### 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)

"""
        Watchdog loop that detects blocking (badly-written) triggers.
        Triggers should be well-behaved async coroutines and await whenever
        they need to wait; this loop tries to run every 100ms to see if
        there are badly-written triggers taking longer than that and blocking
        the event loop.
        Unfortunately, we can't tell what trigger is blocking things, but
        we can at least detect the top-level problem.
        """
        while not self.stop:
            last_run = time.monotonic()
            await asyncio.sleep(0.1)
            
            
            time_elapsed = time.monotonic() - last_run
            if time_elapsed > 0.2:
                self.log.error(
                    "Triggerer's async thread was blocked for %.2f seconds, "
                    "likely by a badly-written trigger. Set PYTHONASYNCIODEBUG=1 "
                    "to get more information on overrunning coroutines.",
                    time_elapsed,
                )
                Stats.incr("triggers.blocked_main_thread")
    @staticmethod
    def set_individual_trigger_logging(trigger):