### Apache Airflow version

main (development)

### What happened

Airflow has `job_heartbeat_sec` (default 5) that was updated to 50 seconds in our environment. This caused 2 instances of triggerer process running for HA to keep updating triggerer_id since below query takes current time minus 30 seconds to query against the latest_heartbeat. This causes alive_triggerer_ids to return empty list since job_heartbeat_sec is more than 50 seconds and the current trigger running this query assigns the triggers to itself. This keeps happening moving triggers from one instance to another.

https://github.com/apache/airflow/blob/62a534dbc7fa8ddb4c249ade85c558b64d1630dd/airflow/models/trigger.py#L216-L223

### What you think should happen instead

The heartbeat calculation should have a value based on job_heartbeat_sec rather than 30 seconds hardcoded so that queries to check triggerer processes alive are adjusted as per user settings.

### How to reproduce

1. Change job_heartbeat_sec to 50 in airflow.cfg
2. Run 2 instances of triggerer.
3. Make an operator that uses `FileTrigger` with the file being absent or any other long running task.
4. Check triggerer_id for the trigger which keeps changing. 

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

#
#
"""Triggerer command."""
from __future__ import annotations
import signal
from contextlib import contextmanager
from functools import partial
from multiprocessing import Process
from typing import Generator
import daemon
from daemon.pidfile import TimeoutPIDLockFile
from airflow import settings
from airflow.configuration import conf
from airflow.jobs.job import Job, run_job
from airflow.jobs.triggerer_job_runner import TriggererJobRunner
from airflow.utils import cli as cli_utils
from airflow.utils.cli import setup_locations, setup_logging, sigint_handler, sigquit_handler
from airflow.utils.serve_logs import serve_logs
@contextmanager
def _serve_logs(skip_serve_logs: bool = False) -> Generator[None, None, None]: