### 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)

"""Starts Airflow Triggerer."""
    settings.MASK_SECRETS_IN_LOGS = True
    print(settings.HEADER)
    triggerer_job_runner = TriggererJobRunner(job=Job(), capacity=args.capacity)
    if args.daemon:
        pid, stdout, stderr, log_file = setup_locations(
            "triggerer", args.pid, args.stdout, args.stderr, args.log_file
        )
        handle = setup_logging(log_file)
        with open(stdout, "a") as stdout_handle, open(stderr, "a") as stderr_handle:
            stdout_handle.truncate(0)
            stderr_handle.truncate(0)
            daemon_context = daemon.DaemonContext(
                pidfile=TimeoutPIDLockFile(pid, -1),
                files_preserve=[handle],
                stdout=stdout_handle,
                stderr=stderr_handle,
                umask=int(settings.DAEMON_UMASK, 8),
            )
            with daemon_context, _serve_logs(args.skip_serve_logs):
                run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)
    else:
        signal.signal(signal.SIGINT, sigint_handler)
        signal.signal(signal.SIGTERM, sigint_handler)
        signal.signal(signal.SIGQUIT, sigquit_handler)
        with _serve_logs(args.skip_serve_logs):
            run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)