US-20260127958-A1 - OPERATIONAL INFORMATION OF A FIRE DEVICE

US20260127958A1US 20260127958 A1US20260127958 A1US 20260127958A1US-20260127958-A1

Abstract

Devices, systems, and methods for operational information from a fire device are described herein. In some examples, one or more embodiments include a memory and a processor to execute instructions stored in the memory to receive an input query for operational information for the fire device, provide the input query to a small language model associated with the fire device and trained to provide information about the fire device, and generate, using the small language model, a response to the input query including the operational information.

Inventors

Girish Jangam Gangadharam
Sudeep Jayakumar Duge
Vikranth Ashok Kaddi
Sameer Tripathi

Assignees

HONEYWELL INTERNATIONAL INC.

Dates

Publication Date: 20260507
Application Date: 20241106

Claims (20)

1 . A fire device, comprising: a memory; and a processor configured to execute executable instructions stored in the memory to: receive an input query for operational information for the fire device; provide the input query to a small language model associated with the fire device and trained to provide information about the fire device; and generate, using the small language model, a response to the input query including the operational information.
2 . The fire device of claim 1 , wherein the small language model is trained utilizing local fire device operational data to generate the response to the input query.
3 . The fire device of claim 2 , wherein the local fire device operational data includes at least one of: configuration file information; an event log for the fire device; diagnostic data for the fire device; and source code information for the fire device.
4 . The fire device of claim 1 , wherein the input query is comprised of natural language.
5 . The fire device of claim 1 , wherein the response to the input query is comprised of natural language.
6 . The fire device of claim 1 , wherein the small language model is a multimodal small language model.
7 . The fire device of claim 1 , wherein the small language model is saved locally in the memory of the fire device.
8 . The fire device of claim 1 , wherein the fire device is a fire control panel.
9 . A method, comprising: receiving, by a fire control panel, an input query for operational information for the fire control panel; providing, by the fire control panel, the input query to a small language model associated with the fire control panel and trained utilizing local fire device operational data to provide information about the fire control panel, wherein the small language model is saved locally at the fire control panel; and generating, by the fire control panel using the small language model, a response to the input query including the operational information.
10 . The method of claim 9 , wherein the method further includes logging additional local fire device operational data.
11 . The method of claim 10 , wherein the method includes retraining the small language model utilizing the additional local fire device operational data.
12 . The method of claim 9 , wherein the method further includes receiving an input query about operational information for a fire device that is different from the fire control panel.
13 . The method of claim 12 , wherein the method includes transmitting, by the fire control panel in response to the input query being about the fire device that is different from the fire control panel, the input query to a remote server having a large language model.
14 . The method of claim 13 , wherein the method includes generating, by the remote server using the large language model trained utilizing remote fire device operational data to provide information about fire devices in a fire system, a response to the input query about the operational information for the fire device that is different from the fire control panel.
15 . The method of claim 14 , wherein the method includes transmitting, by the remote server, the response to the fire control panel.
16 . A fire system, comprising: a remote server including a large language model trained utilizing remote fire device operational data from a plurality of fire devices in the fire system; and a fire device of the plurality of fire devices, wherein the fire device is configured to: receive an input query for operational information; in response to the input query being for operational information for a different fire device of the plurality of fire devices, transmit the input query to the remote server; in response to the input query being for operational information for the fire device, provide the input query to a small language model associated with the fire device and trained to provide information about the fire device; and generate, using the small language model, a response to the input query including the operational information; wherein the remote server is configured to generate, using the large language model, a response to the input query including the operational information for the different fire device.
17 . The fire system of claim 16 , wherein: the input query includes a request to generate a report detailing operational parameters for the fire device; the small language model is configured to analyze local fire device operational data; and the response to the input query includes the report detailing the operational parameters for the fire device.
18 . The fire system of claim 16 , wherein: the input query includes a request to diagnose a fault in one of the plurality of fire devices; in response to the request being for the fire device, the fire device is configured to determine, using the small language model, a cause of the fault in the fire device; in response to the request being for a different fire device, the remote server is configured to determine, using the large language model, the cause of the fault in the different fire device; and the response to the input query includes the cause of the fault in the fire device or the different fire device.
19 . The fire system of claim 16 , wherein: the input query includes a request to predict a future fault in one of the plurality of fire devices; in response to the request being for the fire device, the fire device is configured to predict, using the small language model, whether a future fault will occur with the fire device; in response to the request being for the different fire device, the remote server is configured to predict, using the large language model, whether a future fault will occur with the different fire device; and the response to the input query includes whether a future fault will occur with the fire device or the different fire device.
20 . The fire system of claim 16 , wherein: the input query includes a request for steps to commission the fire device; the small language model is configured to analyze local fire device operational data; and the response to the input query includes the steps to commission the fire device.

