FUSION DVR Digital Recording and Transmission System

4.Select the Internet Protocol (TCP/IP) by clicking on it once. Once it is highlighted, select the Properties button. The Internet Protocol (TCP/IP) Properties window opens.

5.Select Use the Following IP Address option. Enter the IP Address and Subnet mask appropriate for your network. It is recommended to contact your Network Administrator for appropriate IP settings.

Example: Common IP addresses are 10.0.0.25 Common Subnet masks are 255.255.255.0

NOTE: In order to connect to the DVR unit through a remote LAN connection, a static IP address must be assigned. If the network assigns the IP address automatically (DHCP), contact the Network Administrator for help assigning a static IP address.

6.If the network requires specifying your DNS information, enter it now by selecting the appropriate DNS options.

7.When finished configuring the TCP/IP settings close the Internet Protocol (TCP/IP) Properties window by clicking the OK button.1

8.Close the Local Area Connection Properties window by clicking the OK button.

9.It may be required to restart Windows for the changes to take effect. Restart windows by selecting START on the desktop and selecting Restart.

9.2.2CONNECTING THE DVR TO A LAN

Using a standard RJ-45 cable, plug one end into a Hub (or Network Jack ultimately connected to a hub) and the other end into the DVR unit.

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Honeywell FUSION user manual Connecting the DVR to a LAN

FUSION specifications

Honeywell FUSION is an advanced data analytics platform designed specifically for enhancing operational efficiency and decision-making in various industries. Its primary aim is to provide actionable insights by leveraging extensive data from disparate sources, ultimately driving smarter business outcomes.

One of the standout features of Honeywell FUSION is its ability to integrate seamlessly with existing systems. This interoperability allows organizations to harness their current data infrastructures while augmenting them with powerful analytics capabilities. Users can connect FUSION to a wide range of data sources such as industrial control systems, enterprise resource planning (ERP) systems, and the Internet of Things (IoT) devices.

At the core of Honeywell FUSION are its robust analytical tools that utilize advanced algorithms and machine learning techniques. These tools enable organizations to perform predictive analytics, uncovering trends and patterns that might not be immediately evident. By analyzing historical data alongside real-time information, users can anticipate issues before they escalate and optimize operations accordingly.

Another key characteristic of Honeywell FUSION is its user-friendly interface. Designed with the end-user in mind, it offers easy navigation and intuitive dashboards that provide a comprehensive view of performance metrics and operational health. This democratization of data empowers users across various levels of an organization, from frontline employees to executives, to make informed decisions based on actionable insights.

Honeywell FUSION also emphasizes data security and compliance. Given the sensitive nature of industrial data, the platform incorporates robust security measures to protect against unauthorized access and data breaches. This focus on data integrity ensures that organizations can confidently leverage analytics while adhering to regulatory requirements.

Additionally, Honeywell FUSION integrates advanced visualization techniques that help users visualize complex datasets more effectively. These capabilities enable organizations to create interactive reports and tailored dashboards, facilitating better communication and understanding of insights.

In summary, Honeywell FUSION stands out as a comprehensive data analytics solution by offering seamless integration, powerful analytical tools, a user-friendly interface, enhanced security, and advanced visualization capabilities. By harnessing the power of data, Honeywell FUSION empowers organizations to enhance operational performance, drive efficiencies, and make data-driven decisions in an ever-evolving business landscape.