage, and cost optimization
  • Web-based user interfaces allow facility managers to access the Predictive Cleaning solution from any device with a web browser

UI/UX

Key Features
of Your Predictive Cleaning Solution

Customers and Partners

  • Independent Software Vendors
  • IoT Solution Providers
  • Original Equipment Manufacturers
  • Facility Management Companies
  • Industrial Cleaning Service Providers

Solution Users and Developers

  • Dedicated low code developers
  • Building automation engineers
  • IoT solution architects
  • Facility maintenance managers
  • Smart facility engineers
Customer success team
Community
Online training

Assistance