### 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)

"""
        Drain the to_create queue and create all triggers that have been
        requested in the DB that we don't yet have.
        """
        while self.to_create:
            trigger_id, trigger_instance = self.to_create.popleft()
            if trigger_id not in self.triggers:
                task_instance: TaskInstance = trigger_instance.task_instance
                dag_id = task_instance.dag_id
                run_id = task_instance.run_id
                task_id = task_instance.task_id
                map_index = task_instance.map_index
                try_number = task_instance.try_number
                self.triggers[trigger_id] = {
                    "task": asyncio.create_task(self.run_trigger(trigger_id, trigger_instance)),
                    "name": f"{dag_id}/{run_id}/{task_id}/{map_index}/{try_number} (ID {trigger_id})",
                    "events": 0,
                }
            else:
                self.log.warning("Trigger %s had insertion attempted twice", trigger_id)
            await asyncio.sleep(0)
    async def cancel_triggers(self):