### 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)

"""
        name = self.triggers[trigger_id]["name"]
        self.log.info("trigger %s starting", name)
        try:
            self.set_individual_trigger_logging(trigger)
            async for event in trigger.run():
                self.log.info("Trigger %s fired: %s", self.triggers[trigger_id]["name"], event)
                self.triggers[trigger_id]["events"] += 1
                self.events.append((trigger_id, event))
        except asyncio.CancelledError as err:
            if timeout := trigger.task_instance.trigger_timeout:
                timeout = timeout.replace(tzinfo=timezone.utc) if not timeout.tzinfo else timeout
                if timeout < timezone.utcnow():
                    self.log.error("Trigger cancelled due to timeout")
            self.log.error("Trigger cancelled; message=%s", err)
            raise
        finally:
            
            
            
            
            with suppress(Exception):
                await trigger.cleanup()
            if SEND_TRIGGER_END_MARKER:
                self.mark_trigger_end(trigger)
            
            ctx_indiv_trigger.set(None)
            self.log.info("trigger %s completed", name)
    @staticmethod
    def mark_trigger_end(trigger):