You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 8 Next »

Overview

HiveMQ's MQTT Broker is a client-based messaging platform designed to move data to and from connected IIoT devices using the MQTT protocol. This platform facilitates instant, bi-directional data push between devices and enterprise systems.

The integration of HiveMQ addresses challenges in building scalable and reliable IIoT applications, ensuring fast data delivery, reducing operational costs through efficient resource use, securely integrating IIoT data into enterprise systems, and connecting to industrial devices for data modeling.

HiveMQ provides high-performance, scalable MQTT brokers for on-premises installations and cloud solutions. Since our first integration test, it has become our internal standard for large-scale and cloud requirements.

On this page:

New Partnership and Product Offering

As your applications grows or you want the benefit and support of a scalable enterprise class MQTT Broker. Our new product offering bundles multiple levels of HiveMQ’s MQTT Broker technology with products.

Introduction

The HiveMQ Broker can be set up to run as a default application (command window) or as a service. 


Tatsoft’s FrameworX combined with HiveMQ is built to address some of the key technical challenges organizations face when building new Industrial Internet of Things applications, including:

  • Building reliable and scalable business critical IIoT applications.
  • Fast data delivery to meet the expectations of end users for responsive IIoT products.
  • Reduced operational costs through the efficient utilization of hardware, network, and cloud resources.
  • Securely Integrating IIoT data into existing enterprise systems.
  • Connecting to Industrial Devices and Modeling your Data.

Pre-Installation Requirements

To install HiveMQ on Windows, Linux or MacOS you need to meet the following requirements:

  • At least 4GB of RAM. (information available at the HiveMQ website).
  • 4 or more CPUs. (information available at the HiveMQ website).
  • 100GB or more free disk space (information available at the HiveMQ website).
  • Java Runtime Environment 11 or newer. See here.

Installation Procedure

1. Install our software platform with the Complete option, or enable HiveMQ installation on Custom.

2. Alternatively, you can download HiveMQ zip file directly from here, and unzip.

3. To launch the Broker, run the batch file at ...bat with admin privileges. By default, the file will be at: C:\Program Files (x86)\Tatsoft\FactoryStudio\fs-9.2\HiveMQ\bin

4. To check if the Broker is set up correctly, navigate with your browser to http://localhost:8080 to access the HiveMQ Control Center. The default login credentials are admin for user and hivemq for password.


By default, the HiveMQ broker starts on localhost IP (127.0.0.1) and listens to port 1883.

Installing as a Service

1. Download the hivemq-windows-service.zip.

2. Unzip the hivemq-windows-service.zip file.

3. Copy the windows-service folder to your HiveMQ home folder.

4. Open the windows-service folder.

5. Launch the installService.bat file with admin privileges.

6. Restart your system.


Notes about software platform embedded broker

Our software platform has a built-in MQTT Broker (TMQTTBroker), intended to supply a simple out-of-box solution for the development environment or embedded edge devices. That tools does not have the administration features available at HiveMQ broker, therefore for production and enterprise environments we recommend the HiveMQ broker instead of the embedded one.

Designing an Edge to Cloud Architecture for IIoT

In this webinar, experts from Tatsoft and HiveMQ discussed the key components of a modern edge to cloud IIoT architecture, identified key challenges to its implementation, and demonstrated Tatsoft’s recent product release of FrameworX, which includes support for MQTT and Sparkplug.

In this section:

The root page @parent could not be found in space v10.

  • No labels