Description

TECHNICAL FIELD The present disclosure relates to devices, systems, and methods for operational information of a fire device. BACKGROUND Facilities, such as commercial facilities, office buildings, hospitals, campuses (e.g., including buildings and outdoor spaces), and the like, may have an event detection system that can be triggered during an event, such as an emergency situation (e.g., a fire) to warn occupants to evacuate. Such an event detection system may include an alarm system having a control panel and a number of event devices (e.g., sensors, sounders, pull stations, etc.) located throughout the facility (e.g., on different floors and/or in different rooms of the facility) that can perform an action when an event (e.g., a hazard event, a fault event, etc.) is occurring in the facility. In an example of an event, the number of event devices may provide a notification of the event to the occupants of the facility via alarms and/or other mechanisms. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an example of a system for operational information from a fire device, in accordance with one or more embodiments of the disclosure. FIG. 2 illustrates an example of training a small language model and a large language model, in accordance with one or more embodiments of the disclosure. FIG. 3 illustrates an example of an input query being provided to a small language model and/or a large language model, in accordance with one or more embodiments of the disclosure. FIG. 4 is an example of a fire device for operational information from a fire device, in accordance with one or more embodiments of the disclosure. DETAILED DESCRIPTION Devices, systems, and methods for operational information from a fire device are described herein. In some examples, one or more embodiments include a memory and a processor to execute instructions stored in the memory to receive an input query for operational information for the fire device, provide the input query to a small language model associated with the fire device and trained to provide information about the fire device, and generate, using the small language model, a response to the input query including the operational information. A facility can utilize an event detection system in order to warn occupants of the facility of an emergency event, such as a fire. An event detection system can be a system of devices that operate to collect information about a facility and provide the collected information for analysis. Such an event detection system can also take actions based on the collected information, such as providing an audible and/or visible warning in an emergency event. For example, the event detection system can utilize event devices to warn occupants of an emergency event occurring in a space, such as a fire. As used herein, the term “event device” refers to a device that can receive an input relating to an event and/or generate an output relating to an event. Such event devices can be a part of the event detection system of a space in a facility/in the facility at large and can include devices such as fire devices including fire sensors, smoke detectors, heat detectors, carbon monoxide (CO) detectors, or combinations of these; fire control panels; air quality sensors; interfaces; manual call points (MCPs); pull stations; input/output modules; aspirating units; fire doors; and/or audio/visual devices (e.g., speakers, sounders, flashers, buzzers, microphones, cameras, video displays, video screens, etc.), relay output modules, among other types of event devices. Such event devices may also include self-test capabilities. In a case where a query about a fire device and/or an event device associated with the fire device occurs, technical support is normally involved to determine a response to the query. For example, if a malfunction with the fire device occurs, a query may include a request as to why the malfunction occurred. Technical support may be contacted in order to troubleshoot the malfunction to determine the cause of and solution for fixing the malfunction. Determining the response to the query may involve technical review and/or analysis of fire device operational data. For example, a technical support person may have to manually review event logs, diagnostic data, configuration file information, source code information, etc. in order to determine a response to a particular query about the fire device. However, the technical support person may not be located in a same geographical area as the facility and/or the event system. Due to these geographical limitations, meetings between the technical support person and personnel on-site at the facility having the event system may be difficult because of time zone differences. Operational information of a fire device, according to the disclosure, can allow for a user to provide an input query for operational information about a fire device. The fire device can include a trained small language model that can generate