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Entities and relations

Entities Overview

Tesenso IoT Cloud provides the user interface and REST APIs to provision and manage multiple entity types and their relations in your IoT application. Supported entities are:
  • Tenants - you can treat the tenant as a separate business-entity: it’s an individual or an organization who owns or produce devices and assets; Tenant may have multiple tenant administrator users and millions of customers, devices and assets;
  • Customers - the customer is also a separate business-entity: individual or organization who purchase or uses tenant devices and/or assets; Customer may have multiple users and millions of devices and/or assets;
  • Users - users are able to browse dashboards and manage entities;
  • Devices - basic IoT entities that may produce telemetry data and handle RPC commands. For example, sensors, actuators, switches;
  • Assets - abstract IoT entities that may be related to other devices and assets. For example factory, field, vehicle;
  • Entity Views - useful if you like to share only part of device or asset data to the customers;
  • Alarms - events that identify issues with your assets, devices, or other entities;
  • Dashboards - visualization of your IoT data and ability to control particular devices through the user interface;
  • Rule Node - processing units for incoming messages, entity lifecycle events, etc;
  • Rule Chain - defines the flow of the processing in the Rule Engine. May contain many rule nodes and links to other rule chains;
Each entity supports:
  • Attributes - static and semi-static key-value pairs associated with entities. For example serial number, model, firmware version;
  • Time-series data - time-series data points available for storage, querying and visualization. For example temperature, humidity, battery level;
  • Relations - directed connections to other entities. For example contains, manages, owns, produces.
Some entities support profiles:
  • Tenant Profiles - contains common settings for multiple tenants: entity, API and rate limits, etc. Each Tenant has the one and only profile at a single point in time.
  • Device Profiles - contains common settings for multiple devices: processing and transport configuration, etc. Each Device has the one and only profile at a single point in time.
Entity Groups:
Tesenso IoT Cloud allows you to configure Entity Groups for Customers, Users, Devices, Assets, Entity Views and Dashboards. Each entity may belong to multiple groups simultaneously. Entity Group always have an owner - particular Tenant or Customer. All entities in the group must have the same entity type (i.e. You can’t put device and asset into one group). Entity Groups are useful for dashboards and data processing, but the primary reason of their existence is to support advanced Role-Based Access Control (RBAC) for IoT.
Integrations and Data Converters:
Tesenso IoT Cloud Platform integrations feature was designed for two primary use cases / deployment options:
  • Connect existing NB IoT, LoRaWAN, SigFox and other devices with specific payload formats directly to Tesenso IoT Cloud platform.
  • Stream data from devices connected to existing IoT Platforms to enable real-time interactive dashboards and efficient data processing.
Data Converters is a part of the Platform Integrations feature. Their purpose is to transform raw payload from device to the format that Tesenso IoT Cloud uses and vise-versa.
This guide provides an overview of the features listed above, some useful links to get more details, and real-life examples of their usage.

Relations

Entity relation defines connection between two Tesenso IoT Cloud entities that belong to the same Tenant. The relation has an arbitrary type: Contains, Manages, Supports, etc. The relation is also directional. You may treat Tesenso IoT Cloud relations as a Has-a relationship from object-oriented programming.
Relations help to model physical world objects in Tesenso IoT Cloud . The easiest way to understand them is using the example. Let’s assume we want to build an application that collects data from soil moisture and temperature sensors, visualize this data on the dashboard, detect issues, raise alarms and control the irrigation. Let’s also assume we want to support multiple fields with hundreds of sensors. Fields may be also grouped into the Geo regions.
The following diagram explains how those entities are configured and stored in Tesenso IoT Cloud